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.undeployModel

Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources it's using.

Endpoint

post


                https://{service-endpoint}/v1/{endpoint}:undeployModel

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

Path parameters

endpoint string

Required. The name of the Endpoint resource from which to undeploy a Model. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Request body

The request body contains data with the following structure:

Fields

deployedModelId string

Required. The id of the DeployedModel to be undeployed from the Endpoint.

trafficSplit map (key: string, value: integer)

If this field is provided, then the Endpoint's trafficSplit will be overwritten with it. If last DeployedModel is being undeployed from the Endpoint, the [Endpoint.traffic_split] will always end up empty when this call returns. A DeployedModel will be successfully undeployed only if it doesn't have any traffic assigned to it when this method executes, or if this field unassigns any traffic to it.

Response body

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