feat(fv-ml1): rebalance GPUs 0/1 by usage; contexts to published maximums; gen-small default output cap

Layout: GPU 0 = cyberprev (KV 16 -> 15 GiB, 1.29x), erp-seat (moved from
GPU 1, KV 8.49 -> 5.5 GiB, 1.32x), voices (ctx 8,192 -> 40,960, its native
maximum, KV 6 GiB, 1.07x), coder (moved from GPU 1, ctx 16,384 -> 32,768,
the card maximum, 2.35x), parakeet-nemo. GPU 1 = gen-small (moved from
GPU 0, 5.5 GiB, 1.76x), meromero-rp (22 GiB, 1.32x), intern-decision.

Sizing rule: KV >= 1.25x max context rounded up to 0.5 GiB, checked against
7 days of LiteLLM traffic and the engines' own KV-usage logs. Each card keeps
spare memory for its bursty tenant (parakeet's cap on GPU 0, intern-decision's
32k call on GPU 1). YaRN extensions are not enabled: they do not fit, and the
Qwen cards warn static YaRN degrades short prompts.

gen-small gets --override-generation-config max_new_tokens 32768. It applies
only to requests that omit max_tokens (vLLM get_max_tokens) and answers 9
runaway ~260k-token replies in 7 days; the longest normal reply was 6,357.

Applied with playbooks/fv-ml1-rebalance-20261005.yaml (boot-check guard and
health/KV verification per seat); all nine seats healthy, gateway smoke
tests pass.

stacks/intern-decision/README.md

@@ -92,6 +92,9 @@ service. This container may therefore use its rest (8,812 MiB) plus GPU 1's nvid
 > 3,981 MiB, about 2.4 GB short of a 32k call. Fixed 2131–2135 the same night: meromero and coder now pin KV in
 > bytes (`playbooks/fv-ml1-kv-pin-20261005.yaml`), and `Free` reads **11,801 MiB**, a 20,613 MiB budget, so
 > ~5.4 GB is spare at the 15,220 peak. The static seats can no longer drift across restarts.
+> **Later that night (2226–2249), the GPU 0/1 rebalance** (`playbooks/fv-ml1-rebalance-20261005.yaml`) left this
+> card with gen-small, meromero-rp and this service only. `Free` read 10,864 MiB right after, and should settle
+> near ~9.7 GB once gen-small's post-boot growth levels off. That is a ~18.5 GB budget, so ~3.3 GB spare at the 32k peak.
 
 Measured on the live service (per-process nvidia-smi every 0.1 s; single `noul` question unless noted; n=3, deterministic):