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Complete OpenEnv hackathon submission
- Add pyproject.toml + uv.lock for openenv validate compliance - Add server/app.py shim (importlib) for [project.scripts] entry point - Rename baseline.py → inference.py (WebSocket-based LLM agent) - Fix env.py: guaranteed label flip, noise trap, shaped reward, warmup - Fix models.py: strategy_weights validator - Fix server.py: /ws WebSocket, /grader with episode persistence, Reward model - Fix openenv.yaml: sync medium/hard success criteria with grader - Add .gitignore: exclude .DS_Store, __pycache__, .claude/ - Add websockets to requirements.txt - Update README: HF frontmatter, actual baseline scores, full API docs openenv validate: [OK] DataSelectEnv: Ready for multi-mode deploymentc90be96