WebRTC recording export job timeout (504) for softphone interactions in EU-West

• Platform: Genesys Cloud (EU-West-1 region)
• Feature: Bulk Recording Export via API
• Channel: WebRTC Softphone (Voice)
• API Endpoint: POST /api/v2/architect/flows/export (triggering recording metadata fetch)
• SDK/Client: Python requests library, custom wrapper for bulk jobs
• Error: HTTP 504 Gateway Timeout after 120s
• Frequency: Intermittent, ~15% of jobs initiated during business hours (09:00-17:00 GMT)

The specific issue relates to bulk export jobs targeting WebRTC softphone interactions for legal discovery. While PSTN and SIP trunk recordings export successfully via the standard /api/v2/recording/bulk endpoint, jobs filtering for channel: webrtc frequently fail with a 504 Gateway Timeout. The job status remains IN_PROGRESS for exactly 120 seconds before the timeout occurs. No error code is returned in the final job status payload, only the timeout indication from the gateway layer.

Investigation into the request headers shows that the X-Genesys-Trace-Id is present, but correlating this with the internal logs (via support ticket #GCS-99281) reveals that the metadata aggregation service hangs when attempting to resolve the sessionId for WebRTC streams that were terminated abruptly (e.g., network drop). The chain of custody requirement for our legal team mandates that every interaction, including dropped calls, must have an associated metadata record for audit trails.

The current workaround involves splitting the export date range into 1-hour chunks, which reduces the timeout rate to <2%, but this is not sustainable for large-scale discovery requests involving millions of interactions. We have verified that the S3 destination permissions are correct and that the service account has recording:export and architect:read scopes. The problem seems isolated to the metadata resolution step for WebRTC sessions, not the audio file transfer itself, as the audio files are often available in S3 even if the bulk job fails.

Has anyone encountered this specific latency issue with WebRTC metadata aggregation during bulk exports? Is there a known limit on the number of WebRTC sessionId lookups that can be processed in a single bulk job request? We need a reliable method to export these records without manual chunking to maintain an unbroken audit trail for compliance.

• Review the Queue Activity metrics in the Performance dashboard before triggering bulk exports.
• High concurrent softphone usage often saturates the metadata fetch service, causing the 504 timeout.
• Schedule exports during off-peak hours (22:00-06:00 CET) to align with lower queue volumes.
• Verify agent performance stats to identify peak interaction windows and avoid those periods.

the suggestion above about off-peak hours is solid, but you’re likely hitting a hard limit on the metadata fetch service during peak EU-West traffic. the docs say “bulk export jobs are subject to rate limiting and may fail under high concurrency.”

try adding a retry loop with exponential backoff in your python wrapper. don’t just fire and forget.

import time
import requests

def retry_export(url, payload, max_retries=3):
 for attempt in range(max_retries):
 try:
 resp = requests.post(url, json=payload, timeout=30)
 if resp.status_code == 200:
 return resp.json()
 elif resp.status_code in [504, 503]:
 wait_time = 2 ** attempt
 time.sleep(wait_time)
 else:
 resp.raise_for_status()
 except requests.exceptions.RequestException as e:
 if attempt == max_retries - 1:
 raise e
 time.sleep(2 ** attempt)

also check if you’re fetching too many recordings in one go. chunking the date ranges helps.

this is caused by the metadata fetch service timing out before the electron main process can handshake with the webrtc engine. when you’re embedding the softphone, the getUserMedia stream needs to stay alive while the export job pulls the recording index. if the renderer process loses focus or the main process gets blocked by a heavy ui thread, the signaling fails.

you’re likely hitting a race condition between the python wrapper’s request and the local app’s state. the 504 isn’t just a server-side timeout; it’s a client-side drop. try forcing the electron app to keep the audio context active during the export window.

add this to your main process:

// keep audio context alive during export
const audioContext = new window.AudioContext();
audioContext.resume();

// prevent renderer from sleeping
app.setAppUserModelId('genesys-export-active');

also, check your webPreferences in the browser window. if nodeIntegration is off, the ipc channel might drop packets. ensure you’re using contextBridge correctly.

const win = new BrowserWindow({
 webPreferences: {
 contextIsolation: true,
 preload: path.join(__dirname, 'preload.js')
 }
});

the python script is fine, but the local electron app needs to signal readiness to the genesys sdk before the export job starts. if the sdk thinks the agent is offline, it drops the metadata fetch.

check the callStatus in your local state. if it’s idle but the export job expects active, you get a 504. force a status update before triggering the export.

genesysClient.setPresence('available');
await genesysClient.waitForReady();

this usually fixes the intermittent failures. the issue is rarely the api itself, but the local app’s state management. if you’re still seeing timeouts, look at the network tab in electron dev tools. you’ll see the webrtc candidates dropping right before the 504.

it’s a tricky race condition.

It depends, but generally… you’re hitting the metadata_fetch timeout because the recording_id isn’t fully indexed yet. check the status on the job first before polling for the export url, otherwise you’ll just burn through your rate limits.