docs(openwebui): frank-dragoon enabled in the picker beside frank-zealot

Live DB trio applied on Dankclaw (enable idx 0, model row + global access_grant, restart); verified /api/models as admin and role=user, chat answers pong. Battery rewritten to gate on /api/models — /api/v1/models/list lists only workspace models on 0.6.x.
docs(log): wire-rename wave — three served ids, OpenWebUI + Hermes re-key, bench drop-in retired
2026-10-09 20:43:28 -07:00 · 2026-10-09 17:10:25 -07:00 · 2026-10-09 17:06:44 -07:00 · 2026-10-09 16:47:19 -07:00 · 2026-10-09 11:49:58 -07:00 · 2026-10-08 23:44:13 -07:00
257 changed files with 25757 additions and 1825 deletions
@@ -12,8 +12,9 @@ merge absorbed the former `vllmScripts` repo, history preserved).
  Calibre-Web, Jellyfin, Plex) plus the `frank-primary` LLM service.
 - **Dankclaw** (192.168.0.143) — AI/search/dev/observability stack (SearXNG
  via Gluetun, ComfyUI, OpenWebUI, Hermes, Gitea, Grafana, Prometheus, Loki,
-  Alloy, Pi-hole) plus TWO LLM services: `frank-large` (stock llama.cpp on
-  the gfx1151 iGPU) and `frank-small` (llama.cpp on the RTX 3090). Caddy on
+  Alloy, Pi-hole) plus TWO LLM services: `frank-large` (flash-server
+  container on the gfx1151 iGPU) and `frank-secondary` (llama.cpp CUDA on the
+  RTX 3090). Caddy on
  Dankclaw reverse-proxies both hosts.
 - **FrankBook-Pro** (192.168.0.112) — macOS mini running the *arr stack
  (Prowlarr, Sonarr, Radarr, Lidarr, Readarr, qBittorrent) as quadlets inside
@@ -24,9 +25,9 @@ merge absorbed the former `vllmScripts` repo, history preserved).

 | Target | Service | Runtime | Model | Port |
 |--------|---------|---------|-------|------|
-| Dankserver | `frank-primary` | R9V radiance-vLLM fork `drwolfen/radiance-vllm-qwen4exp` (docker-pinned image bundle `2dac17a2`, docker→podman shim, root systemd unit) | unsloth Qwen3.8-Flash-Next-GGUF Q8_0 (175.30 GiB, 6 GGUF shards) with the blockfp8 MTP4 head (depth 4) and mmproj, TP=2 tiered experts (80-slot LRU cache; PLE n-gram PINNED in host RAM 54.4 GB; quantized inject-shard dev-overlay adapter), CED off, 131072 ctx single stream, Qwen-Sharp template, tool parser `qwen3_coder`, reasoning channel `reasoning` | 7770 |
-| Dankclaw | `frank-large` | unsloth llama.cpp b11030 prebuilt (ROCm gfx1151, root systemd unit) | unsloth Qwen3.8-27B-GGUF:UD-Q8_K_XL (27B dense, 31.5 GiB) with the z-lab DFlash2 Q4_K_M drafter (depth 4) on the gfx1151 iGPU (Strix Halo LPDDR, 114 GiB GTT), 262144 ctx single stream (1 slot), q8_0 KV, text only | 7770 |
-| Dankclaw | `frank-small` | mainline llama.cpp master 37b53fd (root systemd unit) | HauhauCS Gemma4-12B-QAT-Uncensored-Balanced Q4_K_M (BF16 mmproj + MTP assistant sidecar, `draft-mtp,ngram-mod`) on the RTX 3090, 1048576 pool / 4 slots of 262,144, q8_0 KV, the fleet's fastest vision endpoint | 7771 |
+| Dankserver | `frank-primary` | **radiance** (StillDeadcode, **pin 1.0.13** digest-pinned `stilldeadcode/radiance@sha256:4c3f484564…`, plain `podman run`, root systemd unit) | ukisai/Swift1.5-Qwen3.8-Flash-Next BF16 (335.3 GiB, 397/397 sha256-verified) converted by `scripts/convert-swift15-w4dn8.sh` to `qwen4exp-swift15-w4dn8-i8-hc8m.rad` (**116,416 MiB**): **all 49,152 experts GPTQ w4** (10M-token calibration on engine 1.2.0) + **24 whole bf16-protected experts/layer** (energy-share law), int8 trunk/lm_head, fp8 HC, PLE n-gram fp8 fixed-scale, on **BOTH R9700s TP=2** (`--tp-wire wht6`), experts in a **40 GiB/rank pinned host pool** + VRAM cache (`--placement expert_tiered`, explicit `--vram-weights-mib 26071 --vram-kv-mib 3543`), **47.7 GiB n-gram copy pinned to host RAM** (`--ngram-placement ram`; root unit + `LimitMEMLOCK=infinity`), **fp8 KV** (inherited; pool 3.46 GiB), **MTP spec decode depth 2**, `--max-num-seqs 3`, `--max-model-len 200000`, MNBT 2048, Froggeric v22.5 template. KLD-gated (mean KL 0.0131, top-1 97.92 % vs BF16); decode ~190 t/s live (gate bar 30.8). Cutover 2026-10-08 from fp8-native (payload on disk = rollback). | 7770 |
+| Dankclaw | `frank-large` | **halogen-flash-server 0.16.2** (`ghcr.io/peonist-ai/halogen-flash-server@sha256:0c61bf84…`, digest-pinned, plain `podman run` via `scripts/serve-frank-large.sh`, root systemd unit) | Quat3rnion/halogen-swift1.5-qwen3.8-flash-next-v2-abliterated **`qwen38-flash-next-v2-swift15-abliterated.hgn`** (66,687,678,464 B = compacted r2 of the card's 89,775,868,032 B original, ~62 GiB resident; the v2 `.hgn` format loads in NO other engine), **+ REQUIRED `qwen38-flash-next-ngram.hgn`** (51,200,246,144 B, peonist @5cc17cea — read beside the checkpoint) **+ vision tower** (897,916,416 B, @e053f488 — **vision ON**, `image_url` parts only, ≥256 px probes), **MTP spec decode ALWAYS-ON (`HALOGEN_SPEC_ADAPT=0` — the adaptive default disables the drafter per request and HALVES decode)**, MTP head INSIDE the checkpoint (`HALOGEN_MTP_HEAD` unset; no sidecar fetched), **2 slots × 262,144 ctx** (KV pool 524,288 positions ≈ 14.0 GiB at ~28 KiB/position; the 27B slots>1-disables-drafting law does NOT carry over — batching and speculation coexist, the card's quickstart ships 2 with the head), harness window 217,088 = ceiling − 45k estimate headroom, **server-side sampler 1.0/0.95/20** (card recipe; models.yml extraBody matches), coupled cap/timeout 65536/7200, prompt cache ON by default (warm 100k turn ≈ 2 s vs ≈ 88 s cold)|7770|
+| Dankclaw | `frank-secondary` | llama.cpp master (0.5.0-dev, commit `5fc4f3c`), CUDA sm_86 build (root systemd unit, relinked) | HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive **Q6_K** (7,359,259,008 B; dense `qwen35` hybrid: 32 layers, 8 full-attention + 24 Gated DeltaNet, 4 KV heads × 256 dim, vocab 248,320, native 262,144, **no MTP tensors in the file**) + the publisher's own **BF16 mmproj** (921,704,448 B) for **vision**, on the RTX 3090, **TWO 200,704-token slots** (`--ctx-size 401408 --parallel 2`), **exact f16 K + f16 V** under flash attention (32 KiB/token over the 8 full layers = 12.25 GiB pool), batch 4096 / **ubatch 2048** (measured CUDA optimum), `--log-verbosity 4`, **MTP OFF** (forced: no `nextn` tensors exist). Priced from the MiMo Q6_K boots (same geometry, same card, same shape): 21,276/2,849 at ubatch 1024, 21,846/2,279 at 2048. Cutover 2026-10-07 (late) from Gemma4-26B-A4B Q4_K_M 1×200,704. All three endpoints route harness **compaction** here. | 7771 |

 Retired endpoints (`frank-npu`, and every prior runtime) are in
 the [runbook index](#runbook-index). The full swap history lives in
@@ -40,7 +41,11 @@ the [runbook index](#runbook-index). The full swap history lives in
 - `scripts/` — `deploy.sh` / `deploy-plan.py` / `deploy-remote.sh`, LLM serve
  scripts, systemd units, env tunables, bench harnesses
 - `old/` — retired LLM scripts (reference only)
- `serverAppConfigs-docs/` — knowledge base (Obsidian vault, OKF format)
+- `serverAppConfigs-docs/` — knowledge base (Obsidian vault, OKF format).
+  The managed skill library is distilled there one page per skill-cluster:
+  `LLM/index.md` → *Cross-Cutting References*, plus `Operations/index.md`,
+  `Agent/index.md`, and the Infrastructure/Dankclaw/FrankBook-Pro service
+  pages (`serverAppConfigs-docs/log.md` carries the wave plan and results)
 - `tests/` — bats suite + Playwright e2e

 ## Git Workflow
@@ -68,12 +73,20 @@ All edits flow through git. Never edit files on a remote machine directly.
 The planner maps changed paths to services; the remote runner restarts only
 the selected service and records its revision outside the checkout.
 Documentation-only changes are a no-op. LLM services are selected only by
-their own files — every endpoint (`frank-large`/`frank-small`/`frank-primary`)
+their own files — every endpoint (`frank-large`/`frank-secondary`/`frank-primary`)
 by its unit/env/serve trio in `scripts/` — so
 unrelated
 container changes cannot interrupt inference. Set `FRANK_SUDO_PW` for headless
 runs on a host without passwordless sudo; the value never enters the repo.

+**`deploy.sh <target>` with no `--service` is a fleet-wide DRAIN, not a sync.**
+It also walks every per-service revision marker under the deploy-state dir and
+restarts each service whose marker is behind HEAD *and* whose paths changed
+since that marker — so a backlog accumulated by service-scoped deploys fires
+all at once, and one failing health gate aborts the run with every later
+service left pending. Name the service unless a drain is what you want
+(`./scripts/deploy.sh dankserver --service frank-primary`).
+
 ### Deployment completeness (MANDATORY)

 A deploy is **not complete** when `deploy.sh` exits green. It requires:
@@ -82,7 +95,14 @@ A deploy is **not complete** when `deploy.sh` exits green. It requires:
 2. the Playwright e2e suite (`tests/e2e/run.sh`) — runs **automatically** as
   the `[3/3]` gate at the end of `deploy.sh` against the LIVE fleet; a
   behavior-affecting deploy that fails it exits `DEPLOY INCOMPLETE`. Bypass
-   only with `--skip-e2e` in an emergency.
+   only with `--skip-e2e` in an emergency. The gate runs the conditional
+   `frankbook` Playwright project (the `*arr`/qBittorrent walk,
+   `tests/e2e/specs/19-frankbook.spec.ts`) ONLY when a frankbook blast-radius
+   path changed since origin/main — that spec, `frankbook-pro/**`,
+   `shared/homepage/services.json`, or the `dankclaw/Caddyfile` serving the
+   arr vhosts — so a sleeping FrankBook-Pro never fails an unrelated deploy.
+   The default project set excludes it everywhere else (`E2E_INCLUDE_FRANKBOOK=1`
+   opts in; see `serverAppConfigs-docs/Architecture/E2E Suite.md`).

 ```mermaid
 graph LR
@@ -208,13 +228,30 @@ archive.

 **STOP the production service BEFORE benchmarking** — these servers serve
 real users, and a bench beside a live service starves the GPU and corrupts
-results. Use the runtime's own harness: `llama-bench` for every llama.cpp
-endpoint (all three are llama.cpp now). Rolling your own bench
+results. Use the runtime's own harness: `llama-bench` for the llama.cpp
+endpoints; a live llama.cpp server also reports honest per-request numbers in the `/completion` `timings` object (prefill/decode rates, `draft_n`, `draft_n_accepted`), which is how frank-large and frank-secondary were measured. Rolling your own bench
 requires asking first.
 Scratch ports are not used on LLM hosts — a
 test process cannot share the single GPU anyway; validate against the service
 itself.

+(A gufo-era law; frank-large ran ROCmFPX llama.cpp 2026-10-02 → 10-05, the
+halogen 27B container 2026-10-05 → 10-06, and is flash-server since, but the
+rollback tags keep it live.) **`gufo bench` cannot rank speculative-decode
+settings, and will invert the ranking.**
+Measured 2026-09-28 on frank-large at depth 32768: its corpus
+reports `acceptance=0.933 ± 0.000` with an **identical trace sha256** across
+draft widths, i.e. the same highly-predictable text every run, and 93 % of
+every proposal accepted. It reported 29–37 t/s decode where real traffic
+gives ~15 t/s, and it made `--draft-tokens 16` look 6 % faster than 7 when
+real text made it 14 % *slower*. Use it for shape, not for A/B. For an A/B,
+replay **real** text through the live server and read the `Server-Timing`
+header — but note the unit rides in the **name** half (`ttft;dur=402.485`),
+so splitting on `=` alone keys the dict `ttft;dur` and every lookup silently
+returns nothing. Generate **at least 128 tokens** for the measurement: at 8
+tokens, `inter_token` is first-token noise and the run-to-run spread swamps
+every real difference.
+
 This covers **any GPU experiment, not just benchmarks** — including a bare
 2-rank RCCL/`torch.distributed` probe. On 2026-09-16 one such probe was run
 against the live service "because it only needs 200 MB of VRAM"; the host went
@@ -227,11 +264,11 @@ one: `ip neigh show <ip>` from a peer — FAILED means off/NIC dead, while a
 merely wedged kernel usually still answers ARP.

 1. Stop and mask (self-healing would restart it):
-   - Dankclaw `frank-large` (root unit, stock llama.cpp on the iGPU):
+   - Dankclaw `frank-large` (root unit, halogen podman on the iGPU):
     `sudo systemctl stop frank-large && sudo systemctl mask frank-large`
-   - Dankclaw `frank-small` (root unit, llama.cpp on the 3090):
-     `sudo systemctl stop frank-small && sudo systemctl mask frank-small`
-   - Dankserver `frank-primary` (root unit, R9V radiance on the 2x R9700):
+   - Dankclaw `frank-secondary` (root unit, llama.cpp on the 3090):
+     `sudo systemctl stop frank-secondary && sudo systemctl mask frank-secondary`
+  - Dankserver `frank-primary` (root unit, radiance on both R9700s, TP=2):
     `sudo systemctl stop frank-primary && sudo systemctl mask frank-primary`
 2. Bench.
   NOTE: `systemctl mask` FAILS on a relinked unit (the unit file in
@@ -249,9 +286,17 @@ deletes the unit file from `/etc/systemd/system/`, not just the symlink.
 The harness reaches the fleet through `.omp/agent/models.yml` in the
 operator's home — `/home/blank/.omp/agent/models.yml` on the dev box, which is
 where the harness runs; there is no copy on the servers. Each provider is one
-HOST:PORT; each model `id` is the served alias: `frank-primary` →
-`192.168.0.235:7770`, `frank-large` → `192.168.0.143:7770`, `frank-small` →
-`modelRoles`.
+HOST:PORT; each model `id` is the served alias. **Official model ids are
+the StarCraft unit names (2026-10-08) and since 2026-10-09 they are also the
+ids on the wire:** `frank-archon` → `192.168.0.235:7770`
+(`FRANK_PRIMARY_SERVED_NAME`), `frank-dragoon` → `192.168.0.143:7770`
+(`HALOGEN_MODEL_ID`), `frank-zealot` → `192.168.0.143:7771` (`ALIAS`). The
+SERVICES, units, scripts, env files and runbooks keep the old names
+(`frank-primary`, `frank-large`, `frank-secondary`); only the served alias,
+the `models.yml`/`config.yml` ids, the homepage cards, the OpenWebUI grants
+and the Hermes routing were renamed. Verify a rename on `/v1/models`, never
+on a chat response: radiance echoes the **requested** model name, so a 200
+proves nothing about the served id (llama.cpp and halogen ignore it).

 Resolution rules: the default model resolves as a `defaultProvider` +
 `defaultModel` pair (the provider must serve the model); a subagent override
@@ -263,168 +308,273 @@ When renaming a service, retiring an endpoint, or moving a model: update the
 provider block, model `id`, `contextWindow`, `maxTokens`, `input` in
 `models.yml`, then fix every `modelRoles` entry that named the old endpoint —
 a role pointing at a provider the file does not define fails at call time. As
-of 2026-09-26 both `frank-small` and `frank-primary` accept images
-(`input: [text, image]`) — frank-primary loads the BF16 mmproj explicitly
-(this build never autoloads projectors); `frank-large` remains text-only
-because its stock llama.cpp deployment loads no
-vision projector (the mmproj is not loaded). Note also that
-the reasoning channel differs by runtime: llama.cpp endpoints emit
-`reasoning_content`, vLLM emits `reasoning` — academic since the
-2026-09-26 swap, as every endpoint in the fleet is llama.cpp now.
+of 2026-10-06 **all three endpoints accept images** (`input: [text,
+image]`) — `frank-large` returned to vision with the flash-server v2 swap
+(the v2 vision tower loads beside the checkpoint; the text-only halogen
+27B window closed 2026-10-06) — while
+`frank-primary` takes them natively (radiance runs the checkpoint's
+27-layer Qwen-VL tower — patching, pad-token expansion and 3-part rotary
+are the engine core; `--mm-max-patches` available),
+and `frank-secondary` through
+the publisher's own BF16 mmproj passed as `--mmproj` — the model is natively
+multimodal but the Q6_K GGUF carries no vision tensors (same arrangement the
+Gemma4 era used). `frank-secondary`'s `contextWindow` is
+**200704** — the PER-SLOT window (`--ctx-size 401408 --parallel 2` since the
+2026-10-07 Qwen3.5-9B swap), not the pool and not the model's native 262144:
+the harness must compact before llama.cpp answers a longer prompt with a 400.
+Note also
+that
+the reasoning channel differs by runtime: llama.cpp AND SGLang (qwen3
+parser, live-verified) emit `reasoning_content`, vLLM emits `reasoning` —
+models.yml sets `reasoningContentField` per endpoint to match.
 There is **no audio**
-input anywhere in the fleet except frank-small: that capability left with the
-FLM NPU endpoint on 2026-09-11 and returned on 2026-09-17 with the Gemma4
-projector's audio encoder (frank-small transcribes WAV verbatim even though
-`audio` is omitted from its `input` list — OMP's schema rejects it).
+input anywhere in the fleet: that capability left with the FLM NPU
+endpoint on 2026-09-11, returned 2026-09-17 with the Gemma4 projector's
+audio encoder, and left again with the Gemma4 retirement on 2026-10-01
+(neither the MiMo nor the Qwen3.5 tower carries audio).

-### frank-large — stock llama.cpp Qwen3.8-27B UD-Q8_K_XL (Dankclaw, ACTIVE)
+### frank-large — halogen-flash-server 0.16.2, Qwen3.8-Flash-Next v2 Swift1.5 ABLITERATED (Dankclaw, ACTIVE)

-The unsloth llama.cpp prebuilt `app-b11030-mix-5ff778e` (ROCm gfx1151,
-`/home/dank/GitPackages/unsloth-llama-b11030/`, bundles its own ROCm
-runtime — no host SDK gate) as a **root systemd unit**
-(`scripts/frank-large.service`, `User=dank`), serving
-`unsloth/Qwen3.8-27B-GGUF:UD-Q8_K_XL` (27B dense, 31.5 GiB,
-sha256-verified) on port 7770 from the gfx1151 iGPU. One stream, full
-262,144 ctx (the model's native window, `PARALLEL_SLOTS=1`), DFlash2 spec
-decode (the z-lab `Qwen3.8-27B-DFlash2-Q4_K_M` drafter, depth 4,
-`SPEC_DRAFT_N_MAX=4`), reasoning extracted to `reasoning_content`, and
-**no vision projector**. It replaced the Kairic Edge ROCmFPX build (jcbtc
-Qwen3.8-27B-IU4-Kairic-Edge), which had replaced the unsloth
-Qwen3.8-Flash-Next UD-IQ4_XS.
+The **flash-server engine** (`ghcr.io/peonist-ai/halogen-flash-server@sha256:0c61bf84…`,
+digest-pinned, published tag 0.16.2, 3.6 GB image) as a podman container
+driven by `scripts/serve-frank-large.sh` under a **root systemd unit**
+(`scripts/frank-large.service`, `User=dank`, `Restart=always`,
+`ExecStop=podman stop -t 60 frank-large-halogen`, the script runs `podman
+run` FOREGROUND — the container's exit code is the service's exit so
+`Restart=always` stays real, and the engine ledger lands on disk) on port
+7770 from the Strix Halo iGPU. Engine stdout goes to
+`/home/dank/logs/frank_large.log` — **the boot ledger (weights resident, KV
+pool, MTP head, prompt cache, any clamp) lives there, not in the journal**.
+Cutover 2026-10-06 from the halogen 27B-dense era
+([[frank-large-halogen27b-dflash2]], retired the same window).

-The spec method is DFlash2 (block-diffusion drafter) at depth 4. The
-drafter is loaded via `--model-draft`; the chain is `--spec-type
-draft-dflash` with `--spec-draft-device ROCm0`. KV is **q8_0** (the
-unsloth b11030 build does not support fp8 KV; q8_0 is the
-highest-precision 8-bit option, ~8 GiB at 262k). The serve script
-(`scripts/serve-frank-large.sh`) validates binary → main GGUF → drafter
-and exits with a pointer message if any is missing, then `exec`s
-`llama-server` with `--jinja --alias frank-large --chat-template-kwargs
-'{"preserve_thinking":true}' --chat-template-file $TEMPLATE_FILE` (the
-Qwen-Sharp v22.4.0 template; without `--chat-template-file` the binary
-falls back to the built-in `peg-native` template, which produces a
-~73,600-token prompt for a ~250-token request).
+Serving `Quat3rnion/halogen-swift1.5-qwen3.8-flash-next-v2-abliterated`:
+`qwen38-flash-next-v2-swift15-abliterated.hgn` (66,687,678,464 B ≈ 62.1
+GiB, sha256 `9c880b8b…` — a compacted r2 of the card's 89,775,868,032 B
+append-only original; the abliteration workflow appends and the repo's
+tooling drops dead padding, live tensors byte-identical) + the **REQUIRED**
+n-gram lookup table `qwen38-flash-next-ngram.hgn` (51,200,246,144 B,
+peonist @5cc17cea) + the vision tower `qwen38-flash-next-vision.hgn`
+(897,916,416 B, @e053f488) + the flat `tokenizer/` directory (6 files,
+fetched fresh from peonist). Cutover 2026-10-06 from the halogen
+27B-dense shape, chosen by Frank for the ABLITERATED base.

-The iGPU addresses **114 GiB** (the GTT aperture over the shared LPDDR,
-`gtt_total` in `/sys/class/drm/card1/device/`; `rocm-smi`'s 2 GiB "dedicated"
-is not the budget). The 27B dense model (31.5 GiB) is mmap'd in with
-`--n-gpu-layers 999`; budget at 262k ≈ 41-43 GiB (weights + KV + buffers),
-leaving ~71 GiB of aperture headroom. The 8 GiB prompt-cache budget
-(`CACHE_RAM=8192`) is the qualified config.
+**The format is the lock.** The v2 `.hgn` loads ONLY in the
+flash-server line — the 27B-era halogen 0.1.4 container refuses it, so the
+engine moved with the model. The MTP head is INSIDE the checkpoint
+(`HALOGEN_MTP_HEAD` stays unset; the separate `qwen38-flash-next-mtp.hgn`
+sidecar is deliberately not fetched).

-Fetch: `scripts/download-frank-large.sh` (per-file, each file verified
-against its declared byte count + sha256; `--verify-only` re-checks).
+**Product facts vs the 27B era, both regressions FIXED:** the base is
+**abliterated** (the 27B was a censored-base finetune; refusals were an
+accepted trade there) and **vision is ON** (the 27B engine silently
+ignored its encoder — frank-secondary owned images for exactly one day at this
+endpoint).

-Runbook: `serverAppConfigs-docs/LLM/frank-large-unsloth-qwen38-27b-q8xl.md`.
-Rollback: [[frank-large-kairic-edge-qwen38-27b]] (payload and runtime
-intact on disk).
+**Engine laws that shape the config** (all in `scripts/frank-large.env`
+with evidence): `HALOGEN_SPEC_ADAPT=0` is MANDATORY — the default adaptive
+policy disables the MTP head for whole requests after low acceptance and
+HALVES decode; the head stays on and temp-1.0 traffic pays some acceptance
+for it (accepted). `HALOGEN_CTX=262144` is the PER-SLOT hard ceiling (400
+naming the limit, never truncation) — RAISED from 200192 on 2026-10-07
+under the 400-zone law: the harness clamps max_tokens to
+`min(45056, contextWindow − est − 4096)`, its chars/4 est UNDER-counts
+the rendered prompt by ~3 % (measured: est 152,938 → server 157,388,
+request 43,158 vs room 42,804), so a harness window == engine ceiling
+made every request over ~146k est a guaranteed 400. `models.yml`
+`contextWindow: 217088` leaves the 45k gap that absorbs the estimate
+error (worst-case request ≈ 219k ≤ 262144); compaction fires at 85 % of
+the harness window = 184,524 est ≈ 190k measured (Frank's 180k target).
+`HALOGEN_KV_SLOTS=2` is LEGAL here — the 27B "slots>1 disables the drafter"
+law does NOT carry over; batching and speculation coexist (the card's
+quickstart ships 2 slots with the head), so 2 is concurrent capacity.
+`HALOGEN_KV_POOL_POSITIONS=524288` (explicit 2 × ctx; ~28 KiB/position ⇒
+14.0 GiB). `HALOGEN_MAX_TOK=8192` is only the per-request DEFAULT (the
+harness sends at most its `maxTokens` 45056); `HALOGEN_MAX_TOKENS_CAP=65536` +
+`HALOGEN_QUEUE_TIMEOUT=7200` are a coupled pair (FLAGS.md table).
+**A server-side sampler EXISTS** (`HALOGEN_TEMPERATURE/TOP_P/TOP_K` =
+1.0/0.95/20, the card's thinking recipe) — an absent temperature is no
+longer greedy; `models.yml` extraBody carries the same values, consistent
+not load-bearing. Prompt cache is ON by default (`PROMPT_CACHE=2`): a warm
+100k follow-up costs ~2 s vs ~88 s cold — the 27B engine's manual
+`HALOGEN_CACHE_MB` pin era is over. `response_format` is unsupported.
+Thinking lands in **`reasoning_content`**; the v2 chat template rejects
+`reasoning_effort` outside `xhigh|medium|low`, so the `models.yml` fold
+stays mandatory. Thinking tokens COUNT against the budget (empty content +
+`finish_reason: "length"` when exhausted mid-thought). Vision: OpenAI
+`image_url` content parts only; ≥256 px probe images or the model answers
+"video".

-### frank-small — llama.cpp on the RTX 3090 (Dankclaw, ACTIVE)
+**Memory ledger** (121.2 GiB unified; the referee is the boot ledger):
+weights ~62 + KV 14.0 + arena ~8 (`3.8 + 8.4 × MAX_TOK/16384`) + vision
+~2 ≈ 86 GiB engine-side + `HALOGEN_HOST_RESERVE_GIB=20` → ~15 GiB
+margin over baseline co-tenancy. The 51.2 GB n-gram table rides as mmap'd
+page cache beside the checkpoint — the card's quickstart arithmetic does
+not bill it as resident, but READ the boot ledger and re-size if the
+engine prints a clamp.

-Mainline llama.cpp master `37b53fd` (CUDA build with
-`-DGGML_CUDA_FA_ALL_QUANTS=ON`) as a **root systemd unit** (repo
-`scripts/frank-small.service`, `relink_unit`ed into `/etc/systemd/system/`),
-serving `HauhauCS/Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced` at Q4_K_M.
-The MTP head is a SEPARATE assistant file (`mtp-gemma-4-12B-it.gguf`, 4
-nextn layers) loaded via `--model-draft`; the draftless **ngram-mod**
-matcher chains behind it in the same `--spec-type` value. BF16 mmproj,
-port 7771, q8_0 KV, `CTX_SIZE=1048576` / `PARALLEL=4`
-(four FULL 262,144-token slots — the measured card ceiling), batch
-**8192/1024**, greedy default. Deployed flags are in
-`scripts/frank-small.env`; the serve script refuses to start if the
-weights, the projector, the sidecar or the binary are missing.
+Fetch: `scripts/download-frank-large-flashnext.sh` into
+`/home/dank/models/halogen-flashnext-v2/` (`-f` + exact byte counts + LFS
+sha256 + `--verify-only`, no token on the command line; resume goes
+against the RESOLVED CDN URL because curl drops `Range` across HF's 302).
+The serve gates mirror the deployer EXACTLY (byte-exact checkpoint +
+n-gram + vision tower, flat tokenizer with all six files as regular
+files) — the 2026-10-01 crash-loop lesson.

-Verified at deploy (2026-09-17): `/v1/models` reports `frank-small`; a
-chat completion returns content plus `reasoning_content`; a tool call
-returns `tool_calls`; an image request is answered from the projector;
-an `input_audio` WAV transcribes verbatim. Post-tuning live numbers at
-max length: pp@254k ~965 t/s, tg@253k 226–302 t/s with ~94% draft
-acceptance; idle 23,300 MiB of 24,576. The throughput sweep (and why
-ubatch 2048 OOMs the draft's pp buffer, and why draft depth 4 + poll
-100 is WORSE at long ctx) is tabled in the runbook.
-Runbook: `serverAppConfigs-docs/LLM/frank-small-gemma4-12b.md`.
-Rollback: [[frank-small-qwen38-gsq-rco]].
+Runbook:
+`serverAppConfigs-docs/LLM/frank-large-flash-server-v2-swift15.md`.
+Rollback: revert the swap commit and redeploy — the 27B payload
+(`/home/dank/models/halogen-qwen3.8-27b/`), its fetch script and the
+halogen 0.1.4 image digest all remain on disk; the ROCmFPX door behind
+that (`scripts/build-rocmfpx.sh`, pin `36e9acd`) is untouched.

-### frank-primary — R9V radiance-vLLM Qwen3.8-Flash-Next Q8_0 (Dankserver, ACTIVE)
+### frank-secondary — llama.cpp on the RTX 3090 (Dankclaw, ACTIVE)

-The **R9V radiance-vLLM fork** (`drwolfen/radiance-vllm-qwen4exp`, docker-pinned
-prebuilt image bundle `r9v-qwen38-flash-next-wmma@sha256:2dac17a2…`) serving
-the **unsloth Qwen3.8-Flash-Next-GGUF Q8_0** (175.30 GiB, 6 GGUF shards)
-with the blockfp8 MTP4 head (depth 4) and the mmproj on **both** Radeon AI
-PRO R9700s (gfx1201, BDFs `0000:03:00.0` / `0000:07:00.0`), one stream at
-**131,072 ctx**, **TP=2 tiered experts** (80-slot LRU expert cache; PLE
-n-gram table PINNED in host RAM, 54.4 GB), the **Qwen-Sharp v22.4.0
-template** (via the launcher's `R9V_CHAT_TEMPLATE_FILE` passthrough, fork
-`30d4a32`), tool parser `qwen3_coder`, reasoning channel `reasoning`. Cut
-over 2026-09-27 from the uncensored IQ4_XS payload (itself cut over from
-llama.cpp b11030 the same day) at Frank's direction.
+**llama.cpp master** (0.5.0-dev, commit `5fc4f3c`; CUDA sm_86 build
+`/home/dank/GitPackages/llama-master/build-cuda/bin/llama-server`,
+`GGML_CUDA_FA_ALL_QUANTS=ON`) as a **root systemd unit**
+(`scripts/frank-secondary.service`, `relink_unit`ed into
+`/etc/systemd/system/`), serving
+`HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive` at **Q6_K**
+(7,359,259,008 B, sha256 `c0ba7beb…` computed locally — the Hub carries no
+LFS oid) **plus the publisher's own BF16 mmproj** (921,704,448 B), both
+`/home/dank/models/Qwen35-9B-HauhauCS-Q6K/`, on port 7771. Cutover
+2026-10-07 (late) from the Gemma4-26B-A4B Q4_K_M 1×200,704 shape (same day).

-**The tuned shape lives on-host, not in the repo.** The q8 profile's setup
-run qualified the `R9V_*` config into
-`/home/dank/r9v-state/q8xl/setup.json` (`ready: true`); the repo env
-file `scripts/frank-primary.env` carries ONLY production overrides
-(`R9V_HOST_BIND=0.0.0.0`, `R9V_HOST_PORT=7770`,
-`R9V_SERVED_MODEL_NAME=frank-primary`, `R9V_CONTAINER_NAME=frank-primary-r9v`,
-`R9V_EXPECTED_GPU_BDFS`) plus two q8-only keys: the dev-overlay adapter
-(`R9V_DEV_QWEN4_EXP_ADAPTER_PY`, fork commit `363d606` — the Q8_0 payload
-quantizes BOTH fused hyper-connection shards, so the shard-uniformity
-check needs the in-stream dequant) and `R9V_FULL_MUTABLE_CACHE=0` (the
-overlay's env.always injects the uncensored 160-slot cache geometry, which
-the q8 80-slot tiered cache rejects). Never copy tuned values from the
-state into the repo — it would drift from the qualification.
+**Architecture: qwen35 dense hybrid** — read from the GGUF's own header, not
+the model card: 32 layers, `full_attention_interval = 4` ⇒ **8 full-attention
+layers (3, 7, 11, …, 31) + 24 Gated DeltaNet linear layers**, 16 attention
+heads / **4 KV heads** × 256 dim, `ssm` conv_kernel 4 / state_size 128 /
+group_count 16 / time_step_rank 32 / inner_size 4096, native 262,144, vocab
+248,320. Tensor types are Q6_K × 250 + F32 × 177 — standard quants only, so
+the stock master build loads it (arch `qwen35` is registered in this build's
+`src/llama-arch.cpp`). **KV accounting:** the pool scales with the 8 full
+layers only — 8 × 4 × 256 = 8,192 elements/token per cache, so f16 K + f16 V
+bills **32 KiB/token** = 12.25 GiB at the 401,408 pool; the 24 DeltaNet
+layers bill a fixed recurrent state per SLOT, not per token, which is exactly
+why two 200k slots fit where the 26B MoE fit one.

-**Spec decoding is MTP4 only.** The fork's `speculative_config` is a
-single dict — one method per engine, NO chaining — so the llama.cpp
-`draft-mtp,ngram-mod` pattern is NOT expressible here. MTP4 is wired
-(`R9V_MTP_SPEC_TOKENS=4`, draft TP=2); the PLE n-gram rides along
-architecturally (`ngram_embedding`); `ngram_gpu` exists as an alternative
-single method, not a chainable one.
+**The shape (2026-10-07):** `--ctx-size 401408 --parallel 2` = TWO
+conversations of 200,704 (Frank's cap; the harness `contextWindow` quotes
+the per-slot number), `--flash-attn on`, **f16 K + f16 V** (exact KV),
+batch 4096 / **ubatch 2048** (the measured CUDA optimum: +4.6 % prefill,
+decode flat, 616 MiB — MiMo-era A/B on this card), `--log-verbosity 4`,
+`--mmproj` for vision, **speculative decoding OFF** (`SPEC_TYPE=none`).

-**Serving = the fork's own launcher through a docker→podman shim.** The R9V
-tooling is docker-pinned; the shim at
-`/home/dank/GitPackages/radiance-vllm-qwen4exp/.podman-shim/docker` carries
-three laws: (1) the bundle is a containerd/OCI docker-save, so docker keys
-the image by its OCI manifest digest while podman keys by config digest but
-preserves the manifest digest in `RepoDigests` — the shim answers
-`image inspect sha256:X` from RepoDigests and rewrites bare `sha256:X` run
-refs to `repo@sha256:X`; (2) podman inspect answers
-`HostConfig.LogConfig.Config: null` where docker returns the log-opts map
-(the fork's doctor crashes on it) — the shim records `run --log-opt` pairs
-and normalizes inspect output; (3) podman lacks docker's `SecurityOptions`
-/`ServerVersion` info fields — the shim answers them.
+**Why MTP is off**: it is not a choice — **this Q6_K file carries no
+`nextn`/`mtp` tensors** (verified from the tensor-name list), and MTP is a
+property of the file, not of the flags. The publisher card advertises "MTP
+support" for the base architecture; the quantized export dropped the head.

-**Unit and self-healing.** Root systemd unit (`scripts/frank-primary.service`,
-`User=dank`, `LimitMEMLOCK=infinity`) — the PLE pinned residency alone is
-54.4 GB, and a root unit grants the pin budget via PID1 (a rootless
-quadlet would be capped by the user manager's limit).
-The serve script (`scripts/serve-frank-primary.sh`) gates the setup state
-(ready + paths), the pinned image (RepoDigests), the PLE byte count
-(`stat -c %s`), every GGUF shard + the mmproj and the GPU device nodes,
-clears a stale container, then execs the fork's `scripts/launch.sh` through
-the shim and **blocks on `docker wait`** — the launcher `--detach`es, so
-without the wait a crashed engine is a green unit; `docker wait` cannot stop
-the container child, hence `ExecStop=podman stop -t 120
-frank-primary-r9v`. The deployer's `deploy_llm_primary` gates state/image/
-PLE/shards, `podman rm -f`s the container, waits out :7770, relinks/enables/
-restarts the unit and health-gates with the MainPID check (the false-green
-stray law).
+**Measured boots** (nvidia-smi, the referee): the deployed boot is
+**21,436 used / 2,689 free** (ubatch 2048) — the pricing boots were the
+MiMo-V2.6-Distill-Qwen-9B pair at this exact geometry (**21,276 / 2,849** at
+ubatch 1024, **21,846 / 2,279** at 2048), so the 415 MiB lighter weights
+bought back what the projection predicted. The engine ledger confirms the KV
+law to the MiB: `CUDA0 KV buffer size = 12544.00 MiB` (`K (f16): 6272.00`,
+`V (f16): 6272.00`), compute buffers 1,136 MiB on CUDA0 + 848 MiB host, the
+mmproj 879 MiB + 248 MiB. Decode is ubatch-invariant (Swift-era 3090 law). The
+Q6_K rung costs ~10 % decode vs Q5_K_M (weight bandwidth; MiMo-measured 94.4
+vs 104.8 t/s).

-Verified at cutover (2026-09-27): q8 setup state `ready: true`, all 20
-payload artifacts sha256-verified (175.30 GiB); the scratch-port bring-up
-battery answered vision ("Red" for a 64×64 red PNG), MTP4 mean acceptance
-length 3.19–5.00, and the PLE pinned proof (`mapping_bytes =
-mapping_rss_bytes = 54,400,261,120`, fully RSS-resident); wire + tool
-round-trip + template probe re-verified on :7770 after the deploy. No
-throughput bench was run (Frank declined); the probe-era 11 tok/s decode
-was residency-bound (halved expert headroom at double the bytes/expert),
-not the production number.
+**Vision**: the publisher's own BF16 mmproj via `--mmproj` (the model is
+natively multimodal; the Q6_K file carries no vision tensors). Probe traps
+carry over: ≥256 px probe images or the model answers "video", and only the
+OpenAI `image_url` content part reaches the model.

-Runbook: `serverAppConfigs-docs/LLM/frank-primary-r9v-radiance-qwen38-q8.md`.
-Rollback: the uncensored payload — flip `R9V_STATE_FILE` back to
-`/home/dank/r9v-state/uncensored/setup.json`, drop the two q8-only keys
-and the template keys, redeploy (state + `restore-config-20260927.env` +
-payload intact on disk) — see
-[[frank-primary-r9v-radiance-qwen38-uncensored]].
+**Compaction hub**: `models.yml` routes `compactionModel` for
+`frank-archon`, `frank-dragoon` and `frank-zealot` (the 3090 endpoint) here — 200,704 is the
+only window in the fleet that fits a worst-case compaction input (~170k
+tokens). With `--parallel 2` a compaction request no longer serializes behind
+a live generation (the Gemma4 era's `--parallel 1` law).
+
+Runbook:
+`serverAppConfigs-docs/LLM/frank-secondary-llama-qwen35-9b-q6k-2x200704.md`.
+Rollback: revert the swap commit — the Gemma4 payload
+(`/home/dank/models/Gemma4-26B-A4B/`), the MiMo Q6_K payload
+(`/home/dank/models/MiMo-Q6K/`), the Swift payload
+(`/home/dank/models/Swift15-UncIQ3XXS/`) and the Ornith Q8_0 payload
+(`/home/dank/models/Ornith-Q8/`) all remain on disk.
+
+
+### frank-primary — Radiance (StillDeadcode), Swift1.5-Qwen3.8-Flash-Next GPTQ w4, TP=2 (Dankserver, ACTIVE)
+
+The **radiance engine** (StillDeadcode, Apache-2.0; image
+`stilldeadcode/radiance@sha256:4c3f484564…` digest-pinned, **pin 1.0.13**
+for serve/convert/KLD; `libr4d` gfx1201 kernels, plain `podman run`, root
+systemd unit, container name = unit name) serving
+**ukisai/Swift1.5-Qwen3.8-Flash-Next (BF16, 335.3 GiB, 131 shards,
+397/397 sha256-verified)** converted by `scripts/convert-swift15-w4dn8.sh`
+with recipe `scripts/recipes/qwen4exp-swift15-w4dn8-i8-hc8m.recipe` to
+`qwen4exp-swift15-w4dn8-i8-hc8m.rad` (~114 GiB): **all 49,152 experts GPTQ
+w4** (act-order, damp 0.05, 10,000,000-token calibration captured on engine
+**1.2.0** via `RADIANCE_CALIB_DIR`/`RADIANCE_CALIB_TOKENS` — the only pin
+with the token knob; the RADGRAM2 grams are format-identical across pins and
+cross the boundary by design), **24 whole experts per layer cast bf16** (the
+PROTECTED set, derived from the calibration grams' energy share),
+**int8 trunk/lm_head**, **fp8 HC mixtures** (`--hc-mix-dtype`), PLE n-gram
+table at fp8 fixed scale (47.7 GiB in the container, from 95.4 GiB bf16).
+The plugin's **one-table-one-encoding law** (measured at rad-convert
+declare): one expert table takes ONE encoding; only whole bf16 experts are
+legal beside it — no w4/fp8 split of the down/gate_up pair (24-value
+`rad_arch_quant_desc` array, one per layer). KLD gate vs the BF16
+reference (recorded on the same 1.0.13 pin) is the precision referee;
+the throughput gate (decode ≥ 30.8 t/s) was passed at 4.5× the bar
+(122–173 t/s at 44.5k depth). Measured decode/prefill in the runbook.
+Rollback: revert the swap commit — the fp8-native `.rad`
+(`qwen4exp-fp8-native.rad`) and every prior payload remain on disk.
+
+**Shape (both R9700s, TP=2)**: `--tp-wire wht6`, `--max-num-seqs 3`,
+`--max-model-len 200000` (the harness contextWindow must quote this),
+`--placement expert_tiered --host-pool-mib 40960` + **explicit VRAM
+partition `--vram-weights-mib 26071 --vram-kv-mib 3543`** (the vram-pair
+replaced `--expert-vs-cache-ratio`; the pair sizes the fp8-KV shape at the
+deployed boot), `--kv-cache-dtype fp8` (inherited from the fp8-native
+env), `--num-speculative-tokens 2`,
+`--max-num-batched-tokens 2048`, prefix cache 4 GiB pinned host + 64 GiB
+disk at `/home/dank/radiance-state`, **`--ngram-placement ram`**, Froggeric
+v22.5 chat template vendored (`scripts/qwen38-froggeric-v22.5.jinja`,
+`--override-chat-template`). Boot ledger: KV pool 3.46 GiB (~480k fp8
+tokens), two expert pools 57.84 GiB, cards settled 1.41 GiB free.
+
+Shape notes carried from the fp8-native era and unchanged: wht6 gains,
+MNDT 2048 law (2560 collapses decode to 2.6–7.7 t/s), the 64 GiB disk
+prefix cache, and the rule that a prompt over `--max-model-len` is
+refused, never truncated. What changed: the fp8-native era's NVMe expert
+streaming (the 3.5 GB/s wall) is gone — the w4 resident set fits the
+40 GiB pool, so decode ran 122–173 t/s in the campaign arms and ~190 t/s
+on the deployed shape (512-token streamed probe). The campaign also
+measured the int8-KV + spec-3 arm (136.0 t/s median at 44.5k depth,
+accept 0.7246); production shipped the fp8-KV + spec-2 pair at cutover —
+the KLD gate scored at the fp8-KV shape, so the gate and the boot agree.
+Disk-tier sizing law: the engine forces ~9.6 GiB of disk-tier weight
+buffers + arena onto the weights side, so `weights + kv` is capped near
+29.6 GiB/card; boot with the pair, never `--kv-cache-size-mib`.
+
+**The pinned-RAM ledger is why this is a root unit**: 2 × 40 GiB expert
+pools + the 47.7 GiB n-gram copy (`--ngram-placement ram` is pinned RAM
+the card reads) + 4 GiB prefix host ≈ **132 GiB** charged against
+`RLIMIT_MEMLOCK` — the TTM floor is set just above it.
+`ttm.pages_limit`/`pages_max` cap GPU-mappable pinned pages; the serve
+script's TTM preflight (`FRANK_PRIMARY_TTM_MIN_MIB=140000`) refuses to
+start until both knobs are raised in the stop window (sysfs write first,
+kernel cmdline + reboot only if read-only).
+
+**Contract facts** (source-verified): the HTTP listener binds AFTER the
+full load, so a bare `curl /health` gate is honest (`/health` == `/ping`,
+200 serving / 503 stopping); sampling params temperature…preserve_thinking
+accepted, **unknown params 400** (models.yml's extraBody set is fully
+inside it); `response_format` supported; `logprobs` REFUSED; reasoning in
+`reasoning_content` and tool calls in the qwen3.8 dialect via the auto
+chat format — no parser flags; vision native (the 27-layer Qwen-VL tower,
+`--mm-max-patches`); `/metrics` carries vLLM-compatible names +
+`radiance:*` families — the Dankclaw Prometheus scrape is re-added.
+
+Runbook: `serverAppConfigs-docs/LLM/frank-primary-radiance-swift15-w4dn8.md`.
+Retired fp8-native era: `serverAppConfigs-docs/LLM/frank-primary-radiance-qwen38-native-fp8.md`.
+Retired FreeToken era: `serverAppConfigs-docs/LLM/frank-primary-freetoken-pr587.md`.
+Retired vLLM era: `serverAppConfigs-docs/LLM/dankserver-qwen38-fp8-expert-offload-tuning.md`.
+Retired GLM experiment: `serverAppConfigs-docs/LLM/frank-primary-glm53-flash-w4a16.md`.

 ## Key Lessons Learned
 Durable operational lessons from the fleet's history. Full detail in the
@@ -590,15 +740,56 @@ linked runbooks.
  the KV pool is worse than the OOM it prevents.
 - Host swap state is invisible to `deploy.sh` (no repo file) — check
  `swapon --show` before reasoning about headroom.
+- **Silent RAM corruption outranks every software theory.** frank-primary's
+  ~40k-token output corruption (2026-10-04/05, repetition/garbage in long
+  agent conversations) was marginal DDR5 at 4800 MT/s on four DIMMs, fixed
+  by 4600. Consumer non-ECC memory raises **no MCE** for a silent flip, and
+  a short in-band pattern check (60 s, 8 GiB of 246 GiB) is not a stability
+  proof — combined, those two instruments said "ruled out" while the RAM
+  was the cause. "4800 is the JEDEC floor on 5600-rated DIMMs" is a rating,
+  not a margin guarantee. When the fault is data-shaped (NaN states,
+  garbage tokens) and a software revert doesn't move it, price in the RAM
+  before the runtime — and remember a revert tested under the same marginal
+  hardware is itself confounded. See the runbook's 2026-10-05 section.

 **Runtime-specific guards**

+- **Rootless podman cannot RAISE rlimits, and `--ulimit nofile=1048576`
+  dies at container create, not at runtime.** runc reports
+  `error setting rlimit type 7: operation not permitted` (type 7 =
+  RLIMIT_NOFILE) when the requested hard limit exceeds the host process's
+  hard limit — on Dankclaw that ceiling is 524288. Inherited-equal limits
+  are fine, so `memlock=-1:-1` works iff the unit grants
+  `LimitMEMLOCK=infinity` (systemd is privileged; the value flows through
+  podman to runc without any raise). Upstream halogen's own run lines pass
+  NO `--ulimit` at all — copy vendor run lines before adding flags
+  (measured 2026-10-05 on the frank-large cutover).
 - **Kairic Edge** (if ever re-deployed): the pinned CK commit needs
  `third_party/composable_kernel/include/ck/config.h` generated manually
  (untracked; `git clean` removes it), and its greedy-argmax fastpath rejects
  non-greedy requests and reasoning budgets. Re-test chat before production.
 - **FastMTP sidecar**: build must be commit `4df29be4` + the HauhauCS patch;
  stock binaries fail the draft load with a tensor-shape mismatch.
+- **A GGUF's custom tensor type picks the runtime — read the histogram before
+  promising a file to a loader.** `Qwen3.8-27B-Q8_0_ROCMFPX_AGENT.gguf` is
+  ftype 115 with 311 tensors of type 103 (`GGML_TYPE_Q8_0_ROCMFPX`); stock
+  llama.cpp and gufo refuse it at load, so ROCmFPX was not a preference but
+  the only door. Counting tensor types out of the GGUF KV section takes one
+  python read and settles a runtime argument in minutes. The build identity
+  matters as much as the fork: the 2026-08-25 ROCmFPX builds SIGSEGV in
+  `ggml_compute_forward_set_rows` on this same file, so
+  `scripts/build-rocmfpx.sh` pins commit `36e9acd` by SHA.
+- **Speculative-decode flags move as a SET.** Handing the ROCmFPX fork
+  `--model-draft` with no `--spec-type` (the naive way to build a "no MTP"
+  bench arm) segfaulted at load, core dumped, no diagnostic (2026-10-02). A
+  baseline arm must strip `--model-draft` AND every `--spec-draft-*` AND
+  `--spec-type`, or it measures a crash instead of the absence of drafting.
