Test your AI model's security without leaving your terminal.
Project description
cli
Test your AI model's security through CLI alone
Dev locally
- Set up a local python environment
poetry install
- Run commands as eg:
python3 -m src.mindgard auth
Release process:
- be in the repo root directory
- increment build number in pyproject.toml & setup.py (it overrides setup.py's value) - YOU CAN USE fully_release.sh for this
python3 -m build
python3 -m twine upload --repository testpypi dist/*
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
mindgard-0.12.0.tar.gz
(4.8 kB
view hashes)
Built Distribution
Close
Hashes for mindgard-0.12.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a1907d0b94cff73cad44ef8ef0e13ddabb91c05601ed74754c5ee66d9887101a |
|
MD5 | 98e4aa9ae3d0e48d9f29a4372785b3f3 |
|
BLAKE2b-256 | f7f786a79470f59cdfe09124d69457f455bdd4727d4b34c06faf696d6361d53f |