https://github.com/tongyx361/agent-search

Flexible and efficient LLM agent searching algorithm implementation
https://github.com/tongyx361/agent-search

Last synced: about 7 hours ago
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Flexible and efficient LLM agent searching algorithm implementation

• Host: GitHub
• URL: https://github.com/tongyx361/agent-search
• Owner: tongyx361
• License: mit
• Created: 2024-06-20T16:44:40.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-06-27T16:57:26.000Z (4 months ago)
• Last Synced: 2024-06-27T23:31:15.524Z (4 months ago)
• Language: Jupyter Notebook
• Homepage: https://tongyx361.github.io/agent-search/
• Size: 555 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# AgentSearch

## Setup

We recommend:

- using [Conda](https://docs.conda.io/projects/miniconda) to set up the

  **basic Python environment** and install some **non-Python packages**

  like `git-lfs` when **without the root permission**;

- using [`pip`](https://pip.pypa.io/en/stable/#) 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**:

``` shell

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:

``` shell

pip install -e "."

```

For intended contributors, we recommend installing the package with the

`dev` extras and setting up the pre-commit hooks by running:

``` shell

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`](utils/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