NAME gcloud alpha ai endpoints create - create a new Vertex AI endpoint SYNOPSIS gcloud alpha ai endpoints create --display-name=DISPLAY_NAME [--description=DESCRIPTION] [--endpoint-id=ENDPOINT_ID] [--labels=[KEY=VALUE,...]] [--network=NETWORK] [--region=REGION] [GCLOUD_WIDE_FLAG ...] EXAMPLES To create an endpoint under project example in region us-central1, run: $ gcloud alpha ai endpoints create --project=example \ --region=us-central1 --display-name=my_endpoint REQUIRED FLAGS --display-name=DISPLAY_NAME Display name of the endpoint. OPTIONAL FLAGS --description=DESCRIPTION Description of the endpoint. --endpoint-id=ENDPOINT_ID User-specified ID of the endpoint. --labels=[KEY=VALUE,...] List of label KEY=VALUE pairs to add. Keys must start with a lowercase character and contain only hyphens (-), underscores (_), lowercase characters, and numbers. Values must contain only hyphens (-), underscores (_), lowercase characters, and numbers. --network=NETWORK The full name of the Google Compute Engine network to which the endpoint should be peered. Region resource - Cloud region to create endpoint. This represents a Cloud resource. (NOTE) Some attributes are not given arguments in this group but can be set in other ways. To set the project attribute: ◆ provide the argument --region on the command line with a fully specified name; ◆ set the property ai/region with a fully specified name; ◆ choose one from the prompted list of available regions with a fully specified name; ◆ provide the argument --project on the command line; ◆ set the property core/project. --region=REGION ID of the region or fully qualified identifier for the region. To set the region attribute: ▸ provide the argument --region on the command line; ▸ set the property ai/region; ▸ choose one from the prompted list of available regions. GCLOUD WIDE FLAGS These flags are available to all commands: --access-token-file, --account, --billing-project, --configuration, --flags-file, --flatten, --format, --help, --impersonate-service-account, --log-http, --project, --quiet, --trace-token, --user-output-enabled, --verbosity. Run $ gcloud help for details. NOTES This command is currently in alpha and might change without notice. If this command fails with API permission errors despite specifying the correct project, you might be trying to access an API with an invitation-only early access allowlist. These variants are also available: $ gcloud ai endpoints create $ gcloud beta ai endpoints create