Can’t get this config to load properly… we are attempting to bulk export WhatsApp transcript recordings via the POST /api/v2/recordings/exports endpoint for a legal discovery request. the payload includes the legal_hold attribute set to true and specifies an S3 bucket destination. however, the job immediately transitions to failed status with a 400 Bad Request error. the response body indicates Invalid metadata structure for legal_hold. we are using the latest Genesys Cloud Python SDK version 5.2.1. the IAM role attached to the S3 bucket has full PutObject permissions and the trust policy allows the Genesys Cloud service principal. we have verified that the digital channel recording data exists in the system. the issue seems specific to the metadata schema validation during the export initiation. we need to ensure the chain of custody is preserved for these transcripts. any insights on the correct JSON structure for the metadata field when legal_hold is enabled? we are operating in the Europe/London timezone and the data is critical for an upcoming audit.
{
“legal_hold”: {
“enabled”: true,
“case_id”: “LH-2023-001”,
“reason”: “Discovery”
}
}
The `legal_hold` attribute is not a boolean flag within the export request payload. The platform expects a structured object containing specific metadata fields to comply with retention policies. Setting it to `true` causes the schema validation to fail, resulting in the 400 error.
Ensure the payload matches the nested structure shown above. The `case_id` must correspond to an active hold defined in the administration console. If the hold is not pre-configured, the export service will reject the request regardless of the S3 bucket permissions. This behavior is consistent with recent updates to the recordings API, where legal holds require explicit case references for audit trails. Verify the hold status in the Admin UI before retrying the export job.
I typically get around this by wrapping the export call in a terraform null_resource with a local-exec provisioner to handle the json payload strictly. the 400 error happens because the api schema validator is strict about the legal_hold object structure. setting it to a boolean true breaks the contract. you need to pass the nested object as shown above.
here is how i structure the deployment script to ensure the metadata is correct before hitting the endpoint:
resource "null_resource" "whatsapp_export" {
triggers = {
always_run = timestamp()
}
provisioner "local-exec" {
command = <<-EOT
curl -X POST "https://api.mypurecloud.com/api/v2/recordings/exports" \
-H "Authorization: Bearer ${var.genesys_token}" \
-H "Content-Type: application/json" \
-d '{
"storage": {
"destinationType": "s3",
"bucketName": "${var.s3_bucket}",
"region": "us-east-1"
},
"filter": {
"mediaTypes": ["whatsapp"]
},
"legal_hold": {
"enabled": true,
"case_id": "LH-2023-001",
"reason": "Discovery"
}
}'
EOT
}
}
make sure your s3_bucket variable has the correct write permissions for the genesys cloud service account. the 400 is purely a schema mismatch. if you are using a pipeline, validate the json string before the curl command. this approach keeps the config as code and avoids manual api calls. also check that the case_id matches your internal tracking format. the platform does not generate this id for you. it must exist in your external system.
Check your JMeter sampler configuration for the export endpoint. The legal_hold field must be a JSON object, not a boolean. The 400 error confirms schema validation failed. Ensure the payload structure matches the nested format provided earlier. This prevents API rejection during high-volume export runs.