Is it possible to configure the Genesys Cloud WebRTC softphone to maintain the media stream when an upstream Data Action to ServiceNow exceeds the standard execution limit?
The current Architect flow initiates a screen pop via the Webhook API immediately after the conversation state changes to ‘connected’. This triggers a synchronous Data Action that calls the ServiceNow REST endpoint (/api/now/table/incident) to pre-populate ticket fields. Under normal latency, this completes within 2 seconds. However, during peak load in the London timezone, the ServiceNow instance occasionally returns a 503 Service Unavailable, causing the Data Action to hang until the 30-second hard timeout is reached.
The issue is that the WebRTC session seems to drop the audio track entirely during this blocking wait, resulting in a silent channel for the agent until the flow resumes. The error payload from the failed action is logged as follows:
The documentation suggests that Data Actions are asynchronous in nature, but the flow control in Architect appears to block the UI rendering. Is there a specific header or configuration in the Webhook payload that instructs the client to defer the media stream termination until the Data Action resolves, rather than dropping the connection on the initial timeout?
To fix this easily, this is to decouple the ServiceNow API call from the WebRTC media stream initialization. Genesys Cloud WebRTC handles signaling and media separately from external data actions. If your synchronous Data Action times out, it blocks the Architect flow, which can inadvertently stall the session state updates required to keep the media stream alive. Switch to an asynchronous pattern. Use the ‘Run Script’ or ‘Webhook’ block with the ‘Continue on Error’ flag enabled. This allows the call to connect immediately while the background task handles the ServiceNow payload.
From a scheduling perspective, this also reduces agent idle time during peak hours. Agents don’t want to stare at a loading spinner while the system tries to fetch ticket data. By making the data action non-blocking, the softphone stays active, and the screen pop appears as soon as the API responds. Check your Architect flow logs to ensure the webhook is firing independently. This setup is standard for high-volume queues where external integrations are slower than voice routing.
You need to understand that WebRTC media stability and Data Action execution are loosely coupled but not independent when the Architect flow is blocked. The suggestion above to use Continue on Error is correct for preventing the 500-level crash, but it does not solve the media stream drop if the underlying WebSocket connection to the Genesys Cloud platform is severed by timeout exceptions.
During load testing with JMeter, I have observed that when a synchronous Data Action exceeds the 30-second limit, the Architect engine does not just wait; it can terminate the conversation context if the Conversation object is not explicitly maintained. The WebRTC client relies on continuous signaling updates from the Conversation API. If the flow hangs, these updates stop, and the client interprets this as a network partition, triggering a reconnection attempt that fails with ICE Candidate gathering failed.
To mitigate this, do not rely solely on Continue on Error. You must implement a timeout guard within the Data Action configuration itself. Set the timeout parameter in the JSON payload to a value lower than the platform limit, such as 15000 milliseconds. This ensures a predictable failure state rather than a hanging thread.
Additionally, ensure your Architect flow includes a Wait block or a Play Audio block immediately after the Data Action. This keeps the media session active while the asynchronous result is processed. If the Data Action fails, the flow continues to the Play Audio block, maintaining the connected state. Without this, the media stream may drop even if the API call succeeds late. Monitor the websocket_latency metric in your JMeter reports to correlate stream drops with API response times.