Try Gemini 1.5 models , the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window. Try Gemini 1.5 models , the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.

Method: projects.locations.notebookRuntimeTemplates.setIamPolicy

Sets the access control policy on the specified resource. Replaces any existing policy.

Can return NOT_FOUND , INVALID_ARGUMENT , and PERMISSION_DENIED errors.

Endpoint

post https://{service-endpoint}/v1beta1/{resource}:setIamPolicy

Where {service-endpoint} is one of the supported service endpoints .

Path parameters

resource string

REQUIRED: The resource for which the policy is being specified. See Resource names for the appropriate value for this field.

Request body

The request body contains data with the following structure:

Fields

policy

object (  Policy 
 
)

REQUIRED: The complete policy to be applied to the resource . The size of the policy is limited to a few 10s of KB. An empty policy is a valid policy but certain Google Cloud services (such as Projects) might reject them.

Response body

If successful, the response body contains an instance of Policy .