NAME
    gcloud ai endpoints create - create a new Vertex AI endpoint

SYNOPSIS
    gcloud ai endpoints create --display-name=DISPLAY_NAME
        [--description=DESCRIPTION]
        [--encryption-kms-key-name=ENCRYPTION_KMS_KEY_NAME]
        [--endpoint-id=ENDPOINT_ID] [--labels=[KEY=VALUE,...]]
        [--network=NETWORK] [--region=REGION]
        [--request-response-logging-rate=REQUEST_RESPONSE_LOGGING_RATE
          --request-response-logging-table=REQUEST_RESPONSE_LOGGING_TABLE]
        [GCLOUD_WIDE_FLAG ...]

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

        $ gcloud 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.

     --encryption-kms-key-name=ENCRYPTION_KMS_KEY_NAME
        The Cloud KMS resource identifier of the customer managed encryption
        key used to protect a resource. Has the form:
        projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key.

        The key needs to be in the same region as where the compute resource is
        created.

     --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.

     --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 create

        $ gcloud beta ai endpoints create