Does anyone know the correct sequence for handling OAuth 2.0 token refreshes when migrating Zendesk ticket data via the Genesys Cloud API?
We are currently stuck in the data migration phase, specifically moving historical ticket notes and macro variables into Genesys Cloud Agent Scripting variables. In Zendesk, we relied on long-lived API tokens that rarely expired during batch jobs. Genesys Cloud seems to enforce stricter token lifecycles. Our Python script, which uses the genesys-cloud-python SDK version 3.1.2, starts successfully but fails after processing approximately 500 records.
The error returned is a 401 Unauthorized with the message: invalid_token: Token expired. We implemented a basic retry mechanism, but the refresh token itself seems to become invalid or the exchange endpoint (/oauth/token) returns a 400 Bad Request stating grant_type not supported if we try to refresh too frequently.
Is there a recommended pattern for handling token refreshes in batch migration scripts? In Zendesk, we just caught the 401 and regenerated the token once. Here, it feels like the token state is getting out of sync with the API session. We are using the Client Credentials Grant flow as recommended for server-to-server communication, but the documentation is vague on concurrency limits for token refreshes.
We are based in the Europe/Paris timezone, so our migration windows are during off-peak hours (02:00-06:00 CET), but the issue persists regardless of timing. We need a robust way to keep the session alive without hitting rate limits or invalidating the refresh token. Any advice on how to structure the retry logic or if there is a specific header we are missing would be appreciated. We want to ensure the migration is compliant with our security audit requirements, which mandate logging all authentication attempts.
Thank you for your help.