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

gcloud beta ai endpoints create--display-name=DISPLAY_NAME[--description=DESCRIPTION][--encryption-kms-key-name=ENCRYPTION_KMS_KEY_NAME][--endpoint-id=ENDPOINT_ID][--gdc-zone=GDC_ZONE][--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 …]

--display-name=DISPLAY_NAME

Display name of the endpoint.

--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 toprotect 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.

--gdc-zone=GDC_ZONE

The name of the GDC zone. If set, the endpoint is for GDCc.

--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, andnumbers. 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 shouldbe peered.

Region resource - Cloud region to create endpoint. This represents a Cloudresource. (NOTE) Some attributes are not given arguments in this group but canbe set in other ways.

To set theproject attribute:

• provide the argument--region on the command line with a fullyspecified name;
• set the propertyai/region with a fully specified name;
• choose one from the prompted list of available regions with a fully specifiedname;
• provide the argument--project on the command line;
• set the propertycore/project.

--region=REGION

ID of the region or fully qualified identifier for the region.

To set theregion attribute:

• provide the argument--region on the command line;
• set the propertyai/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

Run$gcloud help for details.