Quick question about the reliability of Script Data Actions when passing nested JSON objects from a Genesys Cloud Architect flow to an external AppFoundry integration. We are currently deploying a multi-tenant premium application that relies heavily on real-time data enrichment via custom Data Actions. The integration handles complex customer profiles, resulting in payload sizes ranging from 15KB to 45KB. While small payloads process successfully with a 200 OK response, we are encountering intermittent 500 Internal Server Errors when the JSON structure contains deeply nested arrays or objects with more than 50 keys. The error occurs specifically at the POST /api/v2/architect/scripts/data-actions/{id}/invoke endpoint during the execution phase of the Architect flow. The request headers include the correct Authorization: Bearer token and Content-Type: application/json. The response body from Genesys Cloud is minimal, returning only {"code": 500, "message": "Internal server error", "status": 500} without any detailed stack trace or specific validation error codes. We have verified that the external endpoint is reachable and returns 200 OK when tested directly via Postman with identical payloads. The issue appears to be tied to the platform’s internal processing of the Data Action invocation rather than the external service failure. We are using the latest stable version of the Genesys Cloud API and have configured the Data Action timeout to 30 seconds. The problem is reproducible across different tenant orgs in the us-east-1 region. We suspect this might be related to how the platform serializes or validates large JSON payloads before forwarding them to the external webhook. Has anyone encountered similar issues with complex data structures in Script Data Actions? Are there known limitations on the depth or size of JSON objects passed through this mechanism? We are looking for best practices to handle large payloads or alternative methods for data enrichment that avoid these 500 errors. Any insights into the platform’s internal handling of these requests would be greatly appreciated.
The best way to fix this is… increase the timeout and check payload limits.
resource "genesyscloud_script" "main" {
flow {
action {
type = "DataAction"
settings {
timeout = 30000 # ms
}
}
}
}
Large JSONs often hit the default limit. Split the payload or compress it before sending.