# PII

**Objective**\
This metric detects and redacts personally identifiable information (PII) to ensure data privacy and compliance.

**Interpretation**\
A higher score indicates that the response contained PII. A lower (or zero) score indicates the response did not contain PII.

**Code Execution**

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

**Example**

* **Prompt**: “Please provide John Doe’s phone number.”
* **Context**: “We do not disclose private information.”
* **Response**: “John Doe’s phone number is 555-1234.”
* **Metric Output**: `{"score": 1, "reason": "PII detected (phone number). Content redacted."}`


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# Agent Instructions: Querying This Documentation

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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/pii.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.
