Running into a weird clock skew issue with our OpenTelemetry instrumentation for Genesys Cloud Data Actions. We have a Python script handling token refreshes for our internal service account, which feeds into Architect HTTP Data Actions. The OTel spans in Jaeger clearly show the access_token being refreshed and attached to the context with an exp timestamp of 1715623940. The server time on our Manila EC2 instances is synced via NTP, but the Genesys Cloud API is rejecting the request with a 401 Unauthorized immediately after the refresh.
Here’s the weird part: the token is technically valid for another hour. The error response body says {"status":401,"message":"Unauthorized","errors":["Invalid or expired token"]}. I checked the iat (issued at) and exp (expires at) claims in the decoded JWT, and the math checks out. The span propagation is working fine for the outgoing HTTP call, but GC seems to think the token is expired based on their server clock. Is there a known window where GC rejects tokens if the iat is too close to their current time, even if exp is far off? My refresh logic looks like this:
import requests
from opentelemetry import trace
span = trace.get_current_span()
span.set_attribute("gc.auth.refresh", True)
token = oauth_client.refresh_token(refresh_token)
headers = {"Authorization": f"Bearer {token['access_token']}"}
response = requests.post(gc_api_url, headers=headers, json=payload)
The 401 happens consistently on the first call after refresh. Subsequent calls with the same token work fine for 55 minutes. It feels like GC’s server clock is ahead of ours by a few minutes, causing the iat validation to fail or something similar. We’re using the standard Python requests library, not the Genesys SDK, so I’m handling the headers manually. Anyone else hit this with high-frequency Data Actions?