Webrtc softphone recording metadata missing in bulk export

looking for advice on why the bulk export job for webrtc softphone interactions returns empty json manifests. the audio files land in the s3 bucket correctly, but the metadata required for chain of custody is absent. this matches the behavior seen with ai bot transcripts previously. any known workarounds for the recording api?

Make sure you verify the recording endpoint configuration before blaming the export job. Hey there. Looking at the missing metadata, the issue likely stems from how the WebRTC stream is being terminated or tagged in the initial API call. The bulk export relies on the recordingId and interactionId being properly linked in the manifest file generated at the end of the session. If the softphone client doesn’t explicitly send the correct headers during the WebSocket close event, the platform might store the audio but skip the metadata generation step.

Try adding a custom header in your JMeter test script to simulate the proper termination sequence. You can use a Header Manager to include X-Genesys-Recording-Metadata: true in the final POST request that ends the conversation. This forces the platform to process the metadata even if the default behavior is to skip it for performance reasons during high concurrency. Also, check the api/v2/recordings endpoint directly for a specific interaction ID. If the metadata is missing there, it’s a platform-side bug. If it’s present, the bulk export job might be filtering out incomplete records.

Here is a snippet for the JMeter HTTP Header Manager:

<HeaderManager>
 <elementProp name="X-Genesys-Recording-Metadata" elementType="Header">
 <stringProp name="Name">X-Genesys-Recording-Metadata</stringProp>
 <stringProp name="Value">true</stringProp>
 </elementProp>
</HeaderManager>

This approach ensures the metadata is captured regardless of the export timing. It’s a common workaround when dealing with async processing delays in the Singapore edge nodes. The throughput timer might also need adjustment to prevent race conditions where the audio finishes before the metadata is written. Keep the request rate steady to avoid overwhelming the recording service.