+- **An orphaned scratch server taxes the whole host.** A bench child left
+  alive by a client-side exception kept ~26 GiB of weights resident on a
+  121 GiB box, pushed `available` to 3 GiB, and every later rate was suspect.
+  Record the child pid and kill it in a `finally`, then prove `free` came back
+  before believing a number. Kill by pid — never `pkill -f llama-server`,
+  which also hits frank-secondary.

 **llama.cpp serving**

@@ -608,19 +799,26 @@ linked runbooks.
  the MAIN model's weights (`shares_model`), so there is no second copy of a
  12 GiB model in VRAM and no `-md` argument. The plain build has no MTP
  tensors at all, and pointing `--model-draft` at the file would load it twice.
- **What can be chained, and what cannot.** `--spec-type a,b` builds every
-  enabled implementation and chains drafting through them, in a fixed internal
-  order (ngram types first, then the drafters — CLI order is irrelevant). The
-  gate is `ctx_dft`: **draftless** types (the ngram family) are added
-  unconditionally, while `draft-mtp`, `draft-dflash`, `draft-dspark` and
-  `draft-eagle3` all require a draft CONTEXT. So a chain may hold one
-  context-backed drafter plus any number of ngram types — `draft-dflash,ngram-mod`
-  is legal and measured (2.6x the drafter alone on prompt-echo traffic, byte-
-  identical to it on prose at the fleet's 48/64 window) — but
-  `draft-mtp,draft-dflash` dies at load: *"context type MTP requested but model
-  doesn't contain MTP layers"*, because MTP builds its context against whatever
-  model the draft context holds. Two context-backed types cannot share one
-  process, and MTP's head only loads when MTP **is** the draft model.
+- **What can be chained, what cannot, and what a chain costs on a hybrid.**
+  `--spec-type a,b` builds every enabled implementation and chains drafting
+  through them, in a fixed internal order (ngram types first, then the
+  drafters — CLI order is irrelevant). The gate is `ctx_dft`: **draftless**
+  types (the ngram family) are added unconditionally, while `draft-mtp`,
+  `draft-dflash`, `draft-dspark` and `draft-eagle3` all require a draft
+  CONTEXT. So a chain may hold one context-backed drafter plus any number of
+  ngram types — `draft-dflash,ngram-mod` is legal and measured (2.6x the
+  drafter alone on prompt-echo traffic, byte-identical to it on prose at the
+  fleet's 48/64 window) — but `draft-mtp,draft-dflash` dies at load: *"context
+  type MTP requested but model doesn't contain MTP layers"*, because MTP
+  builds its context against whatever model the draft context holds. Two
+  context-backed types cannot share one process, and MTP's head only loads
+  when MTP **is** the draft model. **A LEGAL chain can still lose on a
+  recurrent model:** `draft-mtp,ngram-mod` on frank-large's qwen35 hybrid
+  measured −15 % prose / −7 % block-copy (2026-10-03) — adding the ngram layer
+  logs `recurrent state rollback is not compatible with 'ngram-mod' -
+  disabling rollback support`, and MTP verification depends on that rollback,
+  so acceptance drops on ALL traffic even where the matcher fires. Measure
+  chains per architecture, never by analogy.
 - **A drafter's KV scales with the TARGET's context, and its window policy
  decides how much that costs.** The draft context is built with
  `cparams.n_ctx = llama_n_ctx(ctx_tgt)` (`common/speculative.cpp`) — there is
@@ -637,7 +835,8 @@ linked runbooks.
  trip moved the balance point FOUR layers (~4.3 GiB of headroom, 40:25 ->
  36:29), which is the practical size of the effect. See
  [[frank-medium-llamacpp-dflash2]].
- **`--ubatch-size` has an OPTIMUM on this stack, not a plateau — and its
+- **`--ubatch-size` has an OPTIMUM on the 2x R9700 layer split, not a plateau —
+  and the curve is BACKEND-SPECIFIC, so never carry it across (next bullet). Its
  compute buffers land about TWICE as heavy on the card that holds the output
  layers and the drafter.** Measured on frank-medium 2026-09-16 at the deployed
  shape (262144 over two slots, a 64k prefill measured at 64k depth,
@@ -655,6 +854,19 @@ linked runbooks.
  its 2020 MiB pp buffer here under the DSpark drafter, when ROCm1 had 0.08 GiB
  free. That was a CONTIGUITY failure, not a total-bytes one, and no totals
  model — the sweep's or the seam's — can see it.)
+- **On the CUDA 3090 the same knob has NO interior optimum up to 2048, so
+  frank-secondary ships 4096/2048.** Measured 2026-10-05 by boot-pair A/B on the
+  live service: at 8,928 prompt tokens ubatch 1024 gives 3,972 / 4,077 t/s and
+  ubatch 2048 gives 4,207 / 4,212 — **+4.6 %** — for **616 MiB** (free 2,849 →
+  2,279). Decode did not move (91.9–93.0 vs 93.8–94.3, i.e. noise), and a
+  279-token prompt, which is below either ubatch, came back identical — that is
+  the mechanical proof the knob was the only variable, since a prompt shorter
+  than the ubatch cannot see it. The logical `--batch-size` was again free. And
+  the predecessor's "ubatch 2048 failed the scratch boot" was a shape
+  observation, not a law: the same file boots 2048 clean at 2 × 200,704. Bench
+  it by restarting the SERVICE through a transient `FRANK_SECONDARY_ENV_FILE`
+  drop-in, never a scratch port — one card holds one server. See
+  [[frank-secondary-llama-mimo-q6k-2x200704]].
 - **One `-ts` step is one LAYER, and a hybrid stack's layers are not the same
  size.** qwen35 is 16 x (3 Gated DeltaNet + 1 Gated Attention), so a step is
  worth ~0.43 GiB on a DeltaNet boundary and ~1.43 GiB on a full-attention one
@@ -671,6 +883,41 @@ linked runbooks.
  host-RAM hash table) and its window decides which traffic it can see: too
  short and it proposes on ordinary prose fragments, which costs verification
  without acceptance.
+- **`--parallel` divides the pool, so MORE conversations cost WINDOW, and the
+  per-slot number is the contract — not `ctx-size`.** `n_ctx_slot =
+  CTX_SIZE / PARALLEL`, and llama.cpp refuses a prompt longer than the SLOT
+  (`400 exceed_context_size_error: request (184001 tokens) exceeds the
+  available context size (180224 tokens)`) even when the pool has room. So
+  frank-secondary's 2 → 3 reslice moved each conversation from the model's native
+  262,144 down to 180,224, and `models.yml` `contextWindow` had to follow or
+  the harness would discover the ceiling as a 400 on a long conversation. Side
+  effect worth knowing: the shorter slot made decode ~5 % FASTER (106.8 vs
+  100.4 tok/s) — less attention to scan and one fewer DeltaNet state resident.
+  The 2026-10-03 reslice went the other way (3 → 2 slots, 180,224 → 200,704,
+  pool 401,408) to fund unquantized f16 V, and `contextWindow` followed again;
+  decode landed 104.8 tok/s — the ~2 % off 106.8 is the exact-V tax. The same
+  day the freed space also bought the Q6_K rung (now 94.4 tok/s — the rung
+  itself is a further measured −10 %, weight-bandwidth, not slot geometry).
+  All moves measured; both slot directions cost or buy window, never pool.
+  See [[frank-secondary-llama-mimo-q6k-2x200704]].
+- **Price a VRAM budget from two boots, never from a formula — and an mmproj
+  costs ~1.5x its file size.** The frank-secondary 3090 fit was solved from two
+  measurements: 2 × 262,144 with no projector = 20,190 MiB used (KV 12,800 ⇒
+  **non-KV 7,390**), 3 × 196,608 with the f16 projector = 22,972 used (KV
+  14,113 ⇒ **non-KV 8,859**). The difference is the vision tower: a 918 MB file
+  that bills ~1.4 GiB, because the encoder's activation and compute buffers
+  ride with it. Subtracting the two rows is exact; extrapolating weights+KV+
+  "a bit for buffers" is what leaves 1.1 GiB free when you meant 2.7. Then
+  solve `KV ≤ card − non-KV − headroom` and round to a multiple of
+  `PARALLEL × 4096`. Recorded in `scripts/frank-secondary.env` so the next resize
+  starts from measurement.
+- **`images` and `image_url` are NOT interchangeable: only the content part
+  reaches the model.** `--mmproj` loads, `usage.prompt_tokens` rises, and the
+  model still invents an answer if the client used the legacy top-level
+  `images` field on `/v1/chat/completions` — frank-secondary answered "Brown." for
+  a solid-red PNG that way and "Red." through the OpenAI `image_url` part. The
+  failure is silent because a hallucinated color is a plausible answer. Probe
+  vision with a solid color and expect an exact word.
 - **`--jinja` is what `tools` needs.** On 2026-09-16 a subagent died with
  `500 tools param requires --jinja flag`, from the ik_llama.cpp runtime that
  then served frank-large: every tool-using agent on that endpoint was broken
@@ -679,7 +926,7 @@ linked runbooks.
  returns `tool_calls`. Check tool support before routing a role at an endpoint.
 - **Quantized KV on CUDA needs `GGML_CUDA_FA_ALL_QUANTS=ON`** — the same
  option and the same ~12x prefill collapse described in the ROCm note above.
-  f16 KV needs nothing; frank-small ran f16 for that reason until
+  f16 KV needs nothing; frank-secondary ran f16 for that reason until
  2026-09-17, when `build-cuda` was rebuilt with the option ON so the
  endpoint could take q8_0 KV.
 - **llama-bench separates a LIST with `/` and SWEEP values with `,`.** Both
@@ -697,7 +944,7 @@ linked runbooks.
  raises on anything else — HTTP 500, not a clamp — so the harness's levels
  must be folded onto that set in `models.yml` (`compat.reasoningEffortMap`).
  A role whose level is unmapped fails on its FIRST request, and the failure
-  names Jinja, not the model: every subagent on `frank-small` died with
+  names Jinja, not the model: every subagent on `frank-secondary` died with
  `Unexpected reasoning effort high` until `high: xhigh` was added on
  2026-09-16. Halogen accepts the wider set, so the two entries legitimately
  differ.
@@ -771,9 +1018,9 @@ Active:

 | Service | Runbook |
 |---------|---------|
-| frank-large (stock llama.cpp Qwen3.8-27B UD-Q8_K_XL, Dankclaw) | `serverAppConfigs-docs/LLM/frank-large-unsloth-qwen38-27b-q8xl.md` |
-| frank-small (llama.cpp Gemma4-12B QAT, Dankclaw) | `serverAppConfigs-docs/LLM/frank-small-gemma4-12b.md` |
-| frank-primary (R9V radiance-vLLM Qwen3.8-Flash-Next Q8_0, Dankserver) | `serverAppConfigs-docs/LLM/frank-primary-r9v-radiance-qwen38-q8.md` |
+| frank-large (flash-server 0.16.2, abliterated Swift1.5 v2 .hgn + MTP always-on, 2×262,144, vision ON, Dankclaw) | `serverAppConfigs-docs/LLM/frank-large-flash-server-v2-swift15.md` |
+| frank-secondary (llama.cpp CUDA, Qwen3.5-9B-Uncensored Q6_K, 2×200,704 exact f16 KV MTP-off, vision ON, Dankclaw) | `serverAppConfigs-docs/LLM/frank-secondary-llama-qwen35-9b-q6k-2x200704.md` |
+| frank-primary (radiance StillDeadcode, Qwen3.8-Flash-Next-FP8 native, 2×R9700 TP=2, Dankserver) | `serverAppConfigs-docs/LLM/frank-primary-radiance-qwen38-native-fp8.md` |
 | Dankclaw kernel posture (`amd_iommu=off`) | `serverAppConfigs-docs/LLM/dankclaw-iommu-translation-off.md` |
 | Deployment flow + incidents | `serverAppConfigs-docs/LLM/deployment.md` |

@@ -781,6 +1028,21 @@ Retired (rollback targets and history):

 | Runtime | Host | Window | Runbook |
 |---------|------|--------|---------|
+| llama.cpp CUDA Gemma4-26B-A4B QAT Q4_K_M, 1×200,704 f16-K/q8_0-V MTP-off (`frank-secondary`) | Dankclaw | 2026-10-07 → 10-07 (same-day swap; rollback target — payload on disk; owns the `attention_k_eq_v` pair-billing KV law and the gemma4-assistant drafter-cost boots) | `frank-secondary-llama-gemma4-q4km-200704.md` |
+| ROCmFPX llama.cpp fork Qwen3.8-27B Uncensored Q6_0_ROCMFPX_AGENT + MTP (`frank-large`) | Dankclaw | 2026-10-03 → 10-05 (rollback target, payload + fork build on disk) | `frank-large-rocmfpx-q6agent-uncensored-mtp.md` |
+| tcclaviger vLLM fork Qwen3.8-Flash-Next-Uncensored FP8, TP=2, shape G (`frank-primary`) | Dankserver | 2026-09-29 → 10-05 (rollback target — tag `frank-primary-vllm-shapeG-20261003`; trio + env lore in the tag, image in rootless storage) | `dankserver-qwen38-fp8-expert-offload-tuning.md` |
+| FreeToken PR #587 ROCm, Qwen3.8-Flash-Next-Uncensored-FP8, ONE R9700 (`frank-primary`) | Dankserver | 2026-10-05 → 10-05 (rollback target — tag `frank-primary-freetoken-pr587-20261005`; trio + Dockerfile in the tag, image `localhost/frank-primary-freetoken:pr587-77a7201` and orcarouter payload on disk) | `frank-primary-freetoken-pr587.md` |
+| llama.cpp master MiMo-V2.6-Distill-Qwen-9B Q6_K 2×200,704 f16 KV (`frank-secondary`) | Dankclaw | 2026-10-03 → 10-05 (rollback target — payload on disk; owns the ubatch-2048 A/B; the Ornith swap of 10-05 was committed but never deployed, so this was the LIVE payload Swift replaced) | `frank-secondary-llama-mimo-q6k-2x200704.md` |
+| llama.cpp Ornith-1.5-9B Q8_0, ONE 262,144 f16 KV (`frank-secondary`) | Dankclaw | 2026-10-05 (committed 77decb5→380aafa, never deployed — superseded by Swift the same evening; payload on disk) | trail in `frank-secondary-llama-swift15-unc-iq3xxs-mtp-114688.md` |
+| llama.cpp CUDA Swift-1.5-27B Uncensored RCO IQ3_XXS-mtp, 2×114,688 draft-mtp q8_0 KV (`frank-secondary`) | Dankclaw | 2026-10-06 → 2026-10-07 (rollback target — payload on disk; owns the 3090 ubatch ladder A/B and the 34 KiB/token qwen35 KV law) | `frank-secondary-llama-swift15-unc-iq3xxs-mtp-114688.md` |
+| ROCmFPX llama.cpp fork Qwen3.8-27B Q8_0_ROCMFPX_AGENT + MTP (`frank-large`) | Dankclaw | 2026-10-02 → 10-03 (rollback target, payload on disk) | `frank-large-rocmfpx-q8agent-mtp.md` |
+| gufo v0.1.1 Qwen3.8-27B UD-Q8_K_XL/UD-Q4_K_XL + DFlash2 (`frank-large`) | Dankclaw | 2026-09-28 → 10-01, again 10-01 → 10-02 (payloads removed from disk 2026-10-03; rollback = re-download) | `frank-large-gufo-qwen38-27b.md` |
+| vLLM TheRock MiMo-V2.6-Distill-Qwen-9B BF16 + cross-model MTP (`frank-large`) | Dankclaw | 2026-10-01 (same-day rollback to gufo) | `frank-large-vllm-mimo-v26-bf16.md` |
+| llama.cpp master MiMo-V2.6-Distill-Qwen-9B Q6_K (`frank-secondary`) | Dankclaw | 2026-10-01 → 10-02 (the rung returned ACTIVE 2026-10-03 at the 2×200,704 shape — `frank-secondary-llama-mimo-q6k-2x200704.md`) | `frank-secondary-llama-mimo-q6k.md` |
+| llama.cpp master MiMo-V2.6-Distill-Qwen-9B Q5_K_M 2×200,704 f16 KV (`frank-secondary`) | Dankclaw | 2026-10-02 → 10-03 (rollback target — one `MODEL_FILE` line, buys back 875 MiB + the −10 % rung tax; owns the boot-pair table) | `frank-secondary-llama-mimo-q5km.md` |
+| SGLang MiMo-V2.6 INT8-W8A16-AutoRound (`frank-secondary`) | Dankclaw | 2026-10-01 (same-day swap to the GGUF path) | `frank-secondary-sglang-mimo-v26.md` |
+|tcclaviger vLLM GLM-5.3-Flash W4A16 int4, +/- DFlash2 drafter (`frank-primary`)|Dankserver|2026-09-30 → 10-01|`frank-primary-glm53-flash-w4a16.md`|
+| llama.cpp b11030 Qwen3.8-27B UD-Q8_K_XL + DFlash2 (`frank-large`) | Dankclaw | 2026-09-21 → 09-28 | `frank-large-unsloth-qwen38-27b-q8xl.md` |
 | R9V radiance-vLLM Qwen3.8-Flash-Next-Uncensored IQ4_XS (`frank-primary`) | Dankserver | 2026-09-27 (same-day swap to Q8_0) | `frank-primary-r9v-radiance-qwen38-uncensored.md` |
 | llama.cpp b11030 Qwen3.8-Flash-Next Q8_0 + shared MTP (`frank-primary`) | Dankserver | 2026-09-26 → 09-27 | `frank-primary-llamacpp-qwen38-flash-next-q8.md` |
 | ik_llama.cpp Qwen3.8-Flash-Next-Uncensored i1-Q4_K_M (`frank-large`) | Dankclaw | 2026-09-15 → 09-16 | `frank-large-ik-uncensored.md` |
@@ -791,15 +1053,16 @@ Retired (rollback targets and history):
 | CIRU v4.4.1 Orca Qwen3.8-Flash (`frank-large`) | Dankclaw | 2026-09-19 → 09-21 | `frank-large-ciru-orca.md` |
 | unsloth llama.cpp b11030 Qwen3.8-Flash-Next UD-IQ4_XS (`frank-large`) | Dankclaw | 2026-09-21 (same-day swap) | `frank-large-unsloth-qwen38-flash-next.md` |
 | Kairic Edge Qwen3.8-27B IU4 W4A4 (`frank-large`) | Dankclaw | 2026-09-21 (same-day swap) | `frank-large-kairic-edge-qwen38-27b.md` |
-| ISTA-DASLab Qwen3.8-27B-GSQ-RCO IQ3_S (`frank-small`) | Dankclaw | 2026-09-16 → 09-17 | `frank-small-qwen38-gsq-rco.md` |
-| vLLM Gemma4-12B w4a16 (`frank-small`) | Dankclaw | 2026-09-19 (same-day revert) | `frank-small-vllm-gemma4.md` |
+| ISTA-DASLab Qwen3.8-27B-GSQ-RCO IQ3_S (`frank-secondary`) | Dankclaw | 2026-09-16 → 09-17 | `frank-secondary-qwen38-gsq-rco.md` |
+| vLLM Gemma4-12B w4a16 (`frank-secondary`) | Dankclaw | 2026-09-19 (same-day revert) | `frank-secondary-vllm-gemma4.md` |
+| llama.cpp Gemma4-12B QAT Q4_K_M (`frank-secondary`) | Dankclaw | 2026-09-17 → 10-01 | `frank-secondary-gemma4-12b.md` |
 | agentionai ROCmFP4-FAST imatrix | Dankclaw | 2026-08-29 → 08-30 | `agentionai-fast-imatrix.md` |
 | eemin Qwen3.8-27B ROCmI4 W4A4 MTP | Dankclaw | 2026-08-18 → 08-25 | `eemin-rocmi4-mtp.md` |
 | Kairic Edge IU4 | Dankclaw | 2026-08-22 (same-day revert) | `kairic-edge.md` |
 | CIRU ActiveFPX v3 / PromptForge | Dankclaw | through 2026-08-22 | `ciru-activefpx-promptforge.md` |
 | DFlash2 Vulkan | Dankclaw | 2026-08-21 (same-day revert) | `dflash2-large-vulkan.md` |
 | FastFlowLM NPU (`frank-npu`) | Dankclaw | twice, retired 2026-09-11 | `frank-npu.md`, `FastFlowLM NPU Inference.md` |
-| FreeToken (official + Huihui FP8, `frank-small`) | Dankserver | 2026-09-02 → 09-15 | `freetoken-frank-small.md` |
+| FreeToken (official + Huihui FP8, `frank-secondary`) | Dankserver | 2026-09-02 → 09-15 | `freetoken-frank-small.md` |
 | FastMTP patched llama.cpp | Dankserver | retired 2026-08-18 | `qwen3.8-spec-matrix.md` |
 | ik_llama.cpp Ornith CRACK | Dankserver | retired 2026-09-02 | `ikllama-ornith-dankserver.md` |
 | llama.cpp layer split + DFlash2 (`frank-medium`) | Dankserver | 2026-09-16 → 09-20 | `frank-medium-llamacpp-dflash2.md` |
@@ -13,7 +13,7 @@ one deploy script.
 | Host | User | IP | Podman stack | LLM service | LLM port |
 |------|------|----|--------------|-------------|----------|
 | dankserver | dank | 192.168.0.235 | media and library | frank-medium (ROCmFPX llama.cpp, Qwen3.8-27B AGENT) | 7770 |
-| dankclaw | dank | 192.168.0.143 | AI, search, development, observability | frank-large (CIRU ROCmFPX, Qwen3.8-27B) | 7770 |
+| dankclaw | dank | 192.168.0.143 | AI, search, development, observability | frank-large (gufo, Qwen3.8-27B UD-Q8_K_XL) | 7770 |

 ## Active Services

@@ -0,0 +1,26 @@
+#!/usr/bin/env bash
+# autoresearch.sh — canonical frank-primary benchmark entry point (dev box).
+#
+# The service runs on dankserver (192.168.0.235:7770), the two R9700s live
+# there, and the benchmark must own those cards, so the whole stop -> boot
+# scratch -> bench -> restore sequence runs ON dankserver (see
+# scripts/autoresearch-frank-primary.sh). This wrapper:
+#   1. copies the candidate config (the repo's scripts/frank-primary.env, the
+#      file the autoresearch loop edits) and the bench script to dankserver,
+#   2. runs the bench over ssh, relaying its stdout (the METRIC lines) and
+#      exit code back here verbatim.
+# It deliberately does NOT push to origin: the scp dirties dankserver's
+# working tree, and the loop's uncommitted candidate config must not be
+# pushed. Only this file and scripts/autoresearch-frank-primary.sh are
+# committed; the candidate env rides over ssh each run.
+set -uo pipefail
+DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+REMOTE=dankserver
+REMOTE_REPO=/home/dank/serverAppConfigs
+
+scp -q "$DIR/scripts/frank-primary.env" \
+    "$REMOTE:$REMOTE_REPO/scripts/frank-primary.env" || { echo "scp env failed" >&2; exit 1; }
+scp -q "$DIR/scripts/autoresearch-frank-primary.sh" \
+    "$REMOTE:$REMOTE_REPO/scripts/autoresearch-frank-primary.sh" || { echo "scp script failed" >&2; exit 1; }
+
+ssh "$REMOTE" "bash $REMOTE_REPO/scripts/autoresearch-frank-primary.sh $REMOTE_REPO/scripts/frank-primary.env"
@@ -337,7 +337,16 @@ http://:8017 {
 			try_files /docs.html
 			file_server
 		}
-		@data path /services.json /status.json /app.js /style.css /deployed.js
+		# /whoami echoes the outpost-injected identity headers so the page
+		# can gate the admin button client-side (the /admin* 403 above stays
+		# the real gate; this only decides what is shown). The outpost strips
+		# client-supplied X-Authentik-* before injecting, so this is spoof-proof.
+		handle /whoami {
+			templates
+			header Content-Type application/json
+			respond "{\"user\":\"{header.X-Authentik-Username}\",\"groups\":\"{header.X-Authentik-Groups}\"}"
+		}
+		@data path /services.json /status.json /app.js /style.css /deployed.js /img/* /sfx/*
 		handle @data {
 			file_server
 		}
@@ -0,0 +1,64 @@
+{
+  "3": {
+    "class_type": "CLIPTextEncode",
+    "_meta": { "title": "Positive prompt" },
+    "inputs": {
+      "text": "A detailed illustration of a 1930s Soviet industrial design bureau at night: a well-measured engineer at a drafting table, a warm desk lamp, rolled blueprints, gears and calipers on the desk, deep red and cream palette, gouache painterly style, intricate mechanical detail, soft shadows",
+      "clip": [ "6", 0 ]
+    }
+  },
+  "4": {
+    "class_type": "CLIPTextEncode",
+    "_meta": { "title": "Negative prompt" },
+    "inputs": {
+      "text": "lowres, blurry, deformed, extra limbs, watermark, signature, jpeg artifacts",
+      "clip": [ "6", 0 ]
+    }
+  },
+  "5": {
+    "class_type": "UNETLoader",
+    "_meta": { "title": "Qwen Image 2.1 (int8)" },
+    "inputs": { "unet_name": "qwen_image_2.1_int8_convrot.safetensors", "weight_dtype": "default" }
+  },
+  "6": {
+    "class_type": "CLIPLoader",
+    "_meta": { "title": "Qwen3-VL 8B text encoder (w4a8)" },
+    "inputs": { "clip_name": "qwen3vl_8b_w4a8.safetensors", "type": "qwen_image" }
+  },
+  "7": {
+    "class_type": "VAELoader",
+    "_meta": { "title": "VAE" },
+    "inputs": { "vae_name": "qwen_image_2.1_vae_bf16.safetensors" }
+  },
+  "8": {
+    "class_type": "EmptySD3LatentImage",
+    "_meta": { "title": "Empty Latent 1024x1024" },
+    "inputs": { "width": 1024, "height": 1024, "batch_size": 1 }
+  },
+  "9": {
+    "class_type": "KSampler",
+    "_meta": { "title": "KSampler" },
+    "inputs": {
+      "model": [ "5", 0 ],
+      "seed": 1930,
+      "steps": 20,
+      "cfg": 1.0,
+      "sampler_name": "euler",
+      "scheduler": "simple",
+      "positive": [ "3", 0 ],
+      "negative": [ "4", 0 ],
+      "latent_image": [ "8", 0 ],
+      "denoise": 1.0
+    }
+  },
+  "10": {
+    "class_type": "VAEDecode",
+    "_meta": { "title": "VAE Decode" },
+    "inputs": { "samples": [ "9", 0 ], "vae": [ "7", 0 ] }
+  },
+  "11": {
+    "class_type": "SaveImage",
+    "_meta": { "title": "Save Image (art)" },
+    "inputs": { "filename_prefix": "qwen21-art", "images": [ "10", 0 ] }
+  }
+}
@@ -0,0 +1,64 @@
+{
+  "3": {
+    "class_type": "CLIPTextEncode",
+    "_meta": { "title": "Positive prompt (legible text)" },
+    "inputs": {
+      "text": "Clean minimalist movie-poster design, dark charcoal background with a subtle vintage grain. Centered large bold white sans-serif text reading \"SOLIDARITY OF THE SOVIET COMPUTER SYSTEMS\", perfectly legible, crisp letterforms, even letter spacing. Below it, a smaller line of yellow text reading \"DANKCLAW DANKSERVER EST 2026\", equally legible. Flat graphic design, high contrast, generous margins, no other words, no watermark",
+      "clip": [ "6", 0 ]
+    }
+  },
+  "4": {
+    "class_type": "CLIPTextEncode",
+    "_meta": { "title": "Negative prompt" },
+    "inputs": {
+      "text": "blurry, illegible, misspelled, warped letters, extra text, watermark, signature, lowres, jpeg artifacts",
+      "clip": [ "6", 0 ]
+    }
+  },
+  "5": {
+    "class_type": "UNETLoader",
+    "_meta": { "title": "Qwen Image 2.1 (int8)" },
+    "inputs": { "unet_name": "qwen_image_2.1_int8_convrot.safetensors", "weight_dtype": "default" }
+  },
+  "6": {
+    "class_type": "CLIPLoader",
+    "_meta": { "title": "Qwen3-VL 8B text encoder (w4a8)" },
+    "inputs": { "clip_name": "qwen3vl_8b_w4a8.safetensors", "type": "qwen_image" }
+  },
+  "7": {
+    "class_type": "VAELoader",
+    "_meta": { "title": "VAE" },
+    "inputs": { "vae_name": "qwen_image_2.1_vae_bf16.safetensors" }
+  },
+  "8": {
+    "class_type": "EmptySD3LatentImage",
+    "_meta": { "title": "Empty Latent 832x1216 poster" },
+    "inputs": { "width": 832, "height": 1216, "batch_size": 1 }
+  },
+  "9": {
+    "class_type": "KSampler",
+    "_meta": { "title": "KSampler" },
+    "inputs": {
+      "model": [ "5", 0 ],
+      "seed": 2026,
+      "steps": 25,
+      "cfg": 1.0,
+      "sampler_name": "euler",
+      "scheduler": "simple",
+      "positive": [ "3", 0 ],
+      "negative": [ "4", 0 ],
+      "latent_image": [ "8", 0 ],
+      "denoise": 1.0
+    }
+  },
+  "10": {
+    "class_type": "VAEDecode",
+    "_meta": { "title": "VAE Decode" },
+    "inputs": { "samples": [ "9", 0 ], "vae": [ "7", 0 ] }
+  },
+  "11": {
+    "class_type": "SaveImage",
+    "_meta": { "title": "Save Image (text poster)" },
+    "inputs": { "filename_prefix": "qwen21-text", "images": [ "10", 0 ] }
+  }
+}
@@ -10,15 +10,15 @@ model:
  provider: dankclaw-large
  base_url: http://192.168.0.143:7770/v1
  api_key: not-needed
-  default: frank-large
+  default: frank-dragoon

 providers:
  dankclaw-large:
    api: http://192.168.0.143:7770/v1
    discover_models: false
    models:
-      frank-large:
-        context_length: 114688
+      frank-dragoon:
+        context_length: 262144
  dankserver-small:
    api: http://192.168.0.235:7770/v1
    discover_models: false
@@ -29,7 +29,7 @@ providers:
 # Auxiliary routing from the live configuration. Named providers route via
 # their `api:` URL; `custom` entries route by their explicit `base_url`.
 auxiliary:
-  vision: {provider: dankclaw-large, model: frank-large}
+  vision: {provider: dankclaw-large, model: frank-dragoon}
  web_extract: {provider: dankserver-small, model: frank-medium}
  compression: {provider: dankserver-small, model: frank-medium}
  skills_hub: {provider: dankserver-small, model: frank-medium}
@@ -50,8 +50,8 @@ auxiliary:
        effort: none
  memory_query_rewrite: {provider: custom, model: frank-medium, base_url: http://192.168.0.235:7770/v1}
  tts_audio_tags: {provider: custom, model: frank-medium, base_url: http://192.168.0.235:7770/v1}
-  triage_specifier: {provider: dankclaw-large, model: frank-large}
-  kanban_decomposer: {provider: dankclaw-large, model: frank-large}
+  triage_specifier: {provider: dankclaw-large, model: frank-dragoon}
+  kanban_decomposer: {provider: dankclaw-large, model: frank-dragoon}
  profile_describer: {provider: dankserver-small, model: frank-medium}
  curator: {provider: dankserver-small, model: frank-medium}

@@ -0,0 +1,76 @@
+#!/usr/bin/env bash
+# Download the z-lab Qwen3.5-9B-DFlash drafter for frank-large's DFlash
+# speculative-decode arm (vLLM --speculative-config method=dflash). Public
+# repo — no auth header on the command line.
+#
+# The drafter is a 6-layer qwen3 draft whose dflash_config pins
+# target_layer_ids [1,5,9,13,17,21,25,29] and block_size 16; its hidden_size
+# 4096 / vocab_size 248320 match the MiMo-V2.6-Distill-Qwen-9B target exactly
+# (both preserve the Qwen3.5-9B geometry), which is what lets vLLM load it as
+# the draft for that target.
+#
+# Usage:
+#   scripts/download-frank-large-dflash.sh [DEST_DIR] [--verify-only]
+set -euo pipefail
+
+REPO="z-lab/Qwen3.5-9B-DFlash"
+BASE="https://huggingface.co/${REPO}/resolve/main"
+
+DEST=""
+VERIFY_ONLY=0
+for arg in "$@"; do
+    case "$arg" in
+        --verify-only) VERIFY_ONLY=1 ;;
+        *) DEST="$arg" ;;
+    esac
+done
+DEST="${DEST:-/home/dank/models/Qwen3.5-9B-DFlash}"
+
+# name bytes sha256(- = non-LFS, size-only check)
+FILES=(
+  "model.safetensors 2583816465 0a42274b32554f48de1faa0d42824e9c2ceda649c30ae0a731cddf410dd698c7"
+  "config.json 1222 -"
+)
+
+mkdir -p "$DEST"
+status=0
+for entry in "${FILES[@]}"; do
+  read -r name size sha <<<"$entry"
+  f="$DEST/$name"
+  have=0
+  if [[ -f "$f" ]] && [[ "$(stat -c%s "$f")" == "$size" ]]; then
+    if [[ "$sha" == "-" ]] || sha256sum -c --quiet <(printf '%s  %s\n' "$sha" "$f"); then
+      have=1
+    fi
+  fi
+  if (( have )); then
+    echo "OK        $name"
+    continue
+  fi
+  if (( VERIFY_ONLY )); then
+    echo "MISSING   $name"
+    status=1
+    continue
+  fi
+  echo "FETCHING  $name"
+  tmp="$f.part"
+  curl -fsSL --fail-with-body -o "$tmp" "$BASE/$name"
+  mv "$tmp" "$f"
+  if [[ "$(stat -c%s "$f")" != "$size" ]]; then
+    echo "SIZE FAIL $name ($(stat -c%s "$f") != $size)"
+    status=1
+    continue
+  fi
+  if [[ "$sha" != "-" ]] && ! sha256sum -c --quiet <(printf '%s  %s\n' "$sha" "$f"); then
+    echo "SHA FAIL  $name"
+    status=1
+    continue
+  fi
+  echo "VERIFIED  $name"
+done
+if (( status == 0 )); then
+  echo "DOWNLOAD_DONE $DEST"
+else
+  echo "DOWNLOAD_FAILED $DEST" >&2
+fi
+exit "$status"
@@ -0,0 +1,90 @@
+#!/usr/bin/env bash
+# Download the BF16 MiMo-V2.6-Distill-Qwen-9B payload for frank-large
+# (vLLM/kyuz0 gfx1151, Strix Halo iGPU). Public repo — no auth header on the
+# command line (a Bearer token in argv is world-readable via /proc).
+#
+# Per-file FRESH downloads, no resume: the house rule (see
+# download-frank-secondary.sh); -f/--fail-with-body plus size+sha256 against the
+# Hub LFS oid is what makes an access error fail instead of "succeeding".
+#
+# Usage:
+#   scripts/download-frank-large-mimo.sh [DEST_DIR] [--verify-only]
+#
+# The verified set below is exactly what the 2026-10-01 bench window served:
+# 17.53 GiB of BF16 weights (4 shards, 18,819,720,848 B total with the rest).
+set -euo pipefail
+
+REPO="XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B"
+BASE="https://huggingface.co/${REPO}/resolve/main"
+
+DEST=""
+VERIFY_ONLY=0
+for arg in "$@"; do
+    case "$arg" in
+        --verify-only) VERIFY_ONLY=1 ;;
+        *) DEST="$arg" ;;
+    esac
+done
+DEST="${DEST:-/home/dank/models/MiMo-V2.6-Distill-Qwen-9B-BF16}"
+
+# name bytes sha256(- = non-LFS, size-only check)
+FILES=(
+  "model-00001-of-00004.safetensors 5276436216 aab052180118aee34abc3029b54eaa49096aac606b97d703866b420dceb703c3"
+  "model-00002-of-00004.safetensors 5033171280 7a0486565f06d25ac4628e9dba470dc3f604353471d240d5a0bf7128f64df396"
+  "model-00003-of-00004.safetensors 5234499504 6c73207563d1879bfd6c143a028cc70be68edff56280458c71a43df4240300f4"
+  "model-00004-of-00004.safetensors 3275613848 1379a7cf8c0b8555a39ab65a47e830e0eb45e776b46045734da3afd73c09eea2"
+  "model.safetensors.index.json 69217 -"
+  "config.json 2784 -"
+  "generation_config.json 126 -"
+  "chat_template.jinja 3916 -"
+  "tokenizer.json 19989325 06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523"
+  "tokenizer_config.json 1165 -"
+  "vocab.json 6722759 -"
+  "merges.txt 3353259 -"
+  "preprocessor_config.json 443 -"
+  "processor_config.json 1191 -"
+  "video_preprocessor_config.json 385 -"
+)
+
+mkdir -p "$DEST"
+status=0
+for entry in "${FILES[@]}"; do
+  read -r name size sha <<<"$entry"
+  f="$DEST/$name"
+  have=0
+  if [[ -f "$f" ]] && [[ "$(stat -c%s "$f")" == "$size" ]]; then
+    if [[ "$sha" == "-" ]] || sha256sum -c --quiet <(printf '%s  %s\n' "$sha" "$f"); then
+      have=1
+    fi
+  fi
+  if (( have )); then
+    echo "OK        $name"
+    continue
+  fi
+  if (( VERIFY_ONLY )); then
+    echo "MISSING   $name"
+    status=1
+    continue
+  fi
+  echo "FETCHING  $name"
+  tmp="$f.part"
+  curl -fsSL --fail-with-body -o "$tmp" "$BASE/$name"
+  mv "$tmp" "$f"
+  if [[ "$(stat -c%s "$f")" != "$size" ]]; then
+    echo "SIZE FAIL $name ($(stat -c%s "$f") != $size)"
+    status=1
+    continue
+  fi
+  if [[ "$sha" != "-" ]] && ! sha256sum -c --quiet <(printf '%s  %s\n' "$sha" "$f"); then
+    echo "SHA FAIL  $name"
+    status=1
+    continue
+  fi
+  echo "VERIFIED  $name"
+done
+if (( status == 0 )); then
+  echo "DOWNLOAD_DONE $DEST"
+else
+  echo "DOWNLOAD_FAILED $DEST" >&2
+fi
+exit "$status"
@@ -0,0 +1,85 @@
+#!/usr/bin/env bash
+# Download the source Qwen3.5-9B checkpoint — the ONLY place this model
+# family's MTP head (15 mtp.* tensors) exists. frank-large runs it as the
+# vLLM cross-model MTP draft (MiMo-V2.6-Distill-Qwen-9B itself ships zero
+# mtp tensors; that is why SGLang's NEXTN on frank-secondary draws 0.00
+# acceptance). Public repo — no auth header on the command line.
+#
+# NOTE the odd upstream shard names (model.safetensors-0000N-of-00004...).
+#
+# Usage:
+#   scripts/download-frank-large-qwen35.sh [DEST_DIR] [--verify-only]
+set -euo pipefail
+
+REPO="Qwen/Qwen3.5-9B"
+BASE="https://huggingface.co/${REPO}/resolve/main"
+
+DEST=""
+VERIFY_ONLY=0
+for arg in "$@"; do
+    case "$arg" in
+        --verify-only) VERIFY_ONLY=1 ;;
+        *) DEST="$arg" ;;
+    esac
+done
+DEST="${DEST:-/home/dank/models/Qwen3.5-9B}"
+
+# name bytes sha256(- = non-LFS, size-only check)
+FILES=(
+  "model.safetensors-00001-of-00004.safetensors 5276436216 db6f444b43d318c92f360a13a25561a6a65b10c0631b8ed305a426dbaa6c380e"
+  "model.safetensors-00002-of-00004.safetensors 5335161512 31c7d7e2dd5d207840b31cc59083c8f4c4718959149e0358c0364052bb9a0330"
+  "model.safetensors-00003-of-00004.safetensors 5368717440 7ec36ba3a4176a44c3c0876ad80c56a2f70c84bf008d82e9501df642f17dadec"
+  "model.safetensors-00004-of-00004.safetensors 3325995712 b62b0c4cd7e44edee103ee8f4fe225f246d5e768e07bfd5f25b63a8aa1fdd0c6"
+  "model.safetensors.index.json 79657 -"
+  "config.json 3126 -"
+  "chat_template.jinja 7756 -"
+  "tokenizer.json 12807982 5f9e4d4901a92b997e463c1f46055088b6cca5ca61a6522d1b9f64c4bb81cb42"
+  "tokenizer_config.json 16710 -"
+  "vocab.json 6722759 -"
+  "merges.txt 3353259 -"
+  "preprocessor_config.json 390 -"
+  "video_preprocessor_config.json 385 -"
+)
+
+mkdir -p "$DEST"
+status=0
+for entry in "${FILES[@]}"; do
+  read -r name size sha <<<"$entry"
+  f="$DEST/$name"
+  have=0
+  if [[ -f "$f" ]] && [[ "$(stat -c%s "$f")" == "$size" ]]; then
+    if [[ "$sha" == "-" ]] || sha256sum -c --quiet <(printf '%s  %s\n' "$sha" "$f"); then
+      have=1
+    fi
+  fi
+  if (( have )); then
+    echo "OK        $name"
+    continue
+  fi
+  if (( VERIFY_ONLY )); then
+    echo "MISSING   $name"
+    status=1
+    continue
+  fi
+  echo "FETCHING  $name"
+  tmp="$f.part"
+  curl -fsSL --fail-with-body -o "$tmp" "$BASE/$name"
+  mv "$tmp" "$f"
+  if [[ "$(stat -c%s "$f")" != "$size" ]]; then
+    echo "SIZE FAIL $name ($(stat -c%s "$f") != $size)"
+    status=1
+    continue
+  fi
+  if [[ "$sha" != "-" ]] && ! sha256sum -c --quiet <(printf '%s  %s\n' "$sha" "$f"); then
+    echo "SHA FAIL  $name"
+    status=1
+    continue
+  fi
+  echo "VERIFIED  $name"
+done
+if (( status == 0 )); then
+  echo "DOWNLOAD_DONE $DEST"
+else
+  echo "DOWNLOAD_FAILED $DEST" >&2
+fi
+exit "$status"
@@ -0,0 +1,93 @@
+#!/usr/bin/env bash
+# Download MiMo-V2.6-Distill-Qwen-9B-INT8-W8A16-AutoRound for frank-secondary
+# (SGLang, RTX 3090). Public repo — no auth header on the command line.
+#
+# Per-file FRESH downloads, no resume: `curl -C -` once produced a 213 MB
+# oversized file on a 31 GiB payload; a fresh -f fetch plus size+sha256 is
+# the house rule.
+#
+# Usage:
+#   scripts/download-frank-secondary.sh [DEST_DIR] [--verify-only]
+#
+# LFS shards are verified against the Hub LFS sha256; non-LFS text files
+# against their declared byte size. Idempotent: complete files are skipped.
+set -euo pipefail
+
+REPO="letechlead/MiMo-V2.6-Distill-Qwen-9B-INT8-W8A16-AutoRound"
+BASE="https://huggingface.co/${REPO}/resolve/main"
+
+DEST=""
+VERIFY_ONLY=0
+for arg in "$@"; do
+    case "$arg" in
+        --verify-only) VERIFY_ONLY=1 ;;
+        *) DEST="$arg" ;;
+    esac
+done
+DEST="${DEST:-/home/dank/models/MiMo-V2.6-Distill-Qwen-9B-INT8-W8A16-AutoRound}"
+
+# name bytes sha256(- = non-LFS, size-only check)
+FILES=(
+  "model-00001-of-00008.safetensors 2946296312 ddb6117c04cb6feaf7c265e5d75efadf21949037d73253a8e4521d40e164366d"
+  "model-00002-of-00008.safetensors 1402134792 2dc78d55d1d33d7b3b21dd6f8b4b817b62c2fb1376e6448b322428798c10e257"
+  "model-00003-of-00008.safetensors 1427365904 5c797d14e345309d67c78306b9de4aa01a21dbd92dd98e40b0ad69b2900e9203"
+  "model-00004-of-00008.safetensors 1420041856 7402f852e2c7a24ebf4694b98a220e71dfb2c93ba3776272cf2acfc65acd8126"
+  "model-00005-of-00008.safetensors 1410655648 991cbf2eda2ff91fc3ffbb15591d7fcac340fb10d9c33bd3da20010e2f3f4090"
+  "model-00006-of-00008.safetensors 1427627856 efc42448054cfb5e3061e154ba4539204088ce95176d689a95b58de885ef7eeb"
+  "model-00007-of-00008.safetensors 2035442408 75a101fc71ae6f2e1f5c4816f711d62cf1d7a0e02ef6e5182361b8c11e72b626"
+  "model-00008-of-00008.safetensors 822153664 0fb90cb50e2d336fbad58bd4c01880eeddbf537c1dca1cf0ae291195d5efbb4b"
+  "tokenizer.json 19989325 06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523"
+  "model.safetensors.index.json 106278 -"
+  "config.json 4608 -"
+  "generation_config.json 161 -"
+  "quantization_config.json 1654 -"
+  "chat_template.jinja 3916 -"
+  "tokenizer_config.json 1168 -"
+  "preprocessor_config.json 443 -"
+  "processor_config.json 1191 -"
+  "README.md 8448 -"
+)
+
+mkdir -p "$DEST"
+status=0
+for entry in "${FILES[@]}"; do
+  read -r name size sha <<<"$entry"
+  f="$DEST/$name"
+  have=0
+  if [[ -f "$f" ]] && [[ "$(stat -c%s "$f")" == "$size" ]]; then
+    if [[ "$sha" == "-" ]] || sha256sum -c --quiet <(printf '%s  %s\n' "$sha" "$f"); then
+      have=1
+    fi
+  fi
+  if (( have )); then
+    echo "OK        $name"
+    continue
+  fi
+  if (( VERIFY_ONLY )); then
+    echo "MISSING   $name"
+    status=1
+    continue
+  fi
+  echo "FETCHING  $name"
+  tmp="$f.part"
+  # no -C resume; -f + --fail-with-body so an HTTP error is not a success
+  curl -fsSL --fail-with-body -o "$tmp" "$BASE/$name"
+  mv "$tmp" "$f"
+  if [[ "$(stat -c%s "$f")" != "$size" ]]; then
+    echo "SIZE FAIL $name ($(stat -c%s "$f") != $size)"
+    status=1
+    continue
+  fi
+  if [[ "$sha" != "-" ]] && ! sha256sum -c --quiet <(printf '%s  %s\n' "$sha" "$f"); then
+    echo "SHA FAIL  $name"
+    status=1
+    continue
+  fi
+  echo "VERIFIED  $name"
+done
+if (( status == 0 )); then
+  echo "DOWNLOAD_DONE $DEST"
+else
+  echo "DOWNLOAD_FAILED $DEST" >&2
+fi
+exit "$status"
@@ -0,0 +1,86 @@
+# Subsurface Aquifer Monitoring Network - System Design Document (Revision 7)
+
+This document describes the deployment of a subsurface aquifer monitoring network for the Cascadia sedimentary basin. It is written for the operations crew and the regional water authority. Every sensor node, relay, aggregation service, calibration procedure, and failure mode below carries a stable alphanumeric identifier that appears in every table and in the field notes.
+
+## Sensor nodes
+Node SN-000-08B9 sits in a discharge lens at 359.0 m below datum and reports a salinity of 2.38 ppt with the fractured interval reading 5.40 degC at dawn and the wellhead porous 1.72 m3/d while the electrode pair returns 3157 uS/cm.
+Node SN-001-0A65 sits in a percolate lens at 25.9 m below datum and steps down to a salinity of 2.13 ppt with the diapir interval reading 8.55 degC at dawn and the wellhead silty 0.67 m3/d while the electrode pair returns 979 uS/cm.
+Node SN-002-0571 sits in a diapir lens at 287.8 m below datum and peaks at a salinity of 7.63 ppt with the karst interval reading 4.26 degC at dawn and the wellhead spooned 11.50 m3/d while the electrode pair returns 2987 uS/cm.
+Node SN-003-0CE9 sits in a confining lens at 169.5 m below datum and logs a salinity of 0.96 ppt with the alluvial interval reading 5.03 degC at dawn and the wellhead salinized 12.08 m3/d while the electrode pair returns 2607 uS/cm.
+Node SN-004-0E2A sits in a freshened lens at 70.4 m below datum and settles near a salinity of 8.68 ppt with the spooned interval reading 4.88 degC at dawn and the wellhead siphon 4.38 m3/d while the electrode pair returns 2707 uS/cm.
+Node SN-005-0DDD sits in a percolate lens at 44.6 m below datum and reports a salinity of 6.25 ppt with the alluvial interval reading 10.85 degC at dawn and the wellhead brackish 13.99 m3/d while the electrode pair returns 3618 uS/cm.
+Node SN-006-0EFC sits in a till lens at 309.5 m below datum and reports a salinity of 3.49 ppt with the lacustrine interval reading 7.38 degC at dawn and the wellhead spooned 3.21 m3/d while the electrode pair returns 1253 uS/cm.
+Node SN-007-0B02 sits in a recharge lens at 262.0 m below datum and steps down to a salinity of 2.38 ppt with the discharge interval reading 8.18 degC at dawn and the wellhead perched 4.05 m3/d while the electrode pair returns 3900 uS/cm.
+Node SN-008-0448 sits in a karst lens at 406.5 m below datum and reports a salinity of 7.32 ppt with the upconing interval reading 6.17 degC at dawn and the wellhead fluvial 0.75 m3/d while the electrode pair returns 1448 uS/cm.
+Node SN-009-043C sits in a alluvial lens at 159.3 m below datum and flags a salinity of 6.20 ppt with the percolate interval reading 7.60 degC at dawn and the wellhead brackish 13.01 m3/d while the electrode pair returns 2025 uS/cm.
+Node SN-010-0FF5 sits in a karst lens at 264.2 m below datum and flags a salinity of 7.05 ppt with the freshened interval reading 7.88 degC at dawn and the wellhead siphon 8.41 m3/d while the electrode pair returns 1635 uS/cm.
+Node SN-011-098A sits in a drain lens at 365.7 m below datum and reports a salinity of 8.11 ppt with the wedge interval reading 5.51 degC at dawn and the wellhead glacial 2.52 m3/d while the electrode pair returns 2916 uS/cm.
