Skip to content
DigitalOcean Gradient™ AI Agentic Cloud SDK Docs
  • Auto
  • Light
  • Dark

Retry

API Reference
GPU Droplets
Destroy With Associated Resources
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.

ParametersExpand Collapse
droplet_id: int
minimum1
Retry a Droplet Destroy with Associated Resources Request
  • http
  • typescript
  • python
from gradient import Gradient

client = Gradient(
    access_token="My Access Token",
)
client.gpu_droplets.destroy_with_associated_resources.retry(
    3164444,
)
Returns Examples