## List

`gpu_droplets.backups.list(intdroplet_id, BackupListParams**kwargs)  -> BackupListResponse`

**get** `/v2/droplets/{droplet_id}/backups`

To retrieve any backups associated with a Droplet, send a GET request to
`/v2/droplets/$DROPLET_ID/backups`.

You will get back a JSON object that has a `backups` key. This will be set to
an array of backup objects, each of which contain the standard
Droplet backup attributes.

### Parameters

- **droplet\_id:** `int`

- **page:** `int`

  Which 'page' of paginated results to return.

- **per\_page:** `int`

  Number of items returned per page

### Returns

- `class BackupListResponse`

  - **meta:** `MetaProperties`

    Information about the response itself.

  - **backups:** `Optional[List[Backup]]`

    - **id:** `int`

      The unique identifier for the snapshot or backup.

    - **created\_at:** `datetime`

      A time value given in ISO8601 combined date and time format that represents when the snapshot was created.

    - **min\_disk\_size:** `int`

      The minimum size in GB required for a volume or Droplet to use this snapshot.

    - **name:** `str`

      A human-readable name for the snapshot.

    - **regions:** `List[str]`

      An array of the regions that the snapshot is available in. The regions are represented by their identifying slug values.

    - **size\_gigabytes:** `float`

      The billable size of the snapshot in gigabytes.

    - **type:** `Literal["snapshot", "backup"]`

      Describes the kind of image. It may be one of `snapshot` or `backup`. This specifies whether an image is a user-generated Droplet snapshot or automatically created Droplet backup.

      - `"snapshot"`

      - `"backup"`

  - **links:** `Optional[PageLinks]`

### Example

```python
from do_gradientai import GradientAI

client = GradientAI()
backups = client.gpu_droplets.backups.list(
    droplet_id=3164444,
)
print(backups.meta)
```