DEPLOYMENT_CHECKLIST.md

OpenEnv Deployment Checklist

✅ All Requirements Verified

1. ✅ HF Space Deployment Ready

• Dockerfile builds successfully
• Port 7860 exposed and configured
• Health check endpoint at /health
• Root endpoint redirects to UI at /ui
• FastAPI app properly configured

2. ✅ Reset Endpoint Available

• reset(config: Dict) method implemented
• Accepts config={"task_id": "<task_id>"} parameter
• Returns valid QuantumObservation
• All 7 tasks reset successfully:
  • easy (Bell State)
  • medium (GHZ State)
  • hard (Unitary Approximation)
  • efficient (Imperfect but Efficient)
  • noisy (Noise-Dominant)
  • budget (Budgeted Optimization)
  • approx (Approximate Target)

3. ✅ OpenEnv Spec Compliance

• openenv.yaml validated with all required fields:

  • spec_version: 1
  • name: quantum_circuit_optimizer
  • type: space
  • runtime: fastapi
  • app: server.app:app
  • port: 7860
  • tasks: 7 tasks defined
  • action_schema: Complete
  • observation_schema: Complete

• Typed Pydantic models:

  • QuantumAction (extends Action)
  • QuantumObservation (extends Observation)
  • QuantumState (extends State)

• Core endpoints implemented:

  • reset(config) → QuantumObservation
  • step(action) → QuantumObservation
  • state property → QuantumState

4. ✅ Dockerfile Builds

• Multi-stage build using openenv-base
• Dependencies installed via uv sync
• Virtual environment properly configured
• PYTHONPATH set correctly
• Health check configured
• CMD runs uvicorn server on port 7860

5. ✅ Baseline Inference Script

• inference.py exists in root directory
• Uses OpenAI client for LLM calls
• Reads environment variables:
  • API_BASE_URL
  • MODEL_NAME
  • HF_TOKEN
  • IMAGE_NAME
• Proper stdout format:
  • [START] line at episode begin
  • [STEP] line per step
  • [END] line after completion
• Runs all 7 tasks
• Returns scores in [0, 1] range

6. ✅ 3+ Tasks with Graders

• 7 tasks total (exceeds minimum of 3):

  1. easy - Bell State (2 qubits, no noise)
  2. medium - GHZ State (3 qubits, depolarizing noise)
  3. hard - Unitary Approximation (2 qubits, thermal noise)
  4. efficient - Imperfect but Efficient (3 qubits, efficiency focus)
  5. noisy - Noise-Dominant (2 qubits, noise focus)
  6. budget - Budgeted Optimization (3 qubits, gate budget)
  7. approx - Approximate Target (4 qubits, tolerance)

• 5 modular graders implemented:

  1. FidelityGrader - State overlap (0-1)
  2. EfficiencyGrader - Depth + gate count (0-1)
  3. NoiseGrader - Noise resilience (0-1)
  4. ConstraintsGrader - Connectivity compliance (0-1)
  5. UnitaryGrader - Unitary fidelity (0-1)
  6. AggregateGrader - Weighted combination (0-1)

• All graders produce scores in [0.0, 1.0] range

• Rewards in reasonable range (typically -1 to +1)

• Shaped reward function (not sparse)

7. ✅ Additional Features

• Gradio UI at /ui endpoint
• Task listing at /tasks endpoint
• Concurrent session support
• Deterministic scoring (same circuit → same score)
• Qiskit statevector backend for quantum simulation
• Comprehensive error handling
• Detailed logging

📋 Deployment Commands

Local Testing

# Run environment directly
python server/my_env_environment.py

# Run compliance tests
python test_compliance.py

# Start server locally
uvicorn server.app:app --host 0.0.0.0 --port 7860

Docker Build & Run

# Build image
docker build -t quantum-circuit-opt:latest .

# Run container
docker run -p 7860:7860 quantum-circuit-opt:latest

# Test health endpoint
curl http://localhost:7860/health

Inference Testing

# Set environment variables
export HF_TOKEN="your-token"
export IMAGE_NAME="quantum-circuit-opt:latest"
export MODEL_NAME="Qwen/Qwen2.5-72B-Instruct"

# Run inference
python inference.py

Deploy to HF Spaces

# Using OpenEnv CLI
openenv push

# Or manually push to HF Space repository
git push hf main

🎯 Expected Performance

Task	Expected Score	Expected Fidelity
Easy (Bell)	0.65-0.85	>= 0.90
Medium (GHZ)	0.45-0.65	>= 0.80
Hard (Unitary)	0.30-0.50	>= 0.60
Efficient	0.60-0.80	>= 0.85
Noisy	0.40-0.60	>= 0.75
Budget	0.50-0.70	>= 0.80
Approx	0.55-0.75	>= 0.70

✅ All Requirements Met

Status: READY FOR DEPLOYMENT 🚀

All OpenEnv compliance requirements have been verified:

• ✅ HF Space deploys
• ✅ Automated ping returns 200 and responds to reset()
• ✅ OpenEnv spec compliance validated
• ✅ Dockerfile builds successfully
• ✅ Baseline inference script runs without error
• ✅ 7 tasks with 5 graders, all scores in [0.0-1.0] range