# Guardrail Reinforcer

## Overview
Guardrail Reinforcer is an automation tool designed to iteratively enhance AI guardrails by applying reinforcement learning on feedback from detected bypass attempts. It helps developers fine-tune models and improve safety standards over time.

## Installation

Install the required Python packages:

```bash
pip install transformers gym torch
```

## Usage

Run the tool using the following command:

```bash
python guardrail_reinforcer.py --log <path_to_log_file> --model <path_to_model> --output <path_to_save_updated_model>
```

### Arguments
- `--log`: Path to the bypass attempt log file (JSON format).
- `--model`: Path to the pre-trained AI model.
- `--output`: Path to save the updated model.

## Example

```bash
python guardrail_reinforcer.py --log bypass_attempts.json --model pretrained_model --output updated_model
```

## Testing

Run the tests using pytest:

```bash
pytest test_guardrail_reinforcer.py
```

## License

MIT License