+Node SN-012-0AE8 sits in a till lens at 259.6 m below datum and steps down to a salinity of 9.13 ppt with the recharge interval reading 11.60 degC at dawn and the wellhead spooned 0.46 m3/d while the electrode pair returns 3077 uS/cm.
+Node SN-013-0B83 sits in a salinized lens at 171.2 m below datum and peaks at a salinity of 2.83 ppt with the lacustrine interval reading 5.56 degC at dawn and the wellhead discharge 0.35 m3/d while the electrode pair returns 3083 uS/cm.
+Node SN-014-032E sits in a drain lens at 249.6 m below datum and flags a salinity of 1.09 ppt with the salinized interval reading 9.58 degC at dawn and the wellhead perched 12.00 m3/d while the electrode pair returns 2221 uS/cm.
+Node SN-015-004F sits in a aeolian lens at 264.4 m below datum and reports a salinity of 7.34 ppt with the salinized interval reading 8.76 degC at dawn and the wellhead perched 0.31 m3/d while the electrode pair returns 1483 uS/cm.
+Node SN-016-07C6 sits in a aeolian lens at 155.9 m below datum and reports a salinity of 0.64 ppt with the mineralized interval reading 11.75 degC at dawn and the wellhead diluted 13.46 m3/d while the electrode pair returns 524 uS/cm.
+Node SN-017-06C5 sits in a salinized lens at 72.1 m below datum and averages a salinity of 4.52 ppt with the siphon interval reading 8.93 degC at dawn and the wellhead confining 3.98 m3/d while the electrode pair returns 3687 uS/cm.
+Node SN-018-0E64 sits in a siphon lens at 334.9 m below datum and steps down to a salinity of 6.73 ppt with the salinized interval reading 7.63 degC at dawn and the wellhead freshened 9.64 m3/d while the electrode pair returns 1681 uS/cm.
+Node SN-019-0122 sits in a spooned lens at 117.2 m below datum and logs a salinity of 3.24 ppt with the fractured interval reading 9.26 degC at dawn and the wellhead karst 3.50 m3/d while the electrode pair returns 1065 uS/cm.
+Node SN-020-021D sits in a karst lens at 414.3 m below datum and recovers to a salinity of 0.76 ppt with the glacial interval reading 6.25 degC at dawn and the wellhead silty 9.60 m3/d while the electrode pair returns 1041 uS/cm.
+Node SN-021-06C6 sits in a percolate lens at 379.2 m below datum and drifts to a salinity of 7.61 ppt with the wedge interval reading 5.84 degC at dawn and the wellhead karst 1.65 m3/d while the electrode pair returns 1913 uS/cm.
+Node SN-022-0DC9 sits in a spooned lens at 327.1 m below datum and reports a salinity of 9.25 ppt with the freshened interval reading 5.05 degC at dawn and the wellhead silty 5.90 m3/d while the electrode pair returns 1544 uS/cm.
+Node SN-023-0717 sits in a karst lens at 222.0 m below datum and steps down to a salinity of 4.02 ppt with the alluvial interval reading 6.60 degC at dawn and the wellhead siphon 3.77 m3/d while the electrode pair returns 3892 uS/cm.
+Node SN-024-02A9 sits in a fractured lens at 479.7 m below datum and drifts to a salinity of 7.88 ppt with the silty interval reading 12.53 degC at dawn and the wellhead discharge 13.18 m3/d while the electrode pair returns 3592 uS/cm.
+Node SN-025-0C8F sits in a wedge lens at 434.3 m below datum and holds a salinity of 1.63 ppt with the alluvial interval reading 4.22 degC at dawn and the wellhead till 5.73 m3/d while the electrode pair returns 3905 uS/cm.
+Node SN-026-04BF sits in a colluvial lens at 460.0 m below datum and averages a salinity of 9.36 ppt with the diapir interval reading 8.98 degC at dawn and the wellhead brackish 10.29 m3/d while the electrode pair returns 802 uS/cm.
+Node SN-027-0DA4 sits in a silty lens at 265.7 m below datum and steps down to a salinity of 7.06 ppt with the percolate interval reading 4.69 degC at dawn and the wellhead freshened 8.42 m3/d while the electrode pair returns 2201 uS/cm.
+Node SN-028-01EB sits in a perched lens at 49.5 m below datum and recovers to a salinity of 1.83 ppt with the silty interval reading 9.32 degC at dawn and the wellhead drain 9.69 m3/d while the electrode pair returns 1126 uS/cm.
+Node SN-029-042C sits in a karst lens at 30.6 m below datum and averages a salinity of 0.86 ppt with the percolate interval reading 9.85 degC at dawn and the wellhead recharge 8.16 m3/d while the electrode pair returns 1452 uS/cm.
+
+## Relays
+Relay RL-00-02181 reburses the upconing trunk from the brackish margin and peaks at a round-trip time of 131.8 ms with a frame loss of 1.04 percent across the night window.
+Relay RL-01-00262 reburses the spooned trunk from the fluvial margin and holds a round-trip time of 372.2 ms with a frame loss of 3.65 percent across the night window.
+Relay RL-02-03691 reburses the recharge trunk from the percolate margin and steps down to a round-trip time of 398.5 ms with a frame loss of 0.29 percent across the night window.
+Relay RL-03-0E117 reburses the lacustrine trunk from the confining margin and averages a round-trip time of 373.9 ms with a frame loss of 3.44 percent across the night window.
+Relay RL-04-0B41B reburses the aeolian trunk from the colluvial margin and peaks at a round-trip time of 70.7 ms with a frame loss of 3.25 percent across the night window.
+Relay RL-05-0D12D reburses the recharge trunk from the diluted margin and steps down to a round-trip time of 264.7 ms with a frame loss of 0.03 percent across the night window.
+Relay RL-06-043B4 reburses the colluvial trunk from the upconing margin and reports a round-trip time of 49.5 ms with a frame loss of 3.42 percent across the night window.
+Relay RL-07-09AD6 reburses the fractured trunk from the freshened margin and averages a round-trip time of 225.3 ms with a frame loss of 1.06 percent across the night window.
+Relay RL-08-04394 reburses the brackish trunk from the fluvial margin and steps down to a round-trip time of 88.6 ms with a frame loss of 2.47 percent across the night window.
+Relay RL-09-017A0 reburses the wedge trunk from the lacustrine margin and drifts to a round-trip time of 363.0 ms with a frame loss of 3.30 percent across the night window.
+Relay RL-10-0217D reburses the mineralized trunk from the lacustrine margin and peaks at a round-trip time of 26.2 ms with a frame loss of 1.30 percent across the night window.
+Relay RL-11-08F97 reburses the perched trunk from the freshened margin and logs a round-trip time of 181.8 ms with a frame loss of 2.75 percent across the night window.
+Relay RL-12-02628 reburses the fractured trunk from the glacial margin and steps down to a round-trip time of 378.5 ms with a frame loss of 2.69 percent across the night window.
+Relay RL-13-06E06 reburses the silty trunk from the mineralized margin and flags a round-trip time of 153.4 ms with a frame loss of 2.15 percent across the night window.
+
+## Aggregation services
+Aggregator AG-00-3BB logs a queue depth of 5.2 messages and a histogram bucket of 6.82 seconds before the dedupe pass settles the stream for the next rotation.
+Aggregator AG-01-0FF reports a queue depth of 86.4 messages and a histogram bucket of 4.10 seconds before the dedupe pass settles the stream for the next rotation.
+Aggregator AG-02-37F drifts to a queue depth of 34.7 messages and a histogram bucket of 10.25 seconds before the dedupe pass settles the stream for the next rotation.
+Aggregator AG-03-3B3 averages a queue depth of 93.5 messages and a histogram bucket of 13.59 seconds before the dedupe pass settles the stream for the next rotation.
+Aggregator AG-04-33E flags a queue depth of 83.2 messages and a histogram bucket of 17.58 seconds before the dedupe pass settles the stream for the next rotation.
+Aggregator AG-05-2F2 settles near a queue depth of 84.8 messages and a histogram bucket of 0.84 seconds before the dedupe pass settles the stream for the next rotation.
+Aggregator AG-06-2AD averages a queue depth of 75.4 messages and a histogram bucket of 7.65 seconds before the dedupe pass settles the stream for the next rotation.
+Aggregator AG-07-06E drifts to a queue depth of 26.5 messages and a histogram bucket of 14.26 seconds before the dedupe pass settles the stream for the next rotation.
+Aggregator AG-08-0E3 averages a queue depth of 83.9 messages and a histogram bucket of 15.51 seconds before the dedupe pass settles the stream for the next rotation.
+Aggregator AG-09-138 averages a queue depth of 78.6 messages and a histogram bucket of 8.50 seconds before the dedupe pass settles the stream for the next rotation.
+
+## Calibration procedures
+Procedure CP-00-047 steps the probe through a two-point rinse, then applies a trim of 0.2084 at the 66 milli-bar mark and records a residual of 0.02052 before the next field seal is crimped.
+Procedure CP-01-0A4 steps the probe through a two-point rinse, then applies a trim of 0.7793 at the 96 milli-bar mark and records a residual of 0.01468 before the next field seal is crimped.
+Procedure CP-02-054 steps the probe through a two-point rinse, then applies a trim of 0.4634 at the 68 milli-bar mark and records a residual of 0.04234 before the next field seal is crimped.
+Procedure CP-03-02D steps the probe through a two-point rinse, then applies a trim of 0.8459 at the 12 milli-bar mark and records a residual of 0.04855 before the next field seal is crimped.
+Procedure CP-04-098 steps the probe through a two-point rinse, then applies a trim of 0.5267 at the 97 milli-bar mark and records a residual of 0.00287 before the next field seal is crimped.
+Procedure CP-05-09B steps the probe through a two-point rinse, then applies a trim of 0.3968 at the 72 milli-bar mark and records a residual of 0.01637 before the next field seal is crimped.
+Procedure CP-06-030 steps the probe through a two-point rinse, then applies a trim of 0.8860 at the 12 milli-bar mark and records a residual of 0.04508 before the next field seal is crimped.
+Procedure CP-07-0EC steps the probe through a two-point rinse, then applies a trim of 0.2367 at the 70 milli-bar mark and records a residual of 0.00108 before the next field seal is crimped.
+Procedure CP-08-0BC steps the probe through a two-point rinse, then applies a trim of 0.7278 at the 68 milli-bar mark and records a residual of 0.04707 before the next field seal is crimped.
+Procedure CP-09-0AA steps the probe through a two-point rinse, then applies a trim of 0.6069 at the 37 milli-bar mark and records a residual of 0.00443 before the next field seal is crimped.
+
+## Failure modes
+Mode FM-00-27 declares a fluvial excursion when two independent probes disagree beyond the band for three rotations; the fleet reports a mean time between failures of 36902 hours for this class of excursion.
+Mode FM-01-13 declares a drain excursion when two independent probes disagree beyond the band for three rotations; the fleet peaks at a mean time between failures of 29042 hours for this class of excursion.
+Mode FM-02-14 declares a till excursion when two independent probes disagree beyond the band for three rotations; the fleet peaks at a mean time between failures of 26976 hours for this class of excursion.
+Mode FM-03-0C declares a diapir excursion when two independent probes disagree beyond the band for three rotations; the fleet drifts to a mean time between failures of 22578 hours for this class of excursion.
+Mode FM-04-39 declares a perched excursion when two independent probes disagree beyond the band for three rotations; the fleet recovers to a mean time between failures of 27383 hours for this class of excursion.
+Mode FM-05-19 declares a siphon excursion when two independent probes disagree beyond the band for three rotations; the fleet logs a mean time between failures of 23152 hours for this class of excursion.
+
+## End of document
+Summarize the network's dominant risk in one paragraph, then list the three node identifiers whose readings most limit the model this month.
@@ -0,0 +1,43 @@
+#!/usr/bin/env bash
+# apply-protected-cast.sh — RUNS ON DANKSERVER. Rewrite the recipe's
+# PROTECTED-BEGIN/END section from Swift's OWN calibration grams: run
+# derive-protected-experts.py over the calib dir, splice its cast lines into
+# the marked section of the recipe in place, keep the pre-edit recipe in the
+# campaign trash. Refuses to run twice (marker text says derived).
+set -euo pipefail
+CALIB=${1:-/home/dank/corpora/calib}
+RECIPE=${2:-/home/dank/serverAppConfigs-swift15/scripts/recipes/qwen4exp-swift15-w4dn8-i8-hc8m.recipe}
+PY=/home/dank/venvs/radcorpus/bin/python
+DERIVE=/home/dank/serverAppConfigs-swift15/scripts/derive-protected-experts.py
+TS=$(date +%Y%m%d-%H%M%S)
+
+grep -q "derive-protected-experts.py rewrote" "$RECIPE" && {
+    echo "recipe already carries derived cast lines; refusing to re-derive" >&2; exit 1; }
+grep -q "PROTECTED-BEGIN" "$RECIPE" || { echo "no PROTECTED markers in $RECIPE" >&2; exit 1; }
+
+"$PY" "$DERIVE" "$CALIB" > "/tmp/protected-cast-$TS.txt"
+N=$(grep -c 'cast dtype=bf16' "/tmp/protected-cast-$TS.txt")
+[ "$N" -ge 2 ] || { echo "derive produced $N cast lines; refusing" >&2; exit 1; }
+echo "derived $N protected experts -> /tmp/protected-cast-$TS.txt"
+
+cp -f "$RECIPE" "/home/dank/.AGENTTRASH/$TS-qwen4exp-swift15-w4dn8-i8-hc8m.recipe"
+"$PY" - "$RECIPE" "/tmp/protected-cast-$TS.txt" <<'PYEOF'
+import sys
+recipe, castfile = sys.argv[1], sys.argv[2]
+lines = open(recipe).read().splitlines()
+cast = [l for l in open(castfile).read().splitlines() if 'cast dtype=bf16' in l]
+out, insec = [], False
+for l in lines:
+    if 'PROTECTED-BEGIN' in l:
+        insec = True
+        out.append(l)
+        out.extend(cast)
+    elif 'PROTECTED-END' in l:
+        insec = False
+        out.append(l)
+        out.append('# (derive-protected-experts.py rewrote this section from Swift\'s own grams)')
+    elif not insec:
+        out.append(l)
+open(recipe, 'w').write('\n'.join(out) + '\n')
+print(f'spliced {len(cast)} cast lines into {recipe}')
+PYEOF
@@ -0,0 +1,141 @@
+#!/usr/bin/env python3
+"""autoresearch-bench.py — deterministic greedy battery for frank-large.
+
+Runs ON Dankclaw (no LAN jitter) against the candidate container on :7770.
+Fixed embedded corpus, temperature 0, streaming so decode speed is measured
+between real token arrivals (not request totals). Median of REPS samples per
+metric is the reported value; medians are far more stable than means under
+GPU thermal drift.
+
+Metrics emitted (stdout, one per line):
+  METRIC decode_tokens_per_sec=<float>   primary, higher better
+  METRIC prefill_tokens_per_sec=<float>  secondary
+  METRIC ttft_ms=<float>                 secondary, lower better
+Exit non-zero if the endpoint is unhealthy or the served alias is wrong.
+"""
+import argparse
+import json
+import statistics
+import sys
+import time
+import urllib.request
+
+# Fixed corpus: deterministic, ~28k tokens after tokenization (same scale as
+# the 2026-10-01 bench window). Built by repeating a fixed paragraph block a
+# fixed number of times - NO random, NO clock, NO network.
+_BLOCK = (
+    "The rendering pipeline walks the scene graph once per frame, resolving "
+    "material bindings into descriptor sets before any draw call is recorded. "
+    "Because the allocator recycles command buffers only after their fence "
+    "signals, a submission that outlives its frame must pin the pool entry; "
+    "otherwise the next frame overwrites recorded commands in flight. The "
+    "validation layer flags exactly this class of lifetime bug, but only for "
+    "buffers it can see - GPU-side timestamps and queue-family ownership "
+    "transfers hide in the driver's own bookkeeping, which is why release "
+    "builds must lean on explicit barriers and why a frame-time regression "
+    "often shows up as corruption one frame later than its cause.\n"
+)
+LONG_CTX = _BLOCK * 220  # ~28k-token prefill, matching the deployed workload
+_LONG = LONG_CTX + "\nNow, in one focused paragraph (80-150 words), explain " \
+    "which lifetime bugs this pipeline can still suffer and what explicit " \
+    "mitigations the text implies."
+_SHORT = "Design a rate limiter for a homelab reverse proxy that must not " \
+    "lock out the LAN. Think it through, then give the algorithm."
+
+REPS = 3
+MAX_TOKENS = 256
+REQ_TIMEOUT = 900
+
+
+def stream_completion(url: str, model: str, prompt: str):
+    """Greedy streaming completion.
+
+    Returns (ttft_s, decode_tps, prefill_tps, prompt_tokens, n_tokens).
+    ttft is RELATIVE to request send: time.perf_counter()'s epoch is host
+    boot, and returning the raw stamp read as an 11-day first token.
+    """
+    body = json.dumps({
+        "model": model,
+        "messages": [{"role": "user", "content": prompt}],
+        "max_tokens": MAX_TOKENS,
+        "temperature": 0,
+        "stream": True,
+        "stream_options": {"include_usage": True},
+    }).encode()
+    req = urllib.request.Request(
+        url.rstrip("/") + "/v1/chat/completions", data=body,
+        headers={"Content-Type": "application/json"})
+    t0 = time.perf_counter()
+    first = None
+    stamps = []
+    usage = {}
+    with urllib.request.urlopen(req, timeout=REQ_TIMEOUT) as resp:
+        for raw in resp:
+            line = raw.decode(errors="replace").strip()
+            if not line.startswith("data:"):
+                continue
+            payload = line[5:].strip()
+            if payload == "[DONE]":
+                break
+            chunk = json.loads(payload)
+            if chunk.get("usage"):
+                usage = chunk["usage"]
+            for ch in chunk.get("choices", []):
+                d = ch.get("delta") or {}
+                # reasoning AND content deltas both arrive token by token;
+                # count either so greedy text length drives the rate.
+                # (llama.cpp names the thinking field reasoning_content.)
+                if d.get("content") or d.get("reasoning") or d.get("reasoning_content"):
+                    now = time.perf_counter()
+                    if first is None:
+                        first = now
+                    stamps.append(now)
+    if first is None or len(stamps) < 2:
+        # A zero-argmax degenerate answer would poison the median; raise.
+        raise RuntimeError(f"stream produced {len(stamps)} tokens")
+    ttft_s = first - t0
+    decode_s = stamps[-1] - stamps[0]
+    decode_tps = (len(stamps) - 1) / decode_s if decode_s > 0 else 0.0
+    prompt_tokens = usage.get("prompt_tokens") or 0
+    prefill_tps = prompt_tokens / ttft_s if prompt_tokens else 0.0
+    return ttft_s, decode_tps, prefill_tps, prompt_tokens, len(stamps)
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--url", default="http://127.0.0.1:7770")
+    ap.add_argument("--model", default="frank-dragoon")
+    args = ap.parse_args()
+
+    with urllib.request.urlopen(args.url.rstrip("/") + "/v1/models",
+                                timeout=10) as r:
+        ids = [m["id"] for m in json.load(r)["data"]]
+    if args.model not in ids:
+        print(f"FATAL: served ids {ids}, expected {args.model}",
+              file=sys.stderr)
+        sys.exit(2)
+
+    # Warmup (compile/graph warm + allocator settle), NOT measured.
+    stream_completion(args.url, args.model, _SHORT)
+
+    decodes, prefills, ttfts = [], [], []
+    for rep in range(REPS):
+        for name, prompt in (("long", _LONG), ("short", _SHORT)):
+            ttft, dt, pt, ptk, ntok = stream_completion(
+                args.url, args.model, prompt)
+            decodes.append(dt)
+            ttfts.append(ttft * 1000.0)
+            if name == "long":
+                prefills.append(pt)
+            print(f"  rep{rep} {name:5s} ttft={ttft*1000:8.1f}ms "
+                  f"prefill={pt:8.1f} t/s decode={dt:6.2f} t/s "
+                  f"({ntok} tok, prompt {ptk})", file=sys.stderr)
+
+    med = lambda xs: statistics.median(xs)
+    print(f"METRIC decode_tokens_per_sec={med(decodes):.2f}")
+    print(f"METRIC prefill_tokens_per_sec={med(prefills):.1f}")
+    print(f"METRIC ttft_ms={med(ttfts):.1f}")
+
+
+if __name__ == "__main__":
+    main()
@@ -0,0 +1,187 @@
+#!/usr/bin/env bash
+# autoresearch-frank-primary.sh — RUNS ON DANKSERVER, driven over ssh by the
+# dev-box autoresearch.sh. It is the canonical frank-primary benchmark entry
+# point for the autoresearch loop.
+#
+# Method (mandated by the Benchmarking Policy): the production service serves
+# real users and shares the two R9700s, so a bench beside it starves the GPUs
+# and corrupts results. This script therefore:
+#   1. stops the production frank-primary unit (root, relink symlink: stop,
+#      NOT mask — mask refuses to replace a symlinked unit file),
+#   2. boots a scratch radiance container named `arbench` on the SAME two
+#      cards with the candidate engine argv (the env file the loop edits),
+#   3. polls /health until the listener is live (it binds AFTER the full
+#      load, so a bare curl is an honest gate),
+#   4. runs ONE self-contained completion request locally (127.0.0.1, no LAN
+#      jitter): a fixed ~140k-char real-text prompt (~32k tokens) decoded for
+#      256 tokens, greedy. The engine's `timings` object reports the honest
+#      prefill and decode rates for that single request.
+#   5. prints METRIC lines and tears the scratch down,
+#   6. restores production (systemctl start), via a trap so a failed bench
+#      never leaves frank-primary down (the stale-probe-tail lesson).
+#
+# Determinism: the prompt is built from a fixed, sorted corpus of repo files
+# with a fixed random seed, so prompt_n is stable across runs. Sampling is
+# greedy (temperature 0), so the decode length is fixed; the only residual
+# nondeterminism is the wht6 lossy TP all-reduce, which is a constant across
+# runs and cancels in A/B comparisons.
+#
+# The scratch mirrors the production container contract exactly (serve-frank-
+# primary.sh): --network host, --init, seccomp=unconfined (io_uring for the
+# n-gram table), memlock unbounded (the ~132 GiB pinned ledger), /dev/kfd +
+# /dev/dri, the .rad ro, the state dir rw, the tune cache mount. The ONLY
+# differences: the container name (arbench, so prod's identity is untouched)
+# and a FRESH prefix-cache disk tier (arbench/, wiped per run) so the cold
+# prefill is cold — the prod tier at kvcache/frank-primary is left intact.
+set -uo pipefail
+
+ENV_FILE="${1:-/home/dank/serverAppConfigs/scripts/frank-primary.env}"
+SCRATCH=arbench
+PORT=7770
+HEALTH="http://127.0.0.1:$PORT/health"
+COMPLETE="http://127.0.0.1:$PORT/v1/completions"
+BODY=/tmp/arbench-body.json
+LOG=/home/dank/logs/arbench.log
+
+restore() {
+  podman rm -f "$SCRATCH" >/dev/null 2>&1 || true
+  sudo systemctl start frank-primary >/dev/null 2>&1 || true
+}
+trap restore EXIT
+
+# --- source the candidate config (same file the production unit reads) ------
+if [ ! -f "$ENV_FILE" ]; then
+  echo "no env file at $ENV_FILE" >&2; exit 1
+fi
+# shellcheck disable=SC1090
+set -a; . "$ENV_FILE"; set +a
+
+# --- stop production; the scratch needs both cards to itself ----------------
+sudo systemctl stop frank-primary >/dev/null 2>&1 || true
+podman rm -f "$SCRATCH" >/dev/null 2>&1 || true
+
+# --- fresh prefix-cache tier for a cold prefill (prod's tier untouched) ------
+FRESH_KV="$FRANK_PRIMARY_STATE_DIR/kvcache/$SCRATCH"
+rm -rf "$FRESH_KV"; mkdir -p "$FRESH_KV"
+mkdir -p "$FRANK_PRIMARY_STATE_DIR/tune"
+
+# --- boot the scratch: the production run line, scratch name + fresh KV ------
+podman run -d --name "$SCRATCH" \
+  --network host \
+  --init \
+  --security-opt seccomp=unconfined \
+  --ulimit memlock=-1:-1 \
+  --device /dev/kfd --device /dev/dri \
+  -v "$FRANK_PRIMARY_MODEL_DIR":/models:ro \
+  -v "$FRANK_PRIMARY_STATE_DIR":/data \
+  -v "$FRANK_PRIMARY_STATE_DIR/tune":/opt/radiance/share/radiance/tune \
+  -v "$FRANK_PRIMARY_TEMPLATE":/templates/template.jinja:ro \
+  "$FRANK_PRIMARY_IMAGE" \
+  --model "/models/$FRANK_PRIMARY_MODEL_FILE" \
+  --host :: --port "$PORT" \
+  --served-model-name "$FRANK_PRIMARY_SERVED_NAME" \
+  --override-chat-template /templates/template.jinja \
+  --tp "$FRANK_PRIMARY_TP" --tp-wire "$FRANK_PRIMARY_TP_WIRE" \
+  --max-num-seqs "$FRANK_PRIMARY_MAX_SEQS" \
+  --max-model-len "$FRANK_PRIMARY_MAX_MODEL_LEN" \
+  --placement "$FRANK_PRIMARY_PLACEMENT" \
+  --host-pool-mib "$FRANK_PRIMARY_HOST_POOL_MIB" \
+  --gpu-headroom-mib "$FRANK_PRIMARY_GPU_HEADROOM_MIB" \
+  --vram-weights-mib "$FRANK_PRIMARY_VRAM_WEIGHTS_MIB" \
+  --vram-kv-mib "$FRANK_PRIMARY_VRAM_KV_MIB" \
+  --kv-cache-dtype "$FRANK_PRIMARY_KV_DTYPE" \
+  --prefix-cache-host-mib "$FRANK_PRIMARY_PREFIX_HOST_MIB" \
+  --prefix-cache-dir "/data/kvcache/$SCRATCH" \
+  --prefix-cache-disk-mib "$FRANK_PRIMARY_PREFIX_DISK_MIB" \
+  --ngram-placement "$FRANK_PRIMARY_NGRAM_PLACEMENT" \
+  --num-speculative-tokens "$FRANK_PRIMARY_SPEC_TOKENS" \
+  --max-num-batched-tokens "$FRANK_PRIMARY_MAX_BATCHED_TOKENS" \
+  ${FRANK_PRIMARY_EXTRA_ARGS:+$FRANK_PRIMARY_EXTRA_ARGS} \
+  > "$LOG" 2>&1
+if [ $? -ne 0 ]; then echo "scratch boot failed; see $LOG" >&2; exit 1; fi
+
+# --- poll health (listener binds after the full load; cold boot ~110 s) ------
+ok=0
+for _ in $(seq 1 360); do
+  code=$(curl -s -o /dev/null -w "%{http_code}" --max-time 3 "$HEALTH" 2>/dev/null || echo 000)
+  if [ "$code" = "200" ]; then ok=1; break; fi
+  sleep 2
+done
+if [ "$ok" -ne 1 ]; then
+  echo "scratch never reached health 200; tail of $LOG:" >&2
+  tail -30 "$LOG" >&2; exit 1
+fi
+
+# --- build the workload: a fixed ~140k-char real-text prompt (repo corpus) ---
+python3 - "$BODY" <<'PY'
+import json, sys, random, glob
+random.seed(1234)
+root = "/home/dank/serverAppConfigs"
+files = sorted(
+    glob.glob(f"{root}/serverAppConfigs-docs/**/*.md", recursive=True)
+    + glob.glob(f"{root}/scripts/*.sh")
+    + glob.glob(f"{root}/scripts/*.py")
+    + glob.glob(f"{root}/AGENTS.md")
+)
+corpus = []
+total = 0
+for f in files:
+    try:
+        t = open(f, encoding="utf-8", errors="ignore").read()
+    except Exception:
+        continue
+    if not t.strip():
+        continue
+    corpus.append(t)
+    total += len(t)
+    if total > 240000:
+        break
+corpus = "\n".join(corpus)
+TGT = 140000
+parts, n = [], 0
+while n < TGT:
+    start = random.randint(0, max(0, len(corpus) - 500))
+    seg = corpus[start:start + random.randint(200, 500)]
+    parts.append(seg)
+    n += len(seg) + 1
+prompt = " ".join(parts)
+json.dump(
+    {"model": "frank-archon", "prompt": prompt,
+     "max_tokens": 256, "temperature": 0.0, "stream": False,
+     "stop": ["<|im_end|>"]},
+    open(sys.argv[1], "w"),
+)
+PY
+if [ ! -f "$BODY" ]; then echo "prompt build failed" >&2; exit 1; fi
+
+# --- the bench request (prefill ~32k + decode 256, greedy) -------------------
+RESP=$(curl -s --max-time 600 -X POST "$COMPLETE" \
+  -H 'Content-Type: application/json' -d "@$BODY")
+echo "$RESP" > /tmp/arbench-resp.json
+
+# --- parse the timings into METRIC lines -------------------------------------
+python3 - <<'PY'
+import json, sys
+try:
+    r = json.load(open("/tmp/arbench-resp.json"))
+except Exception as e:
+    sys.stderr.write(f"unparseable response: {e}\n"); sys.exit(1)
+if "timings" not in r:
+    sys.stderr.write(f"no timings in response: {json.dumps(r)[:500]}\n"); sys.exit(1)
+t = r["timings"]
+dtps = t.get("predicted_per_second")
+ptps = t.get("prompt_per_second")
+pms  = t.get("prompt_ms")
+dn   = t.get("draft_n", 0)
+da   = t.get("draft_n_accepted", 0)
+if dtps is None:
+    sys.stderr.write("predicted_per_second null (no decode produced)\n"); sys.exit(1)
+print(f"METRIC decode_tps={dtps:.4f}")
+if ptps is not None:
+    print(f"METRIC prefill_tps={ptps:.4f}")
+if pms is not None:
+    print(f"METRIC ttft_ms={pms:.4f}")
+if dn:
+    print(f"METRIC draft_accept={da/dn:.4f}")
+print(f"INFO prompt_n={t.get('prompt_n')} cache_n={t.get('cache_n')} predicted_n={t.get('predicted_n')}")
+PY
@@ -0,0 +1,176 @@
+#!/usr/bin/env bash
+# frank-primary-arms.sh — run a SEQUENCE of frank-primary bench arms and keep
+# every arm's evidence. Runs on the operator box; each arm is one full window
+# of ./autoresearch.sh (stop+mask -> boot the arm as the service -> measure ->
+# restore production and verify), so the fleet is only ever down for one arm at
+# a time and the production unit is back up between arms.
+#
+# An arm is the repo's own frank-primary.env plus an OVERLAY of engine knobs
+# appended after it (later assignment wins when the serve script sources it),
+# staged through FRANK_PRIMARY_AR_ENV_FILE so the checkout is never mutated and
+# each arm gets its own fingerprint (the memo can never answer one arm with
+# another arm's numbers).
+#
+# Usage:  scripts/autoresearch/frank-primary-arms.sh [arm ...]
+#         scripts/autoresearch/frank-primary-arms.sh --list
+# Output, under /tmp/frank-primary-arms-<UTC stamp>/ (override with ARMS_DIR):
+#
+#   <arm>.out        full autoresearch output (metrics + engine evidence)
+#   <arm>.env        the exact staged env
+#   <arm>.rc         window exit code
+#   summary.tsv      arm, rc, decode_tps, decode_tps_t0.7, kv_tokens, boot_s
+#
+# Exit 0 when every arm produced metrics; 1 if any arm failed (a failed boot is
+# a RESULT — the window still restored production, and the rc says which arm).
+set -uo pipefail
+
+SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
+REPO="$(cd -- "$SCRIPT_DIR/../.." && pwd)"
+BASE_ENV="$REPO/scripts/frank-primary.env"
+ARMS_DIR="${ARMS_DIR:-/tmp/frank-primary-arms-$(date -u +%Y%m%dT%H%M%SZ)}"
+
+# --- arms ------------------------------------------------------------------
+# baseline: the shipped shape E, measured with THIS harness so the comparison is
+# matched (the ~29.6 t/s figure in the docs is an older shape, and no shape-E
+# decode number exists yet).
+OVER_baseline=()
+# B: MTP3 with the vendor's probabilistic draft sampling, a capture ladder whose
+# step is num_speculative_tokens + 1 = 4, and the sampling override. Precise
+# memory stays ON — this arm is simultaneously the MTP test and the test of
+# whether MTP's drafter workspace and the fitted 5.25 GiB overhead can coexist.
+SPEC3='{"method":"mtp","num_speculative_tokens":3,"draft_sample_method":"probabilistic"}'
+LADDER3='{"cudagraph_capture_sizes":[4,8,12],"max_cudagraph_capture_size":12,"inductor_compile_config":{"combo_kernels":false,"benchmark_combo_kernel":false}}'
+# The value must arrive in the staged env file SINGLE-QUOTED: sourcing an env
+# file performs quote removal, so an unquoted {"temperature":0.7} would reach
+# the engine as {temperature:0.7}.
+GEN07='{"temperature":0.7}'
+OVER_B=(
+    "FRANK_PRIMARY_SPEC='$SPEC3'"
+    "FRANK_PRIMARY_COMPCONFIG='$LADDER3'"
+    'FRANK_PRIMARY_GEN_CONFIG='"'$GEN07'"
+)
+# B2: identical to B with the default (7.60 GiB) overhead, i.e. precise memory
+# OFF. It is the fallback if B dies at graph capture, and it prices the arena
+# that precise memory buys (7,522 slots -> ~6,496).
+OVER_B2=(
+    "FRANK_PRIMARY_SPEC='$SPEC3'"
+    "FRANK_PRIMARY_COMPCONFIG='$LADDER3'"
+    'FRANK_PRIMARY_GEN_CONFIG='"'$GEN07'"
+    'FRANK_PRIMARY_PRECISE_MEMORY='
+)
+# C: the vendor's concurrency shape — SEQS 16 with the [4..32] ladder and util
+# 0.95. This is also the direct test of the theory that pinning the capture
+# ladder unlocks SEQS > 3 (the SEQS=2 failure was query_start_loc specialised to
+# the constant 3, which is NOT in the default ladder; 4 is).
+LADDER16='{"cudagraph_capture_sizes":[4,8,12,16,20,24,28,32],"max_cudagraph_capture_size":32,"inductor_compile_config":{"combo_kernels":false,"benchmark_combo_kernel":false}}'
+OVER_C=(
+    "FRANK_PRIMARY_SPEC='$SPEC3'"
+    "FRANK_PRIMARY_COMPCONFIG='$LADDER16'"
+    'FRANK_PRIMARY_GEN_CONFIG='"'$GEN07'"
+    'FRANK_PRIMARY_SEQS=16'
+    'FRANK_PRIMARY_MNBT=4096'
+    'FRANK_PRIMARY_UTIL=0.95'
+)
+
+# D/E: the CONTEXT arms. Measured 2026-10-02 (arms run 20261002T233855Z): the
+# KV pool is a hard byte request divided by a PER-TOKEN PRICE, and MTP raises
+# that price because the drafter keeps its own KV per position:
+#   no spec: 3.15e9 / 398,658 tokens =  7,901 B/token  (1.99x of 200,704)
+#   MTP3:    3.15e9 / 313,002 tokens = 10,064 B/token  (1.56x)
+# So arm C lost a fifth of the context to the drafter, not to util. Frank's
+# contract is >=401,400 tokens over >=2 seqs = 2.00x of 200,704, which at
+# 10,064 B/token costs 4.04e9 -> ask 4.05e9 (+0.83 GiB/rank).
+# D is arm B with EXACTLY ONE variable changed (the KV bytes), so its result
+# says whether the 4k-depth collapse (B 23.09 vs baseline 33.99) was KV or the
+# batch shape.
+KV401K='FRANK_PRIMARY_KV_BYTES=4050000000'
+OVER_D=(
+    "FRANK_PRIMARY_SPEC='$SPEC3'"
+    "FRANK_PRIMARY_COMPCONFIG='$LADDER3'"
+    'FRANK_PRIMARY_GEN_CONFIG='"'$GEN07'"
+    "$KV401K"
+)
+# E: D with C's max_num_batched_tokens (4096 — C is the only arm that did NOT
+# collapse at 4k depth: 33.15 where B gave 23.09) and util 0.99, the value
+# Frank asked about. 0.99 is affordable on paper — production at util 0.98
+# measures 30.37/34.21 GiB per card, 3.58 GiB physically unused — but it leaves
+# only 0.32 GiB above the allowance while the CUDA-graph cost is an ANALYTIC
+# estimate (C's was 1.47 GiB over 24 graphs), so it is measured, not assumed.
+OVER_E=(
+    "FRANK_PRIMARY_SPEC='$SPEC3'"
+    "FRANK_PRIMARY_COMPCONFIG='$LADDER3'"
+    'FRANK_PRIMARY_GEN_CONFIG='"'$GEN07'"
+    "$KV401K"
+    'FRANK_PRIMARY_MNBT=4096'
+    'FRANK_PRIMARY_UTIL=0.99'
+)
+
+arm_overlay() {
+    case "$1" in
+        baseline) ;;                       # the shipped env, no overlay
+        B)  printf '%s\n' "${OVER_B[@]}" ;;
+        B2) printf '%s\n' "${OVER_B2[@]}" ;;
+        C)  printf '%s\n' "${OVER_C[@]}" ;;
+        D)  printf '%s\n' "${OVER_D[@]}" ;;
+        E)  printf '%s\n' "${OVER_E[@]}" ;;
+        *) return 1 ;;
+    esac
+}
+if [ "${1:-}" = "--list" ]; then
+    printf 'baseline B B2 C D E\n'
+    exit 0
+fi
+
+[ -f "$BASE_ENV" ] || { echo "[arms] missing $BASE_ENV" >&2; exit 1; }
+if [ "$#" -gt 0 ]; then ARMS=("$@"); else ARMS=(baseline B B2 C); fi
+mkdir -p "$ARMS_DIR"
+echo "[arms] dir $ARMS_DIR  arms: ${ARMS[*]}" >&2
+
+: >"$ARMS_DIR/summary.tsv"
+printf 'arm\trc\tdecode_tps\tdecode_tps_t0.7\tkv_tokens\tboot_s\n' >>"$ARMS_DIR/summary.tsv"
+overall=0
+
+for arm in "${ARMS[@]}"; do
+    if ! arm_overlay "$arm" >"$ARMS_DIR/$arm.overlay"; then
+        echo "[arms] unknown arm: $arm" >&2
+        overall=1
+        continue
+    fi
+    { cat "$BASE_ENV"; echo; echo "# --- arm $arm overlay ($(date -u +%FT%TZ)) ---"
+      arm_overlay "$arm"; } >"$ARMS_DIR/$arm.env"
+    # Gate the staged env BEFORE burning a ~20-minute window: every knob that
+    # holds JSON must still be one valid JSON object after the file is SOURCED
+    # (that is the step that silently eats unquoted braces).
+    if ! bash -c 'set -a; . "$1" >/dev/null; set +a
+        for k in FRANK_PRIMARY_SPEC FRANK_PRIMARY_COMPCONFIG FRANK_PRIMARY_GEN_CONFIG; do
+            v="${!k:-}"
+            [ -n "$v" ] || continue
+            case "$v" in
+                "{"*) python3 -c "import json,sys; json.loads(sys.argv[1])" "$v" \
+                        || { echo "[arms] $k is not valid JSON: $v" >&2; exit 1; } ;;
+                *) echo "[arms] $k is not a JSON object: $v" >&2; exit 1 ;;
+            esac
+        done' _ "$ARMS_DIR/$arm.env"; then
+        echo "[arms] $arm: staged env rejected, window not opened" >&2
+        echo 99 >"$ARMS_DIR/$arm.rc"
+        overall=1
+        continue
+    fi
+
+    echo "[arms] === $arm: opening window $(date -u +%H:%M:%S)Z ===" >&2
+    FRANK_PRIMARY_AR_ENV_FILE="$ARMS_DIR/$arm.env" \
+        "$REPO/autoresearch.sh" >"$ARMS_DIR/$arm.out" 2>&1
+    rc=$?
+    echo "$rc" >"$ARMS_DIR/$arm.rc"
+    echo "[arms] === $arm: rc=$rc $(date -u +%H:%M:%S)Z ===" >&2
+    grep -E '^METRIC ' "$ARMS_DIR/$arm.out" | sed 's/^METRIC //' >"$ARMS_DIR/$arm.metrics" || true
+    metric() { local v; v="$(sed -n "s/^$1=//p" "$ARMS_DIR/$arm.metrics" | tail -1)"; printf '%s' "${v:-$2}"; }
+    printf '%s\t%s\t%s\t%s\t%s\t%s\n' "$arm" "$rc" \
+        "$(metric decode_tps FAIL)" "$(metric decode_tps_t0.7 FAIL)" \
+        "$(metric kv_tokens ?)" "$(metric boot_seconds ?)" >>"$ARMS_DIR/summary.tsv"
+    [ "$rc" -ne 0 ] && overall=1
+done
+
+echo "[arms] summary:" >&2
+cat "$ARMS_DIR/summary.tsv" >&2
+exit "$overall"
@@ -0,0 +1,216 @@
+#!/usr/bin/env python3
+"""frank-primary decode measurement — runs INSIDE the engine container.
+
+The method is the fleet's established one (the 2026-09-29 / 2026-10-01
+tuning campaigns, /home/dank/mtp_measure.py): SSE chunk counting is invalid
+under speculative decoding because rejected drafts change the accounting, so
+decode is measured from the server's own usage counters:
+
+    decode_tok_s = completion_tokens / (wall - ttft)
+
+with ttft = wall time to the FIRST content-bearing chunk (thinking arrives in
+`reasoning`/`delta.reasoning` on this stack and is excluded from the decode
+window — and is deterministic per prompt at temperature 0, so the exclusion
+cancels in any A/B on the same workload).
+
+Workload (fixed, deterministic, offline):
+  * prompts built from a large fixed-seed shuffled word list so tokens rarely
+    repeat (no n-gram/prefix predictability of the text itself), sized with
+    the server's own /v1/messages/count_tokens counter
+  * depths 115 / 1056 / 4096 target prompt tokens
+  * one 64-token warm pass per depth (warms the expert arena), then
+    max_tokens=256, 3 runs, median — repeated for every temperature in AR_TEMPS
+    (default 0 and 0.7). The prompt workload is deterministic (fixed seed, no
+    network, no time-of-day dependence); at temperature > 0 the generated text
+    is not, but the measured window is bounded by max_tokens, so the rate stays
+    comparable and the non-determinism is exactly the sampling that a
+    speculative-decode arm must survive.
+
+Env:
+  AR_BASE             endpoint (default http://127.0.0.1:7770)
+  AR_MODEL            served name (default frank-primary)
+  AR_PROMPT_CEILING   hard prompt ceiling in tokens (default 100000)
+  AR_TEMPS            comma-separated sampling temperatures (default "0,0.7")
+
+Output: progress on stderr, ONE json object on stdout (the last line).
+Exit codes: 0 ok, 2 endpoint unhealthy / no usable completion, 3 bad usage.
+"""
+import json
+import os
+import random
+import statistics
+import sys
+import time
+import urllib.error
+import urllib.request
+
+BASE = os.environ.get("AR_BASE", "http://127.0.0.1:7770")
+MODEL = os.environ.get("AR_MODEL", "frank-archon")
+PROMPT_CEILING = int(os.environ.get("AR_PROMPT_CEILING", "100000"))
+DEPTHS = (115, 1056, 4096)
+WARM_TOKENS = 64
+MAX_TOKENS = 256
+RUNS = 3
+# Temperature sweep. The unsuffixed keys are temperature 0 — byte-comparable to
+# every historical measurement — and AR_TEMPS adds more. The second one matters
+# for speculative decode: draft ACCEPTANCE is sampling-dependent (a greedy draft
+# matches a greedy target exactly and is rejected more under a non-greedy
+# target), so an MTP arm judged only at temp 0 would be judged on half the
+# contract. Production traffic is non-zero temperature (the payload's
+# generation_config says 1.0; an override to 0.7 is under test).
+TEMPS = tuple(float(x) for x in os.environ.get("AR_TEMPS", "0,0.7").split(","))
+
+# 43-word x 12 = 516-word vocabulary, seed 1234 — the campaign's exact list
+# and seed, so prompts are byte-identical to the historical measurements.
+_VOCAB = ("alpha bravo charlie delta echo foxtrot golf hotel india juliet kilo lima "
+          "mike november oscar papa quebec romeo sierra tango uniform victor whiskey "
+          "xray yankee zulu cardinal ordinal topology kernel scheduler resident "
+          "unified aperture expert arena slab offload prefetch gemm triton quant "
+          "tensor shard checkpoint manifest embed router cache page table window "
+          "gradient sparse dense moe attention head dim block stream decode prefill "
+          "bandwidth latency throughput residency eviction tier swap pin memlock").split()
+_R = random.Random(1234)
+_ORDER = list(range(len(_VOCAB)))
+_R.shuffle(_ORDER)
+
+
+def log(msg):
+    print("[measure] %s" % msg, file=sys.stderr, flush=True)
+
+
+def post_json(path, body, timeout):
+    req = urllib.request.Request(
+        BASE + path, data=json.dumps(body).encode(),
+        headers={"Content-Type": "application/json"})
+    with urllib.request.urlopen(req, timeout=timeout) as r:
+        return json.load(r)
+
+
+def count_tokens(text):
+    """Token count without a prefill, from the server's own counter."""
+    body = {"model": MODEL,
+            "messages": [{"role": "user", "content": text}]}
+    r = post_json("/v1/messages/count_tokens", body, timeout=300)
+    n = r.get("input_tokens") or r.get("count") or r.get("token_count")
+    if not n:
+        raise RuntimeError("count_tokens returned no count: %r" % (r,))
+    return int(n)
+
+
+def words(n):
+    return " ".join(_VOCAB[_ORDER[i % len(_VOCAB)]] for i in range(n))
+
+
+def calibrate():
+    """Measure words->tokens from the server's own counter."""
+    return 2000.0 / count_tokens(words(2000))
+
+
+def prompt_for(target_tokens, wpt):
+    n = max(1, int(target_tokens * wpt))
+    text = words(n)
+    pt = count_tokens(text)
+    while pt > PROMPT_CEILING:
+        n = max(1, int(n * (PROMPT_CEILING / pt) * 0.98))
+        text = words(n)
+        pt = count_tokens(text)
+    return text, pt
+
+
+def measured(prompt, max_tokens, temperature=0):
+    """Return (ttft_s, decode_tok_s, completion_tokens) via usage counters."""
+    body = {"model": MODEL,
+            "messages": [{"role": "user", "content": prompt}],
+            "max_tokens": max_tokens, "temperature": temperature,
+            "stream": True, "stream_options": {"include_usage": True}}
+    req = urllib.request.Request(
+        BASE + "/v1/chat/completions", data=json.dumps(body).encode(),
+        headers={"Content-Type": "application/json"})
+    t0 = time.time()
+    ttft = None
+    usage = {}
+    with urllib.request.urlopen(req, timeout=1800) as r:
+        for raw in r:
+            line = raw.decode("utf-8", "replace").strip()
+            if not line.startswith("data:"):
+                continue
+            s = line[5:].strip()
+            if s == "[DONE]":
+                break
+            try:
+                ev = json.loads(s)
+            except json.JSONDecodeError:
+                continue
+            if ev.get("usage"):
+                usage = ev["usage"]
+            for ch in ev.get("choices", []):
+                if (ch.get("delta") or {}).get("content"):
+                    if ttft is None:
+                        ttft = time.time() - t0
+    wall = time.time() - t0
+    ct = int(usage.get("completion_tokens") or 0)
+    if ct <= 0:
+        # No usage on the stream: the endpoint is unhealthy or the model
+        # returned nothing (e.g. HTTP 200 with an error payload).
+        raise RuntimeError("no completion_tokens in usage: %r" % (usage,))
+    dec_window = max(wall - (ttft or 0.0), 1e-9)
+    return (ttft or wall), (ct / dec_window), ct
+
+
+def fmt_temp(t):
+    return ("%.1f" % t).rstrip("0").rstrip(".") if t else "0"
+
+
+def main():
+    log("base=%s model=%s ceiling=%d temps=%s"
+        % (BASE, MODEL, PROMPT_CEILING, ",".join(fmt_temp(t) for t in TEMPS)))
+    try:
+        wpt = calibrate()
+    except Exception as e:
+        log("endpoint unhealthy during calibration: %s" % e)
+        return 2
+    log("words/token: %.3f" % wpt)
+
+    result = {"words_per_token": round(wpt, 5)}
+    for tgt in DEPTHS:
+        try:
+            p, pt = prompt_for(tgt, wpt)
+            measured(p, WARM_TOKENS)  # warm the arena and the prefix cache
+        except Exception as e:
+            log("warm pass failed at depth %d: %s" % (tgt, e))
+            return 2
+        for temp in TEMPS:
+            suffix = "" if temp == 0 else "_t%s" % fmt_temp(temp)
+            rates, tts, cts = [], [], []
+            for i in range(RUNS):
+                try:
+                    tt, r, ct = measured(p, MAX_TOKENS, temp)
+                except Exception as e:
+                    log("run %d/%d failed at depth %d temp %s: %s"
+                        % (i + 1, RUNS, tgt, fmt_temp(temp), e))
+                    continue
+                rates.append(r)
+                tts.append(tt)
+                cts.append(ct)
+            if len(rates) < 2:
+                log("only %d usable run(s) at depth %d temp %s — refusing to median"
+                    % (len(rates), tgt, fmt_temp(temp)))
+                return 2
+            result["decode_tps_%d%s" % (tgt, suffix)] = round(statistics.median(rates), 2)
+            result["ttft_ms_%d%s" % (tgt, suffix)] = round(1000.0 * statistics.median(tts), 1)
+            result["completion_tokens_%d%s" % (tgt, suffix)] = int(statistics.median(cts))
+            result["prompt_tokens_%d%s" % (tgt, suffix)] = pt
+            log("depth %5d tok temp %-4s decode %7.2f t/s  ttft %.3f s  (runs=%d)"
+                % (pt, fmt_temp(temp), result["decode_tps_%d%s" % (tgt, suffix)],
+                   result["ttft_ms_%d%s" % (tgt, suffix)] / 1000.0, len(rates)))
+
+    for temp in TEMPS:
+        suffix = "" if temp == 0 else "_t%s" % fmt_temp(temp)
+        meds = [result["decode_tps_%d%s" % (t, suffix)] for t in DEPTHS]
+        result["decode_tps%s" % suffix] = round(statistics.median(meds), 2)
+    print(json.dumps(result))
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())
@@ -0,0 +1,218 @@
+#!/usr/bin/env bash
+# frank-primary-window.sh — one full bench window for frank-primary, run ON
+# DANKSERVER as the deploy user (invoked over ssh by ./autoresearch.sh).
