NAME
    gcloud alpha ai endpoints delete - delete an existing Vertex AI endpoint

SYNOPSIS
    gcloud alpha ai endpoints delete (ENDPOINT : --region=REGION)
        [GCLOUD_WIDE_FLAG ...]

EXAMPLES
    To delete an endpoint 123 under project example in region us-central1, run:

        $ gcloud alpha ai endpoints delete 123 --project=example \
            --region=us-central1

POSITIONAL ARGUMENTS
     Endpoint resource - The endpoint to delete. The arguments in this group
     can be used to specify the attributes of this 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 endpoint on the command line with a fully
        specified name;
      ◆ provide the argument --project on the command line;
      ◆ set the property core/project.

     This must be specified.

       ENDPOINT
          ID of the endpoint or fully qualified identifier for the endpoint.

          To set the name attribute:
          ▸ provide the argument endpoint on the command line.

          This positional argument must be specified if any of the other
          arguments in this group are specified.

       --region=REGION
          Cloud region for the endpoint.

          To set the region attribute:
          ▸ provide the argument endpoint on the command line with a fully
            specified name;
          ▸ 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 delete

        $ gcloud beta ai endpoints delete

