- Python 3.11.4
- Genesys Cloud Platform SDK v2.0.150
- GitHub Actions
actions/setup-python@v4 - Linux runner (ubuntu-latest)
- OAuth2 Client Credentials Flow
requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: https://api.mypurecloud.com/api/v2/users
Response: {"errors":[{"code":"invalid_token","message":"The access token provided is invalid or expired."}]}
I am trying to automate user provisioning and flow deployment via a CI/CD pipeline using a service account. The current implementation fetches a new OAuth2 token at the start of the job using the client credentials flow. The token works fine for the first few API calls, but subsequent calls in the same job fail with a 401 Unauthorized error after approximately 3600 seconds. The SDK’s automatic token refresh is not triggering, or is triggering too late, causing the pipeline to fail mid-execution. I need a way to generate a long-lived token or handle the refresh mechanism correctly within the unattended CI/CD environment. Using the standard genesyscloud.platform_client with client_id and client_secret results in short-lived tokens. I have tried setting the refresh_token parameter, but the client credentials flow does not return a refresh token, only an access token with a fixed expiry. Is there a specific endpoint or SDK method to extend the token lifetime for service accounts, or should I be implementing a manual refresh loop in the Python script? The documentation suggests using the genesyscloud.platform_client but does not clarify how to handle token expiry in headless environments. I need a reliable solution that does not require storing long-lived secrets or manually rotating tokens every hour. The pipeline runs for 45 minutes, so the token expires before completion. How do I configure the SDK or the OAuth request to avoid this? I have verified the service account has the necessary scopes, so this is purely an authentication lifecycle issue. I want to avoid using the interactive authorization code flow as it is not suitable for CI/CD. Any code examples for handling token refresh in Python for this specific use case would be appreciated. I am currently stuck and have to restart the pipeline manually every time it hits the expiry limit, which is inefficient. The error logs show the token was issued at iat and expired at exp, but the SDK does not seem to be checking the exp claim before making requests. Is there a workaround or a best practice for this scenario?