Quick question about the timeout behavior when chaining Data Actions in Architect for BYOC trunk metadata enrichment. We are running Genesys Cloud v2.63 in the Asia/Singapore region. The setup involves a standard inbound flow that triggers a Data Action to fetch carrier-specific latency metrics from an internal REST API. The API responds within 200ms, but the Data Action node consistently throws a 408 Request Timeout error after exactly 5 seconds, even though the HTTP response code is 200.
The issue appears only when the target carrier is one of our 15 BYOC trunks with high concurrent call volume. The request payload includes the SIP URI and trunk ID. We verified the network path and there are no firewall drops. The Data Action configuration uses the default retry policy. Is there a hidden rate limit or thread pool exhaustion issue on the Genesys Cloud side when processing bulk metadata lookups for BYOC trunks? We need this data for real-time routing decisions. Any insights into the internal processing queue depth or specific API endpoint limitations would be appreciated.
Thanks for the help.
{
“url”: “{{trigger.payload.conversation_id}}”,
“method”: “GET”,
“headers”: {
“Authorization”: “Bearer {{integration.auth.token}}”,
“Content-Type”: “application/json”
},
“timeout”: 3000
}
The documentation actually says that the default timeout for a Data Action is 5000ms. If your internal REST API takes slightly longer than that, even if the network latency is low, the Genesys Cloud platform will kill the request before the response body is fully processed. This often results in a 408 error on the Data Action node, despite the backend returning a 200 OK status code.
Adjust the `timeout` property in the Data Action configuration to a higher value, such as 3000ms or 10000ms, depending on your SLA requirements. Also, ensure the integration uses OAuth 2.0 with a valid refresh token, as expired tokens can cause silent failures that mimic timeout behavior. Check the Genesys Cloud logs for `HTTP_408` entries to confirm the drop-off point.
you need to bump the timeout in the data action config. default is 5s but you can push it higher. just change “timeout”: 3000 to something like 10000 in the json.
Be careful with that approach. Pushing the timeout to 10s just masks the underlying performance issue and will likely cause schedule adherence violations for agents waiting on hold. Check if the internal API supports async callbacks instead of blocking the flow.