Tried using the databricks-sdk instead and just get an error on a different parameter -

"DatabricksError: Exactly 1 of virtual_cluster_size, num_workers or autoscale must be specified."

But, as you can see below, it definitely has "num_workers". And again, that JSON is literally pulled from the API docs....

```

cluster_spec={

"cluster_name": "single-node-cluster",

"node_type_id": "i3.xlarge",

"spark_version": "7.6.x-scala2.12",

"num_workers": 0,

"custom_tags": {

"ResourceClass": "SingleNode"

},

"spark_conf": {

"spark.databricks.cluster.profile": "singleNode",

"spark.master": "[*, 4]"

}

}

from databricks.sdk import WorkspaceClient

import json

dbrix_environment = 'production'

dbrix_host = f"https://XXXXXX-{dbrix_environment}.cloud.databricks.com"

dbrix_token = dbutils.secrets.get(scope = 'funstuff', key = 'choo-choo')

w = WorkspaceClient(

host = dbrix_host,

token = dbrix_token

)

w.clusters.create(json.dumps(cluster_spec))

```