AgentSearch

Setup

We recommend:

using Conda to set up the basic Python environment and install some non-Python packages like git-lfs when without the root permission;
using pip to manage the Python packages because some packages are only available via pip.

Run the following commands to setup the basic environment and install most dependencies:

git clone https://github.com/tongyx361/agent-search.git
cd agent-search
conda env create -f environment.yml
conda activate agent-search
pip install -r requirements.txt

For common users/developers, please just run the following command the install the dart-math package:

pip install -e "."

For intended contributors, we recommend installing the package with the dev extras and setting up the pre-commit hooks by running:

pip install -e ".[dev]"
pre-commit install

Contribution Guidelines

File Structure

agent-search
├── data
├── utils # Repository utilities
├── agent_search # Package code for common utilities
├── nbs # Notebooks and other files to run tests and generate documentation with https://nbdev.fast.ai
├── [pipelines] # Reusable (Python / Shell) scripts or notebooks
└── [scripts] # One-time scripts

Checklist Before Commit

Run the prepare-commit.sh to clean the notebooks and export scripts for pipeline notebooks, generate documentation, run tests, render README if needed:

bash utils/prepare-commit.sh