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 buildpython3 -m twine upload --repository testpypi dist/*
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-0.13.0.tar.gz
(5.9 kB
view hashes)
Built Distribution
Close
Hashes for mindgard-0.13.0-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c77978f186da5d76b69fac8870b1e706eff40279cd298e14d36d04bd2ef1dbee |
|
| MD5 | b3d15de29a272435c52beabb4478a638 |
|
| BLAKE2b-256 | 03b6db455274aadba8c8a8bf31e93343c7fba2d7eea3bfc8ff875cce4716f111 |
