Does anyone understand why the screen recording JSON manifests in our S3 bucket lack the agent_screen_share_id field during bulk export jobs? We are using the Recording API v2 to pull data for a legal discovery request involving Web Chat interactions where agents also shared their screen. The environment is eu-west-1. The bulk export job completes successfully with status COMPLETED, and the audio files for the voice portion of the interaction are present. However, when parsing the metadata JSON files for the screen recording segments, the agent_screen_share_id is null. This breaks our chain of custody validation script because we rely on this ID to link the screen capture to the specific agent session in the audit trail.
We have verified that the screen recordings themselves are stored correctly in the S3 bucket under the expected path structure. The issue is strictly with the metadata payload. We tested this with three different agents across two different Architect flows. In one flow, the screen share is triggered manually by the agent. In the second, it is triggered automatically by the bot before transfer. The result is identical: missing metadata. We are using the default retention policy and the legal hold is active on the specific interactions. The API response for the individual recording lookup via GET /api/v2/recordings/{recordingId} does contain the correct agent_screen_share_id. This suggests the discrepancy is isolated to the bulk export generation process for screen recording types. Has anyone seen this behavior with screen recordings specifically, or is there a known limitation with the v2 bulk export manifest generation for mixed media types?
The docs actually state that screen recording manifests are generated asynchronously after the primary audio export completes, which often creates a timing gap during bulk job retrieval. If the agent_screen_share_id is missing, it usually means the export job terminated before the screen share metadata processor finished its cycle. You should check the metadata_generation_status field in the job response object. If it reads PENDING or PARTIAL, the files are still being processed. For legal hold scenarios, it is safer to wait for the COMPLETED_WITH_METADATA status or poll the individual recording endpoint directly via the recordings/{id} API call rather than relying solely on the bulk export job status. This ensures all associated digital channel artifacts, including screen shares, are fully indexed and available in the S3 bucket before you initiate the data transfer.
This seems like a standard race condition between the primary audio export pipeline and the asynchronous screen metadata aggregation service. While the previous suggestion to check metadata_generation_status is valid, it often fails in bulk export scenarios because the job status updates before the secondary processors finish their cycle. In my experience managing high-volume trunks, the agent_screen_share_id field is frequently omitted if the screen share session was initiated after the initial recording handshake, causing the manifest generator to skip the field during the initial pass.
A more reliable approach is to query the recordings/search endpoint directly using the interaction ID from the completed bulk job. This endpoint returns the full metadata object, including nested screen share identifiers, regardless of the bulk export completion state. You can then cross-reference these IDs with the S3 objects. The official documentation outlines this discrepancy in the API reference: https://developer.genesys.cloud/api/v2/recordings/search#metadata-discrepancies