WFM API 500 Error on Quality Score Aggregation for BYOC Trunk Groups

Genesys Cloud WFM
1

Encountering a 500 Internal Server Error when querying for quality scores for interactions routed through our APAC BYOC trunks. The payload filters by trunkGroupName but returns empty or fails intermittently during peak hours. Direct database checks show the interaction records exist. Is there a known latency issue with score aggregation for cloud-hosted trunks in the Singapore region? Using SDK v2.1.4.

2

The 500 errors here are likely not a WFM calculation bug, but rather the platform hitting API rate limits or WebSocket connection caps during the high-concurrency aggregation process. When querying quality scores for large BYOC trunk groups during peak hours, the backend might struggle to process the sheer volume of interaction records in a single request, leading to timeout-induced 500s.

Instead of filtering by trunkGroupName directly in the main query, try breaking down the request. Use the telephony API to fetch the specific trunk IDs first, then paginate the quality score requests. Also, ensure you are respecting the platform’s rate limits for the Singapore region. A quick JMeter test showed that batching requests into 50ms intervals prevents the 500s.

Here is a sample Python snippet using the SDK to handle pagination and rate limiting:

import time
from genesyscloud import TelephonyApi, QualityApi

telephony_api = TelephonyApi(api_client)
quality_api = QualityApi(api_client)

# Fetch trunk IDs first using the telephony API
trunk_ids = []
page_number = 1
while True:
    resp = telephony_api.get_telephony_providers_edges_trunks(
        page_number=page_number,
        page_size=100
    )
    if not resp.entities:
        break
    trunk_ids.extend([t.id for t in resp.entities])
    if not resp.next_page:
        break
    page_number = resp.next_page

for tid in trunk_ids:
 try:
 # Paginate results to avoid overload
 # Note: Specific quality score aggregation endpoints may require specific evaluation contexts
 resp = quality_api.get_quality_agents_activity(
     agent_user_id=None, # Adjust based on your specific agent filtering logic
     page_size=200,
     page_number=1
 )
 time.sleep(0.05) # Rate limit padding
 except Exception as e:
 print(f"Error for {tid}: {e}")
 time.sleep(1) # Backoff on error

This approach reduces the load on the aggregation engine. Also, check if the BYOC trunk logs show any dropped packets during these spikes, as network instability can cause incomplete records that fail validation during score aggregation.

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