gcloud-help/gcloud/ai/endpoints/update

NAME
    gcloud ai endpoints update - update an existing Vertex AI endpoint

SYNOPSIS
    gcloud ai endpoints update (ENDPOINT : --region=REGION)
        [--description=DESCRIPTION] [--display-name=DISPLAY_NAME]
        [--update-labels=[KEY=VALUE,...]]
        [--clear-labels | --remove-labels=[KEY,...]]
        [--clear-traffic-split | --traffic-split=[DEPLOYED_MODEL_ID=VALUE,...]]
        [--disable-request-response-logging
          | --request-response-logging-rate=REQUEST_RESPONSE_LOGGING_RATE
          --request-response-logging-table=REQUEST_RESPONSE_LOGGING_TABLE]
        [GCLOUD_WIDE_FLAG ...]

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

        $ gcloud ai endpoints update 123 --project=example \
            --region=us-central1 --display-name=new_name

POSITIONAL ARGUMENTS
     Endpoint resource - The endpoint to update. 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.

FLAGS
     --description=DESCRIPTION
        Description of the endpoint.

     --display-name=DISPLAY_NAME
        Display name of the endpoint.

     --update-labels=[KEY=VALUE,...]
        List of label KEY=VALUE pairs to update. If a label exists, its value
        is modified. Otherwise, a new label is created.

        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.

     At most one of these can be specified:

       --clear-labels
          Remove all labels. If --update-labels is also specified then
          --clear-labels is applied first.

          For example, to remove all labels:

              $ gcloud ai endpoints update --clear-labels

          To remove all existing labels and create two new labels, foo and baz:

              $ gcloud ai endpoints update --clear-labels \
                --update-labels foo=bar,baz=qux

       --remove-labels=[KEY,...]
          List of label keys to remove. If a label does not exist it is
          silently ignored. If --update-labels is also specified then
          --update-labels is applied first.

     At most one of these can be specified:

       --clear-traffic-split
          Clears the traffic split map. If the map is empty, the endpoint is to
          not accept any traffic at the moment.

       --traffic-split=[DEPLOYED_MODEL_ID=VALUE,...]
          List of pairs of deployed model id and value to set as traffic split.

     At most one of these can be specified:

       --disable-request-response-logging
          Disable prediction request & response logging.

       --request-response-logging-rate=REQUEST_RESPONSE_LOGGING_RATE
          Prediction request & response sampling rate for logging to BigQuery
          table.

       --request-response-logging-table=REQUEST_RESPONSE_LOGGING_TABLE
          BigQuery table uri for prediction request & response logging.

          You can provide table uri that does not exist, it will be created for
          you.

          Value should be provided in format: bq://PROJECT_ID/DATASET/TABLE

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
    These variants are also available:

        $ gcloud alpha ai endpoints update

        $ gcloud beta ai endpoints update