v0.1.8: two-Spark pipeline + kept-warm serving

- Secondary-Spark models now work in air-gapped mode: the LiteLLM proxy is
  dual-homed onto the default bridge (docker network connect) to reach the
  secondary's published vLLM port; grader containers stay on the --internal
  network with zero egress. The head-only enforcement is replaced by a
  secondary-configured check.
- Extraction runs in parallel with grading when the extractor's model and
  every grader model in the wave sit on different Sparks (separate GPUs).
- Keep-warm: single-wave jobs no longer tear the wave down between decks
  (was a ~6-min 31B reload per deck); a kept-warm wave that fails preflight
  is restarted once. Adjudicator reuses the live wave when its model is
  already serving instead of cycling the shared proxy.
- clear_resident_containers (preJobStopContainers) now stops names on every
  configured Spark; health() reports containers on both Sparks.
- Verified with a mocked dry-run of the full job loop (3 decks: one
  bring-up, zero mid-job teardowns, parallel overlap, stale-wave restart).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

README.md

@@ -120,7 +120,7 @@ Canonical repo: `https://gitea.ten31.ai/Ten31AI/boardroom-map`.
 
 ## Status
 
-**v0.1.7 — live in production.** Deployed on a StartOS box driving a DGX Spark
+**v0.1.8 — live in production.** Deployed on a StartOS box driving a DGX Spark
 in single-spark air-gapped mode (gemma-4-31B panel: munger-lens /
 girdley-operator / buffett-owner). First full grading run completed
 2026-07-29: a three-deck company history graded end-to-end into a running
@@ -138,7 +138,11 @@ dashboard, an at-a-glance strip per deck report, and a concise "At a glance"
 summary table atop every generated DECK_REPORT.md; v0.1.7 added company
 deletion from the dashboard (wipes the graded history, optionally restores
 the graded deck files to the inbox) so an evaluation can be re-run from
-scratch with a different model panel.
+scratch with a different model panel; v0.1.8 added the two-Spark pipeline —
+secondary-Spark models work in air-gapped mode (dual-homed proxy; graders
+keep zero egress), extraction and grading run in parallel when their models
+sit on different Sparks, and single-wave jobs keep the vLLMs warm across
+decks instead of reloading the 31B (~6 min) per deck.
 
 Known optimization not yet done: the wave is torn down per deck, so the 31B
 reloads from disk (~6 min) between decks even when the model set is unchanged.