Currently, we have managed to enable GPT to work in software company, collaborating to tackle more complex tasks.
- The team can handle Boss's one line Requirement cooperate and generate user stories / competetive analysis / requirements / data structures / apis / files etc.
- The team consists of product manager / architect / project manager / engineer, it provides the full process of a software company.
For example, if you type python startup.py "Design a RecSys like Toutiao"
, you would get many outputs, one of them is data & api design
It requires around $0.2 (GPT-4 api's costs) to generate one example with analysis and design, around $2.0 to a full project.
# Step 1: Ensure that NPM is installed on your system. Then install mermaid-js.
npm --version
sudo npm install -g @mermaid-js/mermaid-cli
# Step 2: Ensure that Python 3.9+ is installed on your system. You can check this by using:
python --version
# Step 3: Clone the repository to your local machine, and install it.
git clone https://github.com/geekan/metagpt
cd metagpt
python setup.py install
- Configure your
OPENAI_API_KEY
in any ofconfig/key.yaml / config/config.yaml / env
- Priority order:
config/key.yaml > config/config.yaml > env
# Copy the configuration file and make the necessary modifications.
cp config/config.yaml config/key.yaml
Variable Name | config/key.yaml | env |
---|---|---|
OPENAI_API_KEY # Replace with your own key | OPENAI_API_KEY: "sk-..." | export OPENAI_API_KEY="sk-..." |
OPENAI_API_BASE # Optional | OPENAI_API_BASE: "https://<YOUR_SITE>/v1" | export OPENAI_API_BASE="https://<YOUR_SITE>/v1" |
python startup.py "Write a cli snake game"
After running the script, you can find your new project in the workspace/
directory.
from metagpt.software_company import SoftwareCompany
from metagpt.roles import ProjectManager, ProductManager, Architect, Engineer
async def startup(idea: str, investment: str = '$3.0', n_round: int = 5):
"""Run a startup. Be a boss."""
company = SoftwareCompany()
company.hire([ProductManager(), Architect(), ProjectManager(), Engineer()])
company.invest(investment)
company.start_project(idea)
await company.run(n_round=n_round)
You can check examples
for more details on single role (with knowledge base) and LLM only examples.