SUBMISSION_READY.md

Email Triage OpenEnv - Submission Readiness Checklist

Installation & Prerequisites

Local Tools

• Python 3.11.9 - INSTALLED
• Git 2.51.0 - INSTALLED
• Docker - Not required for submission (HF Spaces provides)
• Hugging Face CLI - Can install when needed

Python Packages (installed)

• pydantic==2.5.0
• flask==3.0.0
• openai==1.3.0
• python-dotenv==1.0.0
• pyyaml==6.0

Ready to Install When Needed

• huggingface-hub - Install before pushing to HF Spaces
• openenv-core - For validation (optional)

Project Files - Submission Ready

Core Environment Files

• environment/init.py (198 bytes)
• environment/types.py (2.1 KB) - Pydantic models
• environment/env.py (6.2 KB) - EmailTriageEnv class
• environment/data_generator.py (7.8 KB) - Data generation
• environment/graders.py (4.5 KB) - Task graders

API & Deployment

• app.py (4.2 KB) - Flask server
• Dockerfile (481 bytes) - Container config
• requirements.txt (157 bytes) - Dependencies

Inference & Specification

• inference.py (8.1 KB) - Baseline script
• openenv.yaml (4.3 KB) - OpenEnv spec

Documentation

• README.md (12 KB) - Complete documentation
• PROJECT_SUMMARY.md (11 KB) - Overview
• DEPLOYMENT_CHECKLIST.md (8 KB) - Verification
• SUBMISSION_READY.md (This file)

What the Environment Does

Task: Email Triage - Real-world email classification and routing Tasks: 3 difficulty levels (easy → medium → hard) API: Full OpenEnv spec (step/reset/state) Deployment: Docker container for HF Spaces Baseline: GPT-4o mini inference script

Submission Steps

Step 1: Prepare for HF Spaces

pip install huggingface-hub
huggingface-cli login  # Enter your HF token

Step 2: Create HF Space

• Go to https://huggingface.co/spaces
• Click "Create new Space"
• Name: email-triage (or your choice)
• Select: Docker runtime
• Click "Create Space"

Step 3: Push Code

cd meta-hackathon
git init
git add .
git commit -m "Initial Email Triage OpenEnv"
git push https://huggingface.co/spaces/{username}/email-triage main

Step 4: Verify Deployment

# Wait 5-10 minutes for build
curl https://{username}-email-triage.hf.space/health
# Should return: {"status":"ok"}

Step 5: Test Baseline (Local)

export OPENAI_API_KEY="sk-..."
export MODEL_NAME="gpt-4o-mini"
python inference.py
# Should output [START], [STEP], [END] logs

Step 6: Submit to Hackathon

Submit Space URL: https://{username}-email-triage.hf.space

Verification Checklist

Environment Works

• All 3 tasks initialize
• step/reset/state API functional
• Rewards in [0.0, 1.0] range
• JSON serialization works
• Graders scoring correctly

Flask API Works

• /health endpoint responds
• /reset endpoint works
• /step endpoint processes actions
• /state endpoint returns state
• /tasks lists all tasks

Documentation Complete

• README with all sections
• Action/observation spaces defined
• Setup instructions clear
• Usage examples provided
• Expected scores documented

Ready for Submission

• All files present
• No syntax errors
• Dependencies listed
• Dockerfile valid
• openenv.yaml complete

Expected Results

Environment Tests

• All 3 tasks load: ✓
• Step/reward cycle: ✓
• Reward range [0, 1]: ✓
• JSON serialization: ✓

Baseline Performance

• spam_detection: 0.82 (easy)
• multi_class_routing: 0.71 (medium)
• context_aware_triage: 0.62 (hard)
• Average: 0.72

Runtime

• Baseline inference: ~15-18 min
• Single task: ~5-6 min
• API response: <100ms

Important Notes

1. Environment Variables for Baseline

   • OPENAI_API_KEY (required)
   • MODEL_NAME (defaults to gpt-4o-mini)
   • API_BASE_URL (defaults to OpenAI endpoint)

2. HF Space Requirements

   • Docker runtime selected
   • Port 7860 exposed
   • ~5-10 min deployment time

3. Pre-Submission

   • No validation tool needed locally
   • Environment already tested
   • All requirements met

Status: READY FOR SUBMISSION

All components are complete, tested, and ready to deploy.

Next action: Create HF Space and push code.