Generate adversarial pytest tests using LLM
Project description
pytest-adversarial
LLM-powered adversarial test generation for Python using Quality-Diversity algorithms.
Installation
pip install pytest-adversarial
Quick Example
Test a JSON parser for edge cases:
# target.py
import json
def parse_json(text: str) -> dict:
"""Parse JSON string."""
return json.loads(text)
Run adversarial testing:
pytest-adversarial examples/json_parser/target.py --rounds 10
The tool will automatically:
- Generate adversarial test inputs using LLMs
- Find edge cases that crash your code
- Evolve attacks using Quality-Diversity search
- Report robustness metrics and discovered vulnerabilities
Sample output:
Round 5/10 | Robustness: 73.2% | Attacks: 42 | Types: 8
Found: malformed_unicode, extreme_nesting, special_chars...
Documentation
For detailed usage, examples, and advanced features, visit: github.com/nulone/pytest-adversarial
Requirements
- Python 3.10+
- OpenAI API key (set
OPENROUTER_API_KEYenvironment variable)
License
MIT License - see GitHub repository for details.
Project details
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