For AI agents: The documentation index is at https://docs.digitalocean.com/llms.txt. Markdown versions of pages use the same URL with index.html.md in place of the HTML page (for example, append index.html.md to the directory path instead of opening the HTML document).

Usage

client.droplets.destroy_with_associated_resources_dangerous(
    droplet_id=3164444,
    x_dangerous=True,
)

Description

To destroy a Droplet along with all of its associated resources, send a DELETE request to the /v2/droplets/{droplet_id}/destroy_with_associated_resources/dangerous endpoint. The headers of this request must include an X-Dangerous key set to true. To preview which resources will be destroyed, first query the Droplet’s associated resources. This operation can not be reverse and should be used with caution.

A successful response will include a 202 response code and no content. Use the status endpoint to check on the success or failure of the destruction of the individual resources.

Parameters

droplet_id integer required

A unique identifier for a Droplet instance.

Min: 1

x_dangerous boolean required

Acknowledge this action will destroy the Droplet and all associated resources and _can not_ be reversed.

Request Sample

import os
from pydo import Client

client = Client(token=os.environ.get("DIGITALOCEAN_TOKEN"))

resp = client.droplets.destroy_with_associated_resources_dangerous(droplet_id=524512)

More Information

See /v2/droplets/{droplet_id}/destroy_with_associated_resources/dangerous in the API reference for additional detail on responses, headers, parameters, and more.