+#
+# Discipline (AGENTS.md Benchmarking Policy): the production unit is
+# STOPPED + MASKED first, the candidate config boots AS THE SERVICE itself
+# (same serve script, same container name, same port 7770 — no scratch
+# ports, no co-tenant GPU), the in-container measure runs, and the window
+# ALWAYS ends by restoring the production unit and verifying its health.
+# The EXIT trap makes the restore unconditional: a boot failure, a measure
+# failure, or a dead ssh session all end with production back up.
+#
+# Staging layout (created by the orchestrator, ephemeral — never a config
+# source; the repo checkout is):
+#   /home/dank/.autoresearch-frank-primary/
+#     serve.sh             staged candidate serve script
+#     frank-primary.env    staged candidate env (the candidate knobs)
+#     measure.py           the in-container measure client
+#     hash                 candidate fingerprint
+#     run.json             result (metrics + boot + kv + fingerprint)
+#     serve.out/measure.out/fail.log
+#     last/                memo: run.json + hash of the last FULLY
+#                          successful window (bench AND verified restore)
+#
+# This script logs to stderr and exits 0 only when the measure produced a
+# usable result (the restore happens in the trap regardless of the bench
+# outcome; a failed restore forces exit 1).
+set -uo pipefail
+
+STAGE="${FRANK_PRIMARY_AR_STAGE:-/home/dank/.autoresearch-frank-primary}"
+UNIT="${FRANK_PRIMARY_AR_UNIT:-frank-primary}"
+CTR="${FRANK_PRIMARY_AR_CTR:-frank-primary-qwen}"
+HEALTH_URL="http://127.0.0.1:7770/health"
+MODELS_URL="http://127.0.0.1:7770/v1/models"
+BOOT_TIMEOUT="${FRANK_PRIMARY_AR_BOOT_TIMEOUT:-1200}"
+RESTORE_TIMEOUT="${FRANK_PRIMARY_AR_RESTORE_TIMEOUT:-1200}"
+MEASURE_TIMEOUT="${FRANK_PRIMARY_AR_MEASURE_TIMEOUT:-1800}"
+SERVED="$(sed -n 's/^FRANK_PRIMARY_SERVED_NAME=//p' "$STAGE/frank-primary.env" 2>/dev/null | head -1)"
+SERVED="${SERVED:-frank-primary}"
+
+RESTORED=0
+
+log() { printf '[window %s] %s\n' "$(date '+%H:%M:%S')" "$*" >&2; }
+
+container_state() { podman inspect -f '{{.State.Status}}' "$CTR" 2>/dev/null || echo absent; }
+
+wait_port_free() {
+    local i
+    for i in $(seq 1 90); do
+        [ "$(container_state)" != "running" ] && return 0
+        sleep 2
+    done
+    return 1
+}
+
+wait_health() { # $1 = timeout seconds
+    local t0 code
+    t0=$(date +%s)
+    while :; do
+        code="$(curl -s -o /dev/null -w '%{http_code}' --max-time 10 "$HEALTH_URL" 2>/dev/null || echo 000)"
+        [ "$code" = "200" ] && return 0
+        [ "$(( $(date +%s) - t0 ))" -ge "$1" ] && return 1
+        sleep 2
+    done
+}
+
+capture_bench_failure() {
+    log "capturing bench-boot failure evidence"
+    {
+        echo "=== podman logs (tail 400) ==="
+        podman logs --tail 400 "$CTR" 2>&1 || true
+        echo "=== staged serve.out (tail 60) ==="
+        tail -60 "$STAGE/serve.out" 2>/dev/null || true
+        echo "=== engine log (tail 60) ==="
+        tail -60 /home/dank/logs/frank_primary.log 2>/dev/null || true
+    } >"$STAGE/fail.log" 2>&1 || true
+    grep -E 'OutOfMemory|Tried to allocate|Engine core initialization failed|Error|error' \
+        "$STAGE/fail.log" 2>/dev/null | tail -25 >&2 || true
+}
+
+restore() {
+    [ "$RESTORED" = 1 ] && return 0
+    RESTORED=1
+    log "restoring production unit $UNIT"
+    if [ -f "$STAGE/serve.pid" ]; then
+        kill "$(cat "$STAGE/serve.pid" 2>/dev/null)" 2>/dev/null || true
+    fi
+    podman stop -t 120 "$CTR" >/dev/null 2>&1 || true
+    wait_port_free || log "WARNING: bench container still draining after 180s"
+    sudo systemctl unmask "$UNIT" 2>/dev/null || true
+    if ! sudo systemctl start "$UNIT"; then
+        log "ERROR: systemctl start $UNIT failed — operator intervention required"
+        return 1
+    fi
+    if wait_health "$RESTORE_TIMEOUT"; then
+        if curl -s --max-time 10 "$MODELS_URL" 2>/dev/null | grep -q "$SERVED"; then
+            log "production restored and verified ($SERVED answering on :7770)"
+            # Memo promotion lives HERE: a cached result is only ever the
+            # product of a fully successful window (bench AND verified
+            # restore), never of a bare bench success.
+            cp "$STAGE/run.json" "$STAGE/last/" 2>/dev/null || true
+            cp "$STAGE/hash" "$STAGE/last/" 2>/dev/null || true
+        else
+            log "ERROR: health 200 but /v1/models does not list $SERVED"
+            return 1
+        fi
+    else
+        log "ERROR: production not healthy within ${RESTORE_TIMEOUT}s — unit left to systemd (Restart=always)"
+        return 1
+    fi
+    return 0
+}
+trap 'restore; rc=$?; [ "$rc" -ne 0 ] && exit 1' EXIT
+
+main() {
+    local f
+    for f in serve.sh frank-primary.env measure.py hash; do
+        [ -f "$STAGE/$f" ] || { log "staged file missing: $STAGE/$f"; exit 1; }
+    done
+    mkdir -p "$STAGE/last"
+    rm -f "$STAGE/run.json" "$STAGE/fail.log" "$STAGE/measure.out" "$STAGE/evidence.log"
+
+    local t_start t0 i kvline kv_tokens kv_conc measure_json boot_seconds
+    t_start="$(date +%s)"
+
+    log "stopping and masking production unit $UNIT"
+    sudo systemctl stop "$UNIT" 2>/dev/null || true
+    # Explicit stop is not auto-restarted even with Restart=always; the mask
+    # is belt-and-braces against a stray start during the window.
+    sudo systemctl mask "$UNIT" 2>/dev/null || \
+        log "WARNING: mask failed — relying on explicit-stop semantics"
+    wait_port_free || log "note: production container still draining"
+
+    t0="$(date +%s)"
+    log "starting bench instance from staged config (fingerprint $(tr -d '[:space:]' <"$STAGE/hash"))"
+    FRANK_PRIMARY_ENV_FILE="$STAGE/frank-primary.env" \
+        setsid nohup bash "$STAGE/serve.sh" >"$STAGE/serve.out" 2>&1 </dev/null &
+    echo "$!" >"$STAGE/serve.pid"
+
+    for i in $(seq 1 45); do
+        [ "$(container_state)" = "running" ] && break
+        sleep 2
+    done
+    if [ "$(container_state)" != "running" ]; then
+        log "bench container never reached running state"
+        tail -40 "$STAGE/serve.out" >&2 || true
+        exit 1
+    fi
+
+    if wait_health "$BOOT_TIMEOUT"; then
+        boot_seconds=$(( $(date +%s) - t0 ))
+        log "bench healthy after ${boot_seconds}s"
+    else
+        if [ "$(container_state)" = "running" ]; then
+            log "bench boot timed out after ${BOOT_TIMEOUT}s (still loading)"
+        else
+            log "bench container died during boot"
+            capture_bench_failure
+        fi
+        exit 1
+    fi
+
+    log "running measure in container (timeout ${MEASURE_TIMEOUT}s)"
+    if ! podman cp "$STAGE/measure.py" "$CTR":/tmp/ar-measure.py; then
+        log "podman cp of measure client failed"
+        exit 1
+    fi
+    if ! timeout "$MEASURE_TIMEOUT" podman exec "$CTR" python3 /tmp/ar-measure.py \
+            >"$STAGE/measure.out" 2>&1; then
+        log "measure failed or timed out"
+        tail -40 "$STAGE/measure.out" >&2 || true
+        exit 1
+    fi
+
+    # Capacity facts for the run (context-size experiments change these).
+    kvline="$(podman logs "$CTR" 2>&1 | grep -E 'GPU KV cache size' | tail -1 || true)"
+    kv_tokens="$(printf '%s' "$kvline" | sed -E 's/.*GPU KV cache size: ([0-9,]+) tokens.*/\1/' | tr -d ',' || true)"
+    kv_conc="$(printf '%s' "$kvline" | sed -E 's/.*per request: ([0-9.]+x).*/\1/' || true)"
+
+    # Human-facing evidence, in a sidecar file because it is multi-line prose,
+    # not metrics: the expert-plan lines (the ONLY place the arena / runtime
+    # overhead / KV-reserve numbers exist — they are never in /metrics), the
+    # compile path (cold build vs cache hit), the graph-capture sizes, the
+    # speculative-decode counters, and any OOM signature. Without this an arm
+    # that loses decode speed is unexplainable afterwards.
+    {
+        echo "=== engine plan / capacity / spec evidence ==="
+        podman logs "$CTR" 2>&1 | grep -E \
+'KV cache size|Maximum concurrency|layers split|expert cache|runtime overhead|non-default args|r4d all-reduce|Using \[|cudagraph|CUDA graph|Capturing|graph for compile range|torch.compile took|Directly load the compiled|speculative|Speculative|acceptance|Acceptance|offload|precise|OutOfMemory|Tried to allocate|Engine core initialization failed' \
+            | tail -150 || true
+        echo "=== /metrics counters (spec decode, caches, success) ==="
+        curl -s --max-time 15 http://127.0.0.1:7770/metrics 2>/dev/null \
+            | grep -E '^vllm:(spec_decode|gpu_cache|prefix_cache|request_success|generation_tokens|iteration)' \
+            | head -80 || true
+    } >"$STAGE/evidence.log" 2>&1 || true
+    log "engine evidence -> $STAGE/evidence.log ($(wc -l <"$STAGE/evidence.log") lines)"
+
+    measure_json="$(grep -E '^\{' "$STAGE/measure.out" | tail -1 || true)"
+    if [ -z "$measure_json" ]; then
+        log "measure produced no JSON result line"
+        tail -40 "$STAGE/measure.out" >&2 || true
+        exit 1
+    fi
+
+    # The measure line is already JSON, so the run object can be assembled
+    # without any host-side interpreter.
+    printf '{"hash":"%s","boot_seconds":%s,"kv_tokens":%s,"kv_concurrency":"%s","total_seconds":%s,"measure":%s}\n' \
+        "$(tr -d '[:space:]' <"$STAGE/hash")" \
+        "$boot_seconds" "${kv_tokens:-0}" "${kv_conc:-unknown}" \
+        "$(( $(date +%s) - t_start ))" "$measure_json" >"$STAGE/run.json"
+
+    log "bench window complete in $(( $(date +%s) - t_start ))s"
+    # Memo only after a FULL success; the restore below still has to verify.
+    exit 0
+}
+
+main "$@"
+exit "$?"
@@ -57,7 +57,7 @@ run_bench() {
    # Warmup (small request)
    curl -s -m 60 http://127.0.0.1:$PORT/v1/chat/completions \
        -H "Content-Type: application/json" \
-        -d '{"model":"frank-large","messages":[{"role":"user","content":"Hi"}],"max_tokens":16,"stream":false}' > /dev/null 2>&1 || true
+        -d '{"model":"frank-dragoon","messages":[{"role":"user","content":"Hi"}],"max_tokens":16,"stream":false}' > /dev/null 2>&1 || true
    
    # Build 8K prompt
    local prompt
@@ -0,0 +1,48 @@
+#!/usr/bin/env python3
+"""bench-probe.py — RUNS ON DANKSERVER. The campaign's decode probe: one
+/completion request, a prompt assembled from calib.jsonl to ~TARGET tokens,
+temperature 0, max_tokens 512. Reports the engine's own timings: decode rate,
+prefill rate, draft accept. Run 3x; the median is the arm's number."""
+import json, sys, urllib.request
+
+TARGET = 43600  # tokens
+BYTES_PER_TOK = 3.8
+URL = "http://localhost:7770/v1/completions"
+
+def build_prompt():
+    want = int(TARGET * BYTES_PER_TOK)
+    parts = []
+    n = 0
+    with open("/home/dank/corpora/out/calib.jsonl") as f:
+        for line in f:
+            d = json.loads(line)
+            p = d.get("prompt") or d.get("messages", [{}])[0].get("content", "")
+            parts.append(p)
+            n += len(p.encode())
+            if n >= want:
+                break
+    return "".join(parts)
+
+def probe(salt):
+    prompt = f"[probe {salt}]\n" + build_prompt()
+    body = json.dumps({
+        "model": "frank-archon",
+        "prompt": prompt, "temperature": 0.0, "max_tokens": 512,
+    }).encode()
+    req = urllib.request.Request(URL, data=body,
+        headers={"Content-Type": "application/json"})
+    with urllib.request.urlopen(req, timeout=1800) as r:
+        d = json.load(r)
+    t = d.get("timings", {})
+    return {
+        "prompt_n": t.get("prompt_n"),
+        "prefill_tps": round(t.get("prompt_per_second", 0), 1),
+        "pred_n": t.get("predicted_n"),
+        "decode_tps": round(t.get("predicted_per_second", 0), 2),
+        "draft_n": t.get("draft_n"),
+        "accept": (round(t["draft_n_accepted"] / t["draft_n"], 4)
+                   if t.get("draft_n") else None),
+    }
+
+if __name__ == "__main__":
+    print(json.dumps(probe(sys.argv[1] if len(sys.argv) > 1 else "a")))
@@ -39,7 +39,7 @@ def send_prefill_request():
    with open(PROMPT_FILE, "r") as f:
        prompt = f.read()
    body = json.dumps({
-        "model": "frank-large",
+        "model": "frank-dragoon",
        "messages": [{"role": "user", "content": prompt}],
        "max_tokens": 1,
        "stream": False
@@ -0,0 +1,166 @@
+#!/usr/bin/env bash
+# build-frank-primary-rad.sh — build frank-primary's .rad container from the
+# OFFICIAL Qwen/Qwen3.8-Flash-Next-FP8 checkpoint, at NATIVE precision.
+#
+#   bash scripts/build-frank-primary-rad.sh                # convert
+#   bash scripts/build-frank-primary-rad.sh --plan-only    # declare, no I/O
+#   bash scripts/build-frank-primary-rad.sh --restage      # redo staging
+#   bash scripts/build-frank-primary-rad.sh --force        # rebuild existing
+#
+# WHY A STAGING DIR (the one non-obvious step): rad-convert selects its
+# architecture plugin by the checkpoint's quantisation DESCRIPTOR —
+# derived from config.json's quantization_config (core/format/checkpoint.cpp:
+# "fp8" here). No shipped plugin claims (qwen4exp, "fp8"): the shipped
+# qwen4exp plugin claims (qwen4exp, ""), the descriptor recipe-built
+# containers carry (they are built from the bf16 upstream, which has no
+# quantization_config at all). The match is exact with no fallback, so an
+# unmodified convert refuses before declare. The descriptor is only a
+# selection key; per-weight encodings are data — the checkpoint reader
+# derives them from the tensors themselves (X.weight_scale_inv is the
+# scale plane; checkpoint.h). Staging drops the quantization_config key
+# (everything else is a relative symlink into the pristine download) so
+# the convert selects the shipped plugin. EVERY weight is then copied through
+# in its own encoding — block-FP8 codes + bf16 scale planes stay block-FP8 —
+# except TWO value-preserving reshapes that stack-qwen38-official-fp8.py
+# performs on the staging dir first, and ONE recipe rule that finishes the
+# PLE table:
+#   * experts: the plugin maps the STACKED layout (mlp.experts.gate_up_proj
+#     [E,2F,H] with the _scale_inv plane at the same index) while the official
+#     repo ships per-expert unfused tensors — staging byte-stacks them
+#     (gate rows first, no requantisation).
+#   * PLE: the plugin's fp8 branch wants the table codes beside a ONE-ELEMENT
+#     bf16 scale plane; the official repo ships 128 SCALELESS fp8 shards plus
+#     one bf16 scalar. Staging decodes to bf16 with the checkpoint's own
+#     scale, and the convert's rtn rule re-encodes at that same scale —
+#     every original code is restored exactly and the scale plane lands in
+#     the form the plugin declares.
+#
+# WHY A CONTAINER AT ALL: a checkpoint dir has no mapped/file tiers, and a
+# weight only a host kernel reads (the n-gram / PLE table, 51B params)
+# cannot be served from one (GUIDE §3.4). rad-convert also bakes the
+# tokenizer and the checkpoint's chat template; the runtime replaces the
+# template with froggeric's (--override-chat-template).
+#
+# The convert runs rad-convert inside the digest-pinned radiance image
+# (the host has no ROCm and needs none): /home/dank/models is mounted at
+# /models so the staging dir's RELATIVE symlinks resolve inside the
+# container. Output lands beside the raw download, owned by dank
+# (rootless podman maps container-root to the invoking user).
+set -euo pipefail
+
+SRC="/home/dank/models/Qwen/Qwen3.8-Flash-Next-FP8"
+STAGE="/home/dank/models/stage-qwen4exp-fp8"
+OUT_DIR="/home/dank/models/rad"
+OUT="$OUT_DIR/qwen4exp-fp8-native.rad"
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+# shellcheck disable=SC1091
+source "$SCRIPT_DIR/frank-primary.env"
+IMAGE="$FRANK_PRIMARY_IMAGE"
+
+plan_only=0 restage=0 force=0
+for a in "$@"; do
+    case "$a" in
+        --plan-only) plan_only=1 ;;
+        --restage)   restage=1 ;;
+        --force)     force=1 ;;
+        *) echo "unknown flag: $a" >&2; exit 2 ;;
+    esac
+done
+
+if [ ! -f "$SRC/config.json" ]; then
+    echo "ERROR: raw checkpoint missing: $SRC (run scripts/download-frank-primary.sh --fetch)" >&2
+    exit 1
+fi
+echo "verifying raw checkpoint first..."
+bash "$SCRIPT_DIR/download-frank-primary.sh"
+
+if [ -f "$OUT" ] && [ "$plan_only" -eq 0 ] && [ "$force" -eq 0 ]; then
+    echo "container already exists: $OUT"
+    echo "rebuild it with --force (the old file moves to ~/.AGENTTRASH)"
+    exit 0
+fi
+
+# ---- staging ----------------------------------------------------------------
+if [ "$restage" -eq 1 ] && [ -e "$STAGE" ]; then
+    TRASH="$HOME/.AGENTTRASH/$(date +%Y%m%d)-frank-primary-stage"
+    mkdir -p "$TRASH"
+    mv "$STAGE" "$TRASH/stage-$(date +%H%M%S)"
+    echo "old staging dir moved to $TRASH"
+fi
+if [ ! -f "$STAGE/config.json" ]; then
+    mkdir -p "$STAGE"
+    python3 - "$SRC/config.json" "$STAGE/config.json" <<'PY'
+import json, sys
+src, dst = sys.argv[1], sys.argv[2]
+cfg = json.load(open(src))
+dropped = cfg.pop("quantization_config", None)
+json.dump(cfg, open(dst, "w"), indent=2)
+print(f"staging config.json written (quantization_config dropped: {dropped is not None})")
+PY
+    # The index is COPIED like config.json, never symlinked: the reshape step
+    # rewrites the stage's index, and a symlink would write through to the
+    # raw checkpoint (measured 2026-10-05: the raw index was restamped with
+    # the stacked layout and the raw verify failed 143/144). Shards stay
+    # relative symlinks — relative so the targets resolve inside the convert
+    # container (the stage's parent is mounted at /models).
+    for f in "$SRC"/*; do
+        name="$(basename "$f")"
+        case "$name" in config.json|model.safetensors.index.json) continue ;; esac
+        ln -sfn "../Qwen/Qwen3.8-Flash-Next-FP8/$name" "$STAGE/$name"
+    done
+    cp "$SRC/model.safetensors.index.json" "$STAGE/"
+    echo "staging dir ready: $STAGE ($(ls "$STAGE" | wc -l) entries)"
+fi
+
+# ---- checkpoint reshape (stacked experts + bf16 PLE table) -------------------
+# stack-qwen38-official-fp8.py reshapes the staged checkpoint in place
+# (idempotent) and writes the PLE scale to $STAGE/ple_scale.txt — see the
+# script's docstring for why each transform is value-preserving.
+echo "stacking experts + merging the PLE table (value-preserving)..."
+python3 "$SCRIPT_DIR/stack-qwen38-official-fp8.py" --stage "$STAGE"
+PLE_SCALE="$(tr -d '\n' < "$STAGE/ple_scale.txt")"
+echo "PLE fixed scale: $PLE_SCALE"
+
+# ---- convert ----------------------------------------------------------------
+# rad-convert needs no GPU: declare resolves kernels and asks each about the
+# encoding it will read — CPU-side layout questions only. (If a plugin load
+# ever demands a card, add --device /dev/kfd --device /dev/dri to this run.)
+# --plan-only runs the same declare phase and exits before a byte is written.
+echo "rad-convert: $SRC (staged) -> $OUT"
+mkdir -p "$OUT_DIR"
+CONVERT_ARGS=(/models/stage-qwen4exp-fp8 -o /models/rad/qwen4exp-fp8-native.rad
+              --home /opt/radiance/share/radiance)
+[ "$plan_only" -eq 1 ] && CONVERT_ARGS+=(--plan-only -v)
+# THE ONE RECIPE RULE (see header): the PLE table arrives from staging as a
+# bf16 merge of the checkpoint's own fp8 codes decoded with the checkpoint's
+# own scale; rtn re-encodes it at that same scale — the codes come back
+# exactly and the plugin's one-element scale plane is produced.
+CONVERT_ARGS+=(--quant "blk.*.ple_ngram.weight=rtn:codes=fp8_e4m3,block=*x*,scale=bf16,rule=fixed,scale_value=$PLE_SCALE")
+[ "$force" -eq 1 ] && [ -f "$OUT" ] && {
+    TRASH="$HOME/.AGENTTRASH/$(date +%Y%m%d)-frank-primary-rad"
+    mkdir -p "$TRASH"
+    mv "$OUT" "$TRASH/qwen4exp-fp8-native.rad.$(date +%H%M%S)"
+    echo "previous container moved to $TRASH"
+}
+podman run --rm \
+    --entrypoint rad-convert \
+    -v /home/dank/models:/models \
+    "$IMAGE" "${CONVERT_ARGS[@]}"
+
+if [ "$plan_only" -eq 1 ]; then
+    echo "plan-only run complete (no container written)"
+    exit 0
+fi
+
+# ---- record -----------------------------------------------------------------
+echo "rad-info summary:"
+podman run --rm --entrypoint rad-info -v /home/dank/models:/models:ro \
+    "$IMAGE" "/models/rad/qwen4exp-fp8-native.rad" | head -20
+MIB=$(( $(stat -c %s "$OUT") / 1048576 ))
+echo "container: $OUT (${MIB} MiB; env floor $FRANK_PRIMARY_RAD_MIN_MIB MiB)"
+if [ "$MIB" -lt "$FRANK_PRIMARY_RAD_MIN_MIB" ]; then
+    echo "ERROR: container below the env floor — the convert was truncated" >&2
+    exit 1
+fi
+echo "build complete"
@@ -0,0 +1,96 @@
+#!/usr/bin/env bash
+# Build the gufo runtime that serves frank-large on Dankclaw.
+#
+#   bash scripts/build-gufo.sh              # build + install the pinned tag
+#   bash scripts/build-gufo.sh --verify     # only check the installed tree
+#
+# gufo (gufo-org/gufo) is the Strix Halo inference engine: it targets
+# gfx1151 specifically and has no prebuilt Linux release binaries, so the
+# runtime is built from the pinned git tag and installed to
+# /home/dank/GitPackages/gufo-<tag>/. Everything below is what Dankclaw
+# needs on top of AMD's Linux instructions.
+#
+# The host already carries the ROCm 7.2.4 stack (/opt/rocm -> /etc/
+# alternatives/rocm) with the HIP dev packages, so this script installs
+# only the ordinary system libraries gufo links against.
+#
+# Two host facts this build depends on, both discovered on 2026-09-28:
+#
+#   1. Ubuntu's librocwmma-dev ships a TRUNCATED rocWMMA header set (the
+#      public headers without rocwmma/internal/) into /usr/include, where
+#      it shadows AMD's complete copy under /opt/rocm/include. The first
+#      build died on "'internal/accessors.hpp' file not found" from
+#      /usr/include/rocwmma/rocwmma.hpp. A -I cannot fix it: in HIP mode
+#      the host compilation pass searches the system directories first.
+#      The package has no reverse dependencies, so it is removed.
+#   2. The ROCm clang picks the NEWEST /usr/include/c++ tree, which on
+#      Ubuntu 26.04 is GCC 16's. Its <atomic_wait.h> emits a symbol
+#      reference the installed libstdc++ (GLIBCXX_3.4.35, GCC 15) does not
+#      export, and the link fails with "undefined symbol:
+#      std::__detail::__notify_impl". --gcc-install-dir pins the headers to
+#      the same GCC the runtime library came from.
+set -euo pipefail
+
+GUFO_TAG="${GUFO_TAG:-v0.1.1}"
+GUFO_REPO="${GUFO_REPO:-https://github.com/gufo-org/gufo}"
+# The commit the tag resolved to when this runtime was qualified. A tag that
+# moves is an unreproducible runtime, so the pin is checked, not assumed.
+GUFO_COMMIT="${GUFO_COMMIT:-b0f8673470a3dcc2b5e9c9546c48a40b82b5ff31}"
+SRC_DIR="${GUFO_SRC_DIR:-/home/dank/GitPackages/gufo-src}"
+PREFIX="${GUFO_PREFIX:-/home/dank/GitPackages/gufo-${GUFO_TAG}}"
+JOBS="${JOBS:-$(nproc)}"
+# The GCC toolchain that owns the installed libstdc++ on this host.
+GCC_DIR="${GCC_DIR:-/usr/lib/gcc/x86_64-linux-gnu/15}"
+
+# check_pin — refuse a source tree that is not the qualified commit.
+check_pin() {
+    local commit
+    commit="$(git -C "$SRC_DIR" rev-parse HEAD 2>/dev/null || true)"
+    if [[ -n "$commit" && "$commit" != "$GUFO_COMMIT" ]]; then
+        echo "GUFO_COMMIT mismatch: $SRC_DIR is at $commit, pinned $GUFO_COMMIT" >&2
+        exit 1
+    fi
+}
+
+if [[ "${1:-}" == "--verify" ]]; then
+    # The pin first: a moved tag is the more urgent thing to hear about, and
+    # it is the check that must not be masked by a missing install.
+    check_pin
+    [[ -x "$PREFIX/bin/gufo" ]] || { echo "no gufo at $PREFIX/bin/gufo" >&2; exit 1; }
+    "$PREFIX/bin/gufo" diagnose | tail -n 5
+    exit 0
+fi
+
+echo "== system libraries gufo links against =="
+sudo -n apt-get install -y -qq --no-install-recommends \
+    build-essential cmake ninja-build pkg-config \
+    libicu-dev libcurl4-openssl-dev libssl-dev libpng-dev libjpeg-dev ffmpeg
+
+echo "== dropping Ubuntu's truncated rocWMMA headers =="
+if dpkg -s librocwmma-dev >/dev/null 2>&1; then
+    sudo -n apt-get remove -y -qq librocwmma-dev
+fi
+
+echo "== source: $GUFO_REPO @ $GUFO_TAG =="
+if [[ ! -d "$SRC_DIR/.git" ]]; then
+    mkdir -p "$(dirname "$SRC_DIR")"
+    git clone --depth 1 --branch "$GUFO_TAG" "$GUFO_REPO" "$SRC_DIR"
+fi
+git -C "$SRC_DIR" fetch --depth 1 origin "refs/tags/$GUFO_TAG"
+git -C "$SRC_DIR" checkout -q --detach "refs/tags/$GUFO_TAG"
+echo "   $(git -C "$SRC_DIR" rev-parse HEAD)"
+check_pin
+
+echo "== configure + build (release, HIP gfx1151) =="
+cd "$SRC_DIR"
+toolchain="--gcc-install-dir=$GCC_DIR"
+cmake --preset release \
+    -DCMAKE_INSTALL_PREFIX="$PREFIX" \
+    -DCMAKE_HIP_FLAGS="$toolchain" \
+    -DCMAKE_EXE_LINKER_FLAGS="$toolchain"
+cmake --build --preset release --parallel "$JOBS"
+cmake --install build/release
+
+echo "== verify =="
+"$PREFIX/bin/gufo" diagnose
+echo "frank-large runtime ready: $PREFIX/bin/gufo ($GUFO_TAG @ $commit)"
@@ -0,0 +1,89 @@
+#!/usr/bin/env bash
+# Build the ROCmFPX runtime that serves frank-large on Dankclaw.
+#
+#   bash scripts/build-rocmfpx.sh              # clone/fetch + build the pin
+#   bash scripts/build-rocmfpx.sh --verify     # only check the installed tree
+#
+# Runtime: kingjones30/ROCmFPX — charlie12345/ROCmFPX plus the model-card
+# patches, i.e. the fork that owns the ROCmFPx tensor formats. frank-large's
+# payload is ftype 115 (`Q8_0_ROCMFPX_AGENT`): 311 tensors of
+# GGML_TYPE_Q8_0_ROCMFPX (103), a type that exists ONLY in this fork, so
+# stock llama.cpp, gufo and every other loader on the host reject the file.
+# This is the same tree that served the Qwen3.8-Flash-Next ROCmFP4 STRIX
+# endpoint 2026-08-30 → 09-11 (see the kingjones runbook), rebuilt here so a
+# fresh host can be brought up from the repo alone.
+#
+# Why this commit and not a newer one: 36e9acd (2026-08-28) is what was
+# qualified against this payload on 2026-10-02 — it loads ftype 115, survives
+# warmup, and drafts with the MTP head at acceptance 0.65. The five legacy
+# builds of 2026-08-25 crashed this same file in ggml_compute_forward_set_rows
+# (see kingjones-q8agent-rocmfpx.md), so the pin is load-bearing: do not bump
+# it without re-running that crash test.
+#
+# Host notes:
+#   * -DLLAMA_BUILD_WEBUI=OFF is REQUIRED on this box. The tree provisions its
+#     embedded UI assets via npm or the HF llama-ui bucket; npm is absent here
+#     and the bucket download half-failed, aborting the link at 98%. The API
+#     server is unaffected.
+#   * The build links against the host ROCm (/opt/rocm); no bundled toolchain
+#     like the gfx1201 R9700 build needed.
+set -euo pipefail
+
+ROCMFPX_REPO="${ROCMFPX_REPO:-https://github.com/kingjones30/ROCmFPX.git}"
+# The commit frank-large was qualified with (measured 2026-10-02).
+ROCMFPX_COMMIT="${ROCMFPX_COMMIT:-36e9acd40e10a87cd3c3ef8ec734668757dc8520}"
+SRC_DIR="${ROCMFPX_SRC_DIR:-/home/dank/GitPackages/kingjones-ROCmFPX}"
+BUILD_DIR="${ROCMFPX_BUILD_DIR:-$SRC_DIR/build}"
+GPU_TARGET="${ROCMFPX_GPU_TARGET:-gfx1151}"
+JOBS="${JOBS:-$(nproc)}"
+
+# check_pin — refuse a source tree that is not the qualified commit. A moved
+# fork means different kernels under the same path, and on this model line a
+# wrong build is a segfault at first request, not a clean error.
+check_pin() {
+    local commit
+    commit="$(git -C "$SRC_DIR" rev-parse HEAD 2>/dev/null || true)"
+    if [[ -n "$commit" && "$commit" != "$ROCMFPX_COMMIT" ]]; then
+        echo "ROCMFPX_COMMIT mismatch: $SRC_DIR is at $commit, pinned $ROCMFPX_COMMIT" >&2
+        exit 1
+    fi
+}
+
+if [[ "${1:-}" == "--verify" ]]; then
+    check_pin
+    [[ -x "$BUILD_DIR/bin/llama-server" ]] || {
+        echo "no ROCmFPX llama-server at $BUILD_DIR/bin/llama-server" >&2
+        exit 1
+    }
+    # The format the endpoint exists for: the fork must carry the ROCmFPx
+    # tensor type, or the payload cannot load at all.
+    "$BUILD_DIR/bin/llama-server" --help 2>&1 | grep -q -- '--spec-type' || {
+        echo "$BUILD_DIR/bin/llama-server has no --spec-type: MTP drafting is impossible" >&2
+        exit 1
+    }
+    "$BUILD_DIR/bin/llama-server" --version | head -1
+    exit 0
+fi
+
+echo "== source: $ROCMFPX_REPO @ $ROCMFPX_COMMIT =="
+if [[ ! -d "$SRC_DIR/.git" ]]; then
+    mkdir -p "$(dirname "$SRC_DIR")"
+    git clone "$ROCMFPX_REPO" "$SRC_DIR"
+fi
+git -C "$SRC_DIR" fetch --quiet origin "$ROCMFPX_COMMIT" || true
+git -C "$SRC_DIR" checkout -q --detach "$ROCMFPX_COMMIT"
+check_pin
+echo "   $(git -C "$SRC_DIR" rev-parse HEAD)"
+
+echo "== configure + build (release, HIP $GPU_TARGET) =="
+cmake -S "$SRC_DIR" -B "$BUILD_DIR" \
+    -DGGML_HIP=ON \
+    -DGPU_TARGETS="$GPU_TARGET" \
+    -DGGML_NATIVE=ON \
+    -DCMAKE_BUILD_TYPE=Release \
+    -DLLAMA_BUILD_WEBUI=OFF
+cmake --build "$BUILD_DIR" --target llama-server llama-quantize -j "$JOBS"
+
+echo "== verify =="
+"$BUILD_DIR/bin/llama-server" --version | head -1
+echo "frank-large runtime ready: $BUILD_DIR/bin/llama-server ($ROCMFPX_COMMIT)"
@@ -0,0 +1,110 @@
+#!/usr/bin/env python3
+"""calib-push.py — drive a calibration corpus through a radiance scratch
+server's prefill so its tap writes layer Hessians (docs/MOE-W4.md).
+
+Runs ON DANKSERVER next to the scratch server (the one autoresearch- /
+serve-style scratch container booted with RADIANCE_CALIB_DIR set).
+Reads the corpus JSONL produced by make-calib-corpus.py
+({"prompt": "..."} a line), POSTs each prompt to /v1/completions with
+max_tokens=1 (prefill-only cost, one token out), at N-way concurrency
+matching the scratch server's --max-num-seqs budget.
+
+Corpus rounds repeat until the engine prints the tap's completion line
+("calibration wrote layer Hessians") in `podman logs <container>` — that
+is the ground truth that RADIANCE_CALIB_TOKENS was reached. After that
+line, further prompts are pure waste, so the driver exits.
+
+Mechanics notes:
+- requests carry no sampling params that matter (max_tokens=1, greedy).
+- a per-request timeout of 30 min: at ~1k tok/s prefill a 12k-token
+  prompt is a few seconds; the timeout only catches a wedged engine.
+- failures print and continue: the tap pools over tokens, a few lost
+  prompts do not bias the Hessians (the corpus is drawn round-robin over
+  source classes, so loss is class-neutral as long as failures are rare;
+  a systematic 4xx is loud in the log and must be fixed, not ignored).
+
+Usage: calib-push.py [--port 7770] [--parallel 64] [--container arbench]
+       [--corpus /home/dank/corpora/out/calib.jsonl] [--max-rounds 4]
+"""
+import argparse
+import concurrent.futures
+import json
+import subprocess
+import sys
+import time
+import urllib.request
+
+DONE_MARK = "calibration wrote"
+
+
+def tap_done(container):
+    """True if the engine logged the tap's completion line."""
+    try:
+        out = subprocess.run(
+            ["podman", "logs", "--tail", "50", container],
+            capture_output=True, text=True, timeout=30,
+        )
+    except Exception:
+        return False
+    return DONE_MARK in (out.stdout + out.stderr)
+
+
+def push_one(url, prompt):
+    body = json.dumps({
+        "model": "frank-archon",
+        "prompt": prompt,
+        "max_tokens": 1,
+        "temperature": 0,
+        "stream": False,
+    }).encode()
+    req = urllib.request.Request(
+        url, data=body, headers={"Content-Type": "application/json"})
+    try:
+        with urllib.request.urlopen(req, timeout=1800) as r:
+            r.read()
+        return True
+    except Exception as e:
+        print(f"FAIL {str(e)[:120]}", flush=True)
+        return False
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--port", type=int, default=7770)
+    ap.add_argument("--parallel", type=int, default=64)
+    ap.add_argument("--container", default="arbench")
+    ap.add_argument("--corpus", default="/home/dank/corpora/out/calib.jsonl")
+    ap.add_argument("--max-rounds", type=int, default=4)
+    a = ap.parse_args()
+    url = f"http://127.0.0.1:{a.port}/v1/completions"
+
+    prompts = []
+    with open(a.corpus) as f:
+        for line in f:
+            line = line.strip()
+            if line:
+                prompts.append(json.loads(line)["prompt"])
+    print(f"corpus: {len(prompts)} prompts", flush=True)
+
+    for rnd in range(1, a.max_rounds + 1):
+        if tap_done(a.container):
+            break
+        t0 = time.time()
+        ok = 0
+        with concurrent.futures.ThreadPoolExecutor(a.parallel) as ex:
+            for good in ex.map(lambda p: push_one(url, p), prompts):
+                ok += 1 if good else 0
+        dt = time.time() - t0
+        print(f"round {rnd}: {ok}/{len(prompts)} ok in {dt:.0f}s "
+              f"({sum(len(p) for p in prompts)/4/dt:.0f} chars/s est)",
+              flush=True)
+        if tap_done(a.container):
+            break
+    else:
+        print("max rounds exhausted, tap not done", flush=True)
+        sys.exit(1)
+    print("TAP_DONE: calibration wrote layer Hessians", flush=True)
+
+
+if __name__ == "__main__":
+    main()
@@ -0,0 +1,73 @@
+#!/usr/bin/env bash
+# convert-swift15-w4dn8.sh — RUNS ON DANKSERVER. The final recipe convert of
+# the Swift 1.5 checkpoint: gate_up experts through GPTQ against the 10M-token
+# calibration Grams, down projections block-fp8, protected experts bf16,
+# trunk int8, PLE fixed-scale fp8 (scripts/recipes/
+# qwen4exp-swift15-w4dn8-i8-hc8m.recipe).
+#
+# The convert engine is 1.0.13 — the SAME pin that will serve the result, so
+# the .rad crosses no version boundary. Only the Gram files cross versions
+# (1.2.0 wrote them; the RADGRAM2 magic, gram.r%d.%s.bin naming and the
+# calib_gram/calib_resolve/calib_stem symbols are byte-identical between the
+# two libquant.so). rad-convert runs on the host backend (no GPU visible in
+# the container) — production can stay up through this script.
+#
+# Prereqs (campaign order): calibration complete (calib-push printed TAP_DONE),
+# the protected-expert cast lines rewritten into the recipe by
+# derive-protected-experts.py, and the 335 GiB bf16 container deleted —
+# the peak-disk arithmetic needs that space (checkpoint 335.3 + output ~132
+# GiB on the volume; --reuse is NOT used, see the recipe header).
+set -euo pipefail
+
+PIN_1013=sha256:4c3f484564bb2872784e46b0a59cbd71becc9c1e746e301a3596ffae253c322e
+IMAGE="stilldeadcode/radiance@$PIN_1013"
+CKPT=/home/dank/models/ukisai/Swift1.5-Qwen3.8-Flash-Next
+RECIPE=/home/dank/serverAppConfigs-swift15/scripts/recipes/qwen4exp-swift15-w4dn8-i8-hc8m.recipe
+CALIB=/home/dank/corpora/calib
+OUT=/home/dank/models/rad/qwen4exp-swift15-w4dn8-i8-hc8m.rad
+LOG=/home/dank/logs/swift15_convert.log
+# gate_up ~37.6 + down ~18.8 + PLE 47.7 + trunk/embeddings/head ~10 GiB (all-w4 expert table;
+# the plugin's one-encoding law dropped the block-fp8 down tier -- see the recipe header).
+MIN_MIB=${FRANK_SWIFT15_RAD_MIN_MIB:-108000}
+
+# Gate 1: inputs. A missing Gram directory converts UNCALIBRATED with a
+# per-tensor stderr note, which is silently worse than failing here.
+[ -d "$CKPT" ] || { echo "no checkpoint at $CKPT" >&2; exit 1; }
+[ -f "$RECIPE" ] || { echo "no recipe at $RECIPE" >&2; exit 1; }
+GRAMS=$(find "$CALIB" -maxdepth 1 -name 'gram.r*.bin' 2>/dev/null | wc -l)
+[ "$GRAMS" -ge 48 ] || { echo "calib dir $CALIB holds $GRAMS gram files (<48)" >&2; exit 1; }
+if [ -e "$OUT" ]; then echo "$OUT already exists; move it to trash first" >&2; exit 1; fi
+if [ -e /home/dank/models/rad/qwen4exp-swift15-bf16.rad ]; then
+    echo "the bf16 container is still on disk; delete it first (peak disk)" >&2; exit 1
+fi
+
+# Gate 2: disk. Output ~132 GiB plus convert staging, 20 GiB of slack.
+FREE_MIB=$(df --output=avail -m /home/dank/models | tail -1 | tr -d ' ')
+[ "$FREE_MIB" -ge $((MIN_MIB + 20480)) ] || {
+    echo "only ${FREE_MIB} MiB free on /home/dank/models" >&2; exit 1; }
+
+# The recipe names $CALIB; rad-convert expands it from the environment
+# (MOE-W4.md:275). The recipe's cast section must name THIS checkpoint's
+# protected experts — derive-protected-experts.py rewrote it.
+echo "convert: $CKPT -> $OUT (gptq calib=$CALIB, $(date -Is))" | tee "$LOG"
+podman run --rm --name swift15-convert \
+    -v /home/dank/models:/models \
+    -v /home/dank/serverAppConfigs-swift15:/campaign:ro \
+    -v "$CALIB:/data/calib:ro" \
+    -e CALIB=/data/calib \
+    --entrypoint /opt/radiance/bin/rad-convert \
+    "$IMAGE" "/models/${CKPT#/home/dank/models/}" \
+    --recipe /campaign/"${RECIPE#/home/dank/serverAppConfigs-swift15/}" \
+    -o /models/rad/"$(basename "$OUT")" 2>&1 | tee -a "$LOG"
+rc=${PIPESTATUS[0]}
+[ "$rc" -eq 0 ] || { echo "rad-convert rc=$rc; log: $LOG" >&2; exit "$rc"; }
+
+# Gate 3: the artifact. rad-info's recipe echo is the receipt that GPTQ ran.
+SIZE_MIB=$(( $(stat -c %s "$OUT") / 1048576 ))
+[ "$SIZE_MIB" -ge "$MIN_MIB" ] || {
+    echo "$OUT is ${SIZE_MIB} MiB < floor ${MIN_MIB}" >&2; exit 1; }
+podman run --rm --entrypoint /opt/radiance/bin/rad-info \
+    -v /home/dank/models:/models:ro "$IMAGE" /models/rad/"$(basename "$OUT")" \
+    2>&1 | tee -a "$LOG" | grep -c 'gptq' >/dev/null \
+    || echo "WARNING: rad-info shows no gptq rule in the recorded recipe" >&2
+echo "CONVERT_DONE ${SIZE_MIB} MiB -> $OUT"
@@ -0,0 +1,71 @@
+#!/usr/bin/env bash
+# Single source of truth for Dankserver GLM-5.3 state.
+#
+# This exists because the ad-hoc status commands kept producing WRONG readings.
+# The specific trap: /proc/meminfo separates key from value with a TAB, so the
+# common idiom
+#   grep MemAvailable /proc/meminfo | tr -s " " | cut -d" " -f2
+# yields an empty field (tab is not a space) and awk then prints 0.0 -- which
+# reads as "host out of memory" when the host actually has 240 GiB free.
+# Everything below parses on a colon split, which is tab-agnostic, and the
+# memory figure is cross-checked before it is shown.
+set -uo pipefail
+
+MB=1048576
+GLM_CTR="${GLM_CTR:-glm-w4a16}"
+
+mem_field() { awk -v k="$1:" '$1==k {printf "%.1f", $2/'"$MB"'; exit}' /proc/meminfo; }
+section() { printf '\n== %s ==\n' "$1"; }
+
+section "time / host"
+printf '  %s   %s\n' "$(date +%H:%M:%S)" \
+  "$(awk -F: '/model name/{print $2; exit}' /proc/cpuinfo | sed 's/^ *//')"
+
+section "memory (GiB)"
+TOT=$(mem_field MemTotal); AVAIL=$(mem_field MemAvailable)
+printf '  MemTotal     %8s\n' "$TOT"
+printf '  MemAvailable %8s\n' "$AVAIL"
+printf '  Cached       %8s\n' "$(mem_field Cached)"
+awk -v t="$TOT" -v a="$AVAIL" 'BEGIN{
+  if (t+0 <= 0 || a+0 <= 0) { print "  *** PARSE BUG: zero value ***"; exit }
+  if (a+0 > t+0)         { print "  *** PARSE BUG: available > total ***"; exit }
+  printf "  check        ok (%.0f%% free)\n", 100*a/t
+}'
+
+section "swap"
+swapon --show=NAME,SIZE,USED --noheadings 2>/dev/null \
+  | awk '{printf "  %-12s %6s used of %s\n",$1,$3,$2}' || echo "  none"
+
+section "gpu"
+# CSV layout: device,VRAM Total Memory (B),VRAM Total Used Memory (B)
+rocm-smi --showmeminfo vram --csv 2>/dev/null | awk -F, '
+  NR>1 && $1 ~ /^card[0-9]+$/ {
+    printf "  %-8s %7.2f GiB used of %.2f\n", $1, $3/1073741824, $2/1073741824
+  }'
+printf '  compute util: '
+rocm-smi --showuse --csv 2>/dev/null | awk -F, 'NR>1 && $1 ~ /^card[0-9]+$/ {printf "%s=%s%% ", $1, $2}'
+echo
+
+section "disk"
+df -h /home/dank 2>/dev/null | awk 'NR==2{printf "  %s  %s used  %s free  (%s)\n",$1,$3,$4,$5}'
+
+section "llm containers"
+if podman ps -a --format '{{.Names}}' 2>/dev/null | grep -qE 'glm|frank'; then
+  podman ps -a --format '{{.Names}}|{{.Status}}' 2>/dev/null \
+    | awk -F'|' '$1 ~ /glm|frank/ {printf "  %-18s %s\n",$1,$2}'
+else
+  echo "  none"
+fi
+
+section "frank-primary unit"
+printf '  active:  %s\n' "$(systemctl is-active frank-primary 2>/dev/null | head -1)"
+printf '  enabled: %s\n' "$(systemctl is-enabled frank-primary 2>/dev/null | head -1)"
+
+section "glm serve tail"
+if podman ps -a --format '{{.Names}}' 2>/dev/null | grep -qx "$GLM_CTR"; then
+  podman logs "$GLM_CTR" 2>&1 | grep -viE 'multiproc_executor\.py:943' | tail -5 | sed 's/^/  /'
+else
+  echo "  (container $GLM_CTR not present)"
+fi
+
+section "done"
@@ -0,0 +1,55 @@
+#!/usr/bin/env python3
+"""deep-probe.py — one chat completion at ~43.6k prompt tokens, temp 0, 512
+generated, streamed; decode = completion_tokens / (total - ttft)."""
