title: OpenEnv Code Review
emoji: 🚀
colorFrom: blue
colorTo: green
sdk: docker
app_file: app.py
pinned: false
OpenEnv Environment Submission
This repository contains the submission for the Meta PyTorch OpenEnv Hackathon — Round 1.
Overview
Implement an RL-style environment that follows the OpenEnv framework by Meta and Hugging Face. The environment exposes tasks, actions, step execution, and reward scoring.
Domain: Custom Domain (e.g. Email triage, Scheduling, Code Review)
Project Structure
openEnv/
├── inference.py # Main execution script emitting required [START], [STEP], [END] logs.
├── requirements.txt # Project dependencies
├── README.md # This file
├── spec.md # Full Hackathon Specification
└── checklist.md # Submission Verification Checklist
Setup & Execution
Prerequisites
- Python 3.9+
- OpenAI Python client (
openai>=1.0.0)
Installation
pip install -r requirements.txt
Environment Variables
For inference script to run, the following environment variables are supported/required:
HF_TOKEN: Required. Hugging Face Access Token.API_BASE_URL: Base URL for OpenAI client (Default:https://api.openai.com/v1)MODEL_NAME: The Language Model name (Default:gpt-3.5-turbo)OPENAI_API_KEY: API Key if hitting OpenAI directly or external OpenAI-compatible APIs.
export HF_TOKEN="your_hf_token"
export OPENAI_API_KEY="your_api_key"
Run
Ensure you output exactly to stdout for the metrics collection:
python inference.py
Output Formatting
The script outputs logs specifically formatted for the autograder:
[START] task=xyz env=abc model=mymodel[STEP] step=1 action=abc reward=0.00 done=false error=null[END] success=true steps=5 rewards=0.00,1.00
Hugging Face Spaces Deployment
URL: https://huggingface.co/spaces/YOUR_USER_ID/YOUR_SPACE_NAME
This project is configured to run efficiently on Hugging Face Spaces under the 2 vCPU & 8 GB RAM limitation constraint, with valid docker-based build processes. # OpenEnv