How should I properly to pass chain of custody metadata to the S3 upload data action?
The export job fails immediately with a 400 Bad Request. The payload structure matches the documentation but the integration rejects the audit trail fields.
name: LegalHoldExport
action: s3_upload
config:
bucket: discovery-archive
folder: 2023-q4
metadata:
- key: custody_chain
value: "{{system.custody_hash}}"
- key: request_id
value: "{{trigger.request_id}}"
Any ideas why the hash validation is failing at the API layer?
Have you tried validating the metadata schema against the latest platform specifications? The 400 error often stems from missing audit trail fields that are now mandatory for compliance exports.
Verify that the custody hash is correctly formatted within the payload. The documentation indicates strict validation for chain of custody attributes in recent updates.
Yep, this is a known issue when dealing with strict schema validation in outbound campaign provisioning. The 422 error often stems from a mismatch between the dispositionCode in the API payload and the…
metadata:
custody_chain: "{{system.custody_hash}}"
request_id: "{{transaction.id}}"
Ensure the hash format matches the expected SHA-256 string exactly to bypass the validator.
The docs actually state that the S3 upload action within the Genesys Cloud platform does not natively support arbitrary metadata key-value pairs in the manner shown in the initial post. This is a critical distinction for AppFoundry developers integrating external storage solutions, as the 400 Bad Request is not a schema validation error regarding the hash format, but rather a structural rejection of the metadata array syntax itself. The platform’s native S3 integration is designed for basic archival with immutable timestamps and interaction IDs, not for custom legal hold metadata injection. To achieve the required chain of custody tracking, the architecture should bypass the native s3_upload action entirely and instead utilize a custom Data Action that leverages the AWS SDK directly via a Genesys Cloud-hosted Lambda function or a secure webhook to an intermediate API. This approach allows for precise control over the S3 PutObject request headers, specifically the x-amz-meta-* fields, which are the standard mechanism for storing custom metadata. Attempting to force custom keys through the native action will consistently fail because the underlying API endpoint does not map those fields to the AWS service call. Furthermore, relying on the native action for compliance-critical exports introduces significant risk regarding audit trail integrity, as the platform may sanitize or truncate fields it does not recognize. A custom integration ensures that the custody hash and request ID are preserved exactly as generated by the system, maintaining the integrity of the legal hold chain. This pattern is also more resilient to platform updates, as custom APIs are decoupled from internal changes to the native S3 connector. Ensure the custom endpoint handles OAuth token rotation correctly to maintain secure access to the S3 bucket.