# Data Retention Controls

## Data Retention Controls

### Automatic Cleanup

```python
import os
from pathlib import Path
from datetime import datetime, timedelta

class DataRetention:
    """Manage data retention policies."""

    def __init__(self, retention_days: int = 30):
        self.retention_days = retention_days

    def cleanup_old_logs(self, log_dir: str):
        """Remove logs older than retention period."""
        cutoff = datetime.now() - timedelta(days=self.retention_days)
        log_path = Path(log_dir)

        removed = []
        for file in log_path.glob("*.log"):
            mtime = datetime.fromtimestamp(file.stat().st_mtime)
            if mtime < cutoff:
                file.unlink()
                removed.append(file.name)

        return removed

    def cleanup_cache(self, cache_client):
        """Clear cached responses older than retention period."""
        # Implementation depends on cache backend
        pass

retention = DataRetention(retention_days=7)
```

### Request Anonymization

```python
import uuid

class AnonymizedClient:
    """Make requests without user-identifiable information."""

    def __init__(self, api_key: str):
        self.client = OpenAI(
            base_url="https://openrouter.ai/api/v1",
            api_key=api_key,
            default_headers={
                "HTTP-Referer": "",  # Remove referer
                "X-Title": "Anonymous",
            }
        )

    def chat(self, prompt: str, model: str):
        # Remove any identifying information from prompt
        cleaned_prompt = self._anonymize_prompt(prompt)

        return self.client.chat.completions.create(
            model=model,
            messages=[{"role": "user", "content": cleaned_prompt}]
        )

    def _anonymize_prompt(self, prompt: str) -> str:
        # Redact PII
        prompt, _ = redactor.redact(prompt)
        return prompt
```
