feat(semif): SemIf option-logit decisions on fv-ml1 GPU 1 (Prime)

services/semif-serve is a FastAPI wrapper around SemIf's direct and shared torch
scorers (SemIf-OpenJev @ 23cf1f39, MIT). Upstream ships only a batch CLI. The
wrapper loads the pinned Qwen3.5-4B (851bf6e8, BF16) once from the offline HF
cache and returns SemIf's result dicts unchanged, with an optional per-workload
temperature-calibrated view. Contract: semif-serve.contract.md. Built with a
short contract, TDD (39 tests, fake engine and fake torch, no GPU) and a heid
bug-hunt panel (pending).

On the card:
- torch 2.10.0+cu128 with sm_120 kernels, which is SemIf's own stack;
- a hard 12 GiB VRAM cap.
Two defects surfaced only on the card, and each fix is covered by a test:
- 0.1.1: an OOM raised as a chained exception kept the failed request's tensors
  alive (11.9 GiB after the 503). It is now raised unchained, after gc.
- 0.1.2: a large request left 12.6 GB reserved on the shared card. After each
  call, reserved memory over the baseline + 512 MiB is now released.

Acceptance against SemIf's committed torch predictions (authored144):
- 142/144 same top choice; both misses are exact bf16 ties;
- 144/144 identical prompt hashes;
- deterministic A-vs-A;
- negative control 14/144;
- shared vs direct 72/72.
21 binary criteria over one state take 159 ms. The shared-mode capacity table
under the cap is in stacks/semif/README.md.

The Dockerfile installs dependencies from a manifest with the project version
blanked, so a version bump reuses the ~4 GB torch layer. Verified: 41 s rebuild,
dependency layer CACHED.

DNS: semif.fv.internal. Token: vault semif/api-token.

dns/internal.yaml

@@ -127,3 +127,4 @@ aliases:
   - {name: wherethef, site: nh3, target: nh3-dev,    note: WhereTF :8093}
   - {name: homepage,  site: esh, target: esh-docker-vm, note: fleet dashboard :5100}
   - {name: scriberr,  site: fv,  target: fv-ml1,      note: transcription + diarization :8080 (GPU1)}
+  - {name: semif,     site: fv,  target: fv-ml1,      note: SemIf option-logit decisions :8032 (GPU1)}