Platform SDK Python: Automatic token refresh not triggering in background thread

General Discussion
1

I’m curious as to why the Genesys Cloud Python Platform SDK fails to automatically refresh an expired access token when the client instance is reused from a long-running background thread? I am building a sentiment analysis pipeline that polls the transcript API every 60 seconds. The initial authentication uses PureCloudPlatformClientV2(client_id, client_secret) with OAuth client credentials. According to the documentation, the SDK should handle token lifecycle management internally. However, after approximately 35 minutes, subsequent calls to analytics_api.get_analytics_interactions_export() return a 401 Unauthorized error, indicating the token has expired without being refreshed. I have verified that the refresh_token logic in the underlying requests session is not being invoked. The code initializes the client once at startup and stores it in a module-level variable.

I suspect the issue relates to how the SDK manages the expiration timestamp or threading context. My current implementation looks like this:

from purecloud_platform_client import Configuration, PureCloudPlatformClientV2
import time

config = Configuration(
 host='https://api.mypurecloud.com',
 client_id='my_client_id',
 client_secret='my_client_secret'
)
client = PureCloudPlatformClientV2(config)

while True:
 try:
 # This call eventually fails with 401
 api_response = client.analytics_api.get_analytics_interactions_export(
 body={'query': {...}}
 )
 except Exception as e:
 print(f"Error: {e}")
 time.sleep(60)

The SDK version is 1.14.0. I have checked the network traffic, and no POST requests to /oauth/token are made after the initial login. Is there a specific configuration flag I am missing to enable automatic refresh, or does the SDK require manual intervention for client credentials flow in long-lived processes?

2

If I recall correctly, the Python SDK’s background refresh relies on platformClient.login_flow. In long-running threads, ensure auto_refresh=True is explicit. I prefer using Pulumi to inject fresh tokens via environment variables in CI/CD, avoiding thread-local state issues entirely. Check platformClient.auth_config.refresh_token_url.

3

this looks like a threading issue with the sdk’s internal auth manager. the default refresh logic isn’t thread-safe when sharing a single client instance across multiple background workers. instead of relying on auto_refresh, implement a custom token provider that handles the http request manually. this avoids race conditions where two threads try to refresh simultaneously. here is a robust pattern using the requests library directly for the token fetch, then injecting it into the sdk client. this ensures the token is fresh before every api call without blocking the main thread or causing 401 errors due to stale tokens.

import requests
from genesyscloud.platform_client_v2 import PlatformClient

def get_fresh_token():
 url = "https://login.mypurecloud.com/oauth/token"
 data = {"grant_type": "client_credentials", "scope": "admin"}
 headers = {"Content-Type": "application/x-www-form-urlencoded"}
 # replace with actual credentials
 auth = ("your_client_id", "your_client_secret")
 res = requests.post(url, data=data, headers=headers, auth=auth)
 return res.json()["access_token"]

pc = PlatformClient()
pc.set_access_token(get_fresh_token())
# use pc for api calls