Enable decision making based on LLM-based simulations

Feature Request

Start the Playground

Make sure to have the .env files in place following .env.example

1. Setup conda / venv env

2. Install global requirements

pip install -r requirements.txt

3. Install local simulatrex-engine package

pip install -e .

4. Start api server

cd api
pip install -r requirements.txt
uvicorn server:app --reload --loop asyncio

5. Install and run frontend

In a separate terminal:

cd playground
bun install
bun run dev

Open http://localhost:3000

Start running your simulation.

Or via Docker:

docker compose up

Contributing

To contribute: Clone the repo locally -> Make a change -> Submit a PR with the change.

Here's how to modify the repo locally: Step 1: Clone the repo

git clone https://github.com/simulatrex/simulatrex-engine

Step 2: Navigate into the project, setup a new virtual env (recommended) and install dependencies:

cd simulatrex
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Step 3: Submit a PR with your changes! 🚀

• push your fork to your GitHub repo
• submit a PR from there

Support / talk with founders

• Community Discord 💭
• Email ✉️ dom@simulatrex.com