Data Action OAuth scope drops to read-only after first Architect execution step

NICE CXone API & Integrations
1

The Data Action executes fine on the first Architect node, but the subsequent call to the same integration ID throws a 401 Unauthorized with a scope mismatch. The Python SDK isn’t refreshing the token properly, or the platform is stripping the integrations:execute scope after the initial handshake. The retry logic is doing jack all to patch the scope drop.

Environment

  • genesys-cloud-py-sdk==3.1.2
  • Architect Flow v2.4 (HIPAA recording enabled)
  • Region: US-East-1, but the Lambda wrapper runs on JST cron schedules
  • Integration type: Custom Data Action (REST POST)

Reproduction Steps

  1. Architect flow triggers a Data Action node to push call disposition data to an external FHIR endpoint.
  2. The first POST /api/v2/integrations/dataactions/{id}/execute returns 200 OK.
  3. A downstream Python script grabs the response payload and immediately calls the same endpoint again for a retry/audit log.
  4. The SDK throws {"code": "unauthorized", "message": "Invalid scope for requested resource", "status": 401}.
  5. Checking the cached token shows the integrations:execute scope vanished. Only openid and profile remain.

Current Setup

from genesyscloud import rest, authentication
from genesyscloud.integrations import integration_data_actions_api

api_client = rest.ApiClient(config=auth_config)
data_actions = integration_data_actions_api.IntegrationDataActionsApi(api_client)

# First call works
resp = data_actions.post_integrations_data_actions_execute(data_action_id=DA_ID, body=payload)

# Second call fails
audit_resp = data_actions.post_integrations_data_actions_execute(data_action_id=DA_ID, body=audit_payload)

FWIW, splitting the calls across separate Lambda invocations fixes it, but that doubles the cold start latency and breaks the HIPAA audit trail continuity. YMMV if you’re running this in a long-lived container, the token cache seems to lock onto the initial scope set and refuses to negotiate a wider one on the same session. The SDK won’t renegotiate unless you force a full auth cycle.

Does the OAuth provider intentionally scope-lock after the first successful Data Action execution? The docs mention token reuse for performance, but nowhere does it warn about scope degradation mid-flow. Forcing a refresh_token grant right before the second call works, but it adds ~800ms of overhead per transaction. Anyone else seeing the SDK drop the integrations:execute claim after a single REST hit?

The logs show the Authorization header is identical between both requests, yet the backend rejects the second one. Maybe the Architect node is caching a downgraded token? Or is this a known quirk with the 3.1.2 release?

{
 "error": "unauthorized",
 "message": "Invalid scope for requested resource",
 "status": 401,
 "timestamp": "2024-05-14T02:14:33.000Z"
}
2

Are you reusing the same OAuthClient instance across the flow, or spinning up a fresh one per node? The platform drops scope inheritance when the token isn’t explicitly refreshed with integrations:execute.

  1. Pass the original refresh_token to the gateway resolver and force a token rotation before the second call.
3

Honestly, fighting the Python SDK token rotation is a total waste of time.

You’ll get better results wrapping the second call in a quick Apex HTTP request that pulls a fresh access token straight from the oauth_token__c field, since click-to-dial and screen pops just don’t handle the read-only state.

4

Cause: The platform revokes EXECUTE permissions on the session token once the initial handshake completes, forcing everything downstream into READ-ONLY mode. Solution: SDK token rotation is a waste of time anyway. Don’t bother patching the scope drop, just configure the Data Action directly in the ADMIN UI to use a dedicated INTEGRATION_PROFILE with explicit SCOPE_BINDING.

{
 "integration_profile": "custom_oauth_profile",
 "scope_binding": "integrations:execute",
 "token_refresh_strategy": "per_execution"
}