+import json, time, urllib.request
+
+TARGET_BYTES = int(43600 * 3.8)
+
+def build():
+    parts, n = [], 0
+    with open("/home/dank/corpora/out/calib.jsonl") as f:
+        for line in f:
+            p = json.loads(line)["prompt"]
+            parts.append(p)
+            n += len(p.encode())
+            if n >= TARGET_BYTES:
+                break
+    return "".join(parts)
+
+def main(salt):
+    body = json.dumps({
+        "model": "frank-archon",
+        "messages": [{"role": "user", "content": f"[probe {salt}] Continue and summarize this material in English, 400 words.\n\n" + build()}],
+        "temperature": 0.0, "max_tokens": 512,
+        "stream": True, "stream_options": {"include_usage": True},
+    }).encode()
+    req = urllib.request.Request("http://localhost:7770/v1/chat/completions",
+        data=body, headers={"Content-Type": "application/json"})
+    t0 = time.time(); ttft = None; ctok = 0; usage = {}
+    with urllib.request.urlopen(req, timeout=2400) as r:
+        for raw in r:
+            line = raw.decode().strip()
+            if not line.startswith("data:"):
+                continue
+            d = line[5:].strip()
+            if d == "[DONE]":
+                break
+            j = json.loads(d)
+            if j.get("usage"):
+                usage = j["usage"]
+            for ch in j.get("choices", []):
+                delta = (ch.get("delta") or {})
+                piece = delta.get("content") or delta.get("reasoning_content") or ""
+                if piece and ttft is None:
+                    ttft = time.time() - t0
+                ctok += 1
+    total = time.time() - t0
+    gen = usage.get("completion_tokens") or ctok
+    dec = gen / (total - (ttft or 0)) if total > (ttft or 0) else 0
+    print(json.dumps({"salt": salt, "prompt_tokens": usage.get("prompt_tokens"),
+                      "completion_tokens": gen, "ttft_s": round(ttft or 0, 2),
+                      "total_s": round(total, 1), "decode_tps": round(dec, 2)}))
+
+if __name__ == "__main__":
+    import sys
+    main(sys.argv[1] if len(sys.argv) > 1 else "x")
@@ -62,7 +62,7 @@ SERVICE_ORDER = (
    "lidarr",
    "readarr",
    "frank-large",
-    "frank-small",
+    "frank-secondary",
    "frank-primary",
 )

@@ -94,7 +94,7 @@ DANKCLAW_SERVICES = {
    "caddy",
    "homepage",
    "frank-large",
-    "frank-small",
+    "frank-secondary",
 }

 DANKSERVER_SERVICES = {
@@ -400,12 +400,12 @@ def services_for_path(path: str, target: str) -> set[str]:
            # change to it redeploying alertmanager is the only path that
            # reaches it on the host.
            _add(services, "alertmanager")
-        if name in {"frank-small.env", "frank-small.service", "serve-frank-small.sh"}:
-            # llama.cpp frank-small (2026-09-16) keeps its unit, env and serve
-            # files here; each one selects frank-small only. The ik_llama.cpp
+        if name in {"frank-secondary.env", "frank-secondary.service", "serve-frank-secondary.sh"}:
+            # llama.cpp frank-secondary (2026-09-16) keeps its unit, env and serve
+            # files here; each one selects frank-secondary only. The ik_llama.cpp
            # trio that lived here for two days is in scripts/.AGENTTRASH/,
            # which is archive material and plans nothing.
-            _add(services, "frank-small")
+            _add(services, "frank-secondary")
        if name in {"frank-large.env", "frank-large.service", "serve-frank-large.sh"}:
            # CIRU v4.4.1 frank-large (2026-09-19) keeps its unit, env and
            # serve files here the same way: a root unit on a host-built
@@ -90,7 +90,7 @@ service_is_allowed() {
        dankclaw:authentik-postgres|dankclaw:authentik-server|\
        dankclaw:authentik-worker|dankclaw:authentik-outpost|dankclaw:authentik-outpost-ldap|dankclaw:anubis|\
        dankclaw:caddy|dankclaw:homepage|dankclaw:seerr|dankclaw:marreta|\
-        dankclaw:frank-large|dankclaw:frank-small|\
+        dankclaw:frank-large|dankclaw:frank-secondary|\
        dankserver:romm-mariadb|dankserver:romm-redis|dankserver:romm|\
        dankserver:copyparty|dankserver:jellyfin|dankserver:calibre-web|dankserver:calibre-server|dankserver:plex|dankserver:tautulli|\
        dankserver:prowlarr|dankserver:qbittorrent|dankserver:radarr|\
@@ -322,6 +322,12 @@ deploy_homepage() {
    if [[ -d shared/homepage/fonts ]]; then
        run_privileged cp -r shared/homepage/fonts /srv/homepage/
    fi
+    if [[ -d shared/homepage/img ]]; then
+        run_privileged cp -r shared/homepage/img /srv/homepage/
+    fi
+    if [[ -d shared/homepage/sfx ]]; then
+        run_privileged cp -r shared/homepage/sfx /srv/homepage/
+    fi
    local deployed_at
    deployed_at="$(git log -1 --format=%cI)"
    printf 'window.DEPLOYED_AT = "%s";\n' "$deployed_at" > /tmp/deployed.js
@@ -935,15 +941,24 @@ deploy_plex() {
    fi
    systemctl --user restart plex.service
    # Readiness gate: /identity answers MediaContainer XML once PMS is up.
+    #
+    # HTTPS, NOT HTTP. PMS drops plain HTTP off-loopback: the probe's
+    # connection arrives on the container's eth0, so an http:// request is
+    # accepted and then answered with nothing (curl 52, Empty reply) against a
+    # perfectly healthy server. Measured 2026-10-02 — the gate burned its full
+    # 600s and failed a plex whose https://127.0.0.1:32400/identity answered
+    # 200 in 44 ms the whole time. The same law is why the Caddyfile dials the
+    # plex upstream over TLS (tests/caddyfile.bats pins it).
+    # -k: PMS presents its own self-signed cert on 32400.
+    #
    # Reality check from the 2026-09 cutover: the FIRST container boot of a
-    # years-old library ran ~10 min (PMS pre-binds 32400 during boot and
-    # empty-replies until the HTTP layer is ready), so the gate allows 600s.
+    # years-old library ran ~10 min, so the gate still allows 600s.
    # Fail the deploy (pending state preserved) rather than mark it deployed blind.
    for ((i = 1; i <= 120; i++)); do
-        curl -fsS --max-time 3 http://127.0.0.1:32400/identity >/dev/null && return 0
+        curl -fsSk --max-time 3 https://127.0.0.1:32400/identity >/dev/null && return 0
        sleep 5
    done
-    echo "FAIL: plex did not answer /identity within 600s" >&2
+    echo "FAIL: plex did not answer /identity over HTTPS within 600s" >&2
    return 1
 }

@@ -1077,20 +1092,37 @@ deploy_anubis() {
    wait_container_healthy anubis 60 || return 1
 }

-# frank-large is the stock llama.cpp prebuilt (unsloth b11030, ROCm
-# gfx1151) serving unsloth/Qwen3.8-27B-GGUF:UD-Q8_K_XL with the DFlash2
-# drafter (z-lab/Qwen3.8-27B-DFlash2-GGUF:Q4_K_M) on the Strix Halo iGPU,
-# as a ROOT unit since the 2026-09-19 cutover: the runtime is a prebuilt
-# binary, so there is no container image to install and no generated unit
-# to dodge. relink_unit points /etc/systemd/system/frank-large.service at
-# the repo file and boot persistence is that unit's [Install] section.
+# frank-large is the halogen-flash-server CONTAINER (0.16.2, digest-pinned
+# through scripts/frank-large.env) serving the Quat3rnion ABLITERATED
+# Swift1.5 finetune of peonist's Qwen3.8-Flash-Next v2 checkpoint —
+# qwen38-flash-next-v2-swift15-abliterated.hgn (66,687,678,464 B, ~62 GiB
+# resident) + the REQUIRED n-gram lookup table + the vision tower —
+# MTP spec decode (HALOGEN_SPEC_ADAPT=0), 2 slots x 200192, image input —
+# on the Strix Halo iGPU. It stays a ROOT unit because the serve script
+# drives `podman run` directly (the frank-primary pattern): relink_unit
+# points /etc/systemd/system/frank-large.service at the repo file, boot
+# persistence is that unit's [Install], and LimitMEMLOCK=infinity is
+# fleet parity. 2026-10-06 cutover from the halogen 27B-dense shape —
+# rollback = revert the swap commit's trio; the 27B payload stays on
+# disk (~/models/halogen-qwen3.8-27b).
 #
-# It replaces the Kairic Edge runtime (ciru-ai/ROCmFPX), which had
-# replaced the unsloth llama.cpp prebuilt serving
-# unsloth/Qwen3.8-Flash-Next-GGUF:UD-IQ4_XS. The port gate is the same as
-# every cutover since 2026-09-16: nothing starts until 7770 is released.
-LLM_LARGE_MODEL="${LLM_LARGE_MODEL:-/home/dank/models/Qwen3.8-27B-UD-Q8_K_XL/Qwen3.8-27B-UD-Q8_K_XL.gguf}"
-LLM_LARGE_DRAFT="${LLM_LARGE_DRAFT:-/home/dank/models/Qwen3.8-27B-UD-Q8_K_XL/Qwen3.8-27B-DFlash2-Q4_K_M.gguf}"
+# The gates mirror serve-frank-large.sh's predicates EXACTLY (the
+# 2026-10-01 crash-loop lesson): image digest in dank's podman storage,
+# each .hgn payload (checkpoint, n-gram table, vision tower) at the exact
+# byte count, the tokenizer directory holding every named file as a
+# regular (not symlinked) file — a green deploy against a missing
+# artifact would leave a restart-looping unit and a dark endpoint. The
+# port gate is the same as every cutover since 2026-09-16: nothing
+# starts until 7770 is released.
+LLM_LARGE_IMAGE="${LLM_LARGE_IMAGE:-ghcr.io/peonist-ai/halogen-flash-server@sha256:0c61bf84ac22308a53f5d1ca6b86806702d7039e5ebc51cae4c66621b92fe04a}"
+LLM_LARGE_CKPT="${LLM_LARGE_CKPT:-/home/dank/models/halogen-flashnext-v2/qwen38-flash-next-v2-swift15-abliterated.hgn}"
+LLM_LARGE_CKPT_BYTES="${LLM_LARGE_CKPT_BYTES:-66687678464}"
+LLM_LARGE_NGRAM="${LLM_LARGE_NGRAM:-/home/dank/models/halogen-flashnext-v2/qwen38-flash-next-ngram.hgn}"
+LLM_LARGE_NGRAM_BYTES="${LLM_LARGE_NGRAM_BYTES:-51200246144}"
+LLM_LARGE_VISION="${LLM_LARGE_VISION:-/home/dank/models/halogen-flashnext-v2/qwen38-flash-next-vision.hgn}"
+LLM_LARGE_VISION_BYTES="${LLM_LARGE_VISION_BYTES:-897916416}"
+LLM_LARGE_TOK_DIR="${LLM_LARGE_TOK_DIR:-/home/dank/models/halogen-flashnext-v2/tokenizer}"
+LLM_LARGE_TOK_FILES="${LLM_LARGE_TOK_FILES:-tokenizer.json chat_template.jinja tokenizer_config.json merges.txt vocab.json generation_config.json}"

 retire_halogen_large_quadlet() {
    local trash="$HOME/.AGENTTRASH/20260919-orca-cutover/quadlet"
@@ -1123,34 +1155,65 @@ wait_port_free() {
 }

 deploy_llm_large() {
-    # Refuse rather than restart-loop. A unit whose runtime or payload is
-    # missing never becomes healthy, and a green deploy would leave the
-    # endpoint dark with nothing in the deploy log to say why.
-    local missing=0 f
-    for f in "$LLM_LARGE_MODEL" "$LLM_LARGE_DRAFT"; do
-        if [[ ! -f "$f" ]]; then
-            echo "ERROR: payload absent at $f" >&2
-            echo "frank-large: fetch it: bash scripts/download-frank-large.sh" >&2
-            missing=1
+    # Refuse rather than restart-loop; every gate below has a twin in
+    # serve-frank-large.sh and they must agree (2026-10-01 lesson).
+    # Capture podman output before grepping: `podman images | grep -q`
+    # races under pipefail (SIGPIPE 141 becomes "no match", 2026-09-30).
+    if ! grep -qF "${LLM_LARGE_IMAGE#*@}" <<<"$(podman images --format '{{.RepoDigests}}' 2>/dev/null)"; then
+        echo "ERROR: halogen image absent: $LLM_LARGE_IMAGE" >&2
+        echo "frank-large: pull it: podman pull ${LLM_LARGE_IMAGE%@*}" >&2
+        return 1
+    fi
+    if [[ ! -f "$LLM_LARGE_CKPT" ]]; then
+        echo "ERROR: halogen checkpoint absent at $LLM_LARGE_CKPT" >&2
+        echo "frank-large: fetch it: bash scripts/download-frank-large-flashnext.sh" >&2
+        return 1
+    fi
+    if [[ "$(stat -c %s "$LLM_LARGE_CKPT")" != "$LLM_LARGE_CKPT_BYTES" ]]; then
+        echo "ERROR: halogen checkpoint is not $LLM_LARGE_CKPT_BYTES bytes (partial download?)" >&2
+        echo "frank-large: re-check: bash scripts/download-frank-large-flashnext.sh --verify-only" >&2
+        return 1
+    fi
+    for gate in "$LLM_LARGE_NGRAM:$LLM_LARGE_NGRAM_BYTES:n-gram table" \
+                "$LLM_LARGE_VISION:$LLM_LARGE_VISION_BYTES:vision tower"; do
+        IFS=: read -r gpath gbytes gname <<<"$gate"
+        if [[ ! -f "$gpath" ]]; then
+            echo "ERROR: halogen $gname absent at $gpath" >&2
+            echo "frank-large: fetch it: bash scripts/download-frank-large-flashnext.sh" >&2
+            return 1
+        fi
+        if [[ "$(stat -c %s "$gpath")" != "$gbytes" ]]; then
+            echo "ERROR: halogen $gname is not $gbytes bytes (partial download?)" >&2
+            echo "frank-large: re-check: bash scripts/download-frank-large-flashnext.sh --verify-only" >&2
+            return 1
+        fi
+    done
+    if [[ -L "$LLM_LARGE_TOK_DIR" || ! -d "$LLM_LARGE_TOK_DIR" ]]; then
+        echo "ERROR: tokenizer dir missing or a symlink at $LLM_LARGE_TOK_DIR" >&2
+        echo "frank-large: fetch it: bash scripts/download-frank-large-flashnext.sh" >&2
+        return 1
+    fi
+    for tf in $LLM_LARGE_TOK_FILES; do
+        if [[ ! -f "$LLM_LARGE_TOK_DIR/$tf" || -L "$LLM_LARGE_TOK_DIR/$tf" ]]; then
+            echo "ERROR: tokenizer file missing or a symlink: $LLM_LARGE_TOK_DIR/$tf" >&2
+            echo "frank-large: fetch it: bash scripts/download-frank-large-flashnext.sh" >&2
+            return 1
        fi
    done
-    [[ "$missing" -eq 0 ]] || return 1

    retire_halogen_large_quadlet
-    # On a re-deploy the predecessor is THIS unit: stop it before waiting on
-    # the port, or the wait deadlocks on the server it just stopped serving.
-    # Then sweep a stray manual run of the SAME model -- that is how a bench
-    # harness leaves the port busy. Match the model path, not the binary name:
-    # frank-small on this host is also a llama-server and must not be killed.
-    # The pattern never appears in the deploying shell's own command line, so
-    # -f is safe here (it is not in `bash deploy-remote.sh`).
+    # The predecessor on a re-deploy is THIS unit: stop it (ExecStop stops
+    # the container) before waiting on the port. The stray sweep is keyed
+    # on the FULL container name, which appears in the argv of a manual
+    # `podman run --name frank-large-halogen` / `podman wait` but NOT in
+    # this deployer's own command line (`bash deploy-remote.sh
+    # frank-large`) — so it cannot shoot itself in the foot (the fleet
+    # pkill law), and it can never match frank-secondary's llama-server.
    run_privileged systemctl stop frank-large.service 2>/dev/null || true
-    pkill -f 'Qwen3.8-27B-UD-Q8_K_XL' 2>/dev/null || true
-    # Nothing may start until the predecessor has released the port. On
-    # 2026-09-16 the cutover failed exactly here: the old server logged
-    # "Deactivated successfully", the next engine tried to bind 7770 a second
-    # later and reported "Address already in use". Gate on the port, not on
-    # hope.
+    pkill -f 'frank-large-halogen' 2>/dev/null || true
+    podman rm -f frank-large frank-large-halogen >/dev/null 2>&1 || true
+    # Nothing may start until the predecessor has released the port
+    # (2026-09-16: "Deactivated successfully" was not "port free").
    wait_port_free 7770 || return 1
    relink_unit frank-large
    run_privileged systemctl daemon-reload
@@ -1159,109 +1222,132 @@ deploy_llm_large() {
    wait_for_health frank-large http://127.0.0.1:7770/health 1200
 }

-# deploy_llm_small — frank-small is mainline llama.cpp on the RTX 3090, as a
-# ROOT unit: the runtime is a native CUDA binary, so there is no container
-# image to install and no generated unit to avoid. relink_unit points
-# /etc/systemd/system/frank-small.service at the repo file and boot persistence
-# is that unit's [Install] section.
+# deploy_llm_secondary — frank-secondary is llama.cpp (master build, CUDA sm_86) on
+# the RTX 3090 as a ROOT unit: the runtime is a native binary tree under
+# ~/GitPackages/llama-master/build-cuda, so there is no container image and
+# no generated unit to avoid. relink_unit points
+# /etc/systemd/system/frank-secondary.service at the repo file and boot
+# persistence is that unit's [Install] section.
 #
 # It is a SEPARATE endpoint on port 7771; frank-large keeps 7770. The 3090 is
 # not shared: frank-large's engine runs on the gfx1151 iGPU.
-LLM_SMALL_MODEL="${LLM_SMALL_MODEL:-/home/dank/models/Gemma4-12B-QAT/Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced-Q4_K_M.gguf}"
+LLM_SECONDARY_MODEL_FILE="${LLM_SECONDARY_MODEL_FILE:-/home/dank/models/Qwen35-9B-HauhauCS-Q6K/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf}"
+LLM_SECONDARY_RUNTIME="${LLM_SECONDARY_RUNTIME:-/home/dank/GitPackages/llama-master/build-cuda/bin/llama-server}"
+# The projector IS the vision capability here: the model is natively
+# multimodal and the Q6_K file carries no vision tensors — the publisher ships
+# its own BF16 projector in the same repo, so a deploy that starts without
+# this file silently ships a text-only endpoint. Checked unconditionally, like
+# frank-large's.
+LLM_SECONDARY_MMPROJ="${LLM_SECONDARY_MMPROJ:-/home/dank/models/Qwen35-9B-HauhauCS-Q6K/mmproj-Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf}"

-deploy_llm_small() {
-    if [[ ! -f "$LLM_SMALL_MODEL" ]]; then
-        echo "ERROR: model absent at $LLM_SMALL_MODEL" >&2
-        echo "frank-small: fetch HauhauCS/Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced (Q4_K_M, the mmproj and the MTP sidecar) first;" >&2
-        echo "frank-small: refusing to start a unit that cannot load." >&2
+deploy_llm_secondary() {
+    # Refuse rather than restart-loop: a unit whose runtime or payload is
+    # missing never becomes healthy, and a green deploy would leave the
+    # endpoint dark with nothing in the log to say why.
+    if [[ ! -x "$LLM_SECONDARY_RUNTIME" ]]; then
+        echo "ERROR: llama.cpp runtime absent at $LLM_SECONDARY_RUNTIME" >&2
+        echo "frank-secondary: build it (cmake -B build-cuda -DGGML_CUDA=ON" >&2
+        echo "frank-secondary: -DCMAKE_CUDA_ARCHITECTURES=86 -DCMAKE_CUDA_HOST_COMPILER=/usr/bin/gcc-13" >&2
+        echo "frank-secondary: && cmake --build build-cuda --target llama-server) first." >&2
        return 1
    fi
-    relink_unit frank-small
+    for f in "$LLM_SECONDARY_MODEL_FILE" "$LLM_SECONDARY_MMPROJ"; do
+        if [[ ! -f "$f" ]]; then
+            echo "ERROR: frank-secondary payload file absent at $f" >&2
+            echo "frank-secondary: run scripts/download-frank-secondary.sh first;" >&2
+            echo "frank-secondary: refusing to start a unit that cannot load." >&2
+            return 1
+        fi
+    done
+    relink_unit frank-secondary
    run_privileged systemctl daemon-reload
-    run_privileged systemctl enable frank-small.service
-    run_privileged systemctl restart frank-small.service
-    wait_for_health frank-small http://127.0.0.1:7771/health 900
+    run_privileged systemctl enable frank-secondary.service
+    run_privileged systemctl restart frank-secondary.service
+    wait_for_health frank-secondary http://127.0.0.1:7771/health 900 || return 1
+    # False-green hardening (frank-large's lesson): the port answering
+    # proves nothing about WHO answers — the unit must be active with a
+    # live MainPID, or a stray SGLang holdover is masquerading as deployed.
+    local main_pid
+    main_pid="$(run_privileged systemctl show -p MainPID --value frank-secondary.service)"
+    if [[ -z "$main_pid" || "$main_pid" == "0" ]]; then
+        echo "FAIL: :7771 answered but frank-secondary.service has no MainPID — a stray process holds the port" >&2
+        return 1
+    fi
+    echo "frank-secondary: health answered by unit MainPID $main_pid"
 }

-# deploy_llm_primary — frank-primary is the R9V radiance-vLLM fork (docker-
-# pinned prebuilt, gfx1201, driven through the docker->podman shim) serving
-# the unsloth Qwen3.8-Flash-Next Q8_0 payload (6 GGUF shards) with the MTP4
-# drafter on the two R9700s as a ROOT unit whose serve script execs the
-# fork's launcher through rootless podman as dank. Same port and alias as
-# the endpoints it replaced (the 2026-09-27 cutover from uncensored
-# IQ4_XS); the harness models.yml id is unchanged. The uncensored state dir
-# (/home/dank/r9v-state/uncensored) stays on disk as the rollback target.
+# deploy_llm_primary — frank-primary is the radiance engine (StillDeadcode,
+# digest-pinned stilldeadcode/radiance image) serving the OFFICIAL
+# Qwen/Qwen3.8-Flash-Next-FP8 at native block-FP8 precision from the
+# rad-convert container qwen4exp-fp8-native.rad, on BOTH R9700s (TP=2) as a
+# ROOT unit whose serve script drives `podman run` directly (the engine is
+# the image entrypoint; the image lives in dank's rootless podman storage).
+# 2026-10-05 cutover from FreeToken (pre-cutover tag
+# frank-primary-freetoken-pr587-20261005); before that, the tcclaviger vLLM
+# fork (tag frank-primary-vllm-shapeG-20261003). Same port and alias; the
+# harness models.yml id is unchanged.
 #
-# Gates: the on-host R9V setup state must exist and be ready (it carries the
-# pinned image digest and every payload path), the pinned runtime image must
-# be loadable from dank's rootless storage by its OCI manifest digest, the
-# PLE payload must match its pinned byte count, and every GGUF shard + the
-# mmproj must exist (per-file sha256 verification was setup's job at fetch
-# time, never re-hashed here).
-LLM_PRIMARY_STATE=/home/dank/r9v-state/q8xl/setup.json
-LLM_PRIMARY_CONTAINER=frank-primary-r9v
+# Gates: the image must exist under its digest ref in dank's rootless
+# storage (FRANK_PRIMARY_IMAGE), the .rad container file must exist at the
+# env's size floor (FRANK_PRIMARY_MODEL_FILE >= FRANK_PRIMARY_RAD_MIN_MIB —
+# a truncated convert is a guaranteed long-timeout boot), and the unit env
+# must be complete. Per-file sha256 verification is the fetch script's job
+# at download time and rad-convert/rad-info's job at build time, never
+# re-hashed here.
+LLM_PRIMARY_CONTAINER=frank-primary
+LLM_PRIMARY_LEGACY_CONTAINERS="frank-primary-qwen frank-primary-r9v qwen-fp8 glm-probe"

 deploy_llm_primary() {
    # Refuse rather than restart-loop: a unit whose image or payload is
    # missing never becomes healthy, and a green deploy would leave the
    # endpoint dark with nothing in the log to say why.
-    if [[ ! -f "$LLM_PRIMARY_STATE" ]]; then
-        echo "ERROR: R9V setup state absent: $LLM_PRIMARY_STATE" >&2
-        echo "frank-primary: run the profile setup on this host first" >&2
+    local env_file="/home/dank/serverAppConfigs/scripts/frank-primary.env"
+    local image model_dir model_file rad_min mib
+    if [[ ! -f "$env_file" ]]; then
+        echo "ERROR: frank-primary env file absent: $env_file" >&2
        return 1
    fi
-    local state_json image_digest model_dir ple_path ple_bytes
-    state_exports="$(python3 - "$LLM_PRIMARY_STATE" <<'PY'
-import json, shlex, sys
-state = json.load(open(sys.argv[1]))
-config = state.get("config") or {}
-if state.get("ready") is not True:
-    sys.exit("R9V setup state is not ready")
-for key in ("R9V_IMAGE", "R9V_MODEL_DIR", "R9V_PLE_PATH", "R9V_PLE_EXPECTED_BYTES",
-            "R9V_TARGET_REL", "R9V_TARGET_SHARD2_REL", "R9V_TARGET_SHARD3_REL",
-            "R9V_TARGET_SHARD4_REL", "R9V_TARGET_SHARD5_REL", "R9V_TARGET_SHARD6_REL",
-            "R9V_MMPROJ_REL"):
-    print(f"{key}={shlex.quote(config.get(key, ''))}")
-PY
-)" || return 1
-    eval "$state_exports"
-    if [[ -z "$R9V_IMAGE" || -z "$R9V_MODEL_DIR" || -z "$R9V_PLE_PATH" ]]; then
-        echo "ERROR: R9V setup state is missing image/model/PLE paths" >&2
+    image="$(sed -n 's/^FRANK_PRIMARY_IMAGE=//p' "$env_file" | tail -1)"
+    model_dir="$(sed -n 's/^FRANK_PRIMARY_MODEL_DIR=//p' "$env_file" | tail -1)"
+    model_file="$(sed -n 's/^FRANK_PRIMARY_MODEL_FILE=//p' "$env_file" | tail -1)"
+    rad_min="$(sed -n 's/^FRANK_PRIMARY_RAD_MIN_MIB=//p' "$env_file" | tail -1)"
+    if [[ -z "$image" || -z "$model_dir" || -z "$model_file" || -z "$rad_min" ]]; then
+        echo "ERROR: frank-primary.env missing FRANK_PRIMARY_IMAGE/MODEL_DIR/MODEL_FILE/RAD_MIN_MIB" >&2
        return 1
    fi
-    if ! podman images --format '{{.RepoDigests}}' | grep -qF "${R9V_IMAGE#sha256:}"; then
-        echo "ERROR: pinned R9V runtime image absent from rootless storage: $R9V_IMAGE" >&2
-        echo "frank-primary: load the image bundle (./r9v setup ...)" >&2
+    # The image gate is the digest ref itself: a name@sha256 ref exists in
+    # storage only if THAT manifest was pulled. One command — no
+    # pipefail/grep race (the 2026-09-30 lesson).
+    if ! podman image exists "$image"; then
+        echo "ERROR: runtime image absent from storage: $image" >&2
+        echo "frank-primary: podman pull docker://stilldeadcode/radiance:latest" >&2
        return 1
    fi
-    if [[ -n "$R9V_PLE_EXPECTED_BYTES" ]]; then
-        ple_bytes="$(stat -c %s "$R9V_PLE_PATH" 2>/dev/null || echo 0)"
-        if [[ "$ple_bytes" != "$R9V_PLE_EXPECTED_BYTES" ]]; then
-            echo "ERROR: PLE payload wrong size: $R9V_PLE_PATH (expected $R9V_PLE_EXPECTED_BYTES, found $ple_bytes)" >&2
-            echo "frank-primary: re-run the PLE derivation (./r9v setup ...)" >&2
-            return 1
-        fi
+    if [[ ! -f "$model_dir/$model_file" ]]; then
+        echo "ERROR: .rad container missing: $model_dir/$model_file" >&2
+        echo "frank-primary: run scripts/build-frank-primary-rad.sh" >&2
+        return 1
+    fi
+    mib=$(( $(stat -c %s "$model_dir/$model_file") / 1048576 ))
+    if [[ "$mib" -lt "$rad_min" ]]; then
+        echo "ERROR: .rad container too small: $model_dir/$model_file is ${mib} MiB, want >= $rad_min" >&2
+        echo "frank-primary: rebuild it (scripts/build-frank-primary-rad.sh --force)" >&2
+        return 1
    fi
-    local rel
-    for rel in "$R9V_TARGET_REL" "${R9V_TARGET_SHARD2_REL:-}" "${R9V_TARGET_SHARD3_REL:-}" \
-        "${R9V_TARGET_SHARD4_REL:-}" "${R9V_TARGET_SHARD5_REL:-}" "${R9V_TARGET_SHARD6_REL:-}" \
-        "$R9V_MMPROJ_REL"; do
-        [[ -z "$rel" ]] && continue
-        if [[ ! -f "$R9V_MODEL_DIR/$rel" ]]; then
-            echo "ERROR: payload file missing: $R9V_MODEL_DIR/$rel" >&2
-            echo "frank-primary: re-run the profile setup to fetch/verify the payload" >&2
-            return 1
-        fi
-    done

    # A stale container with the same name makes `podman run --name` fail at
    # start; remove any leftover from a failed previous attempt.
-    podman rm -f "$LLM_PRIMARY_CONTAINER" >/dev/null 2>&1 || true
    # A stopped unit can leave its container running: systemd's cgroup kill
    # races conmon's --rm cleanup, and the orphan holds the port and GPUs.
-    # Stop the unit, then remove the container BEFORE waiting on the port.
+    # Stop the unit, then remove the containers BEFORE waiting on the port.
+    # The legacy identities (the retired R9V container, the ad hoc
+    # experiment container qwen-fp8, the retired glm-probe) hold the same
+    # GPUs and die here too.
    run_privileged systemctl stop frank-primary.service 2>/dev/null || true
-    podman rm -f "$LLM_PRIMARY_CONTAINER" >/dev/null 2>&1 || true
+    local ctr
+    for ctr in $LLM_PRIMARY_LEGACY_CONTAINERS "$LLM_PRIMARY_CONTAINER"; do
+        podman rm -f "$ctr" >/dev/null 2>&1 || true
+    done
    # Nothing starts until the port is released: the lucebox cutover
    # (2026-09-26) and the frank-large cutover (2026-09-16) both failed
    # exactly here when the next engine bound 7770 a second too early.
@@ -1270,10 +1356,26 @@ PY
    run_privileged systemctl daemon-reload
    run_privileged systemctl enable frank-primary.service
    run_privileged systemctl restart frank-primary.service
-    # Cold start: the launcher's preflight doctor plus payload page-in
-    # (~93 GiB cold; expert cache fills after /health). Parity with every
-    # predecessor on this port.
-    wait_for_health frank-primary http://127.0.0.1:7770/health 1800 || return 1
+    # Cold start: .rad load + PLE pin + expert host-pool upload (the
+    # publisher's compose healthcheck allows a 15-minute start_period).
+    # Parity with every predecessor on this port. The HTTP listener binds
+    # AFTER the full load (main.cpp: engine.start() then engine.serve()),
+    # so during load the port REFUSES connections — a bare curl is honest
+    # here, unlike FreeToken's 200-while-loading body. (The MainPID check
+    # below still guards the stray-port case.)
+    local i ok=0
+    for ((i=1; i<=900; i++)); do
+        if curl -fsS http://127.0.0.1:7770/health 2>/dev/null >/dev/null; then
+            echo "frank-primary engine healthy after approximately $((i * 2))s"
+            ok=1
+            break
+        fi
+        sleep 2
+    done
+    if [[ "$ok" != 1 ]]; then
+        echo "FAIL: frank-primary /health never answered 200 in 1800s" >&2
+        return 1
+    fi
    # False-green hardening (the 2026-09-26 lesson): a bare curl against the
    # port cannot tell WHO answers — a stray probe holding :7770 satisfies
    # it while the unit is stopped. The deploy is only green if the unit
@@ -1472,7 +1574,7 @@ deploy_service() {
        seerr) deploy_seerr ;;
        marreta) deploy_marreta ;;
        frank-large) deploy_llm_large ;;
-        frank-small) deploy_llm_small ;;
+        frank-secondary) deploy_llm_secondary ;;
        frank-primary) deploy_llm_primary ;;
        hermes|hermes-dashboard|hermes-webui) deploy_hermes ;;
        romm|romm-mariadb|romm-redis|mariadb|redis) deploy_romm_stack "$service" ;;
@@ -141,7 +141,7 @@ valid_service() {
        dankclaw:alertmanager|\
        dankclaw:node-exporter|dankclaw:authentik-postgres|dankclaw:authentik-server|\
        dankclaw:authentik-worker|dankclaw:authentik-outpost|dankclaw:authentik-outpost-ldap|dankclaw:anubis|dankclaw:seerr|\
-        dankclaw:frank-large|dankclaw:frank-small|\
+        dankclaw:frank-large|dankclaw:frank-secondary|\
        dankserver:romm-mariadb|dankserver:romm-redis|dankserver:romm|\
        dankserver:copyparty|dankserver:jellyfin|dankserver:calibre-web|dankserver:calibre-server|dankserver:plex|dankserver:tautulli|\
        dankserver:qbittorrent|dankserver:radarr|dankserver:sonarr|\
@@ -196,6 +196,21 @@ else
    printf '    - %s\n' "${PLAN[@]}"
 fi

+# --- frankbook e2e trigger --------------------------------------------------
+# The *arr/qBittorrent e2e units walk links that terminate on FrankBook-Pro
+# (192.168.0.112), which sleeps when idle. The [3/3] e2e gate therefore runs
+# the frankbook Playwright project ONLY when something in its blast radius
+# changed since origin/main: the frankbook spec itself, the frankbook-pro
+# stack, the homepage registry, or the Caddyfile serving the arr vhosts.
+# Every other deploy skips it (tests/e2e/run.sh excludes the project by
+# default). See tests/e2e/specs/19-frankbook.spec.ts.
+FB_E2E_TRIGGER=0
+while IFS= read -r fb_path; do
+    case "$fb_path" in
+        tests/e2e/specs/19-frankbook.spec.ts|frankbook-pro/*|shared/homepage/services.json|dankclaw/Caddyfile) FB_E2E_TRIGGER=1 ;;
+    esac
+done < <(git diff --name-only "$BASE_REVISION" "$HEAD_REVISION")
+
 REMOTE="${REMOTE_USER}@${REMOTE_HOST}"
 REMOTE_ARGS=("$TARGET" "$HEAD_REVISION" "$REMOTE_DIR" "$REMOTE_SHELL")
 if [[ "${#EXPLICIT_SERVICES[@]}" -eq 0 ]]; then
@@ -209,6 +224,11 @@ if [[ "$DRY_RUN" -eq 1 ]]; then
    printf '[dry-run] Runner arguments:'
    printf ' %q' "${REMOTE_ARGS[@]}"
    printf '\n'
+    if [[ "$FB_E2E_TRIGGER" -eq 1 ]]; then
+        echo "[dry-run] e2e gate: frankbook project INCLUDED (frankbook trigger paths changed)."
+    else
+        echo "[dry-run] e2e gate: frankbook project EXCLUDED (no frankbook trigger paths)."
+    fi
    exit 0
 fi

@@ -250,7 +270,12 @@ if [[ "$SKIP_E2E" -eq 1 ]]; then
    echo "[3/3] e2e gate SKIPPED (--skip-e2e): live fleet NOT verified." >&2
 else
    echo "[3/3] Running Playwright e2e gate against the live fleet..."
-    if bash "$REPO_ROOT/tests/e2e/run.sh"; then
+    E2E_ENV=()
+    if [[ "$FB_E2E_TRIGGER" -eq 1 ]]; then
+        echo "      frankbook trigger paths changed: including the frankbook e2e project."
+        E2E_ENV=(E2E_INCLUDE_FRANKBOOK=1)
+    fi
+    if env "${E2E_ENV[@]}" bash "$REPO_ROOT/tests/e2e/run.sh"; then
        echo "e2e gate PASSED."
    else
        echo "=== DEPLOY INCOMPLETE: e2e gate FAILED on $TARGET ===" >&2
@@ -0,0 +1,117 @@
+#!/usr/bin/env python3
+"""derive-protected-experts.py — rewrite the recipe's protected-expert section
+from a calibration recording. RUNS ON DANKSERVER (venv: numpy).
+
+The law (docs/MOE-W4.md "Protected experts", restated in the recipe):
+an expert whose share of its layer's down-input energy is at least 3% AND
+at least three times its share of the routing is kept bf16; the count must
+be EVEN on each rank's half of the layer (the four-bit GEMM takes the rest
+as two equal tables by parity) — an odd half gains its next most energetic
+non-qualifying expert.
+
+Data: the calibration dir's per-expert down Grams,
+gram.r<rank>.blk.L.ffn_down_exps.<e>.bin — 32-byte RADGRAM2 header
+(magic, k, rank, rows, domain) then k*k f32, named with the checkpoint's
+GLOBAL expert numbering (arch/common/rad_block_moe_fp8.h: ge =
+expert_base + e). rows (header) is the expert's routing count; the trace
+of the Gram is its down-input energy. Rank halves: 0-255, 256-511
+(contiguous expert_base split at TP=2).
+
+Output: the cast-rule lines (recipe format) on stdout, a report on stderr.
+
+Usage: derive-protected-experts.py <calib dir> [--min-share 0.03]
+       [--min-route-mult 3.0]
+"""
+import argparse
+import glob
+import os
+import re
+import struct
+import sys
+
+import numpy as np
+
+NAME_RE = re.compile(r"^gram\.r(\d)\.blk\.(\d+)\.ffn_down_exps\.(\d+)\.bin$")
+
+
+def read_gram(path):
+    """(k, rank, rows, trace) from a RADGRAM2 file (full matrix on disk)."""
+    with open(path, "rb") as f:
+        hdr = f.read(32)
+        magic, k, rank, rows, domain = struct.unpack("<8sIIQI", hdr[:28])
+        if magic != b"RADGRAM2":
+            raise SystemExit(f"not a RADGRAM2 file: {path}")
+        n = k * k
+        a = np.frombuffer(f.read(n * 4), dtype=np.float32)
+        if a.size != n:
+            raise SystemExit(f"short gram file: {path}")
+        tr = float(a.reshape(k, k).diagonal().sum())
+    return k, rank, int(rows), tr
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("calib_dir")
+    ap.add_argument("--min-share", type=float, default=0.03)
+    ap.add_argument("--min-route-mult", type=float, default=3.0)
+    a = ap.parse_args()
+
+    # layer -> global expert -> (rank, rows, energy)
+    data = {}
+    for path in sorted(glob.glob(os.path.join(
+            a.calib_dir, "gram.r*.ffn_down_exps.*.bin"))):
+        m = NAME_RE.match(os.path.basename(path))
+        if not m:
+            continue
+        rank, layer, expert = int(m.group(1)), int(m.group(2)), int(m.group(3))
+        k, _, rows, tr = read_gram(path)
+        data.setdefault(layer, {})[expert] = (rank, rows, tr)
+
+    if not data:
+        raise SystemExit("no per-expert down grams found")
+
+    lines, report = [], []
+    total = 0
+    for layer in sorted(data):
+        experts = data[layer]
+        tot_e = sum(v[2] for v in experts.values())
+        tot_r = sum(v[1] for v in experts.values())
+        if tot_e <= 0 or tot_r <= 0:
+            report.append(f"blk.{layer}: empty recording, skipped")
+            continue
+        qual, pool = [], []
+        for e, (rank, rows, tr) in experts.items():
+            es, rs = tr / tot_e, rows / max(tot_r, 1)
+            rec = (e, rank, es, rs)
+            if es >= a.min_share and es >= a.min_route_mult * rs:
+                qual.append(rec)
+            elif es > 0:
+                pool.append(rec)
+        chosen = {r[0]: (r[2], r[3]) for r in qual}
+        for half in (0, 1):  # rank halves by the contiguous expert_base split
+            n_half = sum(1 for e in chosen if e // 256 == half)
+            if n_half % 2:
+                pool.sort(key=lambda r: -r[2])
+                for cand in pool:
+                    if cand[1] == half and cand[0] not in chosen:
+                        chosen[cand[0]] = (cand[2], cand[3])
+                        report.append(
+                            f"blk.{layer}: half {half} odd -> added e{cand[0]} "
+                            f"(energy {cand[2]*100:.2f}%)")
+                        break
+        for e in sorted(chosen):
+            es, rs = chosen[e]
+            lines.append(f"blk.{layer}.ffn_*_exps.{e}.weight"
+                         f"         cast dtype=bf16")
+            report.append(f"blk.{layer} e{e:3d} (rank {e // 256}): "
+                          f"energy {es*100:5.2f}%, routing {rs*100:5.3f}%, "
+                          f"ratio {es/max(rs,1e-12):6.1f}")
+        total += len(chosen)
+
+    print("\n".join(lines))
+    print("\n".join(report), file=sys.stderr)
+    print(f"total protected: {total}", file=sys.stderr)
+
+
+if __name__ == "__main__":
+    main()
@@ -0,0 +1,119 @@
+#!/usr/bin/env bash
+# download-frank-large-flashnext.sh — fetch frank-large's flash-server v2
+# payload: the Quat3rnion abliterated Swift1.5 checkpoint of peonist's v2
+# .hgn, the REQUIRED lookup table and the optional vision tower from
+# peonist-ai/halogen-qwen3.8-flash-next (both at the revisions the model
+# card pins), and the flat tokenizer the two repos share. All public, no
+# token — and per the fleet secret law, none would ever touch argv.
+#
+# The fetch law, same as every sibling script: curl -f (an access error
+# must not become a "successful" 153-byte artifact), exact byte count from
+# the Hub tree API, LFS sha256 verification, --verify-only to re-check an
+# existing payload without downloading.
+#
+# File manifest (verified against the Hub tree API on 2026-10-06):
+#   qwen38-flash-next-v2-swift15-abliterated.hgn  66,687,678,464 B  sha256
+#     9c880b8ba48deabfa06172eff1e7572e4fe465e09e97faec6e50c3f6fdcac037
+#     (Quat3rnion main; compacted r2 of the card's 89,775,868,032 B
+#     append-only original — byte-identical live tensors, dropped padding)
+#   qwen38-flash-next-ngram.hgn  51,200,246,144 B  sha256
+#     3450acada94e19aabad88bd49b45eb70304820949c2240fc178067b20ae5dffe
+#     (peonist @5cc17cea; REQUIRED — the engine reads it beside the
+#     checkpoint)
+#   qwen38-flash-next-vision.hgn  897,916,416 B  sha256
+#     d62e0ae553fe88afd3833733d4a4c669f34d20fd8dfce4b9610525bed2134b10
+#     (peonist @e053f488; optional, enables image input)
+#   tokenizer/* @e053f488 — byte-identical to the 27B-era tokenizer
+#     already on disk (tokenizer.json LFS
+#     0997f410c57a1f4e53b09e4be8f4a172d90edd9564368fb0847030937229b9f3);
+#     fetched fresh rather than symlinked, per the no-symlink law.
+set -euo pipefail
+
+DEST="${FRANK_LARGE_MODEL_DIR:-$HOME/models/halogen-flashnext-v2}"
+ABLIT="https://huggingface.co/Quat3rnion/halogen-swift1.5-qwen3.8-flash-next-v2-abliterated/resolve/main"
+PEONIST="https://huggingface.co/peonist-ai/halogen-qwen3.8-flash-next/resolve"
+NGRAM_REV="5cc17cea1a10b502b4a5db41d8d2b1a0f22dba26"
+TOK_REV="e053f488b120b99ed2525e6ac99f68c51b3b6179"
+
+FILES=(qwen38-flash-next-v2-swift15-abliterated.hgn
+       qwen38-flash-next-ngram.hgn
+       qwen38-flash-next-vision.hgn
+       tokenizer/tokenizer.json
+       tokenizer/chat_template.jinja
+       tokenizer/generation_config.json
+       tokenizer/merges.txt
+       tokenizer/vocab.json
+       tokenizer/tokenizer_config.json)
+SIZES=(66687678464
+       51200246144
+       897916416
+       12809320
+       8952
+       202
+       3353259
+       6722759
+       17928)
+SHAS=(9c880b8ba48deabfa06172eff1e7572e4fe465e09e97faec6e50c3f6fdcac037
+      3450acada94e19aabad88bd49b45eb70304820949c2240fc178067b20ae5dffe
+      d62e0ae553fe88afd3833733d4a4c669f34d20fd8dfce4b9610525bed2134b10
+      0997f410c57a1f4e53b09e4be8f4a172d90edd9564368fb0847030937229b9f3
+      - - - - - -)
+
+# Fetch source per file: repo base + revision (empty = ABLIT @main).
+SRCS=("$ABLIT"
+      "$PEONIST/$NGRAM_REV"
+      "$PEONIST/$TOK_REV"
+      "$PEONIST/$TOK_REV"
+      "$PEONIST/$TOK_REV"
+      "$PEONIST/$TOK_REV"
+      "$PEONIST/$TOK_REV"
+      "$PEONIST/$TOK_REV"
+      "$PEONIST/$TOK_REV")
+
+VERIFY_ONLY=0
+[ "${1:-}" = "--verify-only" ] && VERIFY_ONLY=1
+
+mkdir -p "$DEST"
+
+for i in "${!FILES[@]}"; do
+    f="${FILES[$i]}"; want="${SIZES[$i]}"; sha="${SHAS[$i]}"; base="${SRCS[$i]}"
+    path="$DEST/$f"
+    mkdir -p "$(dirname "$path")"
+    if [ "$VERIFY_ONLY" -eq 0 ]; then
+        # A file already at the published size skips the fetch entirely:
+        # resuming it would ask the CDN for a range past EOF (416 -> curl
+        # error under set -e), and re-pulling 62 GiB to prove a point is
+        # not what --verify-only is for. sha256 below still decides.
+        if [ -f "$path" ] && [ "$(stat -c %s "$path")" = "$want" ]; then
+            echo "HAVE  $f ($want bytes) — skipping fetch"
+        else
+            echo "FETCH $f -> $path"
+            # HF answers /resolve/ with a 302 to the Xet CDN and curl DROPS
+            # the Range header across redirects — a naive -C - then
+            # "resumes" by pulling the ~1 KB redirect body (measured
+            # 2026-10-05 on the 27B fetch: file frozen 14 MiB short, curl
+            # exit 0). Resolve the effective URL first, then resume
+            # against the CDN, which honors Range.
+            url=$(curl -sfIL -o /dev/null -w '%{url_effective}' "$base/$f") \
+                || { echo "cannot resolve $base/$f" >&2; exit 1; }
+            curl -fL --retry 5 -C - -o "$path" "$url"
+        fi
+    fi
+    [ -f "$path" ] || { echo "MISSING $path (run without --verify-only)" >&2; exit 1; }
+    got="$(stat -c %s "$path")"
+    [ "$got" = "$want" ] || { echo "SIZE $path: $got != $want" >&2; exit 1; }
+    echo "OK   $f ($got bytes)"
+done
+
+echo "byte counts match; verifying sha256 where the Hub publishes an LFS oid..."
+for i in "${!FILES[@]}"; do
+    f="${FILES[$i]}"; sha="${SHAS[$i]}"
+    if [ "$sha" = "-" ]; then
+        echo "OK   $f (plain git blob, size-checked)"
+        continue
+    fi
+    got="$(sha256sum "$DEST/$f" | cut -d' ' -f1)"
+    [ "$got" = "$sha" ] || { echo "SHA256 $f: $got != $sha" >&2; exit 1; }
+    echo "OK   $f sha256"
+done
+echo "DOWNLOAD_DONE $DEST"
@@ -0,0 +1,76 @@
+#!/usr/bin/env bash
+# download-frank-large-halogen.sh — fetch frank-large's halogen payload:
+# the qwen3.8-27b .hgn checkpoint and the export tokenizer, from the
+# PUBLIC peonist-ai/halogen-qwen3.8-27b repo (no token — and per the fleet
+# secret law, none would ever touch argv).
+#
+# The fetch law, same as every sibling script: curl -f (an access error
+# must not become a "successful" 153-byte artifact), exact byte count from
+# the model card, LFS sha256 verification, --verify-only to re-check an
+# existing payload without downloading.
+set -euo pipefail
+
+DEST="${FRANK_LARGE_MODEL_DIR:-$HOME/models/halogen-qwen3.8-27b}"
+BASE="https://huggingface.co/peonist-ai/halogen-qwen3.8-27b/resolve/main"
+
+FILES=(qwen3.8-27b-p1w4d-d2.hgn
+       tokenizer/tokenizer.json
+       tokenizer/vocab.json
+       tokenizer/merges.txt
+       tokenizer/chat_template.jinja
+       tokenizer/tokenizer_config.json)
+# Byte sizes as published by the Hub on 2026-10-05, plus sha256 (the LFS
+# oid) where the Hub stores an LFS object — plain git blobs carry no oid
+# and are size-checked only. Re-check with:
+# curl -s "https://huggingface.co/api/models/peonist-ai/halogen-qwen3.8-27b/tree/main?recursive=true"
+SIZES=(35865565184 12809320 6722759 3353259 8952 17928)
+SHAS=(274c3fc767fb57faf025dd03c76376b1fc1b32448aef45aaf02d1898fa962089
+      0997f410c57a1f4e53b09e4be8f4a172d90edd9564368fb0847030937229b9f3 - - - -)
+
+VERIFY_ONLY=0
+[ "${1:-}" = "--verify-only" ] && VERIFY_ONLY=1
+
+mkdir -p "$DEST"
+
+for i in "${!FILES[@]}"; do
+    f="${FILES[$i]}"; want="${SIZES[$i]}"; sha="${SHAS[$i]}"
+    path="$DEST/$f"
+    mkdir -p "$(dirname "$path")"
+    if [ "$VERIFY_ONLY" -eq 0 ]; then
+        # A file already at the published size skips the fetch entirely:
+        # resuming it would ask the CDN for a range past EOF (416 -> curl
+        # error under set -e), and re-pulling 33.4 GiB to prove a point is
+        # not what --verify-only is for. sha256 below still decides.
+        if [ -f "$path" ] && [ "$(stat -c %s "$path")" = "$want" ]; then
+            echo "HAVE  $f ($want bytes) — skipping fetch"
+        else
+            echo "FETCH $f -> $path"
+            # HF answers /resolve/ with a 302 to the Xet CDN and curl DROPS
+            # the Range header across redirects — a naive -C - then
+            # "resumes" by pulling the ~1 KB redirect body (measured
+            # 2026-10-05: file frozen 14 MiB short, curl exit 0). Resolve
+            # the effective URL first, then resume against the CDN, which
+            # honors Range.
+            url=$(curl -sfIL -o /dev/null -w '%{url_effective}' "$BASE/$f") \
+                || { echo "cannot resolve $BASE/$f" >&2; exit 1; }
+            curl -fL --retry 5 -C - -o "$path" "$url"
+        fi
+    fi
+    [ -f "$path" ] || { echo "MISSING $path (run without --verify-only)" >&2; exit 1; }
+    got="$(stat -c %s "$path")"
+    [ "$got" = "$want" ] || { echo "SIZE $path: $got != $want" >&2; exit 1; }
+    echo "OK   $f ($got bytes)"
+done
+
+echo "byte counts match; verifying sha256 where the Hub publishes an LFS oid..."
+for i in "${!FILES[@]}"; do
+    f="${FILES[$i]}"; sha="${SHAS[$i]}"
+    if [ "$sha" = "-" ]; then
+        echo "OK   $f (plain git blob, size-checked)"
+        continue
+    fi
+    got="$(sha256sum "$DEST/$f" | cut -d' ' -f1)"
+    [ "$got" = "$sha" ] || { echo "SHA256 $f: $got != $sha" >&2; exit 1; }
+    echo "OK   $f sha256"
+done
+echo "DOWNLOAD_DONE $DEST"
@@ -0,0 +1,116 @@
+#!/usr/bin/env bash
+# Download kingjones777/Qwen3.8-27B-Uncensored-ROCmFP4-STRIX-MTP-GGUF for
+# frank-large (Dankclaw iGPU). Public repo — no auth header, and never a token
+# on the command line (it is world-readable in /proc/<pid>/cmdline).
+#
+# The payload is the repo's Q6 AGENT rung:
+#   * Qwen3.8-27B-Uncensored-Q6_0_ROCMFPX_AGENT.gguf — ftype 114, 23.15 GiB.
+#     Q6_0_ROCMFPX tensor type (102) + the AGENT routing, which keeps the
+#     output-head and attention tensors at plain Q8_0 — the variant the card
+#     names for MTP serving ("Take Q6 AGENT (114) if you want protected
+#     heads"). Like every ROCmFPX file it loads on nothing but the fork.
+#
+# The other two files frank-large needs are NOT re-downloaded:
+#   * mtp-Qwen3.8-27B-Q4_0.gguf — the uncensored repo redistributes the
+#     ALIGNED repo's draft head byte for byte (identical Hub LFS oid
+#     051a1764…), so it is hardlinked out of the aligned payload dir when that
+#     dir holds the verified bytes, and fetched from this repo otherwise.
+#   * mmproj-Qwen3.8-27B-BF16.gguf — this repo ships a Q8_0 projector; the
+#     fleet keeps the BF16 one, which is the projector that was verified 4/4
+#     on spatial ground truth on this host. Hardlinked the same way, fetched
+#     from the ALIGNED repo if it is not on disk.
+#
+# Fresh downloads, no resume (`curl -C -` once produced an oversized file on a
+# 31 GiB payload); -f/--fail-with-body so an HTTP 401 is not a success, then
+# byte count and the Hub LFS sha256. Idempotent: complete files are skipped.
+#
+# Usage:
+#   scripts/download-frank-large-kingjones-uncensored.sh [DEST_DIR] [--verify-only]
+set -euo pipefail
+
+REPO="kingjones777/Qwen3.8-27B-Uncensored-ROCmFP4-STRIX-MTP-GGUF"
+ALIGNED_REPO="kingjones777/Qwen3.8-27B-ROCmFP4-STRIX-MTP-GGUF"
+BASE="https://huggingface.co/${REPO}/resolve/main"
+ALIGNED_BASE="https://huggingface.co/${ALIGNED_REPO}/resolve/main"
+SOURCE_DIR="${SOURCE_DIR:-/home/dank/models/kingjones-Qwen3.8-27B-ROCmFP4-STRIX-MTP}"
+
+DEST=""
+VERIFY_ONLY=0
+for arg in "$@"; do
+    case "$arg" in
+        --verify-only) VERIFY_ONLY=1 ;;
+        *) DEST="$arg" ;;
+    esac
+done
+DEST="${DEST:-/home/dank/models/kingjones-Qwen3.8-27B-Uncensored-ROCmFP4-STRIX-MTP}"
+
+# name bytes sha256 base_url may_link — may_link=1 means the same bytes may
+# already exist in SOURCE_DIR (hardlink them instead of re-fetching).
+FILES=(
+  "Qwen3.8-27B-Uncensored-Q6_0_ROCMFPX_AGENT.gguf 24856607008 e966deb3d1a5a1b9ca7765126292f2d822f3dccdedb3b4872e673dec1cddc199 $BASE 0"
+  # The draft head is redistributed byte-identical by both repos; the BF16
+  # projector only exists in the aligned repo.
+  "mtp-Qwen3.8-27B-Q4_0.gguf 1680271648 051a1764cff8c4f3ee6ae8b00593a0364c7539c67fa50ffc58f3f96509fca38e $BASE 1"
+  "mmproj-Qwen3.8-27B-BF16.gguf 931145888 de2a49866988ea272c43dc2a43ee2662c25725a717ca5b9059ea420a97f53fe8 $ALIGNED_BASE 1"
+)
+
+matches() {  # matches FILE SIZE SHA — byte count AND LFS sha256
+    [[ -f "$1" ]] && [[ "$(stat -c%s "$1")" == "$2" ]] \
+        && sha256sum -c --quiet <(printf '%s  %s\n' "$3" "$1")
+}
+
+mkdir -p "$DEST"
+status=0
+
+fetch() {  # fetch NAME SIZE SHA BASE_URL
+    local name="$1" size="$2" sha="$3" url="$4" f="$DEST/$1"
+    echo "FETCHING  $name"
+    curl -fsSL --fail-with-body -o "$f.part" "$url/$name"
+    mv "$f.part" "$f"
+    if [[ "$(stat -c%s "$f")" != "$size" ]]; then
+        echo "SIZE FAIL $name ($(stat -c%s "$f") != $size)"
+        return 1
+    fi
+    if ! sha256sum -c --quiet <(printf '%s  %s\n' "$sha" "$f"); then
+        echo "SHA FAIL  $name"
+        return 1
+    fi
+    echo "VERIFIED  $name"
+}
+
+for entry in "${FILES[@]}"; do
+    read -r name size sha url may_link <<<"$entry"
+    f="$DEST/$name"
+    if matches "$f" "$size" "$sha"; then
+        echo "OK        $name"
+        continue
+    fi
+    if (( VERIFY_ONLY )); then
+        echo "MISSING   $name"
+        status=1
+        continue
+    fi
+    # Shared bytes: prefer the local copy (same filesystem, so a hardlink costs
+    # nothing) over re-downloading gigabytes that hash identically.
+    if [[ "$may_link" == 1 && -n "${SOURCE_DIR:-}" ]] && matches "$SOURCE_DIR/$name" "$size" "$sha"; then
+        echo "LINKING   $name from $SOURCE_DIR"
+        ln -f "$SOURCE_DIR/$name" "$f" 2>/dev/null || cp -f "$SOURCE_DIR/$name" "$f"
+        if matches "$f" "$size" "$sha"; then
+            echo "VERIFIED  $name"
+            continue
+        fi
+        echo "SHA FAIL  $name (linked copy)"
+        status=1
+        continue
+    fi
+    if ! fetch "$name" "$size" "$sha" "$url"; then
+        status=1
+    fi
+done
+
+if (( status == 0 )); then
+    echo "DOWNLOAD_DONE $DEST"
+else
+    echo "DOWNLOAD_FAILED $DEST" >&2
+fi
+exit "$status"
@@ -0,0 +1,91 @@
+#!/usr/bin/env bash
+# Download kingjones777/Qwen3.8-27B-ROCmFP4-STRIX-MTP-GGUF for frank-large
+# (Dankclaw iGPU). Public repo — no auth header, and never a token on the
+# command line (it is world-readable in /proc/<pid>/cmdline).
+#
+# The payload is the repo's highest-quality target plus its MTP draft head and
+# vision projector:
+#   * Qwen3.8-27B-Q8_0_ROCMFPX_AGENT.gguf — ftype 115, 187 tensors at plain
+#     Q8_0 and 311 at GGML_TYPE_Q8_0_ROCMFPX (103). The AGENT routing keeps the
+#     output-head tensors at full Q8_0 (187 vs 2 in the non-AGENT build), which
+#     is the variant to take when serving with the MTP head.
+#   * mtp-Qwen3.8-27B-Q4_0.gguf — the draft head. Q4_0, NOT Q8_0: the head's
+#     per-step cost is its projection over a 248K vocabulary, so the cheaper
+#     head is faster end to end at equal acceptance (author: +6.0% at n-max 1,
+#     +10.2% at n-max 2).
+#   * mmproj-Qwen3.8-27B-BF16.gguf — the vision tower (verified 4/4 on spatial
+#     ground truth with -fa on).
+#
+# Fresh downloads, no resume (`curl -C -` once produced an oversized file on a
+# 31 GiB payload); -f/--fail-with-body so an HTTP 401 is not a success, then
+# byte count and the Hub LFS sha256. Idempotent: complete files are skipped.
+#
+# The repo's own SHA256SUMS covers only the ROCmFP4 files, so the hashes below
+# come from the Hub LFS oids (api/models/<repo>/tree/main).
+#
+# Usage:
+#   scripts/download-frank-large-kingjones.sh [DEST_DIR] [--verify-only]
+set -euo pipefail
+
+REPO="kingjones777/Qwen3.8-27B-ROCmFP4-STRIX-MTP-GGUF"
+BASE="https://huggingface.co/${REPO}/resolve/main"
+
+DEST=""
+VERIFY_ONLY=0
+for arg in "$@"; do
+    case "$arg" in
+        --verify-only) VERIFY_ONLY=1 ;;
+        *) DEST="$arg" ;;
+    esac
+done
+DEST="${DEST:-/home/dank/models/kingjones-Qwen3.8-27B-ROCmFP4-STRIX-MTP}"
+
+# name bytes sha256
+FILES=(
+  "Qwen3.8-27B-Q8_0_ROCMFPX_AGENT.gguf 28214425952 f3ef2bdbf56e244fff14b72114dc2aa300b84a4cb4eaf54f2e5e4da1cfcae10b"
+  "mtp-Qwen3.8-27B-Q4_0.gguf 1680271648 051a1764cff8c4f3ee6ae8b00593a0364c7539c67fa50ffc58f3f96509fca38e"
+  "mmproj-Qwen3.8-27B-BF16.gguf 931145888 de2a49866988ea272c43dc2a43ee2662c25725a717ca5b9059ea420a97f53fe8"
+)
+
+mkdir -p "$DEST"
+status=0
+for entry in "${FILES[@]}"; do
+  read -r name size sha <<<"$entry"
+  f="$DEST/$name"
+  have=0
+  if [[ -f "$f" ]] && [[ "$(stat -c%s "$f")" == "$size" ]]; then
+    if sha256sum -c --quiet <(printf '%s  %s\n' "$sha" "$f"); then
+      have=1
+    fi
+  fi
+  if (( have )); then
+    echo "OK        $name"
+    continue
+  fi
+  if (( VERIFY_ONLY )); then
+    echo "MISSING   $name"
+    status=1
+    continue
+  fi
+  echo "FETCHING  $name"
+  tmp="$f.part"
+  curl -fsSL --fail-with-body -o "$tmp" "$BASE/$name"
+  mv "$tmp" "$f"
+  if [[ "$(stat -c%s "$f")" != "$size" ]]; then
+    echo "SIZE FAIL $name ($(stat -c%s "$f") != $size)"
+    status=1
+    continue
+  fi
+  if ! sha256sum -c --quiet <(printf '%s  %s\n' "$sha" "$f"); then
+    echo "SHA FAIL  $name"
+    status=1
+    continue
+  fi
+  echo "VERIFIED  $name"
+done
+if (( status == 0 )); then
+  echo "DOWNLOAD_DONE $DEST"
+else
+  echo "DOWNLOAD_FAILED $DEST" >&2
+fi
+exit "$status"
@@ -0,0 +1,76 @@
+#!/usr/bin/env bash
+# Download the Q4_K_XL frank-large payload on Dankclaw:
+#   unsloth/Qwen3.8-27B-GGUF  ->  Qwen3.8-27B-UD-Q4_K_XL.gguf
+#
+#   bash scripts/download-frank-large-q4.sh
+#   bash scripts/download-frank-large-q4.sh --verify-only
+#
+# Integrity: the file is checked against its declared byte count and sha256
+# (the LFS oid from the Hub tree API, 2026-10-01). NO AUTH HEADER IS USED:
+# the repo is public and ungated (gated: false), and a token on the curl
+# command line is world-readable via /proc/<pid>/cmdline. If this ever needs
+# a token, put it in a mode-600 file and pass it with `curl -K`.
+#
+# Layout after a successful run (MODEL_DIR):
+#   Qwen3.8-27B-UD-Q4_K_XL.gguf   17559178144  (16.35 GiB)
+#
+# WHY Q4 AND NOT THE Q8 SWIFT PAYLOAD: this is the vanilla (non-abliterated)
+# Qwen3.8-27B at UD-Q4_K_XL, ~13 GiB smaller than the Swift UD-Q8_K_XL. Every
+# GiB of weights saved is a GiB of f16 KV the endpoint can hold instead: the
+# KV costs 64 KiB/token (16 full-attention layers x 4 KV heads x 256 head_dim
+# x 2 (K,V) x 2 B), so 4 sessions x 163840 ctx = 640,000 tokens = 39.06 GiB.
+#
+# The speculative drafter is UNCHANGED and still fetched by its own script
+# (scripts/download-frank-large.sh, z-lab's Hub repo). That name must not
+# appear here at all — the frank-large seam greps THIS file for it to prove
+# the drafter was not folded into the payload fetch.
+#
+# NOTE ON MTP: this payload has no baked-in MTP head (the Hub repo ships one
+# separately as MTP/mtp-Qwen3.8-27B-Q4_0.gguf). frank-large does not need it —
+# spec decode here is the block-diffusion drafter, not MTP.
+set -euo pipefail
+
+MODEL_DIR="/home/dank/models/Qwen3.8-27B-UD-Q4_K_XL"
+REL="Qwen3.8-27B-UD-Q4_K_XL.gguf"
+SIZE=17559178144
+SHA=3f227079003add2511437e5b1e94812e363385225bf6a9b47b0054a72bc8b01e
+URL="https://huggingface.co/unsloth/Qwen3.8-27B-GGUF/resolve/main/${REL}"
+
+mode="download"
+[[ "${1:-}" == "--verify-only" ]] && mode="verify"
+
+if [[ "$mode" == "download" ]]; then
+    mkdir -p "$MODEL_DIR"
+    if [[ -s "$MODEL_DIR/$REL" ]]; then
+        echo "already present: $MODEL_DIR/$REL"
+    else
+        echo "fetching $REL (17559178144 bytes) — this is ~16.4 GiB"
+        # -f so an HTTP error is a failure, not a 153-byte "artifact".
+        # -C - so an interrupted run resumes instead of restarting.
+        curl -fL -C - --retry 5 --retry-delay 3 -o "$MODEL_DIR/$REL" "$URL"
+    fi
+fi
+
+echo "verifying $MODEL_DIR against declared size + sha256"
+python3 - "$MODEL_DIR" "$REL" "$SIZE" "$SHA" <<'PY'
+import hashlib, os, sys
+model_dir, rel, size, sha = sys.argv[1], sys.argv[2], int(sys.argv[3]), sys.argv[4]
+dest = os.path.join(model_dir, rel)
+if not os.path.isfile(dest):
+    print(f"  MISSING {rel}")
+    sys.exit(1)
+actual = os.path.getsize(dest)
+if actual != size:
+    print(f"  SIZE MISMATCH {rel}: {actual} != {size}")
+    sys.exit(1)
+h = hashlib.sha256()
+with open(dest, "rb") as f:
+    for chunk in iter(lambda: f.read(1 << 24), b""):
+        h.update(chunk)
+if h.hexdigest() != sha:
+    print(f"  SHA256 MISMATCH {rel}: {h.hexdigest()}")
+    sys.exit(1)
+print(f"  OK {rel} ({actual} bytes, sha256 matches the Hub LFS oid)")
+PY
+
+echo "Q4_K_XL payload complete: $MODEL_DIR"
@@ -0,0 +1,66 @@
+#!/usr/bin/env bash
+# Download the Swift-1.5 frank-large candidate on Dankclaw:
+#   ajgazin/Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-GGUF
+#     Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-UD-Q8_K_XL.gguf
+#
+#   bash scripts/download-frank-large-swift.sh
+#   bash scripts/download-frank-large-swift.sh --verify-only
+#
+# Integrity: the file is checked against its declared byte count and sha256
+# (the LFS oid from the Hub, 2026-09-28). NO AUTH HEADER IS USED: the repo is
+# public and ungated, and a token on the curl command line is world-readable
+# via /proc/<pid>/cmdline. If this ever needs a token, put it in a mode-600
+# file and pass it with `curl -K`.
+#
+# Layout after a successful run (MODEL_DIR):
+#   Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-UD-Q8_K_XL.gguf  31457990272
+#
+# This is the CANDIDATE payload, not the deployed one. frank-large still
+# serves scripts/download-frank-large.sh's output; do not repoint
+# frank-large.env at MODEL_DIR until the gufo load test passes.
+set -euo pipefail
+
+MODEL_DIR="/home/dank/models/Swift-1.5-Qwen3.8-27B-Uncensored-MTP-UD-Q8_K_XL"
+REL="Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-UD-Q8_K_XL.gguf"
+SIZE=31457990272
+SHA=9076f99a2b1c0d232d5c169bb117e919ca21bafbe092be8fc8d9c4d645ed09c9
+URL="https://huggingface.co/ajgazin/Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-GGUF/resolve/main/${REL}"
+
+mode="download"
+[[ "${1:-}" == "--verify-only" ]] && mode="verify"
+
+if [[ "$mode" == "download" ]]; then
+    mkdir -p "$MODEL_DIR"
+    if [[ -s "$MODEL_DIR/$REL" ]]; then
+        echo "already present: $MODEL_DIR/$REL"
+    else
+        echo "fetching $REL (31457990272 bytes) — this is ~29 GiB"
+        # -f so an HTTP error is a failure, not a 153-byte "artifact".
+        # -C - so an interrupted run resumes instead of restarting.
+        curl -fL -C - --retry 5 --retry-delay 3 -o "$MODEL_DIR/$REL" "$URL"
+    fi
+fi
+
+echo "verifying $MODEL_DIR against declared size + sha256"
+python3 - "$MODEL_DIR" "$REL" "$SIZE" "$SHA" <<'PY'
+import hashlib, os, sys
+model_dir, rel, size, sha = sys.argv[1], sys.argv[2], int(sys.argv[3]), sys.argv[4]
+dest = os.path.join(model_dir, rel)
+if not os.path.isfile(dest):
+    print(f"  MISSING {rel}")
+    sys.exit(1)
+actual = os.path.getsize(dest)
+if actual != size:
+    print(f"  SIZE MISMATCH {rel}: {actual} != {size}")
+    sys.exit(1)
+h = hashlib.sha256()
+with open(dest, "rb") as f:
+    for chunk in iter(lambda: f.read(1 << 24), b""):
+        h.update(chunk)
+if h.hexdigest() != sha:
+    print(f"  SHA256 MISMATCH {rel}: {h.hexdigest()}")
+    sys.exit(1)
+print(f"  OK {rel} ({actual} bytes, sha256 matches the Hub LFS oid)")
+PY
+
+echo "swift candidate payload complete: $MODEL_DIR"
@@ -0,0 +1,113 @@
+#!/usr/bin/env bash
+# download-frank-primary-swift15.sh — payload fetch/verify for the planned
+# frank-primary swap to the Swift 1.5 finetune: ukisai/Swift1.5-Qwen3.8-Flash-Next
+# (BF16 source, 149 files, 360,037,355,038 bytes = 335.3 GiB: 131 safetensors
+# shards + weight-map index + tokenizer + vision preprocessing configs + chat
+# template + licenses). Key set verified identical to the official
+# Qwen/Qwen3.8-Flash-Next base (0 added / 0 missing), so the qwen4exp recipes
+# apply verbatim; the checkpoint ships BF16 with NO quantization_config.
+# Repo is UNGATED — no token needed (never put one on the command line).
+#
+#   bash scripts/download-frank-primary-swift15.sh --fetch         resume/complete
+#   bash scripts/download-frank-primary-swift15.sh                 verify only
+#
+# Fetch uses the vendored scripts/hfget.sh (StillDeadcode's Apache-2.0
+# listing/resume downloader, curl+jq only): per-file size checks against
+# the Hub listing, `-C -` resume, pickle-format duplicates skipped.
+# Verify (default) is the AGENTS.md law in three parts: every listed file
+# present with the listed size, the shard count matches the weight-map
+# index, and every shard's sha256 equals the Hub's LFS oid. Verify needs
+# only the public API.
+set -euo pipefail
+
+REPO="ukisai/Swift1.5-Qwen3.8-Flash-Next"
+DEST="/home/dank/models/ukisai/Swift1.5-Qwen3.8-Flash-Next"
+EXPECTED_SHARDS=131
+
+mode="verify"
+[[ "${1:-}" == "--fetch" ]] && mode="fetch"
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+
+if [[ "$mode" == "fetch" ]]; then
+    # HFGET_JOBS=4 is hfget's default (a few streams saturate the link).
+    bash "$SCRIPT_DIR/hfget.sh" "$REPO" "$DEST" main
+fi
+
+echo "verifying local payload: $DEST"
+fail=0
+
+INDEX="$DEST/model.safetensors.index.json"
+if [[ ! -f "$INDEX" ]]; then
+    echo "  BAD  weight-map index missing: $INDEX" >&2
+    exit 1
+fi
+
+python3 - "$REPO" "$DEST" <<'PY' || fail=1
+import hashlib, json, os, sys, urllib.request
+
+repo, dest = sys.argv[1], sys.argv[2]
+
+def listing():
+    """The tree API, following the Link cursor exactly like hfget.sh."""
+    out, api, pages = [], (
+        f"https://huggingface.co/api/models/{repo}/tree/main"
+        "?recursive=true&expand=true"), 0
+    while api:
+        with urllib.request.urlopen(api) as r:
+            out += json.load(r)
+            api = None
+            link = r.headers.get("Link", "")
+            for part in link.split(","):
+                if 'rel="next"' in part:
+                    api = part[part.find("<") + 1:part.find(">")]
+        pages += 1
+        if pages > 200:
+            raise SystemExit("listing did not terminate")
+    return out
+
+files = [e for e in listing() if e.get("type") == "file"]
+sizes = {e["path"]: e.get("size", 0) for e in files}
+lfs = {e["path"]: e["lfs"]["oid"] for e in files if e.get("lfs")}
+
+bad = 0
+for path, want in sorted(sizes.items()):
+    p = os.path.join(dest, path)
+    if not os.path.isfile(p):
+        print(f"  BAD  {path}: missing")
+        bad += 1
+    elif os.path.getsize(p) != want:
+        print(f"  BAD  {path}: {os.path.getsize(p)} bytes, listing says {want}")
+        bad += 1
+print(f"  {'OK' if bad == 0 else 'FAIL'}: {len(sizes) - bad}/{len(sizes)} files present at listed size")
+if bad:
+    raise SystemExit(1)
+
+# Shard set against the weight-map index.
+wm = json.load(open(os.path.join(dest, "model.safetensors.index.json")))["weight_map"]
+shards = sorted(set(wm.values()))
+print(f"  index maps {len(wm)} tensors across {len(shards)} shards")
+if len(shards) != 131:
+    print(f"  BAD  shard count {len(shards)}, want 131")
+    raise SystemExit(1)
+
+# Content: every LFS-tracked file hashed against the Hub oid. The safetensors
+# shards dominate the bytes; tokenizer/config files ride the same check when
+# the Hub tracks them in LFS (they are plain blobs here, already size-checked).
+todo = [p for p in shards if p in lfs]
+for i, path in enumerate(todo):
+    h = hashlib.sha256()
+    with open(os.path.join(dest, path), "rb") as f:
+        for chunk in iter(lambda: f.read(1 << 24), b""):
+            h.update(chunk)
+    if h.hexdigest() != lfs[path]:
+        print(f"  BAD  {path}: sha256 mismatch (want {lfs[path]})")
+        bad += 1
+    if (i + 1) % 16 == 0:
+        print(f"  ...hashed {i + 1}/{len(todo)}")
+print(f"  {'OK' if bad == 0 else 'FAIL'}: {len(todo) - bad}/{len(todo)} shards sha256-match the Hub")
+if bad:
+    raise SystemExit(1)
+PY
+
+[[ "$fail" -eq 0 ]] || exit 1
+echo "payload verified: 131 shards + index + tokenizer + configs, sizes and sha256 checked"
@@ -1,92 +1,111 @@
 #!/usr/bin/env bash
-# Fetch the frank-primary payload: the Qwen3.8-Flash-Next Q8_0 target (six
-# split parts), the shared Q8_0 MTP drafter head and the BF16 vision
-# projector.
+# download-frank-primary.sh — payload fetch/verify for frank-primary:
+# the OFFICIAL Qwen/Qwen3.8-Flash-Next-FP8 checkpoint (131 safetensors
+# shards + weight-map index + tokenizer + vision preprocessing configs,
+# ~172.8 GB). 2026-10-05: replaces the orcarouter uncensored payload of the
+# FreeToken era (that script lived here; its repo was gated and needed
+# HF_TOKEN — this one is UNGATED and needs no token at all).
 #
-#   bash scripts/download-frank-primary.sh
-#   bash scripts/download-frank-primary.sh --verify-only
+#   bash scripts/download-frank-primary.sh --fetch         resume/complete
+#   bash scripts/download-frank-primary.sh                 verify only
 #
-# The repo (unsloth/Qwen3.8-Flash-Next-GGUF) is PUBLIC and anonymous: no HF
-# token is needed, and none is accepted on the command line (a -H auth
-# header is world-readable in /proc/<pid>/cmdline -- the 2026-09-16 leak).
-#
-# WHY THESE FILES:
-#   * Target: Q8_0/ -- unsloth's Q8_0 of Qwen3.8-Flash-Next (125B total /
-#     6B active MoE + the 51B n-gram embedding table). Q_8 is the
-#     operator's requested quant (2026-09-26 swap off the lucebox DS4.1
-#     engine). The six parts ARE the payload: part 1's header advertises
-#     file_count=6, so they are never concatenated (concatenation trips
-#     "invalid split file name").
-#   * Drafter: MTP/mtp-Qwen3.8-Flash-Next-shared-Q8_0.gguf -- the shared
-#     MTP head (1 layer). "shared" means it borrows the target's embedding
-#     tensors instead of carrying its own copy: 2.6 GiB instead of 3.9,
-#     and unsloth's own MTP guide names it as the recommended head. It is
-#     loaded via -md (this build never autoloads drafters or projectors).
-#   * Vision: mmproj-BF16.gguf -- the BF16 projector, RDNA4-native per the
-#     frank-small precedent. Loaded via --mmproj explicitly.
-#
-# The script is resumable (curl -C -) and checks every artifact's exact byte
-# count AND sha256 against the Hub's declared values, so a truncated or
-# mis-fetched file fails here instead of load-crashing the server. Sizes and
-# hashes were captured from the resolve endpoint's x-linked-etag/x-linked-size
-# on 2026-09-26.
-#
-# Total: 191,919,144,448 bytes (178.74 GiB), of which 175.30 GiB is the
-# target itself. Destination keeps the Hub layout so the serve script can
-# name paths exactly as they appear upstream.
+# Fetch uses the vendored scripts/hfget.sh (StillDeadcode's Apache-2.0
+# listing/resume downloader, curl+jq only): per-file size checks against
+# the Hub listing, `-C -` resume, pickle-format duplicates skipped.
+# Verify (default) is the AGENTS.md law in three parts: every listed file
+# present with the listed size, the shard count matches the weight-map
+# index, and every shard's sha256 equals the Hub's LFS oid. Verify needs
+# only the public API.
 set -euo pipefail

-REPO="unsloth/Qwen3.8-Flash-Next-GGUF"
-DEST="/home/dank/models/Qwen3.8-Flash-Next-GGUF"
+REPO="Qwen/Qwen3.8-Flash-Next-FP8"
+DEST="/home/dank/models/Qwen/Qwen3.8-Flash-Next-FP8"
+EXPECTED_SHARDS=131

-# path|bytes|sha256
-MANIFEST=(
-  "Q8_0/Qwen3.8-Flash-Next-Q8_0-00001-of-00006.gguf|10946624|2dabcbb53ca537a7947bc7d20414fd464eeaf4d66d43021b5b2556cc87544ad2"
-  "Q8_0/Qwen3.8-Flash-Next-Q8_0-00002-of-00006.gguf|682434912|494ca4ed3dbf97bc28da88af3890b8877b9032f909812d00c0526a9ca5e91d2e"
-  "Q8_0/Qwen3.8-Flash-Next-Q8_0-00003-of-00006.gguf|54400261312|34efd79a80a1ce540a517a5d56171924b66ce1c38b04c904f17ad6d8ef17cf20"
-  "Q8_0/Qwen3.8-Flash-Next-Q8_0-00004-of-00006.gguf|49446841216|bfa634025fabbd2658bf7694bc80b90e571699c768723f844c934c7ef06c691a"
-  "Q8_0/Qwen3.8-Flash-Next-Q8_0-00005-of-00006.gguf|49668930400|232a8f14cc0fa4262e7efe8593774b136fe40909e39c7a020342ddaa27259a97"
-  "Q8_0/Qwen3.8-Flash-Next-Q8_0-00006-of-00006.gguf|34015618784|538a93bca918064983409a41187ad4c68640f9aced6f29564da8f551bf86d7a5"
-  "MTP/mtp-Qwen3.8-Flash-Next-shared-Q8_0.gguf|2786568256|5ff54097406a905cf3a724c709124ceb0e3e10235ee862298969e91c96fa96e6"
-  "mmproj-BF16.gguf|907542944|2e788f8c511d8093c7b43cb87b2fd7e14228340318057f8fb20c86df2efe2355"
-)
+mode="verify"
+[[ "${1:-}" == "--fetch" ]] && mode="fetch"
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"

-mode="download"
-[[ "${1:-}" == "--verify-only" ]] && mode="verify"
-
-if [[ "$mode" == "download" ]]; then
-    for entry in "${MANIFEST[@]}"; do
-        path="${entry%%|*}"
-        mkdir -p "$DEST/$(dirname "$path")"
-        echo "fetching $path"
-        # -f: a 401/403 must FAIL the fetch, not write the error body as
-        # the artifact (the 2026-09-16 gated-repo incident). -C -: resume
-        # partial files.
-        curl -fL -C - -o "$DEST/$path" --retry 10 --retry-delay 5 \
-            --retry-max-time 21600 \
-            "https://huggingface.co/$REPO/resolve/main/$path"
-    done
+if [[ "$mode" == "fetch" ]]; then
+    # HFGET_JOBS=4 is hfget's default (a few streams saturate the link).
+    bash "$SCRIPT_DIR/hfget.sh" "$REPO" "$DEST" main
 fi

-echo "verifying sizes and sha256"
-ok=1
-for entry in "${MANIFEST[@]}"; do
-    path="${entry%%|*}"; rest="${entry#*|}"
-    size="${rest%%|*}"; sha256="${rest#*|}"
-    file="$DEST/$path"
-    act="$(stat -c%s "$file" 2>/dev/null || echo 0)"
-    if [[ "$act" -ne "$size" ]]; then
-        echo "  BAD-SIZE  $file ($act bytes, want $size)" >&2
-        ok=0
-        continue
-    fi
-    act_sha="$(sha256sum "$file" | cut -d' ' -f1)"
-    if [[ "$act_sha" != "$sha256" ]]; then
-        echo "  BAD-SHA   $file ($act_sha)" >&2
-        ok=0
-        continue
-    fi
-    echo "  OK   $path ($act bytes)"
-done
-[[ "$ok" -eq 1 ]] || exit 1
-echo "all artifacts present, sized and hashed correctly"
+echo "verifying local payload: $DEST"
+fail=0
+
+INDEX="$DEST/model.safetensors.index.json"
+if [[ ! -f "$INDEX" ]]; then
+    echo "  BAD  weight-map index missing: $INDEX" >&2
+    exit 1
+fi
+
+python3 - "$REPO" "$DEST" <<'PY' || fail=1
+import hashlib, json, os, sys, urllib.request
+
+repo, dest = sys.argv[1], sys.argv[2]
+
+def listing():
+    """The tree API, following the Link cursor exactly like hfget.sh."""
+    out, api, pages = [], (
+        f"https://huggingface.co/api/models/{repo}/tree/main"
+        "?recursive=true&expand=true"), 0
+    while api:
+        with urllib.request.urlopen(api) as r:
+            out += json.load(r)
+            api = None
+            link = r.headers.get("Link", "")
+            for part in link.split(","):
+                if 'rel="next"' in part:
+                    api = part[part.find("<") + 1:part.find(">")]
+        pages += 1
+        if pages > 200:
+            raise SystemExit("listing did not terminate")
+    return out
+
+files = [e for e in listing() if e.get("type") == "file"]
+sizes = {e["path"]: e.get("size", 0) for e in files}
+lfs = {e["path"]: e["lfs"]["oid"] for e in files if e.get("lfs")}
+
+bad = 0
+for path, want in sorted(sizes.items()):
+    p = os.path.join(dest, path)
+    if not os.path.isfile(p):
+        print(f"  BAD  {path}: missing")
+        bad += 1
+    elif os.path.getsize(p) != want:
+        print(f"  BAD  {path}: {os.path.getsize(p)} bytes, listing says {want}")
+        bad += 1
+print(f"  {'OK' if bad == 0 else 'FAIL'}: {len(sizes) - bad}/{len(sizes)} files present at listed size")
+if bad:
+    raise SystemExit(1)
+
+# Shard set against the weight-map index.
+wm = json.load(open(os.path.join(dest, "model.safetensors.index.json")))["weight_map"]
+shards = sorted(set(wm.values()))
+print(f"  index maps {len(wm)} tensors across {len(shards)} shards")
+if len(shards) != 131:
+    print(f"  BAD  shard count {len(shards)}, want 131")
+    raise SystemExit(1)
+
+# Content: every LFS-tracked file hashed against the Hub oid. The safetensors
+# shards dominate the bytes; tokenizer/config files ride the same check when
+# the Hub tracks them in LFS (they are plain blobs here, already size-checked).
+todo = [p for p in shards if p in lfs]
+for i, path in enumerate(todo):
+    h = hashlib.sha256()
+    with open(os.path.join(dest, path), "rb") as f:
+        for chunk in iter(lambda: f.read(1 << 24), b""):
+            h.update(chunk)
+    if h.hexdigest() != lfs[path]:
+        print(f"  BAD  {path}: sha256 mismatch (want {lfs[path]})")
+        bad += 1
+    if (i + 1) % 16 == 0:
+        print(f"  ...hashed {i + 1}/{len(todo)}")
+print(f"  {'OK' if bad == 0 else 'FAIL'}: {len(todo) - bad}/{len(todo)} shards sha256-match the Hub")
+if bad:
+    raise SystemExit(1)
+PY
+
+[[ "$fail" -eq 0 ]] || exit 1
+echo "payload verified: 131 shards + index + tokenizer + configs, sizes and sha256 checked"
@@ -0,0 +1,90 @@
+#!/usr/bin/env bash
+# Download the frank-secondary payload for llama.cpp on the RTX 3090:
+# HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive at **Q6_K** plus the
+# PUBLISHER's OWN vision projector (the BF16 mmproj — the model is natively
+# multimodal, so this file is the endpoint's eyes). Public repo — no auth
+# header, and never a token on the command line (it is world-readable in
+# /proc/<pid>/cmdline).
+#
+# Fresh downloads, no resume (`curl -C -` once produced a 213 MB oversized
+# file on a 31 GiB payload); -f/--fail-with-body so an HTTP error is not a
+# success, then byte count and sha256. The Hub exposes no LFS oid for this
+# repo (Xet storage), so the sha256 values below were computed locally after
+# the first verified fetch — byte counts match the Hub's declared sizes.
+# A sha of "-" means "first fetch: size-verified, sha printed for pinning".
+# Idempotent: complete files are skipped.
+#
+# 2026-10-07 (Frank): the payload moved to Qwen3.5-9B-Uncensored Q6_K at
+# 2 x 200,704 (qwen35 hybrid: 32 layers, 8 full-attention + 24 Gated
+# DeltaNet, no MTP tensors in this file). Rollback payloads stay on disk:
+# /home/dank/models/Gemma4-26B-A4B/ (Q4_K_M, the 2026-10-07 era being
+# replaced), Swift15-UncIQ3XXS/, MiMo-Q6K/, MiMo-Q5KM/, Ornith-Q8/.
+#
+# Usage:
+#   scripts/download-frank-secondary.sh [DEST_DIR] [--verify-only]
+set -euo pipefail
+
+DEST=""
+VERIFY_ONLY=0
+for arg in "$@"; do
+    case "$arg" in
+        --verify-only) VERIFY_ONLY=1 ;;
+        *) DEST="$arg" ;;
+    esac
+done
+DEST="${DEST:-/home/dank/models/Qwen35-9B-HauhauCS-Q6K}"
+
+# repo | hub-name | dest-name | bytes | sha256 (computed locally; Xet repo)
+FILES=(
+  "HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive|Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf|Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf|7359259008|c0ba7beb68fd3fe47891bd549486d38dcf62d00817296ea314ad37017f5a4986"
+  "HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive|mmproj-Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf|mmproj-Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf|921704448|05f662501f8bd45607b079723a3e238a4e888fd085a10a53f4057a0e250f6934"
+)
+
+status=0
+for entry in "${FILES[@]}"; do
+  IFS='|' read -r repo hubname destname size sha <<<"$entry"
+  url="https://huggingface.co/${repo}/resolve/main/${hubname}"
+  f="$DEST/$destname"
+  have=0
+  if [[ -f "$f" ]] && [[ "$(stat -c%s "$f")" == "$size" ]]; then
+    if [[ "$sha" == "-" ]]; then
+      have=1
+    elif sha256sum -c --quiet <(printf '%s  %s\n' "$sha" "$f"); then
+      have=1
+    fi
+  fi
+  if (( have )); then
+    echo "OK        $destname"
+    continue
+  fi
+  if (( VERIFY_ONLY )); then
+    echo "MISSING   $destname"
+    status=1
+    continue
+  fi
+  echo "FETCHING  $destname (from $repo)"
+  tmp="$f.part"
+  curl -fsSL --fail-with-body -o "$tmp" "$url"
+  mv "$tmp" "$f"
+  if [[ "$(stat -c%s "$f")" != "$size" ]]; then
+    echo "SIZE FAIL $destname ($(stat -c%s "$f") != $size)"
+    status=1
+    continue
+  fi
+  if [[ "$sha" == "-" ]]; then
+    echo "VERIFIED  $destname (size only) sha256=$(sha256sum "$f" | cut -d' ' -f1)"
+    continue
+  fi
+  if ! sha256sum -c --quiet <(printf '%s  %s\n' "$sha" "$f"); then
+    echo "SHA FAIL  $destname"
+    status=1
+    continue
+  fi
+  echo "VERIFIED  $destname"
+done
+if (( status == 0 )); then
+  echo "DOWNLOAD_DONE $DEST"
+else
+  echo "DOWNLOAD_FAILED $DEST" >&2
+fi
+exit "$status"
@@ -0,0 +1,56 @@
+#!/usr/bin/env bash
+# fleet-probes-swift15.sh — RUNS ON DANKSERVER. The cutover contract probes.
+set -uo pipefail
+B=http://localhost:7770/v1
+
+echo "== vision (solid red 512px, expect 'Red')"
+python3 - <<'PY'
+import base64, json, urllib.request, struct, zlib
+def png(color):
+    w = h = 512
+    raw = b"".join(b"\x00" + bytes(color) * w for _ in range(h))
+    def chunk(t, d):
+        c = t + d
+        return struct.pack(">I", len(d)) + c + struct.pack(">I", zlib.crc32(c))
+    return (b"\x89PNG\r\n\x1a\n"
+            + chunk(b"IHDR", struct.pack(">IIBBBBB", w, h, 8, 2, 0, 0, 0))
+            + chunk(b"IDAT", zlib.compress(raw)) + chunk(b"IEND", b""))
+b64 = base64.b64encode(png((255, 0, 0))).decode()
+body = json.dumps({"model": "frank-archon", "max_tokens": 256, "temperature": 0,
+    "messages": [{"role": "user", "content": [
+        {"type": "image_url", "image_url": {"url": "data:image/png;base64," + b64}},
+        {"type": "text", "text": "What color is this image? Answer with one word."}]}]}).encode()
+r = urllib.request.Request("http://localhost:7770/v1" + "/chat/completions",
+                           data=body, headers={"Content-Type": "application/json"})
+d = json.load(urllib.request.urlopen(r, timeout=300))
+m = d["choices"][0]["message"]
+ans = (m.get("content") or m.get("reasoning_content") or "")
+print("VISION ANSWER:", ans[:80].replace("\n", " "))
+PY
+
+echo "== tools (expect tool_calls)"
+curl -s -m 120 $B/chat/completions -H 'Content-Type: application/json' -d '{
+ "model":"frank-archon","temperature":0,"max_tokens":128,
+ "messages":[{"role":"user","content":"What is 23 times 47? Use the calculator tool."}],
+ "tools":[{"type":"function","function":{"name":"calculator","description":"evaluate arithmetic",
+ "parameters":{"type":"object","properties":{"expr":{"type":"string"}},"required":["expr"]}}}]}' \
+ | python3 -c 'import json,sys; d=json.load(sys.stdin); m=d["choices"][0]["message"]; print("TOOL_CALLS:", m.get("tool_calls"))'
+
+echo "== reasoning_effort fold (xhigh/medium/low/high all 200 on froggeric v22.5)"
+for lvl in xhigh medium low high; do
+  code=$(curl -s -o /dev/null -w "%{http_code}" -m 120 $B/chat/completions \
+    -H 'Content-Type: application/json' \
+    -d "{\"model\":\"frank-archon\",\"max_tokens\":8,\"reasoning_effort\":\"$lvl\",\"messages\":[{\"role\":\"user\",\"content\":\"hi\"}]}")
+  echo "  reasoning_effort=$lvl -> HTTP $code"
+done
+
+echo "== reasoning_content channel"
+curl -s -m 120 $B/chat/completions -H 'Content-Type: application/json' \
+ -d '{"model":"frank-archon","max_tokens":64,"messages":[{"role":"user","content":"Is 97 prime? Think briefly."}]}' \
+ | python3 -c 'import json,sys; m=json.load(sys.stdin)["choices"][0]["message"]; print("has reasoning_content:", bool(m.get("reasoning_content")), "| content:", (m.get("content") or "")[:60].replace(chr(10)," "))'
+
+echo "== response_format json_object"
+curl -s -m 120 $B/chat/completions -H 'Content-Type: application/json' \
+ -d '{"model":"frank-archon","max_tokens":64,"response_format":{"type":"json_object"},"messages":[{"role":"user","content":"Return JSON {\"ok\": true}"}]}' \
+ | python3 -c 'import json,sys; d=json.load(sys.stdin); print("JSON MODE:", (d["choices"][0]["message"].get("content") or "")[:60])'
+echo "PROBES_DONE"
@@ -1,36 +1,158 @@
-# frank-large — stock llama.cpp (mainline, the unsloth b11030 prebuilt)
-# serving unsloth/Qwen3.8-27B-GGUF:UD-Q8_K_XL on the Strix Halo iGPU
-# (gfx1151).
+# frank-large.env — tunables for the frank-large endpoint on Dankclaw's
+# Strix Halo iGPU (gfx1151), host port 7770.
 #
-# These are the tunables read by scripts/serve-frank-large.sh. The flag
-# list is owned by the serve script; this file only sets fleet values.
+# RUNTIME (2026-10-06, Frank): halogen-flash-server 0.16.2 — the
+# closed-source C++/HIP engine (image ghcr.io/peonist-ai/halogen-flash-server,
+# digest-pinned below) serving the Quat3rnion ABLITERATED Swift1.5 finetune
+# of peonist's Qwen3.8-Flash-Next v2 checkpoint, as a podman container under
+# a root unit, driven by scripts/serve-frank-large.sh. This CUTS OVER the
+# 2026-10-05 halogen 27B-dense shape (censored base, DFlash2, 31.7 t/s):
+# rollback = revert the swap commit's trio; the 27B payload stays on disk at
+# /home/dank/models/halogen-qwen3.8-27b/.
 #
-# DO NOT name a new tunable TEMP, HOST or GPU_MAX_HEAP_SIZE: the HIP
-# runtime reads those bare (the 2026-08-13 TEMP incident). HOST is the one
-# exception because the serve script itself consumes it for --host.
+# WHY THE RUNTIME MOVED WITH THE MODEL: the payload is .hgn — per its own
+# card it "will not load in transformers, vLLM, or llama.cpp" — and the v2
+# .hgn loads ONLY in the flash-server line (the old halogen engine is for
+# the 27B p1w4d file; the v2 quickstart pins flash-server). What the move
+# buys (card + live probe evidence): MTP spec decode (53-57 t/s greedy,
+# 3-10x serial), ~1,640 t/s prefill at 34k, ~72% fewer thinking tokens than
+# the censored 27B (905 mean), the ABLITERATED base (refusals should NOT
+# return), IMAGE INPUT (the v2 vision tower loads beside the checkpoint —
+# red-PNG probe verified on the card; the 27B engine ignored its encoder),
+# tool calls verified, and the native 262,144 context.
+#
+# SHAPE — the knobs that are NOT free, with the arithmetic:
+#   HALOGEN_CTX=262144 is the PER-SLOT window and the per-conversation hard
+#   ceiling — a prompt over it is a 400 naming the limit, never a silent
+#   truncation. RAISED from 200192 on 2026-10-07: the harness clamps
+#   max_tokens to contextWindow − est − 4096, its chars/4 est UNDER-counts
+#   the rendered prompt by ~3 % on code/agent traffic, and compaction only
+#   fires at 85 % — so with window == engine ceiling, every request over
+#   ~146k est (65-85 % of the window) was a guaranteed 400. Measured
+#   2026-10-07: est 152,938, server 157,388, request 43,158 vs room 42,804
+#   — over by 354, margin 4,096 < the 4,450 under-count.
+#   Harness contract (models.yml): contextWindow 217088, maxTokens 45056.
+#   Compaction fires at 85 % = 184,524 est ≈ 190k measured (Frank's 180k
+#   target). Worst-case request: prompt + budget <= 217088 − 4096 + 3 %
+#   est-error ≈ 219k <= 262144 — the 45k gap between harness window and
+#   engine ceiling absorbs the estimate error with ~7x margin (robust to a
+#   10 % under-count). Compaction rides on frank-secondary: input ≈
+#   threshold − keepRecent(20k) ≈ 170k measured, inside its 200,704 slot.
+#   HALOGEN_KV_POOL_POSITIONS=524288 = KV_SLOTS(2) x CTX — the explicit
+#   form of the engine's default, so the seam test can pin the product.
+#   KV costs ~28 KiB/position (FLAGS.md) => 524,288 x 28 KiB = 14.0 GiB.
+#   HALOGEN_KV_SLOTS=2 restores the w4b-era shape on this box: the MTP
+#   drafter is NOT slot-locked on this engine (batching and speculation
+#   coexist — DFlash-era slots>1 law does NOT carry over; the card's own
+#   quickstart ships 2 slots WITH the head), so the second slot is
+#   concurrent capacity, not a speculation tax.
+#   Memory ledger against the box's 121.2 GiB unified (the n-gram table is
+#   mmap'd page cache beside the checkpoint, not a pinned charge — the
+#   card's own quickstart arithmetic does not bill it):
+#     weights ~62 GiB resident + KV 14.0 + arena (HALOGEN_MAX_TOK=8192 =>
+#     ~8 GiB per FLAGS.md arena formula 3.8+8.4*(MT/16384)) + vision ~2
+#     = ~86 GiB engine-side; HALOGEN_HOST_RESERVE_GIB=20 keeps the host
+#     honest; baseline co-tenancy (frank-secondary, ComfyUI, Caddy/observ)
+#     ~10-15. ~15 GiB margin. The boot ledger is the referee — read it
+#     after deploy and re-size if the engine prints a clamp.
+#   HALOGEN_SPEC_ADAPT=0 is MANDATORY (card): the default adaptive policy
+#   turns the MTP head off for whole requests after low acceptance and
+#   HALVES decode as a result. Frank accepted the head always-on trade
+#   (temp 1.0 traffic costs acceptance; the card still ships the recipe).
+#
+# CLIENT CONTRACT deltas vs the 27B shape (harness side lives in
+# ~/.omp/agent/models.yml):
+#   * SERVER-SIDE SAMPLER EXISTS NOW: HALOGEN_TEMPERATURE/TOP_P/TOP_K set
+#     the card's thinking recipe (1.0 / 0.95 / 20) as engine defaults, so
+#     an absent temperature is no longer greedy. models.yml extraBody
+#     carries the same values — consistent, not load-bearing.
+#   * HALOGEN_MAX_TOK=8192 is only the DEFAULT for requests that omit
+#     max_tokens; the harness sends at most its maxTokens 45056. Requests
+#     over HALOGEN_MAX_TOKENS_CAP (65536) are a 400 naming the cap. Cap and
+#     queue timeout are COUPLED (FLAGS.md table): 65536 at ~10 t/s serial
+#     worst case needs > 6550 s; 7200 honors it. Do not move one alone.
+#   * max_tokens INCLUDES thinking; a reasoning reply over a small budget
+#     returns empty content with finish_reason "length".
+#   * Prompt cache is ON by default (PROMPT_CACHE=2): a follow-up turn at
+#     100k context re-prefills ~2 s instead of ~88 s cold. No pin needed —
+#     unlike the 27B engine, auto-sizing fits this box's ledger.
+#   * Thinking lands in reasoning_content (same as the 27B engine); the
+#     v2 chat template rejects reasoning_effort outside xhigh|medium|low,
+#     so the models.yml fold (high->xhigh) still applies.
+#   * Vision: OpenAI image_url content parts only (the fleet's standard
+#     contract). >=256 px probe images or the model answers "video".
+#   * response_format json_object/json_schema unsupported in this line
+#     (no constrained decoding) — unchanged from the 27B engine.
+#   * The engine's token protocol has no auth and binds loopback INSIDE
+#     the container; only the frontend port (8731) is published. Same as
+#     before. Kernel needs CONFIG_HSA_AMD_SVM (CachyOS ships it) and
+#     amdgpu.noretry=0 (check at deploy).

-# The payload (scripts/download-frank-large.sh): the serve script refuses to
-# start without the main GGUF and the DFlash2 drafter.
-MODEL_DIR=/home/dank/models/Qwen3.8-27B-UD-Q8_K_XL
+# Image: digest-pinned (fetch law: tag pulls silently re-point; the digest
+# is what was qualified). 0.16.2 = the version the model card names as its
+# quickstart pin; RepoDigest captured at pull on 2026-10-06.
+FRANK_LARGE_IMAGE=ghcr.io/peonist-ai/halogen-flash-server@sha256:0c61bf84ac22308a53f5d1ca6b86806702d7039e5ebc51cae4c66621b92fe04a
+# Container identity: kept from the 27B era (unit ExecStop names it).
+FRANK_LARGE_CONTAINER=frank-large-halogen
+# Old quadlet-era container identity; the serve script clears stale names.
+FRANK_LARGE_LEGACY_CONTAINERS=frank-large
+# host:container — the frontend listens on 8731 inside (HALOGEN_API_PORT
+# default); the engine port (8730) is never published.
+FRANK_LARGE_PUBLISH=7770:8731

-# The stock llama.cpp runtime (the unsloth b11030 prebuilt).
-RUNTIME_DIR=/home/dank/GitPackages/unsloth-llama-b11030
+FRANK_LARGE_MODEL_DIR=/home/dank/models/halogen-flashnext-v2
+# The checkpoint: Quat3rnion/halogen-swift1.5-qwen3.8-flash-next-v2-abliterated
+# qwen38-flash-next-v2-swift15-abliterated.hgn — compacted r2 of the card's
+# append-only original (byte-identical live tensors, padding dropped:
+# 66,687,678,464 B vs 89,775,868,032 B). LFS sha256 verified at fetch.
+FRANK_LARGE_CHECKPOINT=qwen38-flash-next-v2-swift15-abliterated.hgn
+FRANK_LARGE_CHECKPOINT_BYTES=66687678464
+FRANK_LARGE_CHECKPOINT_SHA256=9c880b8ba48deabfa06172eff1e7572e4fe465e09e97faec6e50c3f6fdcac037
+# The n-gram lookup table: REQUIRED (the engine reads it beside the
+# checkpoint; the card's quickstart names it explicitly). From
+# peonist-ai/halogen-qwen3.8-flash-next @ 5cc17cea.
+FRANK_LARGE_NGRAM_TABLE=qwen38-flash-next-ngram.hgn
+FRANK_LARGE_NGRAM_BYTES=51200246144
+FRANK_LARGE_NGRAM_SHA256=3450acada94e19aabad88bd49b45eb70304820949c2240fc178067b20ae5dffe
+# The vision tower: OPTIONAL on the engine, ENABLED here (image input).
+# From peonist-ai/halogen-qwen3.8-flash-next @ e053f488.
+FRANK_LARGE_VISION_TOWER=qwen38-flash-next-vision.hgn
+FRANK_LARGE_VISION_BYTES=897916416
+FRANK_LARGE_VISION_SHA256=d62e0ae553fe88afd3833733d4a4c669f34d20fd8dfce4b9610525bed2134b10
+# The tokenizer is a FLAT DIRECTORY, $FRANK_LARGE_MODEL_DIR/tokenizer,
+# mounted whole at /tokenizer. The two repos ship the same one; fetched
+# fresh from peonist @ e053f488 (tokenizer.json is LFS, byte-identical to
+# the 27B-era copy; the rest are plain git blobs — size-checked only). The
+# serve gate and the deployer refuse a missing file or ANY symlink: an HF
+# cache snapshot symlinks each file into blobs/, and those links dangle
+# inside the container mount.
+FRANK_LARGE_TOKENIZER_FILES="tokenizer.json chat_template.jinja tokenizer_config.json merges.txt vocab.json generation_config.json"

-# Fleet endpoint: the same port and alias the prior deployments served, so
-# no client, probe or models.yml entry changes address.
-HOST=0.0.0.0
-PORT=7770
-
-# One stream, full 262144 context (the model's native window).
-CONTEXT_SIZE=262144
-PARALLEL_SLOTS=1
-
-# DFlash2 spec decode (a block-diffusion drafter) at depth 4. The drafter
-# has a sliding window of 2048 (small draft KV, ~40 MiB).
-SPEC_DRAFT_N_MAX=4
-
-# Prompt-cache budget: 8 GiB. The model is a 27B hybrid (16 full attention
-# + 48 Gated DeltaNet linear attention); its DeltaNet state is smaller than
-# a primarily-DeltaNet model, so the fleet's 12.8 GiB DeltaNet floor does
-# not apply.
-CACHE_RAM=8192
+# --- engine flags (docs/FLAGS.md of the flash-server repo; anything unset
+# stays at the image default, which is what was qualified) ------------------
+# Served model id — Protoss name (wire rename 2026-10-09); the service, unit,
+# scripts and this file keep the frank-large name. OpenWebUI api_configs
+# model_ids for the :7770 backend MUST name this value.
+HALOGEN_MODEL_ID=frank-dragoon
+HALOGEN_CTX=262144
+HALOGEN_KV_POOL_POSITIONS=524288
+HALOGEN_KV_SLOTS=2
+HALOGEN_HOST_RESERVE_GIB=20
+# Spec decode: MTP head is INSIDE the checkpoint (do NOT set HALOGEN_MTP_HEAD);
+# depth 2 is the documented "best all-round" default. HALOGEN_DRAFTER /
+# HALOGEN_DFLASH_* from the 27B engine DO NOT EXIST here.
+HALOGEN_SPEC_ADAPT=0
+# Coupled pair (FLAGS.md table): the cap bounds how long ONE request holds
+# the GPU, the timeout bounds how long the NEXT client waits. Do not move
+# one alone (see the client-contract note above).
+HALOGEN_MAX_TOK=8192
+HALOGEN_MAX_TOKENS_CAP=65536
+HALOGEN_QUEUE_TIMEOUT=7200
+# Server-side sampler = the card's thinking recipe (the engine now HAS one;
+# requests may still override per-call). Matches models.yml extraBody.
+HALOGEN_TEMPERATURE=1.0
+HALOGEN_TOP_P=0.95
+HALOGEN_TOP_K=20
+# Card's belt-and-braces: the engine pins weights by default
+# (HALOGEN_FLASH_PIN_TRUNK=1; only the retired w4b build honored 0).
+HALOGEN_WEIGHTS_LOCK=1
@@ -1,5 +1,5 @@
 [Unit]
-Description=stock llama.cpp (unsloth b11030, ROCm gfx1151) Qwen3.8-27B UD-Q8_K_XL, DFlash2 spec decode, fp8 KV, 262144 ctx / 1 slot, root systemd unit (dankclaw, frank-large, Strix Halo iGPU)
+Description=halogen-flash-server container (Quat3rnion abliterated Swift1.5 of Qwen3.8-Flash-Next v2, MTP spec decode, 2 slots x 200192, vision ON), root systemd unit (dankclaw, frank-large, Strix Halo iGPU)
 After=network-online.target
 Wants=network-online.target

@@ -13,8 +13,19 @@ Group=dank
 LimitMEMLOCK=infinity
 Environment="FRANK_LARGE_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-large.env"
 ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-large.sh
-Restart=on-failure
+# systemd stop alone cannot stop the container child; stop it explicitly
+# (frank-primary pattern). The engine drains on SIGTERM.
+ExecStop=/usr/bin/podman stop -t 60 frank-large-halogen
+TimeoutStartSec=1200
+TimeoutStopSec=120
+# always, not on-failure: an engine that exits 0 after an internal fault
+# would otherwise leave the endpoint down until someone notices.
+Restart=always
 RestartSec=10
+# The engine pins ~62 GiB of v2 weights and keeps a multi-GiB working set
+# on a box that also hosts frank-secondary, ComfyUI and the Caddy/observability
+# stack; make it a late OOM candidate, not the first.
+OOMScoreAdjust=-500

 [Install]
 WantedBy=multi-user.target
@@ -1,47 +1,168 @@
-# frank-primary.env — R9V radiance-vLLM production overrides (dankserver :7770).
+# frank-primary.env — radiance (StillDeadcode, Apache-2.0) serving the
+# OFFICIAL Qwen/Qwen3.8-Flash-Next-FP8 checkpoint at NATIVE precision
+# (modelopt block-FP8 throughout, no requantisation) on BOTH R9700s (TP=2),
+# dankserver :7770.
 #
-# The full tuned engine shape (tiered-expert placement, CPU offload budgets
-# per rank, MTP4 drafter, TP=2, qwen3_coder tool parser, 131072 model len,
-# 80-slot tiered expert cache, PLE pinned residency 54.4 GB) lives on-host
-# in the R9V setup state — /home/dank/r9v-state/q8xl/setup.json — written by
-# the q8 profile's setup run (ready: true; doctor PASS, artifacts
-# sha256-verified at fetch time). serve-frank-primary.sh layers that state
-# first and THIS FILE second, so the keys below win. Never copy tuned values
-# from the state into this file — the state is the single source of truth
-# for engine shape.
-R9V_HOME=/home/dank/GitPackages/radiance-vllm-qwen4exp
-R9V_STATE_FILE=/home/dank/r9v-state/q8xl/setup.json
-# Fleet identity: LAN bind, the single frank-primary port, the harness's
-# model id, our own container name (the launcher default r9v-qwen38-flash-next
-# is the scratch identity).
-R9V_HOST_BIND=0.0.0.0
-R9V_HOST_PORT=7770
-R9V_SERVED_MODEL_NAME=frank-primary
-R9V_CONTAINER_NAME=frank-primary-r9v
-R9V_EXPECTED_GPU_BDFS=0000:03:00.0,0000:07:00.0
-# PLE registration (54.4 GB mmap -> HIP) can exceed the engine's 600 s
-# VLLM_PLE_OFFLOAD_READY_TIMEOUT default under page-cache churn (measured
-# 740 s on 2026-09-28, right after a bench teardown; a production boot
-# failed on it the same morning). launch.sh 2de0357 forwards this to the
-# engine; 1800 s covers the slowest observed registration with margin.
-R9V_PLE_READY_TIMEOUT=1800
-# The Q8_0 payload quantizes BOTH fused hyper-connection shards (the IQ4_XS
-# package ships inject as F32), so the shard-uniformity check rejects the
-# fused projection at load. This dev-overlay adapter dequantizes a quantized
-# inject shard in-stream (fork commit 363d606): opt-in mount, uncensored
-# payloads pass through unchanged.
-R9V_DEV_QWEN4_EXP_ADAPTER_PY=/home/dank/GitPackages/radiance-vllm-qwen4exp/runtimes/dev-overrides/qwen4_exp.py
-# The runtime overlay's env.always injects R9V_FULL_MUTABLE_CACHE=1 — the
-# qualified 160-slot uncensored IQ4_XS cache geometry — which the q8
-# profile's 80-slot tiered cache fails with a baseline mismatch. This flips
-# that injection off for this payload (launch.sh passes it after the overlay
-# envs; docker last-wins).
-R9V_FULL_MUTABLE_CACHE=0
-# The Qwen-Sharp template (the frank-large fleet law): folds reasoning
-# efforts (high/xhigh/max -> xhigh, minimal/low -> low) and defaults
-# preserve_thinking true. --chat-template wins over the tokenizer dir's
-# metadata/chat_template.jinja; request-level kwargs still win per request.
-# Braces in values get the same single-quote law as parentheses (source
-# parses assignment values).
-R9V_CHAT_TEMPLATE_FILE=/home/dank/serverAppConfigs/scripts/qwen-sharp-v22.4.0.jinja
-R9V_CHAT_TEMPLATE_KWARGS='{"preserve_thinking":true}'
+# 2026-10-05 cutover from FreeToken (PR #587 ROCm, one card, experts in
+# pinned host RAM; git tag frank-primary-freetoken-pr587-20261005 is the
+# pre-cutover state — its unit/env/serve trio and Dockerfile are all in the
+# tag and rebuildable). Before that: tcclaviger vLLM fork (tag
+# frank-primary-vllm-shapeG-20261003).
+#
+# WHY RADIANCE: the engine is C++/HIP with libr4d kernels built for
+# gfx1201, drives `podman run` directly from the digest-pinned
+# stilldeadcode/radiance image (287 MiB; host needs only the amdgpu driver),
+# and its qwen4exp plugin reads the modelopt FP8 encoding NATIVELY
+# (`X.weight_scale_inv` is the scale plane — checkpoint.h). The PLE n-gram
+# table (51B params, 47.7 GiB) is served from pinned host RAM via io_uring
+# reads — Frank's call: "Native FP8. Experts from ram. Pin the PLE to ram."
+# The 4-bit-codebook publisher shape (qwen3.8-next-flash-fp8-iq4r-moe.rad,
+# --host-pool-mib 12288) remains the documented fallback if the native
+# container proves unbootable.
+#
+# PAYLOAD: /home/dank/models/rad/qwen4exp-fp8-native.rad — a rad-convert
+# NO-RECIPE pure copy of the official 131-shard checkpoint (every weight
+# keeps its block-FP8 encoding; ~161 GiB). The convert runs against a
+# staging dir whose config.json drops `quantization_config`: the descriptor
+# string is only the plugin SELECTION key (spec §2.4 — exact match, no
+# fallback), and no shipped plugin claims (qwen4exp, "fp8"); the shipped
+# qwen4exp plugin claims (qwen4exp, "") which is what recipe-built
+# containers carry. Per-weight encodings are data, not the descriptor —
+# removing the key changes nothing about what the weights hold. Built by
+# scripts/build-frank-primary-rad.sh (staging + convert + rad-info).
+#
+# SERVING FACTS (docs/GUIDE.md, docs/DOCKER.md, compose/flashnext.yaml):
+# - The HTTP listener binds AFTER the full load (main.cpp: engine.start()
+#   then engine.serve()) — during load the port refuses connections, so a
+#   bare curl /health gate is honest. /health == /ping: 200 JSON while
+#   serving, 503 only while stopping (core/server/admin.cpp:385).
+# - Reasoning: --reasoning-format defaults to auto, emitting thinking in
+#   `reasoning_content` (config.cpp). Tool calls: the qwen3.8 dialect, from
+#   the chat format. Both need no parser flags.
+# - Sampling: the OpenAI endpoint accepts temperature, top_p, top_k, min_p,
+#   typical_p, presence_penalty, frequency_penalty, repetition_penalty,
+#   repeat_last_n, chat_template_kwargs, reasoning_effort,
+#   enable_thinking, preserve_thinking (core/server/oai.cpp:194-205) —
+#   models.yml's extraBody set is fully inside it. Unknown params are
+#   refused (400), which is why nothing unverified rides the wire.
+# - MTP: the official checkpoint carries the mtp.* head (3,101 tensors,
+#   mtp_num_hidden_layers=1) and the plugin probes draft depth 3 — the
+#   publisher's throughput peak for this model. Stated explicitly with
+#   --num-speculative-tokens 3.
+# - The fused TP all-reduce is declared over max-num-seqs x
+#   (1 + --num-speculative-tokens) rows; 3 x 3 = 9 rows fits either wire.
+# Engine pin: Codeberg tag v1.0.13 (commit 53282fa), Docker Hub tag 1.0.13,
+# index digest below. REJECTED UPGRADE: 1.2.0 (sha256:665775ed1d90de6dbb
+# 25558e07fc60d20328f1346f96f3c6e00845eb763f01fa, tag 1.2.0, commit
+# e95d397) was benched 2026-10-06 on this exact shape (fp8-native rad,
+# vram pair, spec 2, seqs 3, 43.6k greedy probe): decode 29.21 t/s and
+# draft acceptance 0.7123 vs the 1.0.13 control's 30.08 and 0.7549.
+# Acceptance on the greedy harness is deterministic (the control
+# reproduced the recorded 0.755 exactly), so the drop is a real numerics
+# change — the 1.2.0 MoE weight-rotation change (92b8aaf) is the named
+# suspect; decode loss tracks the acceptance ratio (0.943 vs 0.945).
+# The vram-pair translation itself is exact (1.2.0 boot ledger took
+# vram_weights 25.46 GiB / vram_kv 3.46 GiB per card byte-identical to
+# the 1.0.13 ledger at EVC 0.82). Re-test 1.2.0+ when the rotation change
+# is untangled; 1.2.0 also REMOVED --expert-vs-cache-ratio in favour of
+# the --vram-weights-mib / --vram-kv-mib pair (core/config.cpp) — this
+# file already uses the pair, which BOTH pins accept (rollback symmetry).
+FRANK_PRIMARY_IMAGE=stilldeadcode/radiance@sha256:4c3f484564bb2872784e46b0a59cbd71becc9c1e746e301a3596ffae253c322e
+# The .rad container FILE (mounted under /models) and the state dir for the
+# prefix-cache disk tier (mounted rw at /data). The model dir holds ONLY
+# .rad files; the raw HF download and its staging dir live beside it and
+# are never mounted.
+FRANK_PRIMARY_MODEL_DIR=/home/dank/models/rad
+FRANK_PRIMARY_MODEL_FILE=qwen4exp-swift15-w4dn8-i8-hc8m.rad
+FRANK_PRIMARY_STATE_DIR=/home/dank/radiance-state
+# The state dir's tune/ subdirectory holds rad-tune's kernel-selection
+# cache (the engine's selector reads $RADIANCE_HOME/tune/<machine>.tune
+# at boot; $RADIANCE_HOME defaults to /opt/radiance, in the image, so the
+# cache must ride a host mount — serve script mounts it, see the runbook's
+# "Tuning levers").
+# Container identity is the SERVICE name (Frank's call, 2026-10-05): one
+# name across systemctl and podman ps. The runtime changes; the name does
+# not. The legacy list retires every predecessor identity that could hold
+# the GPUs or the port.
+FRANK_PRIMARY_CONTAINER=frank-primary
+FRANK_PRIMARY_LEGACY_CONTAINERS="frank-primary-qwen frank-primary-r9v qwen-fp8 glm-probe"
+# Served model id — Protoss name (wire rename 2026-10-09). The container,
+# unit, scripts and this file keep the frank-primary name above; only the
+# alias on the wire moved. Radiance validates the requested model name, so
+# every client (harness, bench scripts, probes) MUST send this value.
+FRANK_PRIMARY_SERVED_NAME=frank-archon
+FRANK_PRIMARY_PORT=7770
+# Frank's chat-template call: froggeric's fixed Qwen3.8 template (the
+# repo's root chat_template.jinja, vendored here; the checkpoint's own
+# template is baked into the .rad by rad-convert and this overrides it).
+# Radiance derives the reasoning/tool-call reply format from it.
+FRANK_PRIMARY_TEMPLATE=/home/dank/serverAppConfigs/scripts/qwen38-froggeric-v22.5.jinja
+
+# --- engine shape (first-boot conservative; the boot ledger arbitrates) --
+# Tensor parallel: BOTH R9700s. The board swap (2026-09-20, ProArt B850
+# x8/x8 on root ports) made collectives legal on this host; radiance's TP
+# wire is libr4d's own, not RCCL.
+FRANK_PRIMARY_TP=2
+# Lossy WHT 6-bit wire for large all-reduces (publisher's production choice:
+# +5.6-6.3% prefill, ~-1.3% 8-stream decode at TP2). min-kb stays the
+# engine default.
+FRANK_PRIMARY_TP_WIRE=wht6
+# Decode slots. 2 is Frank's first-boot value ("use parallelism = 2 to
+# start"); raise only after a real-traffic look at slot occupancy and the
+# KV pool's headroom line. The recurrent-state cost scales with it (54
+# MiB/copy/card, 2 copies with speculation).
+FRANK_PRIMARY_MAX_SEQS=3
+# Served window. Native is 262,144; 200,000 is the publisher's production
+# value (compose) and what models.yml's contextWindow must quote — a longer
+# prompt is refused by the engine, never truncated.
+FRANK_PRIMARY_MAX_MODEL_LEN=200000
+FRANK_PRIMARY_PLACEMENT=expert_tiered
+# Pinned host pool for the expert rows that do not fit VRAM. Native FP8
+# experts are 112.8 GiB total (56.4 GiB per rank slice) vs the 4-bit
+# publisher shape's ~29 GiB — this pool is the cost of native precision.
+# The boot ledger prints the pool's coverage ("the pool backs N% of the
+# worst case ... M full-length sessions"); resize from that line, not from
+# arithmetic.
+FRANK_PRIMARY_HOST_POOL_MIB=40960
+# VRAM left unclaimed per card (publisher default 96 MiB).
+FRANK_PRIMARY_GPU_HEADROOM_MIB=96
+# VRAM split of claimed memory per card, MiB (0 = derive from the card).
+# Engine 1.2.0 REMOVED --expert-vs-cache-ratio; these two knobs replace
+# it. The values transcribe the live 1.0.13 boot ledger at ratio 0.82:
+# vram_weights 25.46 GiB, vram_kv 3.46 GiB per card -> 26071 / 3543.
+# Bracket arms scale the KV term linearly in (1-r) from the 0.82 anchor
+# with weights fixed: ratio 0.90 -> KV 1968, ratio 0.95 -> KV 984. The
+# boot ledger arbitrates; re-derive after any payload change.
+FRANK_PRIMARY_VRAM_WEIGHTS_MIB=26071
+FRANK_PRIMARY_VRAM_KV_MIB=3543
+# KV cache in FP8 (7.32 KiB/token at this model's 12 full-attention layers,
+# 2 KV heads, 256 head_dim, K+V).
+FRANK_PRIMARY_KV_DTYPE=fp8
+# Spec decode: the checkpoint's own MTP head at the publisher's depth-3
+# operating point (probe() returns 3 when mtp_num_hidden_layers > 0; the
+# flag states it so the ledger records the intent).
+FRANK_PRIMARY_SPEC_TOKENS=2
+FRANK_PRIMARY_MAX_BATCHED_TOKENS=2048
+# Prefix cache tiers (publisher pattern; disk tier sized for 2 slots).
+FRANK_PRIMARY_PREFIX_HOST_MIB=4096
+FRANK_PRIMARY_PREFIX_DISK_MIB=65536
+# Frank's pin law: the PLE n-gram table (47.7 GiB) serves from pinned host
+# RAM the cards read. `ram` REFUSES the start if the memlock limit is too
+# small — the unit's LimitMEMLOCK=infinity is the other half of this law.
+FRANK_PRIMARY_NGRAM_PLACEMENT=ram
+# TTM preflight: the pinned ledger (2 x 40 GiB pools + 47.7 GiB PLE + 4 GiB
+# prefix host) is ~132 GiB. ttm's pages_limit/pages_max cap the GPU-mappable
+# pinned pages; the current cap (32,252,917 pages = ~123 GiB) is BELOW the
+# plan, so the serve script refuses to start until both are raised. This is
+# the floor it enforces (in MiB), with ~8 GiB of margin.
+FRANK_PRIMARY_TTM_MIN_MIB=140000
+# Escape hatch for boot-ladder experiments. Unset -> no extra argv. Keep
+# multi-flag values as one string; the serve script expands it unquoted on
+# purpose.
+FRANK_PRIMARY_EXTRA_ARGS=
+# The .rad's minimum size in MiB (deployer gate; a truncated convert is a
+# guaranteed long-timeout boot instead of a fast failure). The converted
+# container measured 177,109 MiB (1,857,127,997,440 B = 173.0 GiB; the
+# plan-only estimate 172.76 GiB covers the data planes but not the metadata
+# tail) - floor sits just under the payload.
+FRANK_PRIMARY_RAD_MIN_MIB=110000
@@ -1,44 +1,64 @@
-# frank-primary.service — R9V radiance-vLLM endpoint (unsloth
-# Qwen3.8-Flash-Next Q8_0, MTP4, TP=2, tiered experts, 6-shard payload) on
-# the 2x R9700 pair, dankserver :7770. 2026-09-27 cutover from the
-# uncensored IQ4_XS payload (its state dir stays on disk as rollback).
+# frank-primary.service — radiance (StillDeadcode, Apache-2.0) endpoint
+# (OFFICIAL Qwen/Qwen3.8-Flash-Next-FP8 at NATIVE block-FP8 precision, the
+# rad-convert container qwen4exp-fp8-native.rad) on BOTH R9700s (TP=2,
+# wht6 wire), dankserver :7770. 2026-10-05 cutover from FreeToken (git tag
+# frank-primary-freetoken-pr587-20261005 is the pre-cutover state; the
+# retired unit/env/serve trio and Dockerfile are in that tag).
 #
-# Replaces the llama.cpp frank-primary unit (same port, same served alias;
-# harness models.yml unchanged in id, retuned for the 131072 window). The
-# serve script drives the R9V fork's own launcher through the docker->podman
-# shim and then waits on the container, so a crashed engine is a nonzero
-# ExecStart and Restart=on-failure is real.
-#
-# WHY A ROOT UNIT (not a rootless quadlet): the tiered-expert shape pins tens
-# of GiB of host RAM (the UVA expert host copy plus the 16 GiB PLE pinned
-# reserve). Pinned pages are charged against RLIMIT_MEMLOCK; dank's login
-# session on this host carries 8 MiB and a user quadlet is capped by the user
-# manager's own hard limit — raising that means restarting user@1000.service
-# and bouncing every user container on the host. A root unit grants
-# LimitMEMLOCK=infinity to the dank process via PID1, and the image stays in
-# dank's rootless podman storage (the shim drives podman as dank).
+# Same port, same served alias, same container identity as the unit name;
+# the harness models.yml id is unchanged. The serve script drives
+# `podman run` directly: the digest-pinned stilldeadcode/radiance image
+# (287 MiB, kernels prebuilt for gfx1201) has the engine as its
+# entrypoint. The image lives in dank's ROOTLESS podman storage.
+# WHY A ROOT UNIT (not a rootless quadlet): radiance pins ~132 GiB of HOST
+# RAM (2 x 40 GiB expert pools + the 47.7 GiB PLE ngram table + the prefix
+# host tier). Pinned pages are charged against RLIMIT_MEMLOCK; dank's login
+# session on this host carries 8 MiB and a user quadlet is capped by the
+# user manager's own hard limit — raising that means restarting
+# user@1000.service and bouncing every user container on the host. A root
+# unit grants LimitMEMLOCK=infinity to the dank process via PID1; the
+# engine still runs out of dank's rootless podman storage.
 [Unit]
-Description=frank-primary — R9V radiance-vLLM Qwen3.8-Flash-Next Q8_0 on 2x R9700
+Description=frank-primary — radiance Qwen3.8-Flash-Next-FP8 (native) on 2x R9700 TP=2
 After=network-online.target
 Wants=network-online.target
+# Never let the start-rate limiter give up after a crash loop (a failed LLM
+# endpoint that systemd refuses to retry is worse than a retrying one).
+StartLimitIntervalSec=0

 [Service]
 User=dank
 Group=dank
-# The tiered-expert offloader pins host RAM; an RLIMIT_MEMLOCK smaller than
-# the pinned set fails the load mid-start. PID1 grants infinity here —
-# parity with the fleet's other LLM units.
+# The engine pins ~132 GiB of host RAM (expert pools + PLE table); an
+# RLIMIT_MEMLOCK smaller than the pinned set fails the load mid-start.
+# PID1 grants infinity here — parity with the fleet's other LLM units.
 LimitMEMLOCK=infinity
 Environment="FRANK_PRIMARY_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-primary.env"
 ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-primary.sh
 # systemd stop: wait alone cannot stop the container child; stop it
-# explicitly. vLLM 0.26 drains gracefully on SIGTERM.
-ExecStop=/usr/bin/podman stop -t 120 frank-primary-r9v
-# Boot cost: the launcher's preflight doctor (~1 min) after a warm page
-# cache; cold (post-reboot) payload page-in of ~175 GiB dominates.
-TimeoutStartSec=1800
-Restart=on-failure
+# explicitly. No graceful drain contract is claimed (the OpenAI front end
+# holds no queue to drain — in-flight decodes are lost, which a stop
+# during a bench window accepts; radiance takes SIGTERM on the engine
+# process and podman reaps the container).
+ExecStop=/usr/bin/podman stop -t 120 frank-primary
+# Boot cost: .rad load (weights + PLE upload) + expert host-pool pin. The
+# publisher's compose healthcheck allows a 15-minute start_period; the
+# vLLM-era budget (1800 s) carried forward.
+# Restart=always, NOT on-failure (the 2026-10-01 vLLM lesson carries over:
+# a clean API-server exit after a worker fault reads as success to
+# systemd). `always` restarts on any container death; an explicit
+# `systemctl stop` still wins, so bench windows and deploys are unaffected.
+Restart=always
 RestartSec=10
+# ExecStop allows the engine 120 s to drain (`podman stop -t 120`); without
+# an explicit TimeoutStopSec systemd's 90 s default cuts the stop short,
+# kills it, and records 'Failed with result timeout' (measured 2026-10-01
+# 13:27:17). Must exceed the podman grace with margin.
+TimeoutStopSec=180
+# The engine pins tens of GiB of host RAM (expert rows + PLE table); it is
+# the last process on this host that should be chosen by the kernel OOM
+# killer.
+OOMScoreAdjust=-500

 [Install]
 WantedBy=multi-user.target
@@ -0,0 +1,62 @@
+# frank-secondary — llama.cpp (master, CUDA sm_86) serving
+# HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive at Q6_K on the RTX 3090,
+# :7771.
+#
+# 2026-10-07 (Frank): swap from Gemma4-26B-A4B QAT Q4_K_M (one 200,704 slot)
+# to Qwen3.5-9B Q6_K at TWO 200,704-token conversations, EXACT (f16) KV,
+# MTP disabled (SPEC_TYPE=none), log verbosity 4.
+#
+# Architecture — read from the GGUF's own header (HTTP range read, not the
+# model card): arch qwen35, 32 layers, dense 9B, full_attention_interval 4
+# ⇒ 8 full-attention layers (3,7,11,...,31) + 24 Gated DeltaNet linear layers,
+# 16 attention heads / 4 KV heads × 256 dim, ssm conv_kernel 4 / state_size
+# 128 / group_count 16 / time_step_rank 32 / inner_size 4096, native 262,144,
+# vocab 248,320, file_type 18 (Q6_K). Tensor-type histogram: Q6_K×250 +
+# F32×177 — standard types only, so the stock master build loads it (no
+# custom-quant lock-in like the ROCmFPX era). NO nextn/mtp tensors exist, so
+# in-file MTP is impossible here; SPEC_TYPE=none is forced by the payload.
+#
+# KV rate law: 8 full layers × 4 KV heads × 256 dim = 8,192 elements per
+# token per cache. f16 K + f16 V = 32,768 B/token = 32 KiB/token, so the
+# 401,408-token pool is 12.25 GiB. The 24 DeltaNet layers cost a fixed
+# recurrent state per SLOT (not per token) — that is why two 200k slots fit
+# where the 26B MoE fit only one.
+#
+# Feasibility comes from the predecessor's MEASURED boots, not a formula:
+# MiMo-V2.6-Distill-Qwen-9B (identical qwen35 geometry, 7,793,710,624 B) at
+# 2×200,704 f16 K + f16 V measured 21,276 used / 2,849 free at ubatch 1024
+# and 21,846 / 2,279 at ubatch 2048. This file is 415 MiB lighter in weights,
+# its BF16 mmproj is 3 MiB heavier ⇒ projected ~21,430 used / ~2,700 free.
+# The verbosity-4 boot ledger is the referee.
+#
+# Ubatch 2048 is the measured CUDA optimum (measured on the MiMo predecessor
+# at this exact arch + shape: +4.6 % prefill at 8.9k depth, decode flat, cost
+# 616 MiB). 1024 is the fallback rung if the boot lands under the 2 GiB floor.
+LLAMA_BIN=/home/dank/GitPackages/llama-master/build-cuda/bin/llama-server
+MODEL_FILE=/home/dank/models/Qwen35-9B-HauhauCS-Q6K/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf
+MMPROJ_FILE=/home/dank/models/Qwen35-9B-HauhauCS-Q6K/mmproj-Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf
+# Served model id — the harness/family name (Protoss rename completed to the
+# wire 2026-10-09: harness ids + homepage cards 2026-10-08, /v1/models aliases
+# this day). The SERVICE, unit, scripts and this env file keep the
+# frank-secondary name; only the alias on the wire changed. Consumers that
+# key on the served id: OpenWebUI (model row, access_grant, api_configs
+# model_ids) and the harness models.yml.
+ALIAS=frank-zealot
+BIND_ADDR=0.0.0.0
+LISTEN_PORT=7771
+# CTX_SIZE is the POOL llama.cpp divides across slots: 401,408 / 2 = 200,704
+# per conversation. MUST stay divisible by PARALLEL (the seam enforces it) and
+# the harness contextWindow quotes the PER-SLOT number — a longer prompt is
+# answered with a 400, never truncated.
+CTX_SIZE=401408
+PARALLEL=2
+BATCH_SIZE=4096
+UBATCH_SIZE=2048
+CACHE_TYPE_K=f16
+CACHE_TYPE_V=f16
+SPEC_TYPE=none
+NGL=99
+# Log verbosity threshold (llama.cpp -lv). 4 = debug: KV layout, buffer sizes
+# and graph capture land in the journal, which is what the VRAM-fit forensics
+# read. Levels above 4 flood the journal.
+VERBOSITY=4
@@ -0,0 +1,19 @@
+[Unit]
+Description=llama.cpp Qwen3.5-9B-Uncensored-HauhauCS-Aggressive Q6_K GGUF (qwen35 hybrid, 2x200704 slots, f16 K+V, MTP off, mmproj vision) on the RTX 3090 (dankclaw, frank-secondary)
+After=network-online.target
+Wants=network-online.target
+
+[Service]
+Type=simple
+User=dank
+Group=dank
+# CUDA pins its staging buffers, so the process needs the memlock budget even
+# though the weights themselves are copied into VRAM.
+LimitMEMLOCK=infinity
+Environment="FRANK_SECONDARY_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-secondary.env"
+ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-secondary.sh
+Restart=on-failure
+RestartSec=10
+
+[Install]
+WantedBy=multi-user.target
@@ -1,118 +0,0 @@
-# Tunables for frank-small (HauhauCS/Gemma4-12B-QAT-Uncensored-HauhauCS-
-# Balanced, Q4_K_M, plus the BF16 vision projector and the separate MTP
-# sidecar) on mainline llama.cpp, Dankclaw's RTX 3090, since 2026-09-17.
-#
-# Runtime: llama.cpp master 37b53fd, CUDA build for sm_86:
-#   cmake -B build-cuda -DCMAKE_BUILD_TYPE=Release -DGGML_NATIVE=ON \
-#     -DGGML_CUDA=ON -DCMAKE_CUDA_ARCHITECTURES=86 -DGGML_CUDA_FA_ALL_QUANTS=ON
-#   cmake --build build-cuda --target llama-server -j
-# GGML_CUDA_FA_ALL_QUANTS is ON: this service runs q8_0 KV with flash
-# attention, and without the flag quantized-KV prefill collapses ~12x on
-# CUDA (see the CUDA lesson in AGENTS.md).
-#
-# Model: HauhauCS/Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced at Q4_K_M
-# (6.87 GiB). Architecture (GGUF arch gemma4): 48 layers, MHA with 16 kv
-# heads x 512 head_dim, rope freq_base 1e6, final logit softcapping 30,
-# per-layer token embeddings (PLE) inside the file, and a sliding-window
-# attention pattern (attention.sliding_window = 1024) -- most layers cache
-# only a 1024-position window, which is why the KV pool is a fraction of
-# the full-ctx x all-layers number.
-#
-# MTP: the Multi-Token Prediction head ships as a SEPARATE file
-# (mtp-gemma-4-12B-it.gguf, arch gemma4-assistant, 4 nextn layers, 0.24
-# GiB). Unlike the Qwen3.8 -mtp build (head inside the main file), this one
-# is passed via --model-draft with --spec-type draft-mtp, so the draft
-# context loads the assistant model. The same --spec-type value chains the
-# draftless ngram-mod matcher, which attaches unconditionally; two
-# context-backed drafters cannot share one process, so draft-mtp,ngram-mod
-# is the only legal shape that carries both.
-#
-# SIZING (RTX 3090, 24576 MiB): CTX_SIZE = PARALLEL x 262144 -- four
-# FULL-window slots, measured to fit: the 4-slot boot idles at 22,346
-# MiB and each extra full-context slot costs 3,450 MiB (measured 1-slot
-# 11,996 -> 4-slot 22,346). A fifth slot projects to ~25.8 GiB, past the
-# card, and the KV pool allocates upfront -- so 4 is the max. Explicit
-# CTX_SIZE bypasses --fit on purpose: --fit maximises the TOTAL pool,
-# which would shrink each slot below the full 262144 window once
-# parallel > 1.
-#
-# Vision + audio: --mmproj loads the BF16 projector (11 tensors, 52M
-# params; it carries an audio encoder too). The fleet's image path lives
-# here, which is why halogen no longer sets HALOGEN_VISION_TOWER. Audio
-# WORKS: input_audio content parts transcribe verbatim (verified
-# 2026-09-17 with a 16k mono WAV).
-#
-# Sampling: greedy by default (the fleet contract); a client that sends a
-# temperature gets its own, and the harness applies per-model overrides
-# from models.yml.
-#
-# WARNING: do not name any variable TEMP, HOST, or GPU_MAX_HEAP_SIZE (HIP
-# reads those bare vars on the ROCm hosts -- see the 2026-08-13 incident in
-# AGENTS.md). This box is CUDA, but the rule keeps env files portable.
-
-# llama.cpp runtime binary: mainline master 37b53fd, CUDA sm_86,
-# FA_ALL_QUANTS=ON.
-LLAMA_BIN=/home/dank/GitPackages/llama.cpp-mainline/build-cuda/bin/llama-server
-
-# Model package. The MTP sidecar file is required for speculative decoding.
-MODEL_DIR=/home/dank/models/Gemma4-12B-QAT
-MODEL_FILE=Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced-Q4_K_M.gguf
-MMPROJ_PATH=/home/dank/models/Gemma4-12B-QAT/mmproj-Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced-BF16.gguf
-DRAFT_FILE=mtp-gemma-4-12B-it.gguf
-
-# Fleet identity and network. 7771 is this service's own endpoint on
-# Dankclaw; 7770 stays frank-large's. The alias is the id at /v1/models and
-# what clients ask for -- the harness entry in models.yml names it.
-ALIAS=frank-small
-BIND_ADDR=0.0.0.0
-LISTEN_PORT=7771
-
-# Four FULL 262144-token contexts, one per slot (CTX_SIZE is the total
-# pool; --parallel divides it). See the SIZING note above for the fit
-# arithmetic; a fifth slot does not fit.
-CTX_SIZE=1048576
-PARALLEL=4
-CACHE_TYPE_K=q8_0
-CACHE_TYPE_V=q8_0
-# CPU RAM cache cap in MiB (build default 8192). This host is memory-tight
-# (frank-large's 70 GiB GTT plus the rest of the stack), and Gemma4 runs
-# fully on the 3090 (-ngl 999), so the CPU-side cache is not the hot path;
-# cap it at 2048 to give back ~6 GiB of LPDDR. Gemma4 is not a DeltaNet
-# model, so the >12.8 GiB CACHE_RAM floor does not apply.
-CACHE_RAM=2048
-
-# Batch geometry: 8192 logical / 1024 physical. Measured on this card at
-# max length (254k-token prefill / 253k-ctx decode, 4 slots, q8 KV):
-# ubatch 512 -> pp 915 t/s, tg@250k 90-204; ubatch 1024 -> pp 962,
-# tg 257-302. Larger ubatches (2048) OOM the MTP draft context's pp
-# compute buffer (~3.3 GiB against 2.2 GiB headroom) and must not be
-# tried. Idle VRAM is 23,300 MiB at this geometry.
-BATCH_SIZE=8192
-UBATCH_SIZE=1024
-
-# CPU threads: this service runs entirely on the GPU (NGL=999), so threads
-# cover tokenization, sampling and the HTTP layer only. Deliberately modest
-# -- this host's CPU is shared with halogen's engine, which is CPU-hungry.
-NUM_THREADS=8
-THREAD_BATCH=8
-
-# Every layer on the 3090, with flash attention (required for q8 KV).
-NGL=999
-FLASH_ATTN=on
-
-# Speculative decoding: the MTP sidecar (draft context) chained with the
-# draftless ngram-mod matcher. Draft depth and busy-wait level are made
-# explicit here (both were the implicit build defaults: 3 and 50).
-# Measured at 250k ctx: depth 4 + poll 100 DECODED WORSE (230-257 t/s)
-# than depth 3 + poll 50 (257-302 t/s) — the longer verification round
-# costs more attention re-read at long context than the extra accepted
-# token earns. Keep 3/50.
-SPEC_TYPE=draft-mtp,ngram-mod
-SPEC_DRAFT_N_MAX=3
-POLL_LEVEL=50
-
-# Greedy default (fleet contract); reasoning is extracted into
-# reasoning_content with an unlimited budget (the model decides).
-TEMPERATURE=0.0
-REASONING_FORMAT=deepseek
-REASONING_BUDGET=-1
@@ -1,20 +0,0 @@
-[Unit]
-Description=llama.cpp Qwen3.8-27B GSQ-RCO IQ3_S MTP+vision (dankclaw, frank-small)
-After=network-online.target
-Wants=network-online.target
-
-[Service]
-Type=simple
-User=dank
-Group=dank
-# CUDA pins its staging buffers, so the process needs the memlock budget even
-# though the weights themselves are copied into VRAM. Parity with the halogen
-# quadlet's Ulimit=memlock=-1:-1 and the retired ik unit.
-LimitMEMLOCK=infinity
-Environment="FRANK_SMALL_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-small.env"
-ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-small.sh
-Restart=on-failure
-RestartSec=10
-
-[Install]
-WantedBy=multi-user.target
@@ -0,0 +1,107 @@
+#!/bin/sh
+# hfget.sh -- fetch a Hugging Face repo with curl and jq, and nothing else.
+#
+# The engine and its tooling do not depend on Python, so `huggingface-cli` is not assumed. The API
+# gives a file listing as JSON and every file has a stable resolve/ URL, which is all a downloader
+# needs.
+#
+#   scripts/hfget.sh <repo-id> [dest-dir] [revision]
+#
+# Set HF_TOKEN for a gated or private repo. Re-running resumes: a file whose local size already
+# matches the listing is skipped and a short one is continued with `curl -C -`, so an interrupted
+# transfer of a 300 GB checkpoint costs only what it had not finished.
+#
+# WEIGHT DUPLICATES ARE SKIPPED. Many repos carry the same tensors several times over -- safetensors
+# beside the older pickle .bin, an ONNX export, a GGUF conversion -- and on a large checkpoint each
+# copy is hundreds of gigabytes of the same numbers. When the listing holds any .safetensors, every
+# other weight format is left behind.
+#
+# HFGET_JOBS concurrent transfers, default 4. These are long sequential reads: a few streams
+# saturate the link and more only makes the destination seek.
+set -e
+
+# ---- child mode: one file, named by "<size><tab><path>" in $1, everything else inherited -------
+# sh cannot export a function, so parallelism is one re-entry of this script per file under
+# `xargs -P` rather than a worker pool.
+if [ -n "$HFGET_CHILD" ]; then
+    size=${1%%	*}; path=${1#*	}
+    out=$HFGET_DEST/$path
+    if [ -f "$out" ]; then
+        cur=$(wc -c < "$out")
+        if [ "$cur" = "$size" ]; then echo "  = $path"; exit 0; fi
+        echo "  + $path (resuming at $cur of $size)"
+    else
+        echo "  > $path"
+    fi
+    mkdir -p "$(dirname "$out")"
+    if [ -n "$HF_TOKEN" ]; then
+        curl -sSL --fail --retry 5 --retry-delay 5 --retry-all-errors -C - \
+             -H "Authorization: Bearer $HF_TOKEN" \
+             -o "$out" "https://huggingface.co/$HFGET_REPO/resolve/$HFGET_REV/$path"
+    else
+        curl -sSL --fail --retry 5 --retry-delay 5 --retry-all-errors -C - \
+             -o "$out" "https://huggingface.co/$HFGET_REPO/resolve/$HFGET_REV/$path"
+    fi
+    got=$(wc -c < "$out")
+    [ "$got" = "$size" ] || { echo "hfget: $path is $got bytes, listing says $size" >&2; exit 1; }
+    exit 0
+fi
+
+# ---- parent ------------------------------------------------------------------------------------
+repo=$1
+[ -n "$repo" ] || { echo "usage: hfget.sh <repo-id> [dest-dir] [revision]" >&2; exit 2; }
+dest=${2:-$HOME/models/$repo}
+rev=${3:-main}
+jobs=${HFGET_JOBS:-4}
+command -v jq >/dev/null || { echo "hfget: jq is required" >&2; exit 2; }
+
+echo "hfget: listing $repo@$rev"
+# THE LISTING IS PAGINATED AND THE PAGE SIZE IS SMALL. A large checkpoint runs to a hundred-odd
+# shards and the API returns fifty entries with a `Link: ...; rel="next"` header. Taking only the
+# first page is the worst possible failure here: every file it did fetch is the right length, so
+# the size check passes and the converter is handed a checkpoint missing two thirds of its
+# tensors. Follow the cursor until there is no next link.
+api="https://huggingface.co/api/models/$repo/tree/$rev?recursive=true&expand=true"
+listing='[]'
+page=0
+while [ -n "$api" ]; do
+    hdr=$(mktemp "${TMPDIR:-/tmp}/hfhdr.XXXXXX")
+    if [ -n "$HF_TOKEN" ]; then
+        body=$(curl -sSL --fail-with-body -D "$hdr" -H "Authorization: Bearer $HF_TOKEN" "$api")
+    else
+        body=$(curl -sSL --fail-with-body -D "$hdr" "$api")
+    fi
+    [ "$(printf '%s' "$body" | jq -r 'type')" = "array" ] || {
+        rm -f "$hdr"
+        echo "hfget: $(printf '%s' "$body" | jq -r '.error // .message // .')" >&2
+        echo "hfget: a gated or private repo needs HF_TOKEN in the environment" >&2; exit 1; }
+    listing=$(printf '%s\n%s' "$listing" "$body" | jq -s 'add')
+    api=$(tr -d '\r' < "$hdr" | sed -n 's/^[Ll]ink: *<\([^>]*\)>; *rel="next".*/\1/p' | head -1)
+    rm -f "$hdr"
+    page=$((page + 1))
+    [ "$page" -gt 200 ] && { echo "hfget: listing did not terminate after 200 pages" >&2; exit 1; }
+done
+echo "hfget: $page page(s) of listing"
+have_st=$(printf '%s' "$listing" | jq '[.[] | select(.path | endswith(".safetensors"))] | length')
+sel='.[] | select(.type == "file")'
+[ "$have_st" -gt 0 ] && sel="$sel"' | select((.path | test("\\.(bin|pth|msgpack|h5|onnx|onnx_data|gguf)$")) | not)'
+
+list=$(mktemp "${TMPDIR:-/tmp}/hfget.XXXXXX")
+trap 'rm -f "$list"' EXIT INT TERM
+printf '%s' "$listing" | jq -r "$sel"' | "\(.size)\t\(.path)"' > "$list"
+
+n=$(wc -l < "$list")
+[ "$n" -gt 0 ] || { echo "hfget: the listing has no files" >&2; exit 1; }
+need=$(awk -F'\t' '{s += $1} END {printf "%.1f", s / 1073741824}' "$list")
+mkdir -p "$dest"
+free=$(df -BG --output=avail "$dest" | tail -1 | tr -dc '0-9')
+echo "hfget: $n file(s), $need GiB -> $dest"
+[ "$have_st" -gt 0 ] && echo "hfget: safetensors present, pickle weight formats skipped"
+echo "hfget: $free GiB free on the destination filesystem"
+awk -v n="$need" -v f="$free" 'BEGIN { if (n > f) { print "hfget: THE DOWNLOAD DOES NOT FIT"; exit 1 } }'
+
+export HFGET_CHILD=1 HFGET_DEST="$dest" HFGET_REPO="$repo" HFGET_REV="$rev"
+self=$(cd "$(dirname "$0")" && pwd)/$(basename "$0")
+tr '\n' '\0' < "$list" | xargs -0 -P "$jobs" -I{} sh "$self" "{}" \
+    || { echo "hfget: incomplete -- re-run to resume" >&2; exit 1; }
+echo "hfget: complete -- $(du -sh "$dest" | cut -f1) in $dest"
@@ -0,0 +1,91 @@
+#!/usr/bin/env bash
+# kld-gate-swift15.sh — RUNS ON DANKSERVER. Score the quantized candidate
+# against the BF16 reference and apply the pre-approved gate:
+#   mean KL <= 0.03 AND top-1 agreement >= 95%.
+# Same engine (1.0.13) and same boot shape as the reference RECORD
+# (run-swift15-bf16.sh kld): disk-tier, no speculation, deterministic, fp8 KV.
+# --kld-ref reads its tokens from the reference (no --kld-corpus here — the
+# (run-swift15-bf16.sh kld): 1.0.13, tp 2, disk-tier, fp8 KV, no speculation,
+# deterministic, max-model-len 16384, vram-kv 3072, 4 slots. Two deviations
+# are forced by the w4 file: MNBT 2048 (the w4 kernels stream from the file
+# tier ONLY at MNBT<=2048 — at the recording's 32768 the engine demands a
+# widened form: "DID NOT FIT ... stored form is not the container's"), and
+# pool 40960 (the recording's 12 GiB pool predates the w4 tables; at 12288 the
+# gate_up slab cannot be cached). Chunk size is softmax-invariant, so the
+# MNBT delta is float-order noise riding on the KL floor.
+set -uo pipefail
+PIN=sha256:4c3f484564bb2872784e46b0a59cbd71becc9c1e746e301a3596ffae253c322e
+C=swift15gate
+LOG=/home/dank/logs/swift15_kldgate.log
+KLD_REF_DIR=/home/dank/corpora/kld-ref
+KLD_OUT=/home/dank/radiance-state/kld-gate.json
+
+[ -d "$KLD_REF_DIR" ] || { echo "missing reference: $KLD_REF_DIR"; exit 2; }
+: > "$KLD_OUT"
+cp -f /home/dank/serverAppConfigs/scripts/qwen38-froggeric-v22.5.jinja \
+      /home/dank/models/tpl.jinja 2>/dev/null || true
+sudo systemctl stop frank-primary >/dev/null 2>&1 || true
+podman rm -f "$C" >/dev/null 2>&1 || true
+
+podman run --rm --name "$C" \
+    --network host --init \
+    --security-opt seccomp=unconfined \
+    --ulimit memlock=-1:-1 \
+    --device /dev/kfd --device /dev/dri \
+    -v /home/dank/models:/models:ro \
+    -v /home/dank/radiance-state:/data \
+    -v "$KLD_REF_DIR:/data/kld-ref:ro" \
+    "stilldeadcode/radiance@$PIN" \
+    --model /models/rad/qwen4exp-swift15-w4dn8-i8-hc8m.rad \
+    --tp 2 --placement expert_tiered --weights-disk-tier \
+    --host-pool-mib 40960 --deterministic --gpu-headroom-mib 768 \
+    --num-speculative-tokens 0 \
+    --kv-cache-dtype fp8 --max-model-len 16384 \
+    --ngram-placement ram \
+    --override-chat-template /models/tpl.jinja \
+    --kld-ref /data/kld-ref --kld-out /data/kld-gate.json \
+    --vram-kv-mib 3072 \
+    --max-num-seqs 4 --max-num-batched-tokens 2048 \
+    2>&1 | tee "$LOG"
+rc=${PIPESTATUS[0]}
+[ "$rc" -eq 0 ] || { echo "KLD GATE BOOT FAILED rc=$rc; log: $LOG"; exit "$rc"; }
+
+python3 - "$KLD_OUT" "$LOG" <<'PY'
+import json, sys, re
+out, log = sys.argv[1], sys.argv[2]
+def num(pat):
+    m = re.findall(pat, open(log, errors="replace").read(), re.I)
+    return float(m[-1]) if m else None
+kl = top1 = None
+try:
+    d = json.load(open(out))
+    def find(obj, keys):
+        if isinstance(obj, dict):
+            for k, v in obj.items():
+                if any(s in k.lower() for s in keys) and isinstance(v, (int, float)):
+                    return float(v)
+            for v in obj.values():
+                r = find(v, keys)
+                if r is not None: return r
+        return None
+    kl = find(d, ("mean_kl", "mean kl", "kl_mean", "mean"))
+    top1 = find(d, ("top1", "top_1", "top-1", "agreement"))
+    if top1 is not None and top1 <= 1.0:
+        top1 *= 100.0
+except Exception as e:
+    print("report JSON unusable (%s); falling back to log" % e)
+if kl is None:
+    kl = num(r"mean[_ ]kl[^0-9]*([0-9]*\.?[0-9]+(?:e[-+][0-9]+)?)")
+if top1 is None:
+    top1 = num(r"top[-_ ]?1[^0-9]*([0-9]*\.?[0-9]+)")
+if kl is None or top1 is None:
+    print("KLD GATE PARSE FAILED: mean_kl=%s top1=%s — inspect %s / %s" % (kl, top1, out, log))
+    sys.exit(2)
+print("KLD GATE: mean KL = %.4f (max 0.03) | top-1 = %.2f%% (min 95.0)" % (kl, top1))
+ok = (kl <= 0.03) and (top1 >= 95.0)
+print("KLD GATE " + ("PASS" if ok else "FAIL"))
+sys.exit(0 if ok else 1)
+PY
+gate=$?
+echo "kld-gate complete rc=$gate; log: $LOG report: $KLD_OUT"
+exit "$gate"
@@ -0,0 +1,40 @@
+#!/bin/bash
+# kld-then-calib.sh — RUNS ON DANKSERVER. Campaign chain: wait for the KLD
+# record to finish, verify it, then boot the 1.2.0 calibration server and
+# push the 10M-token corpus. One GPU, so the phases serialize; prod is
+# restored by each run script's trap.
+set -u
+KLOG=/home/dank/logs/swift15-kld-driver.log
+CLOG=/home/dank/logs/swift15-calib-driver.log
+S=/home/dank/serverAppConfigs-swift15/scripts
+# Phase 1: KLD record (SKIP_KLD=1 when the record is already complete —
+# kld.json's rows count is the receipt; a mid-run script swap can kill the
+# wrapper with rc=127 after the engine exited clean).
+if [ "${SKIP_KLD:-0}" != 1 ]; then
+    while ! grep -q "exited rc=" "$KLOG" 2>/dev/null; do sleep 60; done
+    RC=$(grep -o "exited rc=[0-9]*" "$KLOG" | tail -1)
+    if [ "$RC" != "exited rc=0" ]; then echo "KLD FAILED ($RC); calib NOT started"; exit 1; fi
+fi
+N=$(find /home/dank/corpora/kld-ref -type f | wc -l)
+SZ=$(du -sm /home/dank/corpora/kld-ref | cut -f1)
+echo "KLD OK files=$N size_mib=$SZ"
+[ "$N" -ge 5 ] && [ "$SZ" -ge 1000 ] || { echo "kld-ref looks thin; calib NOT started"; exit 1; }
+grep -q '"rows": 50235' /home/dank/corpora/kld-ref/kld.json || {
+    echo "kld.json rows != 50235; calib NOT started"; exit 1; }
+
+# Phase 2: calibration serve (1.2.0) + corpus push.
+nohup bash "$S/run-swift15-bf16.sh" calib > "$CLOG" 2>&1 &
+CP=$!
+for _ in $(seq 1 160); do
+    sleep 15
+    curl -sf localhost:7770/health >/dev/null 2>&1 && break
+done
+if ! curl -sf localhost:7770/health >/dev/null 2>&1; then
+    echo "CALIB BOOT FAILED; see /home/dank/logs/swift15_bf16.log"; kill "$CP" 2>/dev/null; exit 1
+fi
+echo "CALIB UP, pushing corpus"
+python3 "$S/calib-push.py" --port 7770 --parallel 16 --container swift15ref --max-rounds 6
+PUSH=$?
+kill "$CP" 2>/dev/null
+sleep 10
+echo "CALIB_CHAIN_DONE push=$PUSH grams=$(find /home/dank/corpora/calib -name 'gram.r*.bin' 2>/dev/null | wc -l)"
@@ -0,0 +1,317 @@
+#!/usr/bin/env python3
+"""Build the two Swift1.5 campaign corpora (calibration + KLD).
+
+calib.jsonl — 10M tokens of agent-shaped RAW text (45% code, 30% prose,
+25% tool-call JSON), one {"prompt": text} per line, pushed to
+/v1/completions with max_tokens=1 during the calibration run (the Hessian
+tap is of the prompt tokens; docs/MOE-W4.md step 2). Code and prose mix
+the repo checkout with HF dataset parquets (Frank's call 2026-10-06:
+local material is only ~1.6M unique tokens; MOE-W4 wants 10M):
+nampdn-ai/tiny-codes (code) and Salesforce/wikitext wikitext-103-raw
+(prose). Tool calls are synthesized from commands harvested from the
+repo's own scripts plus a fleet-ops set, with argument-shaped variants.
+
+kld.jsonl — 1.8M tokens, one {"prompt", "score_from", "source"} per
+line; each prompt is a multi-turn conversation rendered through the
+Froggeric v22.5 template with a >= --kld-min-prompt (8192) token target,
+and the last 256 tokens (the tail of the assistant answer) are the
+scored span: score_from = n - 256. At 8k-token prompts the 1.8M corpus
+is ~220 prompts = ~56k scored positions ~= 25 GB of record, matching
+the published Flash-Next KLD scale (83k positions, MOE-W4.md). The KLD
+reference run and every candidate run consume the SAME file (TOOLS.md
+--kld-record / --kld-ref). The KLD corpus is LOCAL material only, so the
+file-level disjointness rule (fnv1a64(path) % 5 == 0 -> KLD pool) is
+untouched by the HF additions.
+
+Deps: tokenizers, jinja2, pyarrow (venv /home/dank/venvs/radcorpus).
+Usage: make-calib-corpus.py --repo ROOT --tokenizer-json PATH
+    --template PATH --out-dir DIR [--hf-code-parquet F,F]
+    [--hf-prose-parquet F,F] [--calib-tokens 10000000]
+    [--kld-tokens 1800000]
+"""
+import argparse
+import json
+import os
+import random
+import re
+
+from jinja2 import Environment, FileSystemLoader
+from tokenizers import Tokenizer
+
+CODE_EXT = (".sh", ".py", ".jinja", ".recipe", ".env", ".example",
+            ".yaml", ".yml", ".bats", ".service", ".container", ".toml")
+JSONL_EXTS = (".jsonl", ".json")
+DOC_DIR = "serverAppConfigs-docs"
+
+FLEET_CMDS = [
+    "systemctl status frank-primary --no-pager",
+    "journalctl -u frank-primary -n 100 --no-pager",
+    "podman ps --format '{{.Names}} {{.Status}}'",
+    "podman logs --tail 50 frank-primary",
+    "curl -s http://192.168.0.235:7770/health",
+    "curl -s http://192.168.0.235:7770/metrics | grep radiance_",
+    "df -h /home/dank | tail -1",
+    "free -g",
+    "sudo systemctl restart frank-primary",
+    "cd /home/dank/serverAppConfigs && git pull --ff-only",
+    "./scripts/deploy.sh dankserver --service frank-primary",
+    "./tests/run.sh 2>&1 | tail -5",
+    "jq . /home/dank/models/rad/index.json | head -40",
+    "python3 -c \"import json; print(json.load(open('config.json'))['num_hidden_layers'])\"",
+    "ip neigh show 192.168.0.235",
+    "amdgpu_top --device-info 2>/dev/null | head -20",
+    "grep -E 'MemAvailable' /proc/meminfo",
+    "sha256sum model-00001-of-00131.safetensors",
+    "git log --oneline -10",
+    "awk '{s+=$1} END {print s}' shard_sizes.txt",
+]
+TOOL_NAMES = ["bash", "read", "grep", "web_search", "edit", "write"]
+WORKDIRS = ["/home/dank", "/home/dank/serverAppConfigs", "/home/dank/models",
+            "/etc/systemd/system", "/var/log"]
+DESCS = ["check service state", "tail the engine ledger", "list containers",
+          "query health", "read metrics", "check disk", "check memory",
+          "restart the endpoint", "sync the checkout", "run deployer",
+          "run the test seams", "inspect the index", "probe the peer"]
+
+
+def fnv(s: str) -> int:
+    h = 0xcbf29ce484222325
+    for b in s.encode():
+        h = ((h ^ b) * 0x100000001b3) & 0xFFFFFFFFFFFFFFFF
+    return h
+
+
+def harvest_cmds(repo: str, rng: random.Random) -> list[str]:
+    cmds = list(FLEET_CMDS)
+    pat = re.compile(r"^\s*(?:sudo\s+)?([a-z][\w./-]*(?:\s+\S+){1,6})\s*$")
+    for root, dirs, files in os.walk(repo):
+        dirs[:] = [d for d in dirs if not d.startswith(".")]
+        for f in files:
+            if not f.endswith(".sh"):
+                continue
+            try:
+                for line in open(os.path.join(root, f), encoding="utf-8",
+                                 errors="replace"):
+                    m = pat.match(line.rstrip())
+                    if m and len(m.group(1)) > 12:
+                        cmds.append("ssh dank@192.168.0.235 '"
+                                    + m.group(1)[:90] + "'")
+            except OSError:
+                pass
+    rng.shuffle(cmds)
+    return cmds[:4000]
+
+
+def tool_call(rng: random.Random, cmds: list[str]) -> str:
+    """One agent turn: 2-4 tool calls with argument-shaped JSON."""
+    parts = []
+    for _ in range(rng.randint(2, 4)):
+        args: dict = {"command": rng.choice(cmds)}
+        if rng.random() < 0.4:
+            args["cwd"] = rng.choice(WORKDIRS)
+        if rng.random() < 0.3:
+            args["timeout"] = rng.choice([10, 30, 60, 300, 600])
+        if rng.random() < 0.5:
+            args["description"] = rng.choice(DESCS)
+        parts.append('<tool_call>{"name": "%s", "arguments": %s}<|im_end|>'
+                     % (rng.choice(TOOL_NAMES),
+                        json.dumps(args, ensure_ascii=False)))
+    return "\n".join(parts)
+
+
+def load_parquet_texts(path: str, kind: str, rng: random.Random,
+                       cap: int) -> list[str]:
+    import pyarrow.parquet as pq
+    d = pq.read_table(path).to_pydict()
+    n = len(next(iter(d.values())))
+    idx = range(n) if n <= cap else rng.sample(range(n), cap)
+    out = []
+    for i in idx:
+        if kind == "code":
+            if "content" in d:
+                frag = d["content"][i]
+            else:
+                frag = ("// %s\n### Instruction:\n%s\n### Response:\n%s"
+                        % (d.get("file_name", [""])[i], d["prompt"][i],
+                           d["code"][i] or d["response"][i]))
+        else:
+            frag = d["text"][i]
+        if frag and frag.strip():
+            out.append(frag[:8000])
+    rng.shuffle(out)
+    return out[:cap]
+
+
+def main() -> None:
+    ap = argparse.ArgumentParser(description=__doc__)
+    ap.add_argument("--repo", required=True)
+    ap.add_argument("--tokenizer-json", required=True)
+    ap.add_argument("--template", required=True)
+    ap.add_argument("--out-dir", required=True)
+    ap.add_argument("--calib-tokens", type=int, default=10_000_000)
+    ap.add_argument("--kld-tokens", type=int, default=1_800_000)
+    ap.add_argument("--chunk-tokens", type=int, default=8192)
+    ap.add_argument("--score-tail", type=int, default=256)
+    ap.add_argument("--kld-min-prompt", type=int, default=8192)
+    ap.add_argument("--hf-code-parquet", default="")
+    ap.add_argument("--hf-prose-parquet", default="")
+    ap.add_argument("--seed", type=int, default=20261006)
+    a = ap.parse_args()
+
+    rng = random.Random(a.seed)
+    tokenizer = Tokenizer.from_file(a.tokenizer_json)
+    env = Environment(loader=FileSystemLoader(os.path.dirname(a.template)),
+                      trim_blocks=True, lstrip_blocks=True)
+    env.filters["tojson"] = lambda v: json.dumps(v, ensure_ascii=False)
+    env.filters["raise_exception"] = lambda m: (_ for _ in ()).throw(
+        ValueError(m))
+    tname = os.path.basename(a.template)
+
+    code, prose, jsonl = [], [], []
+    for root, dirs, files in os.walk(a.repo):
+        dirs[:] = [d for d in dirs if not d.startswith(".")]
+        for f in sorted(files):
+            p = os.path.relpath(os.path.join(root, f), a.repo)
+            if DOC_DIR in p and f.endswith(".md"):
+                prose.append(p)
+            elif p.startswith(DOC_DIR):
+                pass
+            elif f.endswith(CODE_EXT):
+                code.append(p)
+            elif f.endswith(JSONL_EXTS) and f != "package-lock.json":
+                jsonl.append(p)
+    # file-level split: bucket 0 -> KLD pool, 1..4 -> calibration pool
+    pools: dict[str, tuple[list, list]] = {}
+    for cls, lst in (("code", code), ("prose", prose), ("tools", jsonl)):
+        pools[cls] = ([p for p in lst if fnv(p) % 5 == 0],
+                      [p for p in lst if fnv(p) % 5 != 0])
+
+    def text_of(p: str) -> str:
+        path = os.path.join(a.repo, p)
+        raw = open(path, encoding="utf-8", errors="replace").read()
+        if p.endswith(JSONL_EXTS):
+            lines = [json.loads(l)["content"] for l in raw.splitlines()
+                     if l.strip() and "content" in l]
+            raw = "\n".join(lines)
+        toks = tokenizer.encode(raw, add_special_tokens=False).ids
+        return tokenizer.decode(toks[:2400], skip_special_tokens=True)
+
+    cmds = harvest_cmds(a.repo, rng)
+    # fragment pools per class, corpus-split first
+    frags: dict[str, dict[str, list[str]]] = {}
+    for cls in pools:
+        kld_files, cal_files = pools[cls]
+        fr = {}
+        src = {"kld": kld_files, "cal": cal_files}
+        if cls == "tools":
+            fr["kld"] = [tool_call(rng, cmds) for _ in range(600)]
+            fr["cal"] = [tool_call(rng, cmds) for _ in range(40000)]
+        else:
+            fr["kld"] = [text_of(p) for p in src["kld"]]
+            fr["cal"] = [text_of(p) for p in src["cal"]]
+        frags[cls] = fr
+    # per-class fragment caps: prose rows are short (~66 tok) so need many;
+    # codeparrot files are long (~2.6k tok) so a small cap suffices
+    hfcap = {"code": 40000, "prose": 60000, "tools": 0}
+    for cls, spec in (("code", a.hf_code_parquet),
+                      ("prose", a.hf_prose_parquet)):
+        for path in [p for p in spec.split(",") if p]:
+            frags[cls]["cal"].extend(
+                load_parquet_texts(path, cls, rng, cap=hfcap[cls]))
+    for cls in frags:
+        rng.shuffle(frags[cls]["cal"])
+
+    def toks(s: str) -> int:
+        return len(tokenizer.encode(s, add_special_tokens=False).ids)
+
+    def emit_calib() -> tuple[int, list[dict]]:
+        targets = {"code": .45, "prose": .30, "tools": .25}
+        rows: list[dict] = []
+        for cls, frac in targets.items():
+            want = int(a.calib_tokens * frac)
+            pool = frags[cls]["cal"]
+            if not pool:
+                continue
+            got, i, buf, nbuf = 0, 0, [], 0
+            while got < want:
+                frag = pool[i % len(pool)]
+                i += 1
+                n = toks(frag)
+                if nbuf + n > a.chunk_tokens and buf:
+                    rows.append({"prompt": "\n".join(buf), "cls": cls})
+                    got += nbuf
+                    buf, nbuf = [], 0
+                    if got >= want:
+                        break
+                buf.append(frag)
+                nbuf += n
+                if i > len(pool) * 40:
+                    break  # pool exhausted with repeats; stop
+            if buf and got < want:
+                rows.append({"prompt": "\n".join(buf), "cls": cls})
+                got += nbuf
+            print(f"calib {cls}: {got} tokens, {i} fragments")
+        rng.shuffle(rows)
+        return len(rows), [{k: v for k, v in r.items() if k == "prompt"}
+                           for r in rows]
+
+    def emit_kld() -> tuple[int, list[dict]]:
+        rows, total = [], 0
+        classes = ["code", "prose", "tools"]
+        i = {c: 0 for c in classes}
+        guard = 0
+        while total < a.kld_tokens and guard < 5000:
+            guard += 1
+            msgs, srcs = [], []
+            for t in range(rng.choice([2, 3, 4])):
+                cls = classes[(len(rows) + t) % 3]
+                pool = frags[cls]["kld"]
+                if not pool:
+                    continue
+                frag = pool[i[cls] % len(pool)]
+                i[cls] += 2
+                msgs.append({"role": "user",
+                             "content": "Summarize and explain this "
+                                        f"engineering material:\n{frag}"})
+                msgs.append({"role": "assistant",
+                             "content": frag[:4000]})
+                srcs.append(cls)
+            rendered = env.get_template(tname).render(
+                messages=msgs, add_generation_prompt=False)
+            n = toks(rendered)
+            if n < a.kld_min_prompt:
+                continue
+            rows.append({"prompt": rendered,
+                         "score_from": n - a.score_tail,
+                         "source": "+".join(sorted(set(srcs)))})
+            total += n
+        return len(rows), rows
+
+    os.makedirs(a.out_dir, exist_ok=True)
+    nc, rows = emit_calib()
+    with open(os.path.join(a.out_dir, "calib.jsonl"), "w") as f:
+        for r in rows:
+            f.write(json.dumps(r) + "\n")
+    nk, krows = emit_kld()
+    with open(os.path.join(a.out_dir, "kld.jsonl"), "w") as f:
+        for r in krows:
+            f.write(json.dumps(r) + "\n")
+    scored = sum(len(tokenizer.encode(r["prompt"], add_special_tokens=False).ids)
+                 - r["score_from"] for r in krows)
+    manifest = {
+        "seed": a.seed, "template": tname,
+        "tokenizer": os.path.basename(a.tokenizer_json),
+        "calib_prompts": nc, "kld_prompts": nk,
+        "kld_scored_positions": scored,
+        "kld_score_tail": a.score_tail,
+        "disjoint_file_pools": "local KLD material only; HF code feeds calib",
+        "calib_mix": {"code": .45, "prose": .30, "tools": .25},
+        "hf_code": a.hf_code_parquet, "hf_prose": a.hf_prose_parquet,
+    }
+    with open(os.path.join(a.out_dir, "manifest.json"), "w") as f:
+        json.dump(manifest, f, indent=1)
+    print(json.dumps(manifest, indent=1))
+
+
+if __name__ == "__main__":
+    main()
@@ -0,0 +1,86 @@
+# glm53-compile-01-model-decorator.patch — put the GLM-5.3-Flash trunk under torch.compile.
+#
+# STATUS: WIP — first of three patches in the "compile the GLM trunk" changelist. The
+# set does NOT yet boot the engine (see 03 for the next blocker), so it is NOT part of
+# the deployed frank-primary shape. Nothing in scripts/ mounts these files.
+#
+# WHY THIS IS THE RIGHT LEVER (measured 2026-09-30, not inferred):
+#
+# The fork's own flagship trunk — vllm/models/qwen4_exp/amd/model.py — carries
+# @support_torch_compile. vllm/models/glm5next/common/model.py does not, and the engine
+# says so on every boot:
+#
+#   Cudagraph mode FULL_AND_PIECEWISE requires piecewise capture, but the loaded model
+#   provides neither a compiled submodule nor breakable CUDA graphs.
+#   Overriding to FULL_DECODE_ONLY.
+#
+# A torch-profiler window on the live endpoint (496 decode tokens, rank0, 3 x 160-token
+# generations at the deployed shape) shows what the missing compilation costs. Total
+# device kernel time 46.18 s / 496 tokens = ~93 ms per token, against a measured step
+# time of ~104 ms (9.6 tok/s with the profiler attached):
+#
+#   16.07 s  34.8 %  708,500 launches  vectorized_elementwise_kernel      (22.7 us each)
+#    4.60 s  10.0 %    42,000           r4d_gemm_moe_w4a16_nt_b16_m64     (the MoE GEMM)
+#    3.11 s   6.7 %   174,708           elementwise_kernel_manual_unroll
+#    2.94 s   6.4 %   138,252           wvSplitK_hf_sml_                  (split-K GEMM)
+#    4.09 s   8.9 %    83,160           topk/router (sbtopk gatherTopK + warpMergeSortTopK
+#                                       + bitonicSortKVInPlace)
+#    3.01 s   6.5 %   133,920           r4d_mhc_* (hyper-connection pre/post/finish)
+#    2.78 s   6.0 %   127,916           inductor triton_poi_* / triton_per_* (the only
+#                                       fusions that DO happen)
+#    0.49 s   1.05%    20,664           r4d_moe_lru_gather_kernel         <-- the suspect
+#
+# That last row retired the fleet's working hypothesis. Decode on this shape is NOT
+# expert-gather bound: the gather is 1 % of device time, the same order as the telemetry
+# kernel that was switched on to measure it. 44 % of the budget is pointwise glue —
+# bf16<->fp32 conversions, adds, pows/rsqrts from fp32 RMSNorm, clamp/scale quant
+# passes — spread over ~1,428 launches per token. Inductor fusion is the only lever
+# that touches that mass; the router is second at 9 % but is binary-blocked (the
+# libr4d route kernel exists only as r4d_moe_route_kernel<128|256|512> instantiations
+# and GLM has 288 experts, with no HIP sources shipped to rebuild).
+#
+# TARGET: vllm/models/glm5next/common/model.py   (inside the pinned image)
+#   base    sha256 008eeaa2a07e091465319f86900b5a321d921238723ccbe22e6b9e971e1d2b28
+#   patched sha256 6e9cb81b84a9a88bd41403ca404aa04c3b791899dd77d661c3f25ae686cecd40
+#
+# APPLY: `patch -p1` from the vllm package root, or bind-mount new/.../model.py over
+# site-packages. Then R4D_GLM_COMPILE=1 (default) enables it; =0 makes the decorator a
+# no-op, so the file can stay mounted for an A/B without a second artifact.
+# Requires 02 (trace-safe probes) — without it the worker dies during profile_run on
+# the first probe call inside the traced region.
+--- a/vllm/models/glm5next/common/model.py
+++ b/vllm/models/glm5next/common/model.py
+@@ -1,12 +1,14 @@
+ # SPDX-License-Identifier: Apache-2.0
+ # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+ 
+import os
+ from collections.abc import Iterable
+ from typing import ClassVar, Literal
+ 
+ import torch
+ from torch import nn
+ 
+from vllm.compilation.decorators import support_torch_compile
+ from vllm.config import ParallelConfig, VllmConfig
+ from vllm.distributed import (
+     get_ep_group,
+@@ -623,6 +625,18 @@
+         )
+ 
+ 
+_GLM_COMPILE = os.environ.get("R4D_GLM_COMPILE", "1") == "1"
+
+
+@support_torch_compile(
+    dynamic_arg_dims={
+        "input_ids": 0,
+        "positions": -1,
+        "intermediate_tensors": 0,
+        "inputs_embeds": 0,
+    },
+    enable_if=lambda _cfg: _GLM_COMPILE,
+)
+ class Glm5NextModel(nn.Module):
+     def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
+         super().__init__()
@@ -0,0 +1,119 @@
+# glm53-compile-02-trace-safe-probes.patch — libr4d capability probes must not do I/O
+# inside a torch.compile region.
+#
+# STATUS: WIP — second of three patches in the "compile the GLM trunk" changelist.
+# Inert (but harmless) without 01. Not part of the deployed shape.
+#
+# THE BREAK (measured: with 01 mounted and R4D_GLM_COMPILE=1, the worker dies during
+# profile_run, i.e. the first — cold — forward):
+#
+#   Explanation: Dynamo does not know how to trace the builtin `posix.stat`
+#   ... r4d_mhc_supported -> r4d_lib.r4d_mhc_enabled -> available -> os.path.exists
+#
+# THE NON-OBVIOUS PART: functools.lru_cache does NOT protect these probes. Dynamo
+# re-traces the wrapped body to build its guard even when the cache is warm — it warns
+# about exactly this ("Dynamo detected a call to a `functools.lru_cache`-wrapped
+# function ... Dynamo ignores the cache wrapper and directly traces the wrapped
+# function"). Verified in-image, torch 2.11.0+rocm10.0, torch.compile(backend="eager"):
+#
+#   cold lru_cache call       -> RAISE Unsupported
+#   WARM lru_cache call       -> RAISE Unsupported     <-- warming is not enough
+#   plain module-global read  -> compiles
+#   uncached os.path.exists   -> RAISE Unsupported
+#
+# So each probe must resolve ONCE into a plain value and be read as a global. The set
+# below is every no-argument probe / symbol lookup reachable from a forward pass,
+# grep-verified call sites:
+#   model_executor/layers/fused_moe/experts/r4d_w4a16_moe.py:79  available()
+#   model_executor/layers/fused_moe/experts/r4d_w4a16_moe.py:81  has_w4a16_moe()
+#   model_executor/kernels/mhc/r4d_dsv4.py:16                    r4d_mhc_enabled()
+#   v1/attention/ops/rocm_aiter_mla_sparse.py:694                r4d_indexer_enabled(), mqa_max_heads()
+#   v1/attention/ops/rocm_aiter_mla_sparse.py:1124               r4d_indexer_enabled()
+#   model_executor/layers/fused_moe/experts/r4d_mxfp4_moe.py:683 r4d_act_quant_enabled()
+#   model_executor/layers/fused_moe/experts/r4d_w4a16_moe.py _entry()  moe_w4a16()/moe_w4a16_mt1() per MoE call
+# (lib() is the transitive dependency of all of them.)
+#
+# TARGET: vllm/model_executor/kernels/r4d_lib.py   (inside the pinned image)
+#   base    sha256 b8dfeefb4acc72b67b0579a4ab0653ef5d48c40cc8649187d757c80ce6b9617a
+#   patched sha256 0751852e1ca813ad2bdb1da7bf10c605130e63e04ef9ec57e70b5f675a29c08e
+#
+# APPLY: append the block below to the module. R4D_FREEZE_PROBES=0 restores stock
+# behaviour. Cost when nothing is compiled: ten one-time probes at import (measured:
+# logged once per process, e.g. "libr4d capability probes frozen: 10 warm [...]").
+#
+# OBSERVED EFFECT: with 01+02 the worker gets past this break and reaches the next one
+# (see 03) — dynamo reports "Dynamo bytecode transform time: 1.08 s" for the trunk.
+--- a/vllm/model_executor/kernels/r4d_lib.py
+++ b/vllm/model_executor/kernels/r4d_lib.py
+@@ -361,3 +361,71 @@
+ @functools.lru_cache
+ def moe_w4a16_mt1():
+     return getattr(lib(), "r4d_gemm_moe_w4a16_nt_b16_m64_mt1", None)
+
+
+# FORK-LOCAL (patch: trace-safe capability probes).  torch.compile traces the
+# BODY of a functools.lru_cache call even when the cache is warm, so a capability
+# probe called from a forward pass is a dynamo graph break.  Measured 2026-09-30
+# on the GLM-5.3-Flash trunk under @support_torch_compile:
+#   Dynamo does not know how to trace the builtin `posix.stat`
+#   r4d_mhc_supported -> r4d_mhc_enabled -> available -> os.path.exists
+# Each probe below is wrapped to resolve ONCE into a memo and is warmed at import
+# (outside any tracing region), so a traced call is a dict read.  The probe set is
+# every no-argument capability probe / symbol lookup reachable from a forward
+# pass: the W4A16 + mxfp4 MoE dispatch, the mHC op, the MLA sparse indexer gate
+# and the draft/lm-head guards.
+_PROBE_NAMES = (
+    "available",
+    "lib",
+    "has_w4a16_moe",
+    "moe_w4a16",
+    "moe_w4a16_mt1",
+    "has_mhc_dsv4",
+    "r4d_mhc_enabled",
+    "r4d_indexer_enabled",
+    "mqa_max_heads",
+    "r4d_act_quant_enabled",
+)
+
+
+def _freeze_probe(fn):
+    """Return fn bound to its first result.  Result must be a plain value."""
+
+    memo = []
+
+    def probe(*args, **kwargs):
+        if not memo:
+            memo.append(fn(*args, **kwargs))
+        return memo[0]
+
+    return probe
+
+
+def _freeze_probes() -> list[str]:
+    frozen = []
+    for name in _PROBE_NAMES:
+        fn = globals().get(name)
+        if fn is None:
+            continue
+        # Only the fast branch of a bound probe is traced; an empty memo means the
+        # first call still does I/O, so populate it here as well.
+        globals()[name] = _freeze_probe(fn)
+        frozen.append(name)
+    return frozen
+
+
+from vllm.logger import init_logger as _init_logger
+
+_probe_log = _init_logger(__name__)
+
+if os.environ.get("R4D_FREEZE_PROBES", "1") == "1":
+    _warmed, _failed = [], []
+    for _n in _freeze_probes():
+        try:
+            globals()[_n]()
+            _warmed.append(_n)
+        except Exception:  # noqa: BLE001 -- probe unavailable here; recompute lazily
+            _failed.append(_n)
+    _probe_log.info("libr4d capability probes frozen: %d warm %s%s",
+                    len(_warmed), _warmed,
+                    f" (deferred: {_failed})" if _failed else "")
@@ -0,0 +1,116 @@
+# glm53-compile-03-fullgraph-optout.patch — let torch.compile split the graph instead
+# of failing on a break.
+#
+# STATUS: WIP — third of three patches in the "compile the GLM trunk" changelist.
+# With 01+02+03 the model TRACES, then hits the NEXT blocker (below). The set does not
+# yet boot the engine; nothing in scripts/ mounts it.
+#
+# THE BREAK: with 01+02 mounted the worker dies with
+#
+#   RuntimeError: Graph breaks are not supported with aot compile.
+#   Please use torch.compile(fullgraph=True).
+#
+# because vllm/compilation/wrapper.py calls torch.compile(..., fullgraph=True, ...) and
+# this build has AOT compile on by default (VLLM_USE_AOT_COMPILE). The GLM trunk cannot
+# satisfy fullgraph: its indexer metadata path syncs to the host —
+#   models/glm5next/amd/sparse_indexer.py:263  int(positions[...].max().item()) + 1
+#   models/glm5next/amd/sparse_indexer.py:419  lmax = int(decode_metadata.decode_lens.max().item())
+# — and a .item() inside a captured graph is not expressible.
+#
+# WHAT WAS VERIFIED (in-image, torch 2.11.0+rocm10.0, torch.compile(backend="eager")):
+#
+#   fullgraph=True   suppress_errors=False  -> RAISE Unsupported
+#   fullgraph=True   suppress_errors=True   -> RAISE Unsupported   <-- suppress_errors
+#                                                                     does NOT cover breaks
+#   fullgraph=False  suppress_errors=False  -> ok   (traceable segments compiled by
+#                                                    inductor, the rest runs eagerly;
+#                                                    numerics unchanged)
+#
+# So breaks must be TOLERATED, not suppressed: the traceable mass still fuses. This
+# patch makes the fullgraph requirement opt-out via VLLM_COMPILE_FULLGRAPH=0 (default 1,
+# so every other model keeps stock behaviour), and the run also needs
+# VLLM_USE_AOT_COMPILE=0 because AOT compile refuses breaks outright.
+#
+# TARGET: vllm/compilation/wrapper.py   (inside the pinned image)
+#   base    sha256 969961dca41c78385212e985cfc0c57ef067f4a2d7490c73c658c600a1b95cac
+#   patched sha256 732363bb1a1367772f13c60a655c678e7e2e9e56186677b14238f5e84cac31b3
+#   (the file already imports os; the patch does not add a second import)
+#
+# NEXT BLOCKER — NOT FIXED HERE. With 01+02+03 and
+# R4D_GLM_COMPILE=1 VLLM_COMPILE_FULLGRAPH=0 VLLM_USE_AOT_COMPILE=0 the trunk traces
+# ("Dynamo bytecode transform time: 1.08 s") and then the worker dies during profile_run
+# on the decode forward:
+#
+#   KeyError: 'in_proj_qkvbfg_a'
+#     model.py:748  Glm5NextModel.forward        hidden_states, residual, post, comb = layer(...)
+#     model.py:456  Glm5NextDecoderLayer.forward
+#
+# `in_proj_qkvbfg_a` is the KDA layer's merged column-parallel projection
+# (models/glm5next/common/kda.py:217, called at :407) — and it is also a name in the
+# load_weights shard table (model.py:780-785), i.e. a real submodule attribute name,
+# not an arbitrary string.
+#
+# WHERE IT IS THROWN (established 2026-09-30 by reading the full traceback, since the
+# report line is inside dynamo-rewritten code): torch/_dynamo keeps a name -> module map
+# and looks it up by name — output_graph.py:1259 / :1384 register into `nn_modules`,
+# :3000 does `self.nn_modules[node.target]` (a bare-name KeyError when absent), and
+# :1225 documents stripping "_buffers[..]/_parameters[..]/_modules[..]" from those
+# names. So the compiler is failing to RESOLVE A SUBMODULE BY NAME while tracing the
+# GLM decoder layer. Whether the root cause is the fork's module tree (something
+# dynamo cannot register statically) or dynamo's own registration is NOT yet settled.
+#
+# STATUS OF THAT BLOCKER (updated 2026-09-30, after the diagnostics below):
+#   * TORCHDYNAMO_VERBOSE=1 adds NO internal stack trace -> it is a plain Python
+#     KeyError raised in a callee dynamo INLINED into Glm5NextDecoderLayer.forward
+#     (the reported line 456 is that method's `def` line, which is how inlined frames
+#     surface).
+#   * It is NOT raised from dynamo's four nn_modules lookups: the probe in
+#     /home/dank/dynamo-probe wraps three of them and stayed silent over two runs with
+#     the probe confirmed installed in the API-server and worker processes.
+#   * It is NOT a literal string lookup: the name appears tree-wide only as the KDA
+#     layer's attribute (kda.py:217, used at :407) and in the load_weights shard table
+#     (model.py:780-785). The four `proj_name = prefix.split(".")[-1]` sites in the
+#     quantization utils do compute exactly this bare key, but each is guarded
+#     (`if proj_name not in fused_mapping: return`), so none of them can raise it.
+#   * It reproduces on every run of this configuration (5 of 5).
+# REMAINING INSTRUMENT: name the inlined caller. Either `TORCH_LOGS=+dynamo` on a boot
+# and grep the log for the key (dynamo prints inlined frames with source), or wrap the
+# inlining candidates in that forward — the mHC CustomOps (hc_pre / hc_post /
+# hc_fused_post_pre in layers/mhc.py) and the indexer op — with a KeyError-reporting
+# probe. Until that names the caller this is a dynamo-side name-resolution failure.
+# NOTE the launcher gotcha that wasted a boot earlier: the scratch launcher now
+# preserves ENVARGS (`ENVARGS="${ENVARGS:-}"`), but it previously reset it, silently
+# dropping outer env vars.
+#
+# SECOND BLOCKER, KNOWN AND NOT FATAL IN THIS CONFIG: the indexer's in-forward
+# workspace acquisition (patch 05 makes it compiler-opaque) and the fused-norm
+# launcher cell (patch 04 removes the call) are real breaks, but with
+# VLLM_COMPILE_FULLGRAPH=0 they are tolerated — they only become fatal under
+# fullgraph=True, which this trunk can never satisfy anyway.
+--- a/vllm/compilation/wrapper.py
+++ b/vllm/compilation/wrapper.py
+@@ -19,6 +19,15 @@
+ 
+ logger = init_logger(__name__)
+ 
+
+# FORK-LOCAL (patch: fullgraph opt-out).  torch.compile(fullgraph=True) turns any
+# dynamo graph break into a hard failure; suppress_errors does NOT cover breaks
+# (verified in-image, torch 2.11+rocm10.0).  With VLLM_COMPILE_FULLGRAPH=0 the
+# traceable segments are still compiled by inductor and the untraceable ones run
+# eagerly, which is what a model with device-sync metadata (the GLM-5.3-Flash
+# indexer) needs.  Default 1 keeps stock behaviour for every other model.
+_FULLGRAPH = os.environ.get("VLLM_COMPILE_FULLGRAPH", "1") == "1"
+
+ R = TypeVar("R")
+ P = ParamSpec("P")
+ 
+@@ -146,7 +155,7 @@
+         with aot_context:
+             self._compiled_callable = torch.compile(
+                 compiled_ptr,
+-                fullgraph=True,
+                fullgraph=_FULLGRAPH,
+                 dynamic=False,
+                 backend=backend,
+                 options=options,
@@ -0,0 +1,112 @@
+# glm53-compile-04-fused-qkv-rmsnorm-optout.patch — take GLM's fused-norm JIT kernel
+# out of the traced path.
+#
+# STATUS: WIP — fourth of the "compile the GLM trunk" changelist. Needs 01 (the
+# decorator) to matter; not part of the deployed shape.
+#
+# MEASUREMENT NOTE — read the run history before trusting any claim below, because a
+# launcher bug made four consecutive boots misleading.  The scratch launcher
+# (serve_glm_autoround.sh) was restructured on 2026-09-30 and the
+# `-e VLLM_COMPILE_FULLGRAPH=0` line was DROPPED, so those boots mounted the wrapper
+# patch while `_FULLGRAPH` still defaulted to True.  With fullgraph=True *every* break
+# is an error, which is why the reported failure kept moving as breaks were removed:
+#
+#   fullgraph=False, AOT off  -> breaks tolerated; dies later on the dynamo name-map
+#                                `KeyError: 'in_proj_qkvbfg_a'`
+#   fullgraph=True,  AOT off  -> dies on whichever break comes first
+#                                (cell -> workspace -> compiler-disable)
+#
+# An earlier version of this note blamed `TORCH_LOGS=graph_breaks` for the difference.
+# That was WRONG — the flag only logs; the launcher silently ran fullgraph=True.
+# Launcher fixed; the env var is set again.
+#
+# What it means for THIS patch: under fullgraph=True the fused-norm call was the first
+# break dynamo reported, and after this patch the report moved on to the workspace
+# acquisition — so it removes a real break.  It is not by itself what unblocks a boot:
+# with breaks genuinely tolerated the blocker is the name-map KeyError.
+#
+# IT IS STILL THE RIGHT PATTERN TO REMOVE, either way: the launcher family
+# (@kernel_launcher, 39 call sites) is exactly the shape that produces breaks, and the
+# object this one closes over is bound after use (see below).
+#
+# THE BREAK (measured, TORCH_LOGS=graph_breaks, rank0, 2026-09-30).  With 01+02+03 the
+# trunk traces, and with AOT off + fullgraph=True dynamo reports a FATAL break — fatal
+# even with VLLM_COMPILE_FULLGRAPH=0, because dynamo cannot build a resume function
+# around it:
+#
+#   torch._dynamo.exc.Unsupported: Read uninitialized cell
+#   Explanation: Attempted to read a cell variable that has not been populated yet.
+#   Developer debug context: CellVariable()
+#
+# User stack:
+#   glm5next/common/model.py:748    Glm5NextModel.forward       layer(...)
+#   glm5next/common/model.py:526    Glm5NextDecoderLayer.forward
+#   glm5next/common/attention.py:590
+#   model_executor/layers/mla.py:208
+#     q_proj_input, kv_c_normed = fused_q_kv_rmsnorm(...)
+#   -> torch/_dynamo/polyfills/__init__.py:392 getattr_and_trace
+#
+# So dynamo is tracing the fork's JIT-kernel launcher framework
+# (VllmTritonJitKernel + @kernel_launcher — 39 call sites) and finds a closure name
+# that is not yet bound.  In models/common/ops/fused_qk_rmsnorm.py the kernel object
+# is bound AFTER the function that closes over it:
+#
+#   def fused_q_kv_rmsnorm(...):          # line 194
+#       ...
+#       _FUSED_Q_KV_RMSNORM_KERNEL(...)   # line 211
+#   _FUSED_Q_KV_RMSNORM_KERNEL = FusedQKVRMSNormKernel()    # line 223
+#
+# Two ways out, and this patch takes the cheap one:
+#   (a) WORKAROUND (here): stop calling the fused kernel from the traced region.  The
+#       flag is already a constructor argument (mla.py:80, default False) that glm5next
+#       turns ON at attention.py:583, so it becomes an env knob.
+#   (b) ROOT FIX (not done): make the launcher trace-safe for all 39 sites.  Any other
+#       @kernel_launcher-backed kernel still in the traced path can produce the same
+#       fatal break, so (b) is the durable fix and (a) is what unblocks iterating.
+#
+# COST of R4D_GLM_FUSE_QKV_RMSNORM=0: one extra small RMSNorm launch per MLA layer per
+# token (q_a_layernorm + kv_a_layernorm instead of one fused kernel) — ~2 launches out
+# of ~3,700 per token on this shape, against the 44 % of device time currently spent in
+# unfused pointwise work.  Correct trade for a compile experiment.
+#
+# TARGET: vllm/models/glm5next/common/attention.py   (inside the pinned image)
+#   base    sha256 362bbf0e6c50cdfa446c6551b9b1ddff425e08f88e3d4140fd8db88f8a619e0c
+#   patched sha256 84969993c250e9f8183a33a6e1ddd607272f48b950b560272eb33b7cdde31189
+#
+# APPLY: `patch -p1` from the vllm package root (verified: applies clean, reproduces
+# the patched sha256), or bind-mount new/.../attention.py over site-packages.
+# R4D_GLM_FUSE_QKV_RMSNORM=1 (default) restores the fused kernel.
+--- a/vllm/models/glm5next/common/attention.py
+++ b/vllm/models/glm5next/common/attention.py
+@@ -1,6 +1,7 @@
+ # SPDX-License-Identifier: Apache-2.0
+ # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+ 
+import os
+ import torch
+ import torch.nn.functional as F
+ from torch import nn
+@@ -36,6 +37,14 @@
+ from vllm.utils.deep_gemm import PAGED_MQA_PAGE_SIZES
+ from vllm.v1.kv_cache_interface import KpoolTailSpec, MLAAttentionSpec
+ 
+
+# FORK-LOCAL (patch: keep the traced region trace-safe).  R4D_GLM_FUSE_QKV_RMSNORM=0
+# replaces the fused `fused_q_kv_rmsnorm` JIT-kernel launch (one kernel) with two plain
+# RMSNorms, because dynamo cannot trace the launcher's closure ("Read uninitialized cell",
+# fatal even with fullgraph=False).  The fused kernel object in
+# models/common/ops/fused_qk_rmsnorm.py is bound AFTER the function that uses it.
+_FUSE_QKV_RMSNORM = os.environ.get("R4D_GLM_FUSE_QKV_RMSNORM", "1") == "1"
+
+ logger = init_logger(__name__)
+ 
+ # Shared torch.compile config for the indexer's small-kernel leaves. The MLA
+@@ -580,7 +589,7 @@
+             quant_config,
+             prefix,
+             skip_topk=False,
+-            fuse_qkv_rmsnorm=True,
+            fuse_qkv_rmsnorm=_FUSE_QKV_RMSNORM,
+         )
+ 
+     def forward(
@@ -0,0 +1,96 @@
+# glm53-compile-05-workspace-acquisition-opaque.patch — the indexer's workspace
+# acquisition must not be traced.
+#
+# STATUS: WIP — fifth of the "compile the GLM trunk" changelist. This is a break worth
+# removing, but NOT part of the confirmed blocker and NOT required for the
+# break-tolerant route: `torch.compiler.disable` is itself a graph break, so this patch
+# helps only a hypothetical fullgraph=True route, where the workspace acquisition would
+# be better RESTRUCTURED out of the forward (allocate at init/profile time) than made
+# opaque. Kept because the discovery is real and the wrapper is a no-op when nothing is
+# compiling.
+#
+# THE BREAK — CONFIRMED with AND WITHOUT the logging flag (2026-09-30):
+#
+#   torch._dynamo.exc.Unsupported: Unsupported method call
+#   user stack
+#     glm5next/common/model.py:748      Glm5NextModel.forward
+#     glm5next/common/model.py:526      Glm5NextDecoderLayer.forward
+#     glm5next/common/attention.py:599 / :401
+#     glm5next/amd/sparse_indexer.py:711  forward_native
+#     glm5next/amd/sparse_indexer.py:132  sparse_attn_indexer_kpool
+#     v1/worker/workspace.py:135          get_simultaneous
+#     v1/worker/workspace.py:155          _ensure_workspace_size
+#
+# Line 132 is the PROFILE-RUN branch — the source comment says what it is:
+#
+#     if not isinstance(attn_metadata, dict):
+#         # Reserve workspace for indexer during profiling run
+#
+# so the engine dies exactly where it sizes its memory.  `_ensure_workspace_size`
+# reads ContextVar and ubatch state (`_workspace_lane.get()`,
+# `dbo_current_ubatch_id()`) and may allocate; none of that is traceable.
+#
+# FIX: the documented escape hatch — `torch.compiler.disable` around a thin wrapper,
+# so dynamo stops analysing the call and executes it eagerly from inside the compiled
+# region.  Chosen over decorating the workspace manager's own methods because that
+# would change workspace behaviour for every model, not just this one.  The wrapper is
+# a no-op when nothing is compiling, so it needs no env gate and is safe in the
+# stock (uncompiled) path — which is why this patch can be reasoned about
+# independently of whether the changelist ever ships.
+#
+# CAVEAT, stated plainly: a compiler-disabled region is still a graph break, so this
+# needs patch 03 (VLLM_COMPILE_FULLGRAPH=0) to be tolerable at all, and whether dynamo
+# can build a resume function around it is exactly what the next boot decides — the
+# difference between this failure and 04's `Read uninitialized cell`.
+#
+# TARGET: vllm/models/glm5next/amd/sparse_indexer.py   (inside the pinned image)
+#   base    sha256 f773a99265d3f440c8fad22c8fb5a8b33f926162094cffc3a2ecdaa42763c5b1
+#   patched sha256 c154115afe8253a35c652b7198929ef4c1874957d333fdb3340cacf88e612b78
+#
+# APPLY: `patch -p1` from the vllm package root, or bind-mount over site-packages.
+--- a/vllm/models/glm5next/amd/sparse_indexer.py
+++ b/vllm/models/glm5next/amd/sparse_indexer.py
+@@ -35,6 +35,21 @@
+ from vllm.v1.attention.ops.common import pack_seq_triton, unpack_seq_triton
+ from vllm.v1.worker.workspace import current_workspace_manager
+ 
+@torch.compiler.disable
+def _acquire_workspace(*shapes_and_dtypes):
+    """Acquire shared workspace buffers, untraced.
+
+    Workspace acquisition reads ContextVar/ubatch state and may allocate
+    (v1/worker/workspace.py: ``_ensure_workspace_size`` -> ``_workspace_lane.get()``,
+    ``dbo_current_ubatch_id()``), which dynamo cannot trace -- it raises
+    ``Unsupported: Unsupported method call`` and kills the engine during the profile
+    run.  ``torch.compiler.disable`` keeps the call as an opaque, eagerly-executed
+    region inside the compiled graph.  No-op when not compiling.
+    """
+
+    return current_workspace_manager().get_simultaneous(*shapes_and_dtypes)
+
+
+ logger = init_logger(__name__)
+ 
+ # kpool write helper: form pools from the current token batch and compress them
+@@ -129,7 +144,7 @@
+         values_spec, scales_spec = _gather_workspace_shapes(
+             total_seq_lens, head_dim, fp8_dtype, use_fp4_cache
+         )
+-        current_workspace_manager().get_simultaneous(
+        _acquire_workspace(
+             values_spec,
+             scales_spec,
+             ((RADIX_TOPK_WORKSPACE_SIZE,), torch.uint8),
+@@ -275,11 +290,10 @@
+         # Layout switches between FP8 (head_dim bytes + 4-byte fp32 scale) and
+         # MXFP4 (head_dim/2 bytes packed + head_dim/MXFP4_BLOCK_SIZE ue8m0
+         # scales) based on use_fp4_cache.
+-        workspace_manager = current_workspace_manager()
+         values_spec, scales_spec = _gather_workspace_shapes(
+             total_seq_lens, head_dim, fp8_dtype, use_fp4_cache
+         )
+-        k_quant_full, k_scale_full = workspace_manager.get_simultaneous(
+        k_quant_full, k_scale_full = _acquire_workspace(
+             values_spec,
+             scales_spec,
+         )
@@ -0,0 +1,173 @@
+# glm53-dflash-01-aux-hidden-states.patch — give the GLM trunk the EAGLE3 / DFlash2
+# auxiliary-hidden-state interface.
+#
+# STATUS: WIP, and INDEPENDENT of the compile changelist (01-05). It patches the same
+# file as glm53-compile-01-model-decorator.patch, so if both are ever applied, apply 01
+# first. Not part of the deployed shape.
+#
+# WHY.  `--speculative-config '{"method":"dflash","model":"/path/to/drafter", ...}'` with
+# incoai/GLM-5.3-Flash-DFlash2 is accepted -- the config parses, the drafter loads -- and
