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.

CHANGELOG.md

@@ -4,6 +4,49 @@ All notable user-facing changes to Gig Line. The format follows
 [Keep a Changelog](https://keepachangelog.com/en/1.1.0/), and versions use
 Semantic Versioning.
 
+## [0.7.2] — 2026-11-01
+
+### Added
+
+- Automatic OpenRouter model selection for the screenshot judges: the cheapest
+  currently available image+JSON-capable model is used, with ordered fallbacks
+  and a pinned `GIG_LINE_JUDGE_MODEL`/`--model` override.
+
+### Changed
+
+- The judge reports the model that produced each verdict and fails clearly on an
+  invalid API key instead of retrying other models.
+- The screen-design and realism reports now include the fresh judge results.
+
+### Fixed
+
+- The blocked screenshot judge now runs with the valid `OPENROUTER_API_KEY`
+  (`13/13` screen designs match, `0` diff).
+
+## [0.7.1] — 2026-11-01
+
+### Added
+
+- An optional Desktop HQ build for Windows and Linux that uses Forward+,
+  volumetric fog and SDFGI, packaged with an `override.cfg` beside the
+  executable.
+- Volumetric flashlight haze in the Desktop HQ build, with a LATE-phase preset
+  tuned so the entrance facade stays readable.
+
+### Changed
+
+- The normal Compatibility build remains the default; the preset only affects
+  the extracted Desktop HQ copy.
+- Night-time light falloff adapts to Godot 4.7 while keeping the 4.3 baseline
+  unchanged.
+
+### Fixed
+
+- The flashlight no longer disappears at night on Godot 4.7 under the old
+  attenuation curve.
+- Headless and Web builds stay non-volumetric and boot normally when Forward+
+  is unavailable.
+
 ## [0.7.0] — 2026-11-01
 
 ### Changed

DONE.md

@@ -1279,3 +1279,60 @@ have no stage in the committed `docs/screenshots/` gallery, only in `capture_rea
       0 bad**; the new screenshots are 18.2 / 32.6 MAE against their references.
 - [-] Update `docs/architecture.md` (venue geometry), `README.md` (gallery) and the screenshot
       table when the stages land.
+
+## Forward+ desktop preset and a volumetric flashlight (v0.7.1)
+
+Completed 2026-11-01. The optional Desktop HQ build uses Forward+ with volumetric fog, SDFGI and a volumetric flashlight; Compatibility/Web/headless remain the default. The entrance A/B improved the metric gap 1.568 → 1.187. The vision-judge retry remains tracked separately because the API key was invalid.
+
+The Compatibility renderer has no volumetrics, so the flashlight is a tight pool of light with
+no visible shaft. A second desktop build can render it properly without touching the CI/default
+path.
+
+- [x] Write the preset as an `override.cfg` (Godot reads it beside the binary/project) that sets
+      `rendering/renderer/rendering_method="forward_plus"`, enables `volumetric_fog_*` and SDFGI,
+      and keeps the Compatibility build as the default (`project.godot` unchanged). The preset
+      lives in `packaging/desktop_hq/`; `local lights adapted for Godot 4.7 falloff` too.
+- [x] Gate the effect in code: only give the flashlight a volumetric component when the renderer
+      is Forward+ (`RenderingServer.get_rendering_device() != null`), so Web/CI builds are
+      untouched and the existing headless tests keep passing. Environment volumetric fog/SDFGI
+      use the same gate; tests assert the headless lamp is non-volumetric.
+- [x] Tune `light_volumetric_fog_energy`/`fog_density` for the LATE phase and re-check the
+      entrance so the shaft does not wash the facade again. LATE density is 0.020 and the lamp
+      volumetric energy is 3.0; the entrance read improves without bleaching the brick.
+- [x] A/B the two renderers with `capture_realism.gd` (`--stages=late --flashlight`, two `--out`
+      dirs) and record the diff in `docs/screens/realism/2026-11-01-forward-plus/`: entrance
+      metric gap 1.568 → 1.187, two-shot mean 0.907 → 0.723. Judge scores are blocked by the
+      invalid API key and tracked with the other judge retry.
+- [x] Add the preset to `tools/build_releases.sh` and `docs/RELEASING.md` as an optional
+      "desktop HQ" artifact, and note the runtime requirement (Vulkan driver) in `README.md`.
+      `gig-line-desktop-hq-<version>.zip` packages the Linux/Windows binaries, override.cfg and
+      README; `publish_release.sh` uploads it when present.
+- [x] Test: a headless run must still boot when Forward+ is unavailable (the preset must degrade
+      to Compatibility instead of failing to start). Verified with the preset in the project
+      root: `godot --headless --path . --quit-after 5` exits 0 and starts the game; an exported
+      HQ binary also boots with Vulkan Forward+ under Xvfb.
+
+## Vision judge reliability (v0.7.2)
+
+Completed 2026-11-01. The judge now discovers the cheapest current OpenRouter image+JSON model (falling back through known candidates), reports the model used, and uses the valid key. Full screen-design judge: 13/13 match, 0 diff.
+
+The judge failed with an invalid-key HTTP 400 even though the `.env` key was later
+valid, and a hard-coded model can disappear or be unavailable. Make the judge discover
+current OpenRouter vision models, prefer cheap/structured-output-capable ones, and fall
+back when a provider rejects a request.
+
+- [x] Add `tools/openrouter_judge.py`: query `/api/v1/models`, filter image-input models
+      with `response_format` support, rank by estimated token/image cost, and keep a
+      small known-good fallback list.
+- [x] Let both `screen_designs.py judge` and `scene_concepts.py realism --judge` use
+      `--model auto` (the new default), retry a transient provider error once, and move
+      to the next model on model/provider failures. An invalid key fails with exit 2.
+- [x] Print/report the selected model(s) and fallback order; the judge JSON records the
+      selected model and the selected-parameter cost is inferred from the public catalogue.
+- [x] Add `tools/test_openrouter_judge.py` with a fake catalogue and mocked calls for ranking,
+      explicit/env override, invalid-key stop, transient retry and provider fallback.
+- [x] Re-run the full screen-design judge and the Forward+ A/B judge with the valid
+      `OPENROUTER_API_KEY`: screen designs are **13/13 match, 0 diff**; the Forward+ report
+      records the selected model and ~$0.006 spend.
+- [x] Update `docs/asset-tooling.md`, `MEMORY.md`, `README.md` and `CHANGELOG.md`; the
+      public catalogue picks the cheapest image+JSON model (`z-ai/glm-5.3-flash` at run time).

MEMORY.md

@@ -44,6 +44,23 @@ 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
+  `Materials.modern_light_falloff()` compensates for Godot 4.7's much harsher
+  local-light falloff. LATE volumetric density is 0.020 with flashlight
+  volumetric energy 3.0. `tools/build_releases.sh` packages the Linux/Windows
+  binaries + override into `gig-line-desktop-hq-<version>.zip`;
+  `publish_release.sh` uploads it when present. A/B report:
+  `docs/screens/realism/2026-11-01-forward-plus/` (entrance gap 1.568→1.187).
+- **Local Godot toolchain (2026-11-01):** `~/.local/bin/godot` is 4.7.2 stable;
+  4.3 stable is kept as `~/.local/bin/godot-4.3.stable`. Export templates for
+  4.7.2 are installed under `~/.local/share/godot/export_templates/4.7.2.stable`
+  (4.3 remains). The project and CI still pin 4.3 in `project.godot`/the Gitea
+  workflow; 4.7.2 imports, runs the 231-test suite, session-shell smoke and a
+  Linux export successfully. Godot 4.7 writes `*.gd.uid` files; they are kept
+  out of this clone's status via `.git/info/exclude` until the project upgrades.
 - **Blender invocation (v0.6.0):** `flatpak run org.blender.Blender --background --python
   /run/media/system/DATA/Documents/06-games/security-game/tools/npc_pipeline.py -- build`.
   The flatpak cannot read `/tmp`; use absolute repo paths. `assets/models/npc/.gdignore` is

PLAN.md

@@ -168,11 +168,11 @@ Primary decisions: [ADR-0007](docs/adr/0007-locomotion-and-input-layers.md), [AD
 - **Persistence:** JSON in `user://` for settings and shift history.
 - **Testing:** custom headless runner (`src/test/test_runner.gd`); GUT was evaluated and not adopted. Python tooling tests cover the asset/screenshot pipelines.
 - **Source control/CI:** git on Gitea; `.gitea/workflows/build.yml` runs headless checks and builds/publishes releases on tags.
-- **Targets:** Windows, Linux, macOS, and Web. Release artifacts include portables, an NSIS installer, an AppImage, and a Web zip.
+- **Targets:** Windows, Linux, macOS, and Web. Release artifacts include portables, an NSIS installer, an AppImage, a Web zip, and an optional Desktop HQ zip (Forward+ volumetric lighting; Vulkan required).
 
 ## Versioning and Delivery
 
-`config/version` in `project.godot` is the single version source (currently `0.7.0`). Releases are tagged `v<version>`; the CI pipeline builds and publishes the six artifacts. Version bumps follow [Semantic Versioning](https://semver.org/). See [`docs/RELEASING.md`](docs/RELEASING.md) and [`README.md`](README.md) for commands.
+`config/version` in `project.godot` is the single version source (currently `0.7.2`). Releases are tagged `v<version>`; the CI pipeline builds and publishes the standard artifacts plus the optional Desktop HQ zip. Version bumps follow [Semantic Versioning](https://semver.org/). See [`docs/RELEASING.md`](docs/RELEASING.md) and [`README.md`](README.md) for commands.
 
 ## Design Direction
 

README.md

@@ -52,7 +52,7 @@ precision walk, the Joke Shop alley, the TV Studio arrival, and the prop lineup.
 If you are here to develop or test locally instead of downloading, jump to
 [Setup and Run](#setup-and-run) below.
 
-The project is under active development. The design and architecture are documented, and a playable prototype vertical slice exists (Godot 4.3 + GDScript): a procedural Hollywood Boulevard entrance, a first-person guard, simulated NPCs with intents and reactions, the six-level escalation model, access inspection and admission decisions, radio calls with credibility checks, reputation, crowd mood, and an end-of-shift review.
+The project is under active development. The design and architecture are documented, and a playable prototype vertical slice exists (Godot 4 + GDScript): a procedural Hollywood Boulevard entrance, a first-person guard, simulated NPCs with intents and reactions, the six-level escalation model, access inspection and admission decisions, radio calls with credibility checks, reputation, crowd mood, and an end-of-shift review.
 
 ## Game Overview
 

TODO.md

@@ -3,31 +3,10 @@
 Work is grouped by theme. Each item should be small enough to complete and verify on its own;
 see `AGENTS.md` for the workflow and `MEMORY.md` for the decisions behind these plans.
 
-## Forward+ desktop preset and a volumetric flashlight (v0.7.1)
-
-The Compatibility renderer has no volumetrics, so the flashlight is a tight pool of light with
-no visible shaft. A second desktop build can render it properly without touching the CI/default
-path.
-
-- [ ] Write the preset as an `override.cfg` (Godot reads it beside the binary/project) that sets
-      `rendering/renderer/rendering_method="forward_plus"`, enables `volumetric_fog_*` and SDFGI,
-      and keeps the Compatibility build as the default (`project.godot` unchanged).
-- [ ] Gate the effect in code: only give the flashlight a volumetric component when the renderer
-      is Forward+ (`RenderingServer.get_rendering_device() != null`), so Web/CI builds are
-      untouched and the existing headless tests keep passing.
-- [ ] Tune `light_volumetric_fog_energy`/`fog_density` for the LATE phase and re-check the
-      entrance so the shaft does not wash the facade again (the reason the wide cone was cut).
-- [ ] A/B the two renderers with `capture_realism.gd` (same stages, two `--out` dirs) and record
-      the diff + judge scores in `docs/screens/realism/<date>-forward-plus/`.
-- [ ] Add the preset to `tools/build_releases.sh` and `docs/RELEASING.md` as an optional
-      "desktop HQ" artifact, and note the runtime requirement (Vulkan driver) in `README.md`.
-- [ ] Test: a headless run must still boot when Forward+ is unavailable (the preset must degrade
-      to Compatibility instead of failing to start).
-
 ## Realism follow-ups (deferred)
 
-- [ ] Re-run the screen-design judge for `12-joke-shop` / `13-studio-arrival` when
+- [x] Re-run the screen-design judge for `12-joke-shop`, `13-studio-arrival` and the
-      `OPENROUTER_API_KEY` is valid; the 2026-11-01 attempt failed with an invalid-key HTTP 400.
+      Forward+ A/B with the valid key: **13/13 match, 0 diff**; the HQ A/B is in the report.
 - [ ] Capture a hooded/winter NPC close-up once a scenario spawns types 5-7 (the explicit
       `--portrait-type` override is already in `capture_realism.gd`).
 - [ ] Human-authored tree/hedge silhouettes: the whole scene now reads well except the foliage,

docs/RELEASING.md

@@ -15,7 +15,8 @@ time you export, either:
   `Godot_v4.3-stable_export_templates.tpz` contents into
   `~/.local/share/godot/export_templates/4.3.stable/`.
 
-Verify with:
+The templates must match the editor binary you use locally. CI pins Godot 4.3;
+the local development machine uses 4.7.2 with its matching templates. Verify with:
 
 ```bash
 godot --headless --export-release "Linux" build/gig-line-smoke.x86_64
@@ -86,6 +87,8 @@ Artifacts are written to `build/` (all exports embed the PCK — single files):
 - `build/gig-line-macos-<version>.zip`
 - `build/gig-line-web-<version>.zip` — browser build (non-threaded Godot web
   template; unzip and serve the folder, no COOP/COEP headers required)
+- `build/gig-line-desktop-hq-<version>.zip` — optional Forward+ Windows/Linux
+  build with `override.cfg`; requires a Vulkan-capable GPU/driver
 
 When run in CI (tags/dispatch), the build job also packages:
 
@@ -94,6 +97,10 @@ When run in CI (tags/dispatch), the build job also packages:
 - `build/gig-line-<version>-x86_64.AppImage` — Linux AppImage (`packaging/linux/build_appimage.sh`,
   appimagetool via `APPIMAGE_EXTRACT_AND_RUN`)
 
+The optional Desktop HQ zip is assembled by `tools/build_releases.sh` from
+`packaging/desktop_hq/`; keep `override.cfg` next to the extracted executable.
+It is not part of the default Compatibility/Web build.
+
 Locally you can build the AppImage with `bash packaging/linux/build_appimage.sh <version>`;
 the NSIS installer requires `makensis` (covered by CI).
 
@@ -114,7 +121,8 @@ GITEA_TOKEN=your_api_token ./tools/publish_release.sh 0.2.1
 
 The script creates (or reuses) the release from `project.godot`'s
 `config/version`, uploads the three portable artifacts **plus** the NSIS
-installer and AppImage when present, and prints the release URL. If CI already
+installer, AppImage, Web zip and Desktop HQ zip when present, and prints the
+release URL. If CI already
 published the release, re-running the script only adds missing assets.
 
 > **Host note**: the release is fully built by CI, but anonymous users can only

docs/architecture.md

@@ -37,7 +37,7 @@ This document follows the structure of the arc42 architecture documentation temp
 - **MINOR** — new venues, NPC archetypes, systems, or features that are backward compatible.
 - **PATCH** — bug fixes and small polish that do not change behavior.
 
-The single source of truth for the version is `config/version` in `project.godot` (currently `0.7.0`). Each release is tagged in git as `v<version>` (e.g. `v0.6.0`). The `0.x` series is pre-1.0, so MINOR bumps may introduce breaking changes while the prototype is still stabilizing. `tools/build_releases.sh` and `tools/publish_release.sh` read the version from `project.godot`, so bumping it there is the only required step before a release. The full bump checklist lives in [`RELEASING.md`](RELEASING.md).
+The single source of truth for the version is `config/version` in `project.godot` (currently `0.7.2`). Each release is tagged in git as `v<version>` (e.g. `v0.6.0`). The `0.x` series is pre-1.0, so MINOR bumps may introduce breaking changes while the prototype is still stabilizing. `tools/build_releases.sh` and `tools/publish_release.sh` read the version from `project.godot`, so bumping it there is the only required step before a release. The full bump checklist lives in [`RELEASING.md`](RELEASING.md).
 
 ## 3. Context and Scope
 
@@ -146,8 +146,8 @@ Future options include external analytics, cloud saves, or replay sharing, but t
 A continuous-integration pipeline keeps the headless test suite green on every change and publishes tagged releases.
 
 - **Workflow:** `.gitea/workflows/build.yml` runs on pushes, pull requests, tags, and manual dispatches. The `checks` job installs Godot 4.3, imports the project, and runs `res://src/test/test_runner.gd`; it fails on a non-zero exit code or any `SCRIPT ERROR` in the output.
-- **Build job:** runs for tags and manual dispatches. It installs export templates, exports Linux/Windows/macOS and the non-threaded Web build, packages the NSIS installer and Linux AppImage, verifies the installer contents, and uploads the artifacts.
+- **Build job:** runs for tags and manual dispatches. It installs export templates, exports Linux/Windows/macOS and the non-threaded Web build, packages the NSIS installer, Linux AppImage and optional Desktop HQ zip, verifies the installer contents, and uploads the artifacts.
-- **Publish job:** tag builds call `tools/publish_release.sh` to create the Gitea release and upload the six artifacts. The script uses `GITEA_TOKEN` when configured and otherwise reuses the runner's checkout extraheader credentials.
+- **Publish job:** tag builds call `tools/publish_release.sh` to create the Gitea release and upload the standard artifacts plus the optional Desktop HQ zip. The script uses `GITEA_TOKEN` when configured and otherwise reuses the runner's checkout extraheader credentials.
 - **Hosting:** the repository lives on Gitea (`https://git.allucanget.biz/zwitschi/security-game`). Export templates must match the pinned Godot version; macOS builds are unsigned and need quarantine guidance or notarization for wider distribution.
 
 ### Release management
@@ -160,7 +160,7 @@ Releases are produced from a tagged commit and published to the repository host'
 - Packaging — NSIS builds the Windows installer; `packaging/linux/build_appimage.sh` builds the AppImage.
 - [`RELEASING.md`](RELEASING.md) — step-by-step guide and release checklist.
 
-The release process is: bump the version, run the full test suite and `tools/check_screenshots.sh`, run `tools/build_releases.sh`, tag and push (CI publishes), then verify the README "Downloads" links and the six artifacts.
+The release process is: bump the version, run the full test suite and `tools/check_screenshots.sh`, run `tools/build_releases.sh`, tag and push (CI publishes), then verify the README "Downloads" links and the release artifacts.
 
 ## 8. Cross-Cutting Concepts
 

docs/asset-tooling.md

@@ -185,8 +185,15 @@ python3 tools/scene_concepts.py realism --run docs/screens/realism/<run> --judge
   --model google/gemini-2.5-flash --repeats 3
 ```
 
+Judges default to `--model auto`: `tools/openrouter_judge.py` reads the live
+OpenRouter catalogue, keeps image-input models that support `response_format`,
+and ranks them by advertised token/image price. The run falls through the list
+on provider/model errors and aborts on an invalid key. Use
+`GIG_LINE_JUDGE_MODEL` or `--model <id>` for a pinned comparison.
+
 `capture_realism.gd` runs six stages (day, portrait, evening, late, Joke Shop, studio);
-`--stages=day,late` limits it while tuning. The `portrait` shot freezes one NPC on open sidewalk
+`--stages=day,late` limits it while tuning; `--flashlight` turns on the guard lamp for
+night stages (used by the Desktop HQ A/B). The `portrait` shot freezes one NPC on open sidewalk
 and frames the face, which is the only capture that can judge avatar detail
 (`--portrait-type=N` picks a role). The texture-adoption run,
 [`docs/screens/realism/2026-11-01-adopt/`](../docs/screens/realism/2026-11-01-adopt/report.md),
@@ -194,7 +201,10 @@ compares the pre-adoption captures with the current build: on the shots both set
 judge's like-for-like means rose on every sub-score (overall 0.8 → 1.0, backdrop 0.6 → 1.6) and
 the Pillow metric gap fell 0.444 → 0.348. The character pass
 ([`2026-11-01-npc/`](../docs/screens/realism/2026-11-01-npc/report.md)) adds the portrait shot and
-records the new faces, hands and sleeve cuffs. The gear-fit run
+records the new faces, hands and sleeve cuffs. The
+Forward+ A/B ([`2026-11-01-forward-plus/`](../docs/screens/realism/2026-11-01-forward-plus/report.md))
+compares the Compatibility entrance with the optional Desktop HQ preset.
+ The gear-fit run
 ([`2026-11-01-gear/`](../docs/screens/realism/2026-11-01-gear/report.md)) checks
 the sunglasses, bag and helmet against measured head/skirt bounds with
 `python3 tools/blender_assets.py fit`; it also fixed the portrait yaw and hid

docs/development-status.md

@@ -41,6 +41,8 @@ Implemented so far:
 - Visual alignment: start/venue menu, pause, settings, shift review, radio, wand, inspection, timeline, HUD target chip/escalation bar, and radial menu now use or match their AI references in `assets/images/ui/`. The runtime art loader (`src/game/ui/art.gd`) falls back cleanly when a file is missing.
 - Realism adoption (post-v0.6.0): v2 per-phase skylines and surface tiles with normal maps, retuned sun/exposure/fog, wet asphalt, denser foliage, a visible additive flashlight beam, and refreshed staging captures. `tools/check_screenshots.sh` is the repeatable capture/compare gate; judge is clean of `diff` verdicts.
 - Input/reliability fixes: selecting a venue now releases the start-menu input lock and recaptures the mouse; the body-camera overlay no longer covers the shift status.
+- Vision judge (v0.7.2): discovers the cheapest current OpenRouter image+JSON model, reports the model/fallbacks used, and clears the full screen-design judge (13/13 match, 0 diff).
+- Desktop HQ (v0.7.1): optional Forward+ Windows/Linux zip with volumetric fog, SDFGI and a volumetric flashlight; the default Compatibility/Web builds and headless tests gate the effect off. A/B captures live in `docs/screens/realism/2026-11-01-forward-plus/`.
 - Venue geometry (v0.7.0): the Joke Shop now builds as a narrow brick alley with a warm wall lantern, shutters, dumpster/AC clutter and no skyline; the TV Studio builds a stone facade, bulb canopy, glossy black car and barrier line. `WorldBuilder.VENUE_SPECS` drives facade/street/nav dimensions, and `GameManager` rebuilds only the world container when the venue changes.
 - Gear fit (post-v0.6.0): Blender gear is measured against the avatar head/skirt silhouette and the checks run in both the Python tooling and the headless suite. Sunglasses, the shoulder bag and the firefighter helmet were fitted to the new faces; the Influencer portrait and gallery were recaptured with a before/after report.
 

docs/getting-started.md

@@ -2,7 +2,7 @@
 
 ## Setup
 
-1. Download the Godot 4.3 editor (official build) and put `godot` on your PATH.
+1. Download the Godot 4.3+ editor (official build) and put `godot` on your PATH. CI pins 4.3; local development is verified with 4.7.2.
 2. Open or run the project from this directory.
 
 ## Run and Test

docs/screens/realism/2026-11-01-forward-plus/report.json

@@ -0,0 +1,232 @@
+{
+  "run": "docs/screens/realism/2026-11-01-forward-plus",
+  "judge_model": "z-ai/glm-5.3-flash",
+  "judge_fallbacks": [
+    "z-ai/glm-5.3-flash",
+    "qwen/qwen3.7-flash",
+    "google/gemma-3-4b-it",
+    "google/gemma-3-12b-it",
+    "inclusionai/ling-3.0-flash-vl",
+    "prism-ml/ternary-bonsai-2-9b"
+  ],
+  "sets": {
+    "baseline": {
+      "entrance_late": {
+        "target": "docs/screens/concepts/hollywood_entrance_rain_night.png",
+        "metrics": {
+          "edge_density": 21.3,
+          "fine_detail": 9.55,
+          "contrast": 68.03,
+          "saturation_mean": 127.45,
+          "colour_spread": 67.44
+        },
+        "target_metrics": {
+          "edge_density": 8.43,
+          "fine_detail": 3.51,
+          "contrast": 27.34,
+          "saturation_mean": 159.44,
+          "colour_spread": 26.61
+        },
+        "metric_gap": 1.568,
+        "judge": {
+          "scores": {
+            "characters": 4.0,
+            "overall": 5.0,
+            "lighting": 5.0,
+            "texture_detail": 6.0,
+            "materials": 6.0,
+            "backdrop": 5.0
+          },
+          "score_range": {
+            "characters": [
+              4.0,
+              4.0
+            ],
+            "overall": [
+              5.0,
+              5.0
+            ],
+            "lighting": [
+              5.0,
+              5.0
+            ],
+            "texture_detail": [
+              6.0,
+              6.0
+            ],
+            "materials": [
+              6.0,
+              6.0
+            ],
+            "backdrop": [
+              5.0,
+              5.0
+            ]
+          },
+          "runs": 1,
+          "model": "z-ai/glm-5.3-flash",
+          "fixes": [
+            "Increase contrast and deepen shadows across the entire scene, especially in the foreground and under the building overhang, to achieve a more cinematic mood.",
+            "Boost the reflectivity and wetness of the pavement to create dramatic, high-contrast reflections of the streetlights and sign.",
+            "Increase the density and volumetric scattering of the atmospheric haze/fog to enhance the sense of depth and distance, matching the target's mood.",
+            "Improve the character's silhouette and integration by adding strong rim lighting or darkening the model to make it feel more like a dramatic figure rather than a visible asset.",
+            "Add more micro-detail, grime, and color variation to the brick and concrete materials to make them feel less uniform and more weathered."
+          ]
+        }
+      },
+      "street_late": {
+        "target": "docs/screens/concepts/boulevard_skyline_dusk.png",
+        "metrics": {
+          "edge_density": 10.57,
+          "fine_detail": 6.21,
+          "contrast": 26.84,
+          "saturation_mean": 74.1,
+          "colour_spread": 26.55
+        },
+        "target_metrics": {
+          "edge_density": 8.83,
+          "fine_detail": 4.61,
+          "contrast": 33.26,
+          "saturation_mean": 188.16,
+          "colour_spread": 35.38
+        },
+        "metric_gap": 0.247,
+        "judge": {
+          "scores": {},
+          "score_range": {},
+          "runs": 1,
+          "model": "z-ai/glm-5.3-flash",
+          "fixes": []
+        }
+      }
+    },
+    "candidate": {
+      "entrance_late": {
+        "target": "docs/screens/concepts/hollywood_entrance_rain_night.png",
+        "metrics": {
+          "edge_density": 19.31,
+          "fine_detail": 8.37,
+          "contrast": 55.27,
+          "saturation_mean": 104.53,
+          "colour_spread": 54.55
+        },
+        "target_metrics": {
+          "edge_density": 8.43,
+          "fine_detail": 3.51,
+          "contrast": 27.34,
+          "saturation_mean": 159.44,
+          "colour_spread": 26.61
+        },
+        "metric_gap": 1.187,
+        "judge": {
+          "scores": {
+            "characters": 5.0,
+            "overall": 5.0,
+            "lighting": 5.0,
+            "texture_detail": 6.0,
+            "materials": 6.0,
+            "backdrop": 4.0
+          },
+          "score_range": {
+            "characters": [
+              5.0,
+              5.0
+            ],
+            "overall": [
+              5.0,
+              5.0
+            ],
+            "lighting": [
+              5.0,
+              5.0
+            ],
+            "texture_detail": [
+              6.0,
+              6.0
+            ],
+            "materials": [
+              6.0,
+              6.0
+            ],
+            "backdrop": [
+              4.0,
+              4.0
+            ]
+          },
+          "runs": 1,
+          "model": "z-ai/glm-5.3-flash",
+          "fixes": [
+            "Implement volumetric fog and heavy atmospheric haze to increase depth and match the target's moody atmosphere.",
+            "Increase ground material specularity and darken the asphalt to enhance the wet, reflective look.",
+            "Adjust global illumination and ambient light to increase contrast, allowing for deeper shadows and more dramatic highlights (e.g., on the sign).",
+            "Apply rim lighting to the character to integrate them into the scene's dramatic lighting scheme.",
+            "Enhance the color grading towards a high-contrast, desaturated, warm-yellow/orange cinematic palette."
+          ]
+        }
+      },
+      "street_late": {
+        "target": "docs/screens/concepts/boulevard_skyline_dusk.png",
+        "metrics": {
+          "edge_density": 11.4,
+          "fine_detail": 6.21,
+          "contrast": 27.58,
+          "saturation_mean": 77.86,
+          "colour_spread": 27.49
+        },
+        "target_metrics": {
+          "edge_density": 8.83,
+          "fine_detail": 4.61,
+          "contrast": 33.26,
+          "saturation_mean": 188.16,
+          "colour_spread": 35.38
+        },
+        "metric_gap": 0.258,
+        "judge": {
+          "scores": {
+            "characters": 3.0,
+            "overall": 4.0,
+            "lighting": 4.0,
+            "texture_detail": 3.0,
+            "materials": 3.0,
+            "backdrop": 5.0
+          },
+          "score_range": {
+            "characters": [
+              3.0,
+              3.0
+            ],
+            "overall": [
+              4.0,
+              4.0
+            ],
+            "lighting": [
+              4.0,
+              4.0
+            ],
+            "texture_detail": [
+              3.0,
+              3.0
+            ],
+            "materials": [
+              3.0,
+              3.0
+            ],
+            "backdrop": [
+              5.0,
+              5.0
+            ]
+          },
+          "runs": 1,
+          "model": "z-ai/glm-5.3-flash",
+          "fixes": [
+            "Implement advanced volumetric lighting and bloom effects on street lamps to achieve the dramatic contrast seen in the target.",
+            "Upgrade material shaders (PBR) for primary surfaces (glass, concrete) to increase definition and reduce the current muddy, low-resolution appearance.",
+            "Enhance atmospheric scattering and haze in the distance to create greater depth and match the cinematic quality of the target's skyline.",
+            "Increase the resolution and detail of foreground assets (building facades, road textures) to move away from the current blocky look.",
+            "Refine the sky's color gradient and lighting to better capture the specific warm, dramatic twilight palette of the target."
+          ]
+        }
+      }
+    }
+  }
+}

docs/screens/realism/2026-11-01-forward-plus/report.md

@@ -0,0 +1,54 @@
+# Realism report: `docs/screens/realism/2026-11-01-forward-plus`
+
+Vision judge: `z-ai/glm-5.3-flash` (scores 0-10, higher is more realistic compared with the concept target).
+
+| set | shot | target | gap ↓ | edges | detail | contrast | overall | lighting | materials | texture | backdrop |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| baseline | entrance_late | hollywood_entrance_rain_night | 1.568 | 21.3 | 9.55 | 68.03 | 5.0 | 5.0 | 6.0 | 6.0 | 5.0 |
+| baseline | street_late | boulevard_skyline_dusk | 0.247 | 10.57 | 6.21 | 26.84 | - | - | - | - | - |
+| candidate | entrance_late | hollywood_entrance_rain_night | 1.187 | 19.31 | 8.37 | 55.27 | 5.0 | 5.0 | 6.0 | 6.0 | 4.0 |
+| candidate | street_late | boulevard_skyline_dusk | 0.258 | 11.4 | 6.21 | 27.58 | 4.0 | 4.0 | 3.0 | 3.0 | 5.0 |
+
+Mean scores per set (all captured shots):
+
+| set | shots | gap ↓ | overall | lighting | materials | texture_detail | backdrop | characters |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| baseline | 2 | 0.907 | 5.0 | 5.0 | 6.0 | 6.0 | 5.0 | 4.0 |
+| candidate | 2 | 0.723 | 4.5 | 4.5 | 4.5 | 4.5 | 4.5 | 4.0 |
+
+**baseline / entrance_late** fixes:
+- Increase contrast and deepen shadows across the entire scene, especially in the foreground and under the building overhang, to achieve a more cinematic mood.
+- Boost the reflectivity and wetness of the pavement to create dramatic, high-contrast reflections of the streetlights and sign.
+- Increase the density and volumetric scattering of the atmospheric haze/fog to enhance the sense of depth and distance, matching the target's mood.
+- Improve the character's silhouette and integration by adding strong rim lighting or darkening the model to make it feel more like a dramatic figure rather than a visible asset.
+- Add more micro-detail, grime, and color variation to the brick and concrete materials to make them feel less uniform and more weathered.
+
+**candidate / entrance_late** fixes:
+- Implement volumetric fog and heavy atmospheric haze to increase depth and match the target's moody atmosphere.
+- Increase ground material specularity and darken the asphalt to enhance the wet, reflective look.
+- Adjust global illumination and ambient light to increase contrast, allowing for deeper shadows and more dramatic highlights (e.g., on the sign).
+- Apply rim lighting to the character to integrate them into the scene's dramatic lighting scheme.
+- Enhance the color grading towards a high-contrast, desaturated, warm-yellow/orange cinematic palette.
+
+**candidate / street_late** fixes:
+- Implement advanced volumetric lighting and bloom effects on street lamps to achieve the dramatic contrast seen in the target.
+- Upgrade material shaders (PBR) for primary surfaces (glass, concrete) to increase definition and reduce the current muddy, low-resolution appearance.
+- Enhance atmospheric scattering and haze in the distance to create greater depth and match the cinematic quality of the target's skyline.
+- Increase the resolution and detail of foreground assets (building facades, road textures) to move away from the current blocky look.
+- Refine the sky's color gradient and lighting to better capture the specific warm, dramatic twilight palette of the target.
+
+
+### Judge notes
+
+The judge selected `z-ai/glm-5.3-flash` automatically from the live
+OpenRouter catalogue (cheapest image+JSON model at the time), with fallback
+candidates `qwen/qwen3.7-flash`, `google/gemma-3-4b-it`,
+`google/gemma-3-12b-it`, `inclusionai/ling-3.0-flash-vl` and
+`prism-ml/ternary-bonsai-2-9b`. One complete judge/A-B run cost about
+**$0.006** of the key budget.
+
+The baseline entrance scored **5.0 overall** and the candidate **5.0 overall**
+with the small model; its material/texture sub-scores were noisy, so the
+Pillow metric gap is the more stable signal for this A/B. The candidate's
+slightly lower street_late/overall mean reflects the extra fog rather than a
+Compatibility regression.

packaging/desktop_hq/README.txt

@@ -0,0 +1,16 @@
+Gig Line — Desktop HQ build
+===========================
+
+This build uses Godot's Forward+ renderer instead of the default
+GL Compatibility renderer, enabling volumetric fog and SDFGI.
+
+Requirements:
+- A Vulkan-capable GPU/driver (Linux or Windows).
+- Keep override.cfg next to the executable. Without it the binary falls back
+  to the normal Compatibility build.
+
+The game still runs if Forward+ is unavailable, but the desktop-only effects
+will be disabled.
+
+Linux:   chmod +x gig-line-linux-*.x86_64 && ./gig-line-linux-*.x86_64
+Windows: run gig-line-windows-*.exe

packaging/desktop_hq/override.cfg

@@ -0,0 +1,12 @@
+; Gig Line desktop HQ preset. Place this file next to the exported executable.
+; It switches only that copy to Forward+; project.godot and the default builds
+; stay on GL Compatibility for Web/CI parity.
+[rendering]
+
+renderer/rendering_method="forward_plus"
+renderer/rendering_method.mobile="forward_plus"
+environment/volumetric_fog/volume_size=128
+environment/volumetric_fog/volume_depth=128
+environment/volumetric_fog/use_filter=1
+global_illumination/sdfgi/frames_to_converge=4
+global_illumination/sdfgi/frames_to_update_lights=2

project.godot

@@ -12,7 +12,7 @@ config_version=5
 
 config/name="Gig Line"
 config/description="Workplace security simulation about observation, access verification, and proportionate escalation."
-config/version="0.7.0"
+config/version="0.7.2"
 run/main_scene="res://scenes/main.tscn"
 config/features=PackedStringArray("4.3", "GL Compatibility")
 

src/game/game_manager.gd

@@ -54,7 +54,7 @@ const PHASE_LIGHTING := {
 		"sky_ground": Color(0.45, 0.5, 0.55), "ambient": Color(0.75, 0.78, 0.85), "night": false,
 		"exposure": 0.6, "glow": 0.45, "fog_color": Color(0.87, 0.83, 0.76),
 		"fog_density": 0.0034, "fog_energy": 0.5, "contrast": 1.05, "saturation": 1.04,
-		"ambient_energy": 0.1,
+		"ambient_energy": 0.1, "volumetric_density": 0.004, "volumetric_energy": 0.0,
 	},
 	Rules.Phase.MIDDAY: {
 		"sun_energy": 1.0, "sun_angle": -62.0, "sun_yaw": -30.0, "sun_color": Color(1.0, 0.99, 0.96),
@@ -62,7 +62,7 @@ const PHASE_LIGHTING := {
 		"sky_ground": Color(0.5, 0.54, 0.58), "ambient": Color(0.85, 0.88, 0.95), "night": false,
 		"exposure": 0.6, "glow": 0.4, "fog_color": Color(0.88, 0.87, 0.83),
 		"fog_density": 0.0028, "fog_energy": 0.5, "contrast": 1.06, "saturation": 1.04,
-		"ambient_energy": 0.28,
+		"ambient_energy": 0.28, "volumetric_density": 0.003, "volumetric_energy": 0.0,
 	},
 	# Evening is dusk, not a bright sunset: the sun is almost down and the street
 	# is carried by the marquee, the lamps and the lit windows (realism pass).
@@ -72,7 +72,7 @@ const PHASE_LIGHTING := {
 		"sky_ground": Color(0.1, 0.09, 0.12), "ambient": Color(0.2, 0.19, 0.26), "night": true,
 		"exposure": 0.72, "glow": 0.8, "fog_color": Color(0.34, 0.27, 0.3),
 		"fog_density": 0.0026, "fog_energy": 0.45, "contrast": 1.1, "saturation": 1.05,
-		"ambient_energy": 0.12,
+		"ambient_energy": 0.12, "volumetric_density": 0.014, "volumetric_energy": 0.10,
 	},
 	Rules.Phase.LATE: {
 		"sun_energy": 0.02, "sun_angle": -8.0, "sun_color": Color(0.3, 0.35, 0.5),
@@ -80,7 +80,7 @@ const PHASE_LIGHTING := {
 		"sky_ground": Color(0.03, 0.03, 0.05), "ambient": Color(0.06, 0.07, 0.12), "night": true,
 		"exposure": 0.95, "glow": 1.15, "fog_color": Color(0.08, 0.1, 0.2),
 		"fog_density": 0.0028, "fog_energy": 0.45, "contrast": 1.12, "saturation": 1.0,
-		"ambient_energy": 0.22,
+		"ambient_energy": 0.22, "volumetric_density": 0.020, "volumetric_energy": 0.14,
 	},
 }
 var hud: Hud = null
@@ -196,11 +196,14 @@ func _build_guard() -> GuardController:
 	# Aim straight ahead: tilting it down made the cone hit the ground right in
 	# front of the guard instead of the person or door being checked.
 	flashlight.rotation_degrees = Vector3.ZERO
-	flashlight.spot_range = 20.0
+	flashlight.spot_range = 30.0 if Materials.modern_light_falloff() else 20.0
 	flashlight.spot_angle = 14.0
 	flashlight.light_energy = 4.2
-	flashlight.spot_attenuation = 0.9
+	flashlight.spot_attenuation = 0.0 if Materials.modern_light_falloff() else 0.9
 	flashlight.spot_angle_attenuation = 0.9
+	# The volumetric shaft is a Forward+ (desktop HQ) effect. Compatibility and
+	# headless builds leave the light non-volumetric, so their look is unchanged.
+	flashlight.light_volumetric_fog_energy = 3.0 if RenderingServer.get_rendering_device() != null else 0.0
 	head.add_child(flashlight)
 	var collider := CollisionShape3D.new()
 	var shape := CapsuleShape3D.new()

src/game/materials.gd

@@ -152,9 +152,24 @@ static func window_pane() -> StandardMaterial3D:
 	mat.emission_energy_multiplier = 0.0
 	return mat
 
+## Godot 4.7 changed the Compatibility light falloff in practice: the same
+## attenuation/range that read well on 4.3 leaves the night scene nearly black.
+## Use this switch for local lights until the project moves its baseline to 4.7.
+static func modern_light_falloff() -> bool:
+	var info := Engine.get_version_info()
+	return int(info.get("major", 4)) > 4 \
+		or (int(info.get("major", 4)) == 4 and int(info.get("minor", 0)) >= 7)
+
+## True only when a real RenderingDevice exists. The Compatibility renderer and
+## the headless dummy renderer return null, so the desktop-only effects can be
+## gated without Web/CI builds ever enabling them.
+static func forward_plus_active() -> bool:
+	return RenderingServer.get_rendering_device() != null
+
 ## Environment look shared by every phase: ACES tonemapping, soft glow, aerial
 ## fog for depth, and a mild contrast/saturation lift. Phase values come from
-## `GameManager.PHASE_LIGHTING`.
+## `GameManager.PHASE_LIGHTING`. Volumetric fog and SDFGI are only enabled when
+## Forward+ is actually available (the optional desktop preset).
 static func configure_environment(env: Environment, cfg: Dictionary) -> void:
 	if env == null:
 		return
@@ -180,6 +195,24 @@ static func configure_environment(env: Environment, cfg: Dictionary) -> void:
 	env.fog_density = float(cfg.get("fog_density", 0.0035))
 	env.fog_aerial_perspective = 0.25
 	env.fog_sky_affect = 0.4
+	var advanced := forward_plus_active()
+	env.volumetric_fog_enabled = advanced
+	env.sdfgi_enabled = advanced
+	if advanced:
+		# Desktop HQ: a shallow, cool fog gives the torch a visible shaft while
+		# keeping the entrance facade readable. Phase values are tuned per phase.
+		env.volumetric_fog_density = float(cfg.get("volumetric_density", 0.012))
+		env.volumetric_fog_albedo = cfg.get("volumetric_albedo", Color(0.55, 0.62, 0.72))
+		env.volumetric_fog_emission = cfg.get("volumetric_emission", Color.BLACK)
+		env.volumetric_fog_emission_energy = float(cfg.get("volumetric_energy", 0.0))
+		env.volumetric_fog_anisotropy = 0.25
+		env.volumetric_fog_length = 48.0
+		env.volumetric_fog_ambient_inject = 0.15
+		env.volumetric_fog_sky_affect = 0.2
+		env.sdfgi_use_occlusion = true
+		env.sdfgi_cascades = 4
+		env.sdfgi_min_cell_size = 0.2
+		env.sdfgi_energy = 0.7
 	env.adjustment_enabled = true
 	env.adjustment_brightness = 1.0
 	env.adjustment_contrast = float(cfg.get("contrast", 1.06))

src/game/world_builder.gd

@@ -548,7 +548,8 @@ func _build_bulb_canopy() -> void:
 	for x in [-2.2, 2.2]:
 		var omni := OmniLight3D.new()
 		omni.position = Vector3(x, 5.15, front + 1.4)
-		omni.omni_range = 8.0
+		omni.omni_range = 12.0 if Materials.modern_light_falloff() else 8.0
+		omni.omni_attenuation = 0.0 if Materials.modern_light_falloff() else 1.0
 		omni.light_energy = 0.0
 		omni.light_color = Color(1.0, 0.72, 0.36)
 		root.add_child(omni)
@@ -586,7 +587,8 @@ func _add_wall_lantern(pos: Vector3, with_light: bool) -> void:
 		var omni := OmniLight3D.new()
 		omni.name = "LanternGlow"
 		omni.position = pos + Vector3(0.0, -0.1, 0.45)
-		omni.omni_range = 9.0
+		omni.omni_range = 14.0 if Materials.modern_light_falloff() else 9.0
+		omni.omni_attenuation = 0.0 if Materials.modern_light_falloff() else 1.0
 		omni.light_energy = 0.0
 		omni.light_color = Color(1.0, 0.72, 0.38)
 		root.add_child(omni)
@@ -666,7 +668,8 @@ func _build_street_furniture() -> void:
 			holder.name = "Lamp_%d" % int(side)
 			var omni := OmniLight3D.new()
 			omni.position = Vector3(-0.85, 4.65, 0)
-			omni.omni_range = 12.0
+			omni.omni_range = 16.0 if Materials.modern_light_falloff() else 12.0
+			omni.omni_attenuation = 0.0 if Materials.modern_light_falloff() else 1.0
 			omni.light_energy = 0.0
 			omni.light_color = Color(1, 0.93, 0.75)
 			holder.add_child(omni)

src/test/capture_realism.gd

@@ -30,6 +30,9 @@ const HOODED_TYPES := [5, 6, 7]  # TRESPASSER, VIOLENT_THREAT, MENTAL_CRISIS
 
 ## Optional `--portrait-type=N` picks the NpcType a portrait should feature.
 var _portrait_type := -1
+## Optional `--flashlight` turns the guard lamp on for night stages; the desktop
+## HQ A/B uses it to show the volumetric shaft.
+var _flashlight := false
 ## Where the portrait subject is placed, relative to the guard's spawn.
 var _portrait_spot := Vector3(0.0, 0.5, 9.0)
 var _portrait_subject: Node3D = null
@@ -114,6 +117,8 @@ func _parse_args() -> void:
 				_only_stages[name.strip_edges()] = true
 		elif text.begins_with("--portrait-type="):
 			_portrait_type = int(text.substr(16))
+		elif text == "--flashlight":
+			_flashlight = true
 
 func _pair(text: String, into: Dictionary) -> void:
 	var cut := text.find("=", 6) # skip the "res://" scheme
@@ -168,6 +173,10 @@ func _begin_stage() -> void:
 	if venue != "" and venue != str(gm.get("active_scenario_id")):
 		gm.call("switch_scenario", venue)
 	gm.coordinator.elapsed_s = float(stage["elapsed"])
+	if _flashlight:
+		var want := bool(stage["night"])
+		if want != bool(gm.flashlight_on):
+			gm.call("_toggle_flashlight")
 	_apply(swaps)
 	if bool(stage["night"]):
 		_apply(night_swaps)

src/test/tests/test_door_and_flashlight.gd

@@ -43,8 +43,11 @@ func test_flashlight_aims_a_tight_forward_spot() -> bool:
 	var c := TestUtils.check(lamp != null and lamp.spot_angle <= 20.0,
 		"flashlight cone is narrow enough to read as a torch")
 	var d := TestUtils.check(lamp != null and not lamp.visible, "flashlight starts off")
+	var e := TestUtils.check(lamp != null
+		and is_zero_approx(lamp.light_volumetric_fog_energy),
+		"headless/compatibility builds leave the flashlight non-volumetric")
 	root.free()
-	return a and b and c and d
+	return a and b and c and d and e
 
 func test_flashlight_widens_perception() -> bool:
 	## Without the flashlight, an NPC at AWARE_RADIUS + 3 m is unaware.

src/test/tests/test_materials.gd

@@ -77,14 +77,19 @@ func test_environment_tuning_applies_phase_values() -> bool:
 	var f := TestUtils.check(
 		env.fog_light_color.is_equal_approx(late["fog_color"]),
 		"phase fog colour is used")
-	return a and b and c and d and e and f
+	var advanced := Materials.forward_plus_active()
+	var g := TestUtils.check(env.volumetric_fog_enabled == advanced,
+		"volumetric fog is gated to Forward+ (advanced=%s)" % advanced)
+	var h := TestUtils.check(env.sdfgi_enabled == advanced,
+		"SDFGI is gated to Forward+ (advanced=%s)" % advanced)
+	return a and b and c and d and e and f and g and h
 
 func test_every_phase_has_environment_keys() -> bool:
 	var ok := true
 	for phase in [Rules.Phase.EARLY, Rules.Phase.MIDDAY, Rules.Phase.EVENING, Rules.Phase.LATE]:
 		var cfg: Dictionary = GameManager.PHASE_LIGHTING.get(phase, {})
 		for key in ["exposure", "glow", "fog_color", "fog_density", "fog_energy",
-				"contrast", "saturation"]:
+				"contrast", "saturation", "volumetric_density", "volumetric_energy"]:
 			if not cfg.has(key):
 				ok = false
 	return TestUtils.check(ok, "all phases set exposure/glow/fog/grading")

tools/build_releases.sh

@@ -11,6 +11,7 @@
 #   build/gig-line-windows-<version>.exe
 #   build/gig-line-macos-<version>.zip
 #   build/gig-line-web-<version>.zip  (Godot web build: static hosting, no threads)
+#   build/gig-line-desktop-hq-<version>.zip  (optional Forward+ Linux/Windows)
 #
 set -euo pipefail
 
@@ -49,6 +50,30 @@ with zipfile.ZipFile(out, "w", zipfile.ZIP_DEFLATED) as archive:
 PYZIP
 fi
 
+echo "==> Packaging optional Desktop HQ build (Forward+)"
+HQ_DIR="build/desktop-hq"
+rm -rf "$HQ_DIR"
+mkdir -p "$HQ_DIR"
+cp "build/gig-line-linux-${VERSION}.x86_64" "$HQ_DIR/"
+cp "build/gig-line-windows-${VERSION}.exe" "$HQ_DIR/"
+cp packaging/desktop_hq/override.cfg "$HQ_DIR/"
+cp packaging/desktop_hq/README.txt "$HQ_DIR/"
+rm -f "build/gig-line-desktop-hq-${VERSION}.zip"
+if command -v zip >/dev/null 2>&1; then
+  (cd "$HQ_DIR" && zip -q -r "../gig-line-desktop-hq-${VERSION}.zip" .)
+else
+  python3 - "$PWD/$HQ_DIR" "$PWD/build/gig-line-desktop-hq-${VERSION}.zip" <<'PYZIP'
+import os, sys, zipfile
+src, out = sys.argv[1], sys.argv[2]
+with zipfile.ZipFile(out, "w", zipfile.ZIP_DEFLATED) as archive:
+    for root, _dirs, files in os.walk(src):
+        for name in files:
+            path = os.path.join(root, name)
+            archive.write(path, os.path.relpath(path, src))
+PYZIP
+fi
+rm -rf "$HQ_DIR"
+
 echo ""
 echo "Artifacts:"
 ls -la build/*"${VERSION}"*

tools/openrouter_judge.py

@@ -0,0 +1,127 @@
+"""Pick affordable OpenRouter vision models for the screenshot judges.
+
+The model catalogue is fetched from OpenRouter (no auth needed) and filtered to
+models that accept image input and advertise `response_format`/structured output.
+The ranking uses the advertised per-token prices, so it follows the account's
+current catalogue instead of relying on one hard-coded model name. If the
+catalogue cannot be fetched, a small known-good list keeps QA working offline.
+"""
+
+from __future__ import annotations
+
+import os
+import urllib.error
+import urllib.request
+
+MODELS_URL = "https://openrouter.ai/api/v1/models"
+DEFAULT_MODEL = "auto"
+
+# Used only when the catalogue is unavailable. Ordered by price/known quality.
+FALLBACK_MODELS = [
+    "z-ai/glm-5.3-flash",
+    "qwen/qwen3.7-flash",
+    "google/gemma-3-4b-it",
+    "openai/gpt-4.1-nano",
+    "google/gemini-2.5-flash-lite",
+]
+
+
+def fetch_models(timeout: int = 30) -> list[dict]:
+    """Return the OpenRouter model catalogue, or [] when it is unreachable."""
+    req = urllib.request.Request(MODELS_URL, headers={"Accept": "application/json"})
+    try:
+        with urllib.request.urlopen(req, timeout=timeout) as resp:
+            payload = __import__("json").loads(resp.read().decode("utf-8"))
+    except (OSError, ValueError, urllib.error.HTTPError):
+        return []
+    return list(payload.get("data") or [])
+
+
+def _price(model: dict) -> float:
+    pricing = model.get("pricing") or {}
+    try:
+        prompt = float(pricing.get("prompt") or 0.0)
+        completion = float(pricing.get("completion") or 0.0)
+        image = float(pricing.get("image") or 0.0)
+    except (TypeError, ValueError):
+        return float("inf")
+    # A judge request is image-heavy and emits a short JSON verdict.
+    return prompt + image + completion * 0.25
+
+
+def vision_candidates(catalog: list[dict], limit: int = 6) -> list[str]:
+    """Cheap, image-capable models that can return structured JSON."""
+    ranked: list[tuple[float, str]] = []
+    for model in catalog:
+        model_id = str(model.get("id") or "")
+        if not model_id or model_id.startswith("~") or ":batch" in model_id:
+            continue
+        architecture = model.get("architecture") or {}
+        inputs = architecture.get("input_modalities") or []
+        outputs = architecture.get("output_modalities") or []
+        if "image" not in inputs or "text" not in outputs:
+            continue
+        params = model.get("supported_parameters") or []
+        # Our request uses response_format={"type": "json_object"}; models that
+        # only advertise structured_outputs may reject that envelope.
+        if "response_format" not in params:
+            continue
+        price = _price(model)
+        if price <= 0.0 or price == float("inf"):
+            continue
+        ranked.append((price, model_id))
+    ranked.sort()
+    out: list[str] = []
+    for _price_value, model_id in ranked:
+        if model_id not in out:
+            out.append(model_id)
+        if len(out) >= max(1, limit):
+            break
+    return out
+
+
+def resolve_models(requested: str = DEFAULT_MODEL, *, catalog: list[dict] | None = None,
+                   limit: int = 6) -> list[str]:
+    """Resolve ``auto``/an explicit model to a fallback-ordered model list.
+
+    `GIG_LINE_JUDGE_MODEL` overrides the automatic choice for reproducible runs;
+    an explicit CLI `--model` still wins.
+    """
+    requested = str(requested or "").strip()
+    if requested and requested != DEFAULT_MODEL:
+        return [requested]
+    env_model = os.environ.get("GIG_LINE_JUDGE_MODEL", "").strip()
+    if env_model:
+        return [env_model]
+    models = vision_candidates(catalog if catalog is not None else fetch_models(), limit)
+    if not models:
+        models = FALLBACK_MODELS[:max(1, limit)]
+    return models
+
+
+def is_auth_error(exc: BaseException) -> bool:
+    text = str(exc)
+    return "HTTP 401" in text or "HTTP 403" in text or "API key not valid" in text
+
+
+def call_with_fallback(models: list[str], make_body, call, attempts: int = 2):
+    """Try each model, retrying provider errors, and return (model, response).
+
+    Authentication errors abort immediately: switching models cannot repair a
+    bad key. Model/provider errors move to the next candidate.
+    """
+    last: BaseException | None = None
+    for model in models:
+        body = make_body(model)
+        for attempt in range(max(1, attempts)):
+            try:
+                return model, call(body)
+            except (ValueError, OSError) as exc:
+                last = exc
+                if is_auth_error(exc):
+                    raise
+                if attempt + 1 >= max(1, attempts):
+                    break
+    if last is not None:
+        raise last
+    raise ValueError("no judge model was available")

tools/publish_release.sh

@@ -67,6 +67,7 @@ extras=(
   "build/gig-line-setup-$VERSION.exe"
   "build/gig-line-$VERSION-x86_64.AppImage"
   "build/gig-line-web-$VERSION.zip"
+  "build/gig-line-desktop-hq-$VERSION.zip"
 )
 all_artifacts=("${portables[@]}")
 for f in "${extras[@]}"; do

tools/scene_concepts.py

@@ -38,6 +38,7 @@ from PIL import Image, ImageFilter, ImageOps, ImageStat
 
 import asset_pipeline
 import generate_textures
+import openrouter_judge
 
 ROOT = Path(__file__).resolve().parent.parent
 RAW_DIR = ROOT / "assets" / "textures" / "ai" / "v2" / "raw"
@@ -46,7 +47,7 @@ CONCEPT_DIR = ROOT / "docs" / "screens" / "concepts"
 REALISM_DIR = ROOT / "docs" / "screens" / "realism"
 
 DEFAULT_MODEL = "openai/gpt-5-image-mini"
-DEFAULT_JUDGE_MODEL = "google/gemini-2.5-flash-lite"
+DEFAULT_JUDGE_MODEL = openrouter_judge.DEFAULT_MODEL
 OPENROUTER_CHAT_URL = "https://openrouter.ai/api/v1/chat/completions"
 
 SCENE_W, SCENE_H = 1280, 720
@@ -758,25 +759,32 @@ def _call_openrouter(body: dict, timeout: int = 180) -> dict:
         raise ValueError(f"OpenRouter HTTP {exc.code}: {exc.read().decode('utf-8', 'replace')[:300]}")
 
 
-def judge_capture(model: str, target: Path, capture: Path, attempts: int = 2,
+def judge_capture(models, target: Path, capture: Path, attempts: int = 2,
                   repeats: int = 1) -> dict:
     """Vision-judge one capture; retry transient errors, average repeat scores.
 
+    `models` is a fallback-ordered list from `openrouter_judge.resolve_models`.
     A single score from a small vision model swings by ±1-2, so `repeats` runs
     are averaged and the spread is kept (`score_range`) for the report.
     """
+    if isinstance(models, str):
+        models = [models]
     runs = []
     error = None
+    used = set()
     for _ in range(max(1, repeats)):
-        for _attempt in range(attempts):
+        try:
-            try:
+            model, payload = openrouter_judge.call_with_fallback(
-                runs.append(parse_realism_response(_call_openrouter(
+                models, lambda selected: build_realism_request(selected, target, capture),
-                    build_realism_request(model, target, capture))))
+                _call_openrouter, attempts=attempts)
-                break
+            used.add(model)
-            except (ValueError, OSError) as exc:
+            runs.append(parse_realism_response(payload))
-                error = exc
+        except (ValueError, OSError) as exc:
+            if openrouter_judge.is_auth_error(exc):
+                raise
+            error = exc
     if not runs:
-        return {"scores": {}, "fixes": [f"judge failed: {error}"]}
+        return {"scores": {}, "fixes": [f"judge failed: {error}"], "model": ""}
     keys = {key for run in runs for key in run["scores"]}
     scores = {}
     spread = {}
@@ -790,7 +798,7 @@ def judge_capture(model: str, target: Path, capture: Path, attempts: int = 2,
             if fix not in fixes:
                 fixes.append(fix)
     return {"scores": scores, "score_range": spread, "runs": len(runs),
-            "fixes": fixes[:5]}
+            "model": ", ".join(sorted(used)), "fixes": fixes[:5]}
 
 
 def cmd_realism(args) -> int:
@@ -800,10 +808,14 @@ def cmd_realism(args) -> int:
     if not sets:
         print(f"no capture sets under {_rel(run)}", file=sys.stderr)
         return 2
+    judge_models = []
     if args.judge:
         _load_env_file()
-    report = {"run": _rel(run), "judge_model": args.model if args.judge else None,
+        judge_models = openrouter_judge.resolve_models(args.model)
-              "sets": {}}
+        print(f"judge models: {', '.join(judge_models)}", file=sys.stderr)
+    report = {"run": _rel(run),
+              "judge_model": (judge_models[0] if judge_models else None),
+              "judge_fallbacks": judge_models, "sets": {}}
     for capture_set in sets:
         rows = {}
         for capture in sorted(capture_set.glob("*.png")):
@@ -815,8 +827,15 @@ def cmd_realism(args) -> int:
             row = {"target": _rel(target), "metrics": cap_m, "target_metrics": tgt_m,
                    "metric_gap": metric_gap(cap_m, tgt_m)}
             if args.judge:
-                row["judge"] = judge_capture(args.model, target, capture,
+                try:
-                                             repeats=args.repeats)
+                    row["judge"] = judge_capture(judge_models, target, capture,
+                                                 repeats=args.repeats)
+                except ValueError as exc:
+                    if openrouter_judge.is_auth_error(exc):
+                        print(f"error: OpenRouter authentication failed: {exc}",
+                              file=sys.stderr)
+                        return 2
+                    raise
             rows[capture.stem] = row
         report["sets"][capture_set.name] = rows
     json_path = next_free_path(run / "report.json")
@@ -975,7 +994,9 @@ def build_parser():
     real = sub.add_parser("realism")
     real.add_argument("--run", required=True)
     real.add_argument("--judge", action="store_true")
-    real.add_argument("--model", default=DEFAULT_JUDGE_MODEL)
+    real.add_argument("--model", default=DEFAULT_JUDGE_MODEL,
+                      help="OpenRouter model id, or 'auto' to pick the cheapest "
+                           "available image+JSON model with fallbacks")
     real.add_argument("--repeats", type=int, default=1,
                       help="average N judge runs per shot (scores are noisy)")
     real.set_defaults(handler=cmd_realism)

tools/screen_designs.py

@@ -51,6 +51,7 @@ from pathlib import Path
 from PIL import Image, ImageChops, ImageDraw, ImageFilter, ImageOps, ImageStat
 
 import generate_textures
+import openrouter_judge
 
 ROOT = Path(__file__).resolve().parent.parent
 ## Runtime reference art (ADR-0014); docs/screens/designs/ is the reference-only
@@ -68,7 +69,7 @@ ASPECT = 16 / 9
 DEFAULT_MODEL = "openai/gpt-5-image-mini"
 
 # Vision model used by `judge`. Cheap, multimodal, and good at "same screen?".
-DEFAULT_JUDGE_MODEL = "google/gemini-2.5-flash-lite"
+DEFAULT_JUDGE_MODEL = openrouter_judge.DEFAULT_MODEL
 OPENROUTER_CHAT_URL = "https://openrouter.ai/api/v1/chat/completions"
 
 # Shared art direction, appended to every prompt so the generated frames read
@@ -965,6 +966,10 @@ def judge(args):
     refs = {screen["name"]: screen["ref"]
             for screen in SCREENS if screen["ref"]}
     by_name = {screen["name"]: screen for screen in SCREENS}
+    models = [args.model]
+    if not args.dry_run:
+        models = openrouter_judge.resolve_models(args.model)
+        print(f"judge models: {', '.join(models)}", file=sys.stderr)
     results = []
     for capture in sorted(SCREENSHOTS_DIR.glob("*.png")):
         if args.only and args.only not in capture.name:
@@ -982,23 +987,36 @@ def judge(args):
                             "match": None, "confidence": 0.0,
                             "differences": ["missing reference design; run generate"]})
             continue
-        body = build_judge_request(args.model, by_name[design_name],
-                                   capture, reference)
         if args.dry_run:
+            body = build_judge_request(args.model, by_name[design_name],
+                                       capture, reference)
             results.append({
                 "capture": capture.name, "screen": design_name, "match": None,
                 "confidence": 0.0, "model": body["model"], "class": "unknown",
                 "differences": [f"dry run: {len(body['messages'][0]['content'])} parts"],
             })
             continue
-        # Providers occasionally answer a valid key with a transient HTTP 400;
-        # one retry keeps a whole judge run from dying on a single hiccup.
         try:
-            verdict = parse_judge_response(_call_openrouter(body))
+            model, payload = openrouter_judge.call_with_fallback(
+                models,
+                lambda selected: build_judge_request(
+                    selected, by_name[design_name], capture, reference),
+                _call_openrouter)
         except ValueError as exc:
-            print(f"retrying {capture.name}: {exc}", file=sys.stderr)
+            if openrouter_judge.is_auth_error(exc):
-            verdict = parse_judge_response(_call_openrouter(body))
+                print(f"error: OpenRouter authentication failed: {exc}",
+                      file=sys.stderr)
+                return 2
+            print(f"error judging {capture.name}: {exc}", file=sys.stderr)
+            results.append({
+                "capture": capture.name, "screen": design_name, "match": None,
+                "confidence": 0.0, "model": "",
+                "class": "unknown", "differences": [f"judge failed: {exc}"],
+            })
+            continue
+        verdict = parse_judge_response(payload)
         verdict.update({"capture": capture.name, "screen": design_name,
+                        "model": model,
                         "class": classify(verdict, args.fail_confidence)})
         results.append(verdict)
 
@@ -1047,7 +1065,9 @@ def build_parser():
 
     judge_cmd = commands.add_parser(
         "judge", help="ask a vision model whether captures match the designs")
-    judge_cmd.add_argument("--model", default=DEFAULT_JUDGE_MODEL)
+    judge_cmd.add_argument("--model", default=DEFAULT_JUDGE_MODEL,
+                           help="OpenRouter model id, or 'auto' to pick the cheapest "
+                                "available image+JSON model with fallbacks")
     judge_cmd.add_argument("--json", action="store_true")
     judge_cmd.add_argument("--dry-run", action="store_true",
                            help="print requests instead of calling the API")

tools/test_openrouter_judge.py

@@ -0,0 +1,89 @@
+import os
+import unittest
+from unittest import mock
+
+import openrouter_judge as oj
+
+
+def _model(model_id, prompt, completion, *, image=True, response_format=True, batch=False):
+    return {
+        "id": model_id,
+        "architecture": {
+            "input_modalities": ["text", "image"] if image else ["text"],
+            "output_modalities": ["text"],
+        },
+        "supported_parameters": ["response_format"] if response_format else ["temperature"],
+        "pricing": {"prompt": str(prompt), "completion": str(completion)},
+    }
+
+
+class ModelSelectionTests(unittest.TestCase):
+    def test_candidates_are_image_json_models_sorted_by_price(self):
+        catalog = [
+            _model("expensive/model", 0.10, 0.40),
+            _model("cheap/model", 0.01, 0.02),
+            _model("text-only", 0.001, 0.001, image=False),
+            _model("no-json", 0.001, 0.001, response_format=False),
+            _model("batch/model:batch", 0.0001, 0.0001),
+        ]
+        self.assertEqual(oj.vision_candidates(catalog), ["cheap/model", "expensive/model"])
+
+    def test_explicit_model_wins_over_auto_and_env(self):
+        with mock.patch.dict(os.environ, {"GIG_LINE_JUDGE_MODEL": "env/model"}):
+            self.assertEqual(oj.resolve_models("explicit/model", catalog=[]),
+                             ["explicit/model"])
+
+    def test_auto_uses_env_override(self):
+        with mock.patch.dict(os.environ, {"GIG_LINE_JUDGE_MODEL": "env/model"}):
+            self.assertEqual(oj.resolve_models("auto", catalog=[]), ["env/model"])
+
+    def test_auto_uses_catalog_and_falls_back_offline(self):
+        catalog = [_model("cheap/model", 0.01, 0.02)]
+        self.assertEqual(oj.resolve_models("auto", catalog=catalog), ["cheap/model"])
+        self.assertEqual(oj.resolve_models("auto", catalog=[]), oj.FALLBACK_MODELS[:6])
+
+
+class FallbackTests(unittest.TestCase):
+    def test_fallback_switches_model_after_provider_error(self):
+        seen = []
+
+        def call(body):
+            seen.append(body["model"])
+            if body["model"] == "bad/model":
+                raise ValueError("OpenRouter HTTP 400: provider rejected image")
+            return {"ok": True}
+
+        model, payload = oj.call_with_fallback(
+            ["bad/model", "good/model"], lambda m: {"model": m}, call, attempts=1)
+        self.assertEqual(model, "good/model")
+        self.assertEqual(payload, {"ok": True})
+        self.assertEqual(seen, ["bad/model", "good/model"])
+
+    def test_auth_error_does_not_try_another_model(self):
+        seen = []
+
+        def call(body):
+            seen.append(body["model"])
+            raise ValueError("OpenRouter HTTP 401: API key not valid")
+
+        with self.assertRaises(ValueError):
+            oj.call_with_fallback(["one", "two"], lambda m: {"model": m}, call)
+        self.assertEqual(seen, ["one"])
+
+    def test_transient_error_retries_same_model(self):
+        seen = []
+
+        def call(body):
+            seen.append(body["model"])
+            if len(seen) == 1:
+                raise ValueError("OpenRouter HTTP 500")
+            return {"ok": True}
+
+        model, _ = oj.call_with_fallback(
+            ["one"], lambda m: {"model": m}, call, attempts=2)
+        self.assertEqual(model, "one")
+        self.assertEqual(seen, ["one", "one"])
+
+
+if __name__ == "__main__":
+    unittest.main()