frank-primary: swap Dankserver to llama.cpp Qwen3.8-Flash-Next Q8_0

The 2026-09-26 same-day cutover that ended the Lucebox DS4.1 detour:
Dankserver's :7770 endpoint is now unsloth llama.cpp (the b11030-mix
prebuilt, ROCm gfx120X, bundled runtime) serving
unsloth/Qwen3.8-Flash-Next-GGUF at Q8_0 — 175.30 GiB across six sha256-
verified split parts — on both Radeon AI PRO R9700s, as a ROOT unit (the
frank-large shape: no container, no generated unit).

The deployed contract:

- Placement law: layer split -ts 1,1 with -ngl 999; the routed experts
  and the 51B-param n-gram (PLE) table are COMPUTED in host RAM via
  -ot exps=CPU,ngram_embeddings=CPU (the x4-pair measurement: streaming
  over PCIe loses at 3.7 t/s, computing in RAM does not care).
  per_layer_token_embd.weight=CPU is required by the shared MTP head's
  borrow path (a GPU-resident borrow crashes the draft load).
  mmap stays on; --cache-ram 16384.
- Spec chain draft-mtp,ngram-mod: the shared Q8_0 MTP head
  (mtp-...-shared-Q8_0.gguf, 2,786,568,256 B) at depth 2, with the
  draftless ngram-mod matcher chained behind it — the only legal way to
  layer two spec implementations in one process.
- Vision explicit: --mmproj names the BF16 projector (this build never
  autoloads; a server without it comes up healthy and text-only).
- Reasoning: --reasoning-format deepseek → reasoning_content; the
  Qwen3.8 template's {xhigh, medium, low} reasoning_effort gate folded
  by reasoningEffortMap in models.yml.
- One stream, the model's full 262,144 context; greedy server default
  with Qwen-recommended sampling riding compat.extraBody.

The deployer's deploy_llm_primary is rewritten for the root unit: it
gates every artifact at its declared byte count (stat -c %s, never wc -c
— which read the whole 377 GiB lucebox file for minutes on 2026-09-26),
retires the lucebox user quadlet to dated home trash, waits out port
7770, relinks/enables/restarts the root unit and waits up to 1800 s for
/health. The quadlet-era tree under dankserver/frank-primary/ is
archived (dankserver/.AGENTTRASH/20260926-llamacpp-cutover/ on this
box; git history everywhere else) and its planner mapping replaced by
the scripts/ trio.

Observability flips back to the llamacpp namespace: a frank-primary
Prometheus job at 192.168.0.235:7770 (cross-host LAN — the netavark
published-port quirk that forces host.containers.internal for the two
Dankclaw endpoints is same-host only), the LlmEndpointDown runbook
text, and the dashboard description for three llama.cpp endpoints.

Docs: the new runbook (frank-primary-llamacpp-qwen38-flash-next-q8.md),
RETIRED banners on the lucebox and radiance runbooks and their index
entries, the AGENTS.md fleet section rewritten for the root-unit shape,
and the homepage frank-medium card renamed to frank-primary with the
Q8_0 Flash-Next spec (docs.html #models and the modality note updated:
images on frank-primary and frank-small, audio on frank-small only).

models.yml: the dankserver provider is "llamacpp (dankserver)" serving
frank-primary, contextWindow 262144, maxTokens 65536 (compaction-gap
law: 183,501 + 65,536 <= 262,144), input [text, image].

Suite: 346 green (frank_primary_unit.bats rewritten for the root unit —
16 tests pinning the placement law, the shared-head requirement, the
explicit projector, HIP env hygiene (BIND_HOST, never bare HOST), and
the deployer's byte-count gates; the quadlet-era planner and
changed-tests mappings rewritten for the trio; the observability scrape
test asserts three llamacpp jobs again).

Rollback: the lucebox image (localhost/lucebox-rocm:gfx1201) and the
378 GiB payload stay on the host; the Qwen payload stays fetched, so a
re-swap in either direction is a redeploy, not a refetch.

shared/grafana/provisioning/dashboards/llm-fleet.json

@@ -1,7 +1,7 @@
 {
   "uid": "llm-fleet",
   "title": "LLM fleet \u2014 capacity and reuse",
-  "description": "The signals that explain the LLM endpoints under load. One metric namespace: llamacpp:* for frank-small (Dankclaw, RTX 3090) and frank-large (Dankclaw, gfx1151 iGPU). frank-primary (Dankserver, the Lucebox DS4.1 engine since the 2026-09-26 cutover) exports no metrics and has no panels here. The endpoint picker selects between them. See serverAppConfigs-docs/Infrastructure/Observability.md for the namespace split and the addressability rules.",
+  "description": "The signals that explain the LLM endpoints under load. One metric namespace: llamacpp:* across all three endpoints — frank-small (Dankclaw, RTX 3090), frank-large (Dankclaw, gfx1151 iGPU) and frank-primary (Dankserver, 2x R9700, llama.cpp again since the 2026-09-26 swap back from Lucebox DS4.1). The endpoint picker selects between them. See serverAppConfigs-docs/Infrastructure/Observability.md for the namespace split and the addressability rules.",
   "tags": [
     "llm",
     "capacity"
@@ -96,7 +96,7 @@
         },
         {
           "expr": "job:llm_spec_accept_length:rate5m{job=~\"$job\"}",
-          "legendFormat": "{{job}} mean accepted length (vLLM)",
+          "legendFormat": "{{job}} mean accepted length",
           "refId": "B"
         },
         {
@@ -110,7 +110,7 @@
       "id": 3,
       "type": "timeseries",
       "title": "Requests waiting (queue depth)",
-      "description": "llama.cpp: anything above zero means the engine is serialising (with --parallel 1 a second concurrent request always shows up here). vLLM: the scheduler's own waiting/running gauges against MAXSEQS=8.",
+      "description": "llama.cpp: anything above zero means the engine is serialising (with --parallel 1 a second concurrent request always shows up here). All three endpoints are llama.cpp since the 2026-09-26 frank-primary swap.",
       "gridPos": {
         "h": 8,
         "w": 12,
@@ -138,7 +138,7 @@
       "id": 4,
       "type": "timeseries",
       "title": "Decode and prefill throughput",
-      "description": "llama.cpp: llamacpp:predicted_tokens_seconds is decode, llamacpp:prompt_tokens_seconds is prompt. vLLM: the token counters, rate'd. The series carry the job label of their scrape, so the endpoint picker selects between the runtimes.",
+      "description": "llamacpp:predicted_tokens_seconds is decode, llamacpp:prompt_tokens_seconds is prompt. The series carry the job label of their scrape, so the endpoint picker selects between the endpoints.",
       "gridPos": {
         "h": 8,
         "w": 12,
@@ -166,7 +166,7 @@
       "id": 5,
       "type": "timeseries",
       "title": "Decode steps and batch size",
-      "description": "llama.cpp-only signal \u2014 vLLM does not publish per-step counters. Steps per second and the busy-slot count per step (the effective batch).",
+      "description": "Per-step counters: steps per second and the busy-slot count per step (the effective batch). With frank-primary's --parallel 1 the slot count stays at 0 or 1 and says nothing about the card; with frank-small's 4 slots it tracks the agent-fleet burst shape.",
       "gridPos": {
         "h": 8,
         "w": 12,