## Update

`gpu_droplets.firewalls.update(strfirewall_id, FirewallUpdateParams**kwargs)  -> FirewallUpdateResponse`

**put** `/v2/firewalls/{firewall_id}`

To update the configuration of an existing firewall, send a PUT request to
`/v2/firewalls/$FIREWALL_ID`. The request should contain a full representation
of the firewall including existing attributes. **Note that any attributes that
are not provided will be reset to their default values.**
<br><br>You must have read access (e.g. `droplet:read`) to all resources attached
to the firewall to successfully update the firewall.

### Parameters

- **firewall\_id:** `str`

- **firewall:** `FirewallParam`

### Returns

- `class FirewallUpdateResponse`

  - **firewall:** `Optional[Firewall]`

### Example

```python
from do_gradientai import GradientAI

client = GradientAI()
firewall = client.gpu_droplets.firewalls.update(
    firewall_id="bb4b2611-3d72-467b-8602-280330ecd65c",
    firewall={
        "name": "frontend-firewall"
    },
)
print(firewall.firewall)
```