OCR engines are picked by name (paddle|doctr|surya) rather than registered like
a model, so nothing could place one individually and the test for them failed
with "not in models.json" before it ever reached a pod. The only way to send
OCR to a pod was a capability remote — a production routing switch, and the
mechanism that once sent live embedding traffic to a rented GPU.

An ocr_models section maps to the ocr capability, so an engine gets the same
per-model placement every other model type already has, and the harness creates
a temporary entry for one when the catalogue has none.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0182DhR1eFNPQyGmDrpHbedY