## Delete Dangerous

`gpu_droplets.autoscale.delete_dangerous(strautoscale_pool_id, AutoscaleDeleteDangerousParams**kwargs)`

**delete** `/v2/droplets/autoscale/{autoscale_pool_id}/dangerous`

To destroy an autoscale pool and its associated resources (Droplets),
send a DELETE request to the `/v2/droplets/autoscale/$AUTOSCALE_POOL_ID/dangerous` endpoint.

### Parameters

- **autoscale\_pool\_id:** `str`

- **x\_dangerous:** `bool`

### Example

```python
from do_gradientai import GradientAI

client = GradientAI()
client.gpu_droplets.autoscale.delete_dangerous(
    autoscale_pool_id="0d3db13e-a604-4944-9827-7ec2642d32ac",
    x_dangerous=True,
)
```