Make the vision judge discover cost-effective OpenRouter models

Add openrouter_judge.py to rank live image+JSON models by advertised price,
with ordered fallbacks, auth-error handling and auto selection. Wire both judges
to --model auto, record the model used, and add fake-catalogue/mocked-call
tests. Re-run the judges with the valid key: 13/13 screen designs match, 0 diff;
the Forward+ A/B report records the selected model and ~$0.006 spend. Headless
231/231, Python 94/94.

MEMORY.md

@@ -44,6 +44,7 @@ Session memory for durable decisions, state, and gotchas. Keep concise, remove o
 - Shift length is the scenario's `shift_duration_s` (900 s in all three venues). Tests and the screenshot tool override elapsed time; they do not change the default.
 - RNG: NPC reactions and event scheduling are seedable for deterministic tests.
 
+- **Vision judge (v0.7.2):** `tools/openrouter_judge.py` reads `/api/v1/models`, filters image-input models with `response_format`, and ranks by advertised prompt/image/completion prices. `--model auto` (default) uses the cheapest (`z-ai/glm-5.3-flash` on 2026-11-01) with fallbacks; explicit `--model`/`GIG_LINE_JUDGE_MODEL` wins. Auth errors abort, provider/model errors fall through. Full screen judge 13/13 match, 0 diff; A/B judge ~$0.006.
 - **Desktop HQ preset (v0.7.1):** `packaging/desktop_hq/override.cfg` switches a
   copied executable to Forward+; `Materials.forward_plus_active()` gates
   volumetric fog/SDFGI and `light_volumetric_fog_energy`, and