Liu-Hy/GenoMAS 源码下载_部署教程

项目概述

A minimalist multi-agent framework for rubost automation of scientific analysis workflows, such as gene expression analysis.

项目地址

https://github.com/Liu-Hy/GenoMAS

项目页面预览

Liu-Hy/GenoMAS preview

关键指标

Stars：128
主要语言：Python
License：MIT License
最近更新：2025-10-10T08:21:01Z
默认分支：main

本站高速下载（国内可用）

源码压缩包下载：点击下载（本站镜像）
SHA256：be0fb2c49de5db9098103f253d50f52c35f2f29f3601784de5e5d3cab9be6eef

安装部署要点（README 精选）

📦 Usage

2. Environment Setup

Create Python Environment

Create a conda environment with Python 3.10 and install the required packages:

conda create -n genomas python=3.10
conda activate genomas
pip install -r requirements.txt

Configure API Keys

Create a .env file in the project root directory with at least one API key from a provider you choose. The code supports multiple providers and can use different API keys for load balancing.

Copy the template file and fill in your API keys:

cp env.example .env
# Then edit .env with your actual API keys

💡 Tip: For OpenAI models, the organization ID is also required. See env.example for the full template with all available configuration options.

3. Run Experiments

Example 1: Basic Run with Single Model

python main.py --version exp1 --model gpt-5-mini-2025-08-07 --api 1

常用命令（从 README 提取）

cd download
python validator.py --data-dir /path/to/data --validate

conda create -n genomas python=3.10
conda activate genomas
pip install -r requirements.txt

cp env.example .env
# Then edit .env with your actual API keys