gcloud alpha ai endpoints create

NAME
gcloud alpha ai endpoints create - create a new Vertex AI endpoint
SYNOPSIS
gcloud alpha 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 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.
--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
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