# Toxicity RAG Metric
**Objective**: This guardrail uses pre-trained multi-label models to check whether the generated text is toxic. If the model predicts any label of: toxicity, severe\_toxicity, obscene, threat, insult, identity\_attack, or sexual\_explicit with confidence higher than the specified threshold, the guardrail fails.
**Required Parameters**: `Response`
**Interpretation**: Higher score indicates the model response was toxic.
**Metric Execution via UI:**
**Code Execution:**
```python
metrics=[
{"name": "Toxicity", "config": {"model": "gpt-4o-mini", "provider": "openai"}, "column_name": "your-column-identifier", "schema_mapping": schema_mapping}
]
```
Model and Provider parameters are not mandatory to run Guardrails.
The "schema\_mapping" variable needs to be defined first and is a pre-requisite for evaluation runs. Learn how to set this variable [here](https://docs.raga.ai/ragaai-catalyst/concepts/running-ragaai-evals/executing-evaluations).
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