# Ban List

**Objective**\
This metric filters out responses containing banned words or phrases, ensuring compliance with content guidelines.

**Interpretation**\
A higher score indicates the response contains banned terms. A lower (or zero) score indicates no banned terms were found.

**Code Execution**

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

**Example**

* **Prompt**: “Tell me a story.”
* **Context**: “Avoid the use of these banned words: \[redacted list].”
* **Response**: “Once upon a time, \[banned word]…”
* **Metric Output**: `{"score": 1, "reason": "Response contains a banned word or phrase."}`


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/guardrails/ban-list.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.