Add YOLO preflight runtime diagnostics

docs/AI_PIPELINES.md

@@ -70,6 +70,10 @@ The preflight checks:
 - tile count against `YOLO_MAX_TILES`;
 - referenced tile file existence.
 
+JSON output also reports runtime diagnostics: whether dependencies were assumed,
+the configured model directory, `YOLO_CONFIG_DIR`, installed `torch` and
+`ultralytics` versions, and CUDA availability when dependency checks pass.
+
 The preflight does not load the model, does not import Ultralytics unless dependency discovery requires package metadata, does not run inference and never downloads model weights.
 
 Sprint 25 adds an explicit local model compatibility smoke:

docs/CODEX_EXECUTION_LOG.md

@@ -7,6 +7,7 @@ Changed:
 - Passed YOLO runtime environment variables and a `/app/models` volume into the all-in-one Unraid container so local PyTorch/Ultralytics models can be mounted explicitly.
 - Hardened the AI image path after Tower validation showed `torch` imported but `ultralytics` failed on a missing OpenCV native library. The Dockerfiles now include the required OpenCV runtime shared libraries and YOLO dependency detection performs real imports instead of `find_spec` checks.
 - Added a writable `YOLO_CONFIG_DIR` default under application storage after Tower validation showed Ultralytics otherwise falls back to `/tmp` because root config is not writable in the container.
+- Added YOLO preflight runtime diagnostics so operators can see dependency assumption state, model directory, `YOLO_CONFIG_DIR`, installed `torch`/`ultralytics` package versions and CUDA availability without loading a model, running inference or downloading weights.
 - Updated `.env.example`, `backend/README.md`, `frontend/README.md`, `scripts/README.md`, `docs/AI_PIPELINES.md`, `docs/TODO.md` and `CHANGELOG.md`.
 - Added regression coverage in `backend/tests/test_sprint116_operational_gis_map_workflow.py`, `backend/tests/test_sprint8b_yolo_foundation.py` and `backend/tests/test_docker_runtime_config.py`.
 
@@ -37,6 +38,18 @@ Validation:
 - Tower container check passed: `torch` imported as `2.12.1+cu130`, `torch.cuda.is_available()` returned `False`, `ultralytics` imported as `8.4.87`, and `scripts/yolo_preflight.py --enabled --json` returned `dependencies_available=true`, `status=not_configured`, `will_download_models=false`, `will_run_inference=false` because no local model path is configured yet.
 - Tower runtime `YOLO_CONFIG_DIR` is `/app/storage/ultralytics`; the directory exists, is writable and Ultralytics writes settings there instead of root config.
 - Internal browser validation passed against `http://192.168.10.150:1202`: the live shell and Map workspace rendered without console errors, with database layer selection, Operational GIS controls, and both full-run modes visible.
+- RED: `python -m pytest backend\tests\test_sprint13_yolo_preflight.py -q` failed before runtime diagnostics were implemented because `runtime` was absent from preflight output.
+- `python -m pytest backend\tests\test_sprint13_yolo_preflight.py -q` passed: 8 tests.
+- `python -m pytest backend\tests\test_sprint13_yolo_preflight.py backend\tests\test_sprint8b_yolo_foundation.py backend\tests\test_docker_runtime_config.py -q` passed: 39 tests.
+- `python -m compileall backend/app` passed.
+- `cd backend && python -m pytest -q` passed: 369 tests.
+- `cd frontend && npm run typecheck` passed.
+- `cd frontend && npm run build` passed.
+- `bash scripts/run_readiness_check.sh` passed: 369 backend tests plus frontend typecheck/build and Alembic head.
+- `cd backend && python -m alembic heads` passed: `202606120900 (head)`.
+- `cd backend && python -m alembic upgrade head --sql` passed.
+- `bash -n scripts/live_migration_smoke.sh`, `bash -n scripts/deploy_tower.sh`, `bash -n deploy/unraid/run-dockerman-container.sh` and `bash -n deploy/unraid/all-in-one-start.sh` passed.
+- Local Codex host still cannot run `docker compose config` because Docker is not installed in this Windows environment; Tower Docker validation is required after push/deploy.
 
 Limitations:
 - `GEOINTEL_INSTALL_AI=true` installs optional PyTorch/Ultralytics dependencies but still requires a user-provided local model file; GeoIntel does not download weights.