Hey everyone, I’ve run into a really strange issue with screen recording configuration during automated environment promotion.
The pipeline uses terraform-provider-genesyscloud v2.2.4 to manage recording settings. Applying changes to genesyscloud_recording resource triggers a 400 Bad Request. The API expects specific metadata keys for screen capture, but the schema validation fails silently in the CLI output until the apply phase.
module.analytics.genesyscloud_recording.screen_rec:
Error: 400 Bad Request: {"message":"Invalid configuration for screen recording. Missing required property 'captureInterval'."}
The HCL block defines capture_interval as 500ms. Verified via genesyscloud CLI that the endpoint /api/v2/recordings accepts this payload manually. Issue only appears in IaC. Suspect a serialization mismatch between Terraform state and the expected JSON schema for the new screen recording feature. Environment is US-East-1. Terraform version 1.5.7. No changes to network or IAM roles. Anyone else hitting this with the latest provider release?
Have you tried isolating the metadata payload in a standalone API call before committing it to the Terraform state? The terraform-provider-genesyscloud v2.2.4 is known to strip nested JSON objects during the plan phase if they don’t match the strict schema defined in the provider’s Go source code. When pushing screen recording metadata, the API expects the metadata block to be flattened or explicitly typed as a string, not a complex object map.
In our JMeter load tests, we saw similar 400 errors when the WebSocket connection pool was saturated, but this looks like a serialization issue. The provider often fails to handle the screen_capture_enabled flag correctly when combined with custom metadata_keys.
Try restructuring the resource block to use the json_encode function for the metadata section. This bypasses the provider’s internal schema validation quirks.
resource "genesyscloud_recording" "screen_capture" {
name = "Screen Capture Rule"
description = "Automated screen recording"
# Flatten the metadata to avoid schema mismatch
metadata = jsonencode({
source = "screen"
retention_days = 30
legal_hold = false
})
# Ensure the type is explicitly set
recording_type = "screen"
depends_on = [genesyscloud_recording_retention_policy.main]
}
Also, check if the api_version header in your backend configuration is locked to v1. The newer v2 endpoints have stricter validation on the metadata injection logic. If the Terraform provider is still calling the legacy endpoint, it might reject the new metadata structure.
We usually see this when the load pattern spikes during environment promotion, causing the API gateway to drop malformed requests without detailed error logs. Verify the request_id in the Genesys Cloud logs to confirm if it’s a validation error or a rate-limiting drop disguised as a 400.