`backend/tools/claude_shim.py` serves an OpenAI-compatible endpoint backed by
the local `claude` command line tool, so a demo can be played against a real
model with no API key. Each request spawns one `claude --print` process, which
suits the turn engine: the app assembles the whole prompt every turn and
expects a stateless endpoint.
Playing the Pokemon demo through it made all five of the world-state changes in
`plan/16` work, and the refusal loop ran end to end for the first time: turn 3
clamped to nothing, turn 4's assembled prompt carried the correction verbatim,
and the model's next delta was right. Two failures previously blamed on the
code were the demo model. One is a schema fault and is still open: Milo's three
Pokemon share one `active_hp` stat, so a switch leaves the newcomer at 0 HP.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01PacdRuPXSkQQy4ZYdH32hF
