import Terminal from '@site/src/components/Terminal';

# Prompt contains gibberish guardrail

![](/img/guardrails-no-gibberish.png)

This guardrail acts like a filter that detects and manages inputs that are nonsensical, random, or meaningless, preventing the AI from generating irrelevant or low-quality responses. It uses a dedicated LLM provider with a hardcoded prompt to detect gibberish content.

This can be applied **before** the LLM processes the input (blocking nonsense prompts) and **after** to filter out meaningless responses.

### How it works

The guardrail sends messages to a validation LLM with a system prompt that instructs it to determine whether the content is gibberish. The validation LLM responds with `true` (content is meaningful) or `false` (content is gibberish).

### Configuration

```js
"guardrails": [
  {
    "enabled": true,
    "before": true,
    "after": true,
    "id": "gibberish",
    "config": {
      "provider": "provider_xxxxxxxxx"
    }
  }
]
```

### Field explanations

- **enabled**: `true` — The guardrail is active
- **before**: `true` — The guardrail applies to user input before sending to the LLM
- **after**: `true` — The guardrail applies to the LLM response

#### Config section

| Parameter | Type | Required | Default | Description |
|-----------|------|:--------:|---------|-------------|
| `provider` | string | Yes | — | Reference ID of the LLM provider used to evaluate messages for gibberish. Must be different from the main provider. |
| `err_msg` | string | No | `"This message has been blocked by the 'gibberish' guardrail !"` | Custom error message returned when a message is blocked. |

### Guardrail example

If a user inputs, `"asdkjfhasd lkj3r2lkkj!!"`, the LLM will recognize it as gibberish and block the request.

If the LLM generates a nonsensical response, it will be flagged and removed.
