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101 lines
3.8 KiB
Text
101 lines
3.8 KiB
Text
NAME
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gcloud alpha ai endpoints create - create a new Vertex AI endpoint
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SYNOPSIS
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gcloud alpha ai endpoints create --display-name=DISPLAY_NAME
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[--description=DESCRIPTION]
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[--encryption-kms-key-name=ENCRYPTION_KMS_KEY_NAME]
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[--endpoint-id=ENDPOINT_ID] [--labels=[KEY=VALUE,...]]
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[--network=NETWORK] [--region=REGION]
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[--request-response-logging-rate=REQUEST_RESPONSE_LOGGING_RATE
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--request-response-logging-table=REQUEST_RESPONSE_LOGGING_TABLE]
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[GCLOUD_WIDE_FLAG ...]
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EXAMPLES
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To create an endpoint under project example in region us-central1, run:
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$ gcloud alpha ai endpoints create --project=example \
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--region=us-central1 --display-name=my_endpoint
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REQUIRED FLAGS
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--display-name=DISPLAY_NAME
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Display name of the endpoint.
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OPTIONAL FLAGS
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--description=DESCRIPTION
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Description of the endpoint.
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--encryption-kms-key-name=ENCRYPTION_KMS_KEY_NAME
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The Cloud KMS resource identifier of the customer managed encryption
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key used to protect a resource. Has the form:
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projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key.
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The key needs to be in the same region as where the compute resource is
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created.
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--endpoint-id=ENDPOINT_ID
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User-specified ID of the endpoint.
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--labels=[KEY=VALUE,...]
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List of label KEY=VALUE pairs to add.
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Keys must start with a lowercase character and contain only hyphens
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(-), underscores (_), lowercase characters, and numbers. Values must
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contain only hyphens (-), underscores (_), lowercase characters, and
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numbers.
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--network=NETWORK
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The full name of the Google Compute Engine network to which the
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endpoint should be peered.
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Region resource - Cloud region to create endpoint. This represents a Cloud
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resource. (NOTE) Some attributes are not given arguments in this group but
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can be set in other ways.
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To set the project attribute:
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◆ provide the argument --region on the command line with a fully
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specified name;
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◆ set the property ai/region with a fully specified name;
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◆ choose one from the prompted list of available regions with a fully
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specified name;
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◆ provide the argument --project on the command line;
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◆ set the property core/project.
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--region=REGION
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ID of the region or fully qualified identifier for the region.
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To set the region attribute:
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▸ provide the argument --region on the command line;
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▸ set the property ai/region;
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▸ choose one from the prompted list of available regions.
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--request-response-logging-rate=REQUEST_RESPONSE_LOGGING_RATE
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Prediction request & response sampling rate for logging to BigQuery
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table.
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--request-response-logging-table=REQUEST_RESPONSE_LOGGING_TABLE
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BigQuery table uri for prediction request & response logging.
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You can provide table uri that does not exist, it will be created for
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you.
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Value should be provided in format: bq://PROJECT_ID/DATASET/TABLE
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GCLOUD WIDE FLAGS
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These flags are available to all commands: --access-token-file, --account,
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--billing-project, --configuration, --flags-file, --flatten, --format,
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--help, --impersonate-service-account, --log-http, --project, --quiet,
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--trace-token, --user-output-enabled, --verbosity.
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Run $ gcloud help for details.
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NOTES
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This command is currently in alpha and might change without notice. If this
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command fails with API permission errors despite specifying the correct
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project, you might be trying to access an API with an invitation-only early
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access allowlist. These variants are also available:
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$ gcloud ai endpoints create
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$ gcloud beta ai endpoints create
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