docs(vault): service and infrastructure pages stop restating endpoint facts

18 pages cut their per-endpoint shape, payload, port and window claims and
link [[frank-archon]] / [[frank-dragoon]] / [[frank-zealot]] instead. Several
of the cut claims had already drifted -- the stack page still described the
kingjones ROCmFP4 era on ROCmFPX, OpenWebUI carried the 27B/3-slot bench
narrative, Hermes named a retired max_model_len and the old service name, and
the OMP harness page's live-window block had drifted off frank-zealot's real
262,144 (it is now labelled a dated worked example whose authority is the
endpoint page).

Two facts gain a single owner instead of two: the up{job=~"frank-.*"} scope
lives in Infrastructure/Prometheus.md, and the blackbox/Anubis probe form in
Architecture/Stale Signal Audit.md, each cited from the other page.

Voice Packs and Frank TTS carried live-state claims that contradicted the
engine page's 2026-10-18 deploy record (nothing listening on 7772/8880, model
dir absent); they now point at the pages that own host state.

serverAppConfigs-docs/Dankclaw/Open Notebook.md

@@ -61,7 +61,7 @@ podman exec open-notebook curl -sS http://host.containers.internal:7771/v1/model
 
 **The blocker moved; it did not vanish.** frank-tts and frank-tts-engine are **deployed** (2026-10-18) and answer on 7772, so the voice leg works end to end — `podman exec open-notebook curl -sS http://frank-tts:7772/health` is the check to run the day the app exists. What still blocks a render is open-notebook itself: not installed on this host yet. When it is, the two provider rows above are the only wiring, and the seeded speaker profiles carrying OpenAI voice names are the first trap.
 
-**Why frank-zealot and not frank-dragoon:** podcast scriptwriting asks the model for a JSON-schema response (with a plain-JSON fallback). llama.cpp's OpenAI-compatible endpoint is a known-good target for that; frank-dragoon's halogen runtime has **unverified** structured-output behaviour, so it is the unproven alternative, not the fallback. `ESPERANTO_LLM_TIMEOUT=180` (the app's own default) covers an outline or transcript call on zealot comfortably; upstream's note is to keep it under 600 so a slow call fails with a clear error instead of a UI timeout.
+**Why frank-zealot and not frank-dragoon:** podcast scriptwriting asks the model for a JSON-schema response (with a plain-JSON fallback). The decision rests on each endpoint's documented request surface ([[frank-zealot]], [[frank-dragoon]]): zealot's is a known-good target for that call shape, dragoon's structured-output behaviour is **unverified**, so it is the unproven alternative, not the fallback. `ESPERANTO_LLM_TIMEOUT=180` (the app's own default) covers an outline or transcript call on zealot comfortably; upstream's note is to keep it under 600 so a slow call fails with a clear error instead of a UI timeout.
 
 ## Speakers and voices: 1–4, and the IDs are free text