Final Submission Audit
Audit date: April 26, 2026.
Status Summary
PolyGuard implements the participant-guide stack from dataset acquisition through OpenEnv environment, rewards, SFT, GRPO, inference, UI/API product, evaluation, and Hugging Face Space deployment. The public environment Space is live at https://huggingface.co/spaces/TheJackBright/polyguard-openenv and the runtime health endpoint returned {"status":"healthy"} during this audit.
The only known judge-facing blocker is external storytelling: the README blog URL https://huggingface.co/blog/TheJackBright/polyguard-openenv currently returns 404 until docs/hf_blog_draft.md is published there or the README is updated with a real YouTube/slide/blog URL.
Requirement Matrix
| Requirement area | Status | Evidence |
|---|---|---|
| Problem statement and theme fit | Implemented | README describes safe long-horizon polypharmacy action selection under World Modeling / Professional Tasks. |
| OpenEnv environment | Implemented | openenv.yaml, PolyGuardEnv, FastAPI /reset, /step, /state, /metadata, /schema, /mcp, and /ws; uv run openenv validate . passes. |
| Dataset acquisition and preprocessing | Implemented | scripts/bootstrap_data.py, scripts/ingest_open_drug_sources.py, scripts/build_training_corpus.py, data/processed/*, data/scenarios/*, and docs/dataset_report.md. |
| Easy/medium/hard curriculum | Implemented | Scenario JSON/JSONL sets plus task presets exposed through /env/catalog. |
| Rewards and anti-hacking | Implemented | 13 reward components, 4 primary channels, bounded reward scaling, timeout handling, app/env/anti_cheat.py, and reward/anti-cheat tests. |
| Training loop | Implemented | scripts/train_sft_trl.py, scripts/train_grpo_trl.py, app/training/grpo_trl.py, and app/hf_space/training_runner.py. |
| TRL / Unsloth stack | Implemented with fallback reality documented | TRL path is active and reports trl_transformers; Unsloth is wired as optional but was unavailable in current reports. |
| Post-training export and inference | Implemented | scripts/merge_adapters_safe.py, scripts/test_inference_postsave.py, active model manifest, and API/UI model status path. |
| Product/demo | Implemented | FastAPI product API, React/Vite workbench, policy lab, training monitor, replay, dosing, and safety views. |
| Results and plots | Implemented | Tracked docs/results/*.json and PNG plots, including SFT baseline sweep evidence and top-level environment-backed GRPO evidence. |
| HF Space deployment | Implemented | Public Space is running on CPU basic, Space metadata is available, and tracked docs/results/hf_space_verification.json reports OpenEnv validation passed. |
| Colab notebook | Implemented | README links notebooks/09_training_loop.ipynb through Colab. |
| Story artifact | Pending external publication | docs/hf_blog_draft.md exists, but the README blog URL returns 404 until published. |
| Full public per-model GRPO sweep | Not claimed | Current public/tracked evidence is a 3-model SFT-baseline sweep plus a top-level GRPO run. Private training artifact repos require auth and must be mirrored before being used as public evidence. |
Fresh Verification
uv run pytest: 49 tests passed.uv run openenv validate .: local OpenEnv validation passed.POLYGUARD_ENFORCE_SUBMISSION_LINKS=true uv run python scripts/acceptance_gate.py: strict gate passed.curl -s https://thejackbright-polyguard-openenv.hf.space/health: returned{"status":"healthy"}.curl -s https://thejackbright-polyguard-openenv.hf.space/metadata: returned PolyGuard OpenEnv metadata with reward range[0.001, 0.999].
Submission Notes
- Publish the Hugging Face blog draft or replace the story URL before final hand-in.
- Run
uv run python scripts/validate_submission_links.pyafter publication to catch broken README URLs. - Do not add private HF artifact repos as judge-facing links unless they are made public or their outputs are mirrored into the repository/Space documentation.