gcloud ai endpoints create

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