So I’m seeing a very odd bug with the Digital Channels Bulk Export API (v2) regarding bot interactions. The job completes with a 200 OK, and the JSON files land in the S3 bucket correctly. However, the required legal_hold_tag and chain_of_custody_hash fields are absent from the metadata headers of the exported objects. This is critical for our discovery requests. The same configuration works perfectly for voice recordings. We are using the EU-West-1 region. The bot flows are built in Architect v12.4. The error is silent on the API side, but the downstream validation script fails with MetadataValidationException: Missing required field 'legal_hold_tag'.
I have verified the S3 bucket policy allows full write access for the Genesys Cloud service role. The IAM role trust relationship is correct. I suspect the digital channel export job does not pull the same metadata context as voice. Is there a specific flag or parameter in the POST /api/v2/recordings/bulkexport body that forces the inclusion of these legal metadata fields for chat and bot transcripts? The documentation mentions include_metadata: true, but it seems to only apply to call recordings. Any insight on how to enforce chain of custody headers for digital channels would be appreciated.
Generally speaking, the Digital Channels Bulk Export API does not inject forensic metadata by default. The absence of legal_hold_tag and chain_of_custody_hash is expected behavior for standard export jobs. Voice recordings differ because they pass through the media server pipeline, which has distinct retention hooks. Digital bot interactions are processed via the conversational API, which strips PII and audit trails unless explicitly configured in the retention policy resource.
Check the genesyscloud_routing_skill_group or the specific genesyscloud_conversation_settings resource in your Terraform state. The export job likely inherits settings from a default retention policy that lacks the include_audit_trail flag. You must attach a custom retention policy to the digital channel or the specific bot flow before triggering the bulk export.
resource "genesyscloud_routing_skill_group" "digital_audit" {
name = "Digital Audit Group"
description = "For bot interactions requiring chain of custody"
}
resource "genesyscloud_conversation_settings" "bot_audit_settings" {
name = "Bot Audit Settings"
description = "Enables forensic metadata for digital exports"
settings {
key = "digital.export.include_audit_trail"
value = true
}
settings {
key = "digital.export.legal_hold_enabled"
value = true
}
}
Ensure the bot flow is associated with this settings group. If the fields remain missing, verify the S3 bucket policy allows the genesyscloud service principal to write custom metadata headers. The platform rejects custom headers if the bucket policy is too restrictive. Also, run genesys cloud analytics:conversations:export:status --id <jobId> to check for silent failures in metadata generation. The API returns 200 OK even if optional metadata fields fail to generate. This is a known limitation in the v2 API documentation.