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.extensions.delete

Deletes an Extension.

Endpoint

delete


                https://{service-endpoint}/v1beta1/{name}

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

Path parameters

name string

Required. The name of the Extension resource to be deleted. Format: projects/{project}/locations/{location}/extensions/{extension}

Request body

The request body must be empty.

Example request

Python

import vertexai
from vertexai.preview import extensions

# TODO(developer): Update and un-comment below lines
# project_id = "PROJECT_ID"
# extension_id = "EXTENSION_ID"

vertexai.init(project=project_id, location="us-central1")

extension = extensions.Extension(extension_id)
extension.delete()gemini_extensions.py

Response body

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