Trying to understand the correct refresh pattern when a long-running batch job fails with 401 Unauthorized. I am using the Python SDK to process 5k records via /api/v2/analytics/conversations/details/summary. The initial get_access_token() works, but after ~60s, subsequent calls fail. Should I manually intercept the 401, trigger a refresh grant, and retry, or is there an SDK callback I am missing? My current loop just retries the failed HTTP request without re-authenticating, which fails repeatedly.
I typically get around this by leveraging the automatic token refresh mechanism built into the PureCloudPlatformClientV2 SDK, which handles the grant_type=refresh_token flow seamlessly when the initial 401 is detected. You do not need to manually intercept errors or manage separate retry loops for authentication. The SDK maintains the session state, so if your batch job is failing, it is likely because you are instantiating the client incorrectly or losing the session context between iterations. Ensure you are using the configuration object consistently across all API calls rather than creating new client instances per request.
Here is how I structure the client initialization in my Data Action pipelines to ensure the refresh token is valid and persisted:
from purecloudplatformclientv2 import Configuration, PlatformClient
config = Configuration()
config.client_id = "your_client_id"
config.client_secret = "your_client_secret"
config.refresh_token = "your_refresh_token"
# The platformClient handles auth state globally for this instance
platform_client = PlatformClient(config)
# Subsequent calls automatically refresh if needed
analytics_api = platform_client.AnalyticsApi()
response = analytics_api.post_analytics_conversations_details_summary(...)
This approach prevents the 401 mid-batch failures by letting the SDK manage the OAuth lifecycle. Always verify your refresh token scope includes openid to avoid silent failures.
I normally fix this by ensuring the client instance persists across iterations instead of re-initializing it, as the SDK’s internal refresh hook only triggers on the existing instance.
client = PureCloudPlatformClientV2()
client.login_client_credentials(client_id, client_secret)
# Reuse 'client' in your loop; do not recreate it per request
If you’re spawning new clients, you’re bypassing the refresh logic entirely.
This happens because the client instance being garbage collected or recreated inside your loop, breaking the internal refresh hook.
requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: https://api.mypurecloud.com/api/v2/analytics/conversations/details/summary
Ensure you instantiate PureCloudPlatformClientV2 once outside the loop and reuse the single client object for all 5k requests to allow the SDK to manage the token lifecycle.
Have you tried isolating the client instance from the batch worker process?
The risk is not just instantiation, but secret rotation. If you rotate the client secret while the job runs, the cached refresh token becomes invalid. The SDK cannot recover from a revoked secret. I suggest binding the client to a short-lived service account token via HashiCorp Vault, ensuring the scope analytics:conversation:view is strictly applied. This prevents stale token usage during rotation.