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.deploymentResourcePools.patch

Update a DeploymentResourcePool.

Endpoint

patch


                https://{service-endpoint}/v1/{deploymentResourcePool.name}

PATCH https://{service-endpoint}/v1/{deploymentResourcePool.name}

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

Path parameters

deploymentResourcePool.name string

Immutable. The resource name of the DeploymentResourcePool. Format: projects/{project}/locations/{location}/deploymentResourcePools/{deploymentResourcePool}

Query parameters

updateMask string (FieldMask format)

Required. The list of fields to update.

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 DeploymentResourcePool.

Response body

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