Problem

The identity gateway keeps rejecting our schema extension payloads right after the webhook callbacks fire for HR alignment. Extension latency spikes to over 800ms before the atomic POST actually hits the endpoint. The attribute adoption rate drops completely when the mutability directives clash with the existing attribute definition matrix. Something is triggering an automatic attribute index trigger on every request. Unexpected behavior. Don’t know why the format verification fails mid-flight.

Code

from genesyscloud_platformclient import ScimApi

scim = ScimApi()
ext_payload = {
 "schemas": ["urn:ietf:params:scim:schemas:extension:genesys:2.0:User"],
 "id": "ext_hr_sync_01",
 "attributes": [
 {"name": "cost_center", "type": "string", "mutability": "readOnly", "required": False}
 ]
}
response = scim.post_resource_schemas(extension=ext_payload)

Error

HTTP 422 Unprocessable Entity

{
 "errors": [
 "Attribute 'cost_center' violates identity gateway constraints. Maximum extension count limit reached for schema urn:ietf:params:scim:schemas:extension:genesys:2.0:User. Schema bloat failure detected."
 ]
}

Question

The type compatibility checking pipeline seems to ignore the cross-reference verification when we push via the SDK. We’ve tried stripping the extension audit logs to reduce payload size, but the 422 persists. How should we adjust the Python SDK client configuration to bypass the automatic attribute index triggers during safe extension iteration? The schema extender script keeps hanging.

HTTP 422 Unprocessable Entity: mutability directive mismatch. It’s almost certainly your token missing user:write, which forces the SDK to send a read-only schema that clashes with the extension.

client = platformClient.init()
client.set_access_token("your_token_with_user_write_scope")

Check the scopes.