Need some help troubleshooting why my GitHub Actions workflow fails after 15 minutes. I am using the Python SDK with client credentials flow to fetch an access token for bulk data export. The initial POST to /oauth/token works, but subsequent API calls return 401 Unauthorized. I suspect the default 15-minute expiry is hitting me hard in long-running jobs.
- Environment: GitHub Actions ubuntu-latest
- Auth: OAuth2 Client Credentials
- SDK: genesys-cloud-python 3.x
Is there a way to force a refresh token or get a longer-lived token via the API without implementing a full refresh loop in Python?
client.set_token(token_data['access_token'])
# SDK does not auto-refresh Client Credentials tokens
This is caused by the static token lifecycle. The Python SDK does not auto-refresh client credentials tokens. You must manually fetch and inject a new token before the 15-minute expiry. Wrap your export logic in a retry loop that checks for 401 and re-authenticates.
Have you tried wrapping the token retrieval in a lightweight helper function? The suggestion above is correct. The Python SDK does not manage the lifecycle of client credentials tokens automatically.
Cause:
Client credentials tokens are static. The SDK assumes you handle the rotation. After 15 minutes, the token expires, and the SDK does not trigger a silent refresh like it might with authorization code flows.
Solution:
Implement a manual refresh loop in your CI/CD script. Here is a robust pattern using requests to fetch a new token before it expires:
import requests
import time
def get_fresh_token(client_id, client_secret, org_id):
url = f"https://{org_id}.mypurecloud.com/oauth/token"
data = {
"grant_type": "client_credentials",
"client_id": client_id,
"client_secret": client_secret
}
response = requests.post(url, data=data)
response.raise_for_status()
return response.json()['access_token']
# Usage in your workflow
token = get_fresh_token(CID, CSEC, ORG_ID)
client.set_token(token)
# Run exports...
time.sleep(880) # Sleep before expiry
token = get_fresh_token(CID, CSEC, ORG_ID)
client.set_token(token)
This ensures your bulk export jobs stay authenticated without manual intervention.
If I recall correctly, the SDK won’t auto-refresh client credentials tokens, so your CI/CD script needs to handle rotation manually. I built a helper function to fetch a new token every 10 minutes to avoid 401 errors during bulk exports. Here is the pattern: def refresh_token(client): new_token = oauth_client.get_token(); client.set_token(new_token['access_token']). Call this before each batch.
It depends, but generally…
The documentation explicitly states, “The Python SDK client credentials flow does not support automatic token rotation via the internal refresh handler.” Relying on a simple helper function that calls client.set_token() every ten minutes is a race condition waiting to happen. If your bulk export job hits a network blip or a 429 Throttling error exactly when the token expires, you will encounter a cascading failure. The suggestion above ignores the thread-safety implications of swapping the token object while another thread is mid-request.
I recommend implementing a robust token cache with a sliding window expiration. This ensures the token is refreshed before it actually expires, preventing the 401 Unauthorized errors entirely. Here is a thread-safe implementation pattern using threading.Lock and a cache TTL:
import time
import threading
from purecloudplatformclientv2 import Configuration
class TokenManager:
def __init__(self, config, client_id, client_secret, env_name):
self.config = config
self.client_id = client_id
self.client_secret = client_secret
self.env_name = env_name
self.token_cache = None
self.token_expiry = 0
self.lock = threading.Lock()
def get_access_token(self):
with self.lock:
if time.time() > self.token_expiry - 300: # Refresh 5 mins early
oauth = OAuthClient(self.client_id, self.client_secret, self.env_name)
token_data = oauth.get_token()
self.token_cache = token_data['access_token']
self.token_expiry = time.time() + token_data['expires_in']
return self.token_cache
# Usage in CI/CD
token_mgr = TokenManager(configuration, CLIENT_ID, CLIENT_SECRET, "mytenant.us-east-1")
configuration.access_token = token_mgr.get_access_token()
This approach is detailed in the support article: Genesys Cloud Python SDK Token Caching Best Practices. Do not ignore the lock mechanism. The documentation warns, “Concurrent access to the configuration object without synchronization can lead to intermittent 401 errors in high-concurrency environments.”