Just noticed that our custom WFM integration is failing to retrieve screen recording URLs for agents engaged in shift swaps.
Background
We use the Screen Recording API to audit compliance during handovers.
Issue
GET /api/v2/recordings/screen returns 500 Internal Server Error specifically for agents in the America/Chicago timezone between 14:00-16:00 CST. Other agents return 200 OK.
Troubleshooting
Verified JWT scopes include recording:view. The issue correlates with high WFM API load. Is there a known dependency failure?
Yep, this is a known issue… The screen recording endpoint lacks proper pagination handling for high-concurrency queries. Try adding pageSize=100 and iterating through nextPageUri instead of fetching all records at once.
Yep, this is a known issue with high-concurrency queries hitting the screen recording endpoint during peak transition windows. The pagination fix mentioned above helps, but it doesn’t address the underlying thread saturation if your WFM integration fires requests synchronously. When agents in America/Chicago swap shifts, the system often triggers a burst of metadata updates. If your integration waits for each response before sending the next, you create a request queue bottleneck that manifests as 500 errors. This isn’t just about page size; it’s about how the load is distributed across the available API capacity. The platform has hard limits on simultaneous WebSocket connections and HTTP requests per tenant, and a sudden spike from 50+ agents can easily exceed those thresholds if not throttled correctly.
To mitigate this, implement a staggered request pattern in your integration logic. Instead of iterating through all agents immediately, introduce a random delay between 100ms and 500ms for each API call. This smooths out the spike and prevents the server from rejecting requests due to temporary overload. You can also monitor the Retry-After header in 429 responses to dynamically adjust your pacing. Here is a simple Python snippet using time.sleep() to add jitter:
import time
import random
def fetch_recordings(agent_list):
for agent in agent_list:
# Add random jitter to avoid thundering herd
delay = random.uniform(0.1, 0.5)
time.sleep(delay)
response = api_client.get_screen_recording(agent.id)
if response.status_code == 500:
# Implement exponential backoff here
handle_error(agent.id)
This approach ensures that even during heavy shift swaps, the request volume stays within the safe concurrency limits. It’s a small change but makes a huge difference in stability during those critical 14:00-16:00 CST windows.