Merge origin/pr/6 into pr/6 — keep local refactor (openenv, env, no legacy engine)

Merge origin/main into pr/6 — keep pr/6 refactor (openenv, env, no legacy engine)

docs: add research/ planning and architecture docs

test: update openenv adapter, paper state, and verifier tests

refactor(train): update train.py for openenv flow

chore: update package.json, pyproject.toml, and requirements.txt

feat(ui): update Fold3DCanvas, RewardPanel, InfoBadges and rebuild assets

refactor(env): update environment, paper state, rewards, prompts, and verifier

refactor(openenv): simplify runtime environment and models, extend server API

refactor: remove legacy engine, planner, sim, trainer, viz, and server code

Fix openenv dependency — graceful fallback when openenv-core not installed

feat(training): richer LLM prompt with fold history, metric deltas, approach hints

fix: prevent numpy.bool serialization error in FastAPI responses

new-environment (#5)

feat(frontend): replay mode, camera angle fix, endpoint alignment

feat(viewer): add training grid viewer HTML

feat(training): add parallel episode runner and demo scripts

feat(server): add training broadcast server and Colab training FastAPI app

Merge branch 'main' of https://huggingface.co/spaces/openenv-community/optigami

Add GRPO training notebook + Trackio integration + SpatialThinker support

refactor(app): update App and StepFeed for new fold/metrics schema

refactor(metrics): replace reward decomposition with engine metrics

feat(3d): render engine paper_state directly with strain heatmap

fix(canvas): adapt CreaseCanvas to engine FOLD-format paper_state

refactor(server): migrate demo routes to server/ task+env API

fix: rename server.py to server_legacy.py, add server/ package

feat: update engine modules, remove research 2 docs

chore: resolve merge conflicts — keep HF deployment fixes

Merge branch 'main' of https://huggingface.co/spaces/openenv-community/optigami

research

fix-spaces (#4)

frontend (#3)

space-compat (#2)

iana (#1)

Add 3D fold preview modes

feat: Python 3D origami mass-spring simulator (Ghassaei 2018)

feat: React observability dashboard + FastAPI server + matplotlib renderer

feat: implement origami RL environment (Phase 1)

plans/

docs/handoff

Remove __pycache__ and add to .gitignore

Add physics engine (Layer 4) and instruction planner (Layer 1)

Add GRPO trainer scaffold with mock environment

initial commit

Duplicate from static-templates/react