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 💭](https://discord.gg/YxdTpQxrbS) - Email ✉️ dom@simulatrex.com