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.endpoints.patch

Updates an Endpoint.

Endpoint

patch


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

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

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

Path parameters

endpoint.name string

Output only. The resource name of the Endpoint.

Query parameters

updateMask string (FieldMask format)

Required. The update mask applies to the resource. See google.protobuf.FieldMask.

This is a comma-separated list of fully qualified names of fields. Example: "user.displayName,photo".

Request body

The request body contains an instance of Endpoint.

Response body

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