Try Gemini 1.5 models, our newest multimodal models in Vertex AI, and see what you can build with a 1M token context window.Try Gemini 1.5 models, our newest multimodal models in Vertex AI, and see what you can build with a 1M token context window.
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Resource: Environment
Definition of a software environment that is used to start a notebook instance.
JSON representation
{"name": string,"displayName": string,"description": string,"postStartupScript": string,"createTime": string,// Union field image_type can be only one of the following:"vmImage": {object (VmImage)},"containerImage": {object (ContainerImage)}// End of list of possible types for union field image_type.}
Fields
name
string
Output only. Name of this environment. Format: projects/{projectId}/locations/{location}/environments/{environmentId}
displayName
string
Display name of this environment for the UI.
description
string
A brief description of this environment.
postStartupScript
string
Path to a Bash script that automatically runs after a notebook instance fully boots up. The path must be a URL or Cloud Storage path. Example: "gs://path-to-file/file-name"
Output only. The time at which this environment was created.
A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".
Union field image_type. Type of the environment; can be one of VM image, or container image. image_type can be only one of the following: