Retry

Retry a Droplet Destroy with Associated Resources Request

gpu_droplets.destroy_with_associated_resources.retry(intdroplet_id)

post/v2/droplets/{droplet_id}/destroy_with_associated_resources/retry

If the status of a request to destroy a Droplet with its associated resources reported any errors, it can be retried by sending a POST request to the /v2/droplets/$DROPLET_ID/destroy_with_associated_resources/retry endpoint.

Only one destroy can be active at a time per Droplet. If a retry is issued while another destroy is in progress for the Droplet a 409 status code will be returned. A successful response will include a 202 response code and no content.

Parameters

droplet_idint

minimum1

HTTPPython

from do_gradientai import GradientAI

client = GradientAI()
client.gpu_droplets.destroy_with_associated_resources.retry(
    1,
)