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

Hi all,

I’m hitting a scope mismatch issue with the Python SDK when executing Data Actions. The first call works fine, but the subsequent call to the same integration ID throws a 401 Unauthorized. It appears the 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/actions/{actionId}/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_actions_api

api_client = rest.ApiClient(config=auth_config)
actions = integration_actions_api.IntegrationActionsApi(api_client)

# First call works
resp = actions.post_integrations_actions_execute(action_id=DA_ID, body=payload)

# Second call fails
audit_resp = actions.post_integrations_actions_execute(action_id=DA_ID, body=audit_payload)

Observations & Workarounds

FWIW, splitting the calls across separate Lambda invocations fixes the issue, 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.

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"
}

Questions

• 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. Is there a better way to handle this?
• Anyone else seeing the SDK drop the integrations:execute claim after a single REST hit?

Thanks in advance for any insights!

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.

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.

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"
}