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Open Source CAI Framework Handles Pen Testing Tasks up to 3,600× Faster Than Humans
CAI is a new open source AI framework that automates penetration testing tasks like scanning and exploitation up to 3,600× faster than humans.
The CLI for building and deploying databutton projects
Usage: databutton [OPTIONS] COMMAND [ARGS]...
Options:
-v, --verbose Enable verbose logging
--help Show this message and exit.
Commands:
build Build the project, built components will be found in .databutton
create Create a Databutton project in the provided project-directory
deploy Deploy your project to Databutton
docs Launches https://docs.databutton.com
init Creates a new project in Databutton and writes to databutton.json
login Login to Databutton
logout Removes all Databutton login info
serve Starts a web server for production.
start Run the Databutton development server
version Get the library version.
whoami Shows the logged in user
This project uses poetry, so if you haven't already;
pip install poetry
poetry install
poetry run pytest -s
`make lint``
All these are being run in a github action on pull requests and the main branch.
To test in another package, you can simply
pip install -e .
assuming you're in this folder. If not, replace the .
with the path to the databutton-cli
folder.
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