> For the complete documentation index, see [llms.txt](https://docs.raga.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/guardrails/gibberish-check.md).

# Gibberish Check

Detect nonsensical outputs from LLMs. Apply guardrails to ensure clarity and coherence.

**Objective**\
This metric identifies and filters out nonsensical or incoherent responses, ensuring high-quality outputs.

**Interpretation**\
A higher score indicates that the response contains gibberish or incoherence. A lower (or zero) score indicates the response is coherent.

**Code Execution**

```python
metrics = [
    {
        "name": "Gibberish Check",
        "config": {
            "model": "gpt-4o-mini",
            "provider": "openai"
        },
        "column_name": "your-column-identifier",
        "schema_mapping": schema_mapping
    }
]
```

**Example**

* **Prompt**: “Explain how photosynthesis works.”
* **Context**: “Photosynthesis is the process by which plants convert sunlight into chemical energy.”
* **Response**: “Blarg foo sunlight munch munch!”
* **Metric Output**: `{"score": 1, "reason": "Response is incoherent or nonsensical."}`