Dealing with a very strange bug here with the Workforce Management Adherence API when querying agents who are exclusively assigned to our Singapore-based BYOC trunks. The issue manifests specifically when the adherence interval spans across the Asia/Singapore timezone boundary during peak call volume hours.
When calling the GET /api/v2/wfm/schedules/agents/adherences endpoint with a filter for status: logged-in and type: agent, the response payload throws a 500 Internal Server Error for approximately 15% of the requests. The error is not consistent; it seems to correlate with agents who have active SIP registrations on our custom carrier trunks rather than the default Genesys Cloud PSTN trunks. The error body is minimal, returning only a generic service unavailable message without a specific error code or trace ID, which makes debugging on the client side extremely difficult.
I have verified that the SIP registration state is stable via the GET /api/v2/architect/flows endpoint and the SBC logs show no registration failures or 408 timeouts during these intervals. The agents appear as ‘Available’ in the WFM dashboard, but the API call fails intermittently. This discrepancy suggests a potential race condition between the WFM adherence calculation engine and the real-time trunk status update service.
Has anyone encountered similar latency or failure rates when querying adherence data for agents routed through BYOC trunks in the APAC region? I am currently using the Genesys Cloud SDK version 4.2.1 for Python. The issue persists even after clearing the local cache and retrying with exponential backoff. The lack of detailed error logging is the primary blocker here, as I cannot determine if this is a timeout issue on the backend or a serialization error when merging trunk-specific metadata with WFM records.
Any insights into whether this is a known limitation with BYOC trunk integration in WFM reporting, or if there is a specific header or parameter I need to adjust to stabilize the API response?
The APAC BYOC edge often desynchronizes adherence state during peak load. The WFM engine fails to reconcile trunk-bound agent status when the interval crosses timezone boundaries.
Check if the Data Action webhook for status updates is timing out before the SIP INVITE completes. This leaves the agent in a limbo state that the API cannot resolve.
Adjust the Data Action timeout or implement a retry mechanism. Ensure the ServiceNow ticket creation triggers only after the adherence state is fully committed to the WFM cache.
Ah, yeah, this is a known issue when migrating Zendesk’s rigid shift models to Genesys Cloud’s flexible WFM. The APAC timezone boundary often triggers a state mismatch that the API cannot resolve during peak loads.
You need to bypass the high-level adherence endpoint if the BYOC trunk state is unstable. The /api/v2/wfm/schedules/agents/adherences call aggregates too much logic before returning, causing 500 errors when the WFM engine cannot reconcile the SIP status during peak load. Instead, query the raw interaction data or the lower-level status history to reconstruct adherence manually. This avoids the aggregation bottleneck.
Use PureCloudPlatformClientV2.AnalyticsApi.post_analytics_interactions_get() with a custom filter. Set the timePeriod to the exact interval and filter by divisionId matching your Singapore BYOC trunk. This returns raw JSON which you can parse into a pandas DataFrame for analysis.
from purecloudplatformclientv2 import AnalyticsApi, GetInteractionsRequest
body = GetInteractionsRequest(
time_period="2023-10-27T09:00:00Z,2023-10-27T10:00:00Z",
division_id="your_division_id",
filter=["queue_id:your_queue", "status:inbound"]
)
result = analytics_api.post_analytics_interactions_get(body=body)
This approach sidesteps the WFM aggregation layer entirely. You retain full control over data transformation in Python, ensuring no 500 errors from backend reconciliation failures. Verify the divisionId matches the trunk assignment to ensure accurate filtering.