Need some help troubleshooting a metadata sync issue. The Architect flow tags calls with ‘LegalHold’ in the custom attribute, but the S3 manifest JSON from the bulk export job omits this field entirely. This breaks our chain of custody validation. The standard recording download includes it. Is the bulk export manifest schema ignoring custom attributes defined in the IVR context?
TL;DR: Bulk export manifests exclude custom attributes by default; use the includeCustomAttributes flag or post-process S3 objects.
It depends, but generally, the bulk export service optimizes for throughput by excluding dynamic custom attributes from the initial manifest generation to reduce payload size. This is a known behavior in the v2 API, not a bug. The standard recording download includes these fields because it fetches the full interaction object on demand.
To resolve the metadata mismatch for your legal discovery workflow, you have two primary options. First, verify if your bulk export configuration supports the includeCustomAttributes parameter in the request body. If available, set this to true. If the API version you are using does not support this flag in the manifest, the recommended pattern for AppFoundry integrations is to implement a post-processing step. Trigger an AWS Lambda function on S3 object creation that queries the Genesys Cloud Interaction API for the specific interaction ID, retrieves the custom attributes, and updates the local metadata store. This ensures the chain of custody remains intact without relying on the bulk export manifest schema.
Make sure you enable the includeCustomAttributes flag in the export request body.
“The bulk export service optimizes for throughput by excluding dynamic custom attributes”
This resolves the manifest mismatch.
TL;DR: The includeCustomAttributes flag works, but watch your request payload size during load tests.
You might want to look at the request body structure when enabling that flag. Adding custom attributes increases the JSON payload significantly. If you are running a high volume of export jobs, this extra data can push you closer to the API rate limits.
In my JMeter tests, I noticed that adding complex custom attributes slowed down the manifest generation by about 15%. It is not a blocking issue for most setups, but if you are pushing thousands of records, the throughput drops.
Also, verify that the custom attribute is actually populated at the time of the export job trigger. If the attribute is added post-call via a callback, the bulk export might still miss it if the job runs before the update completes. Check the timestamp on the interaction object in S3 to be sure.
{
"includeCustomAttributes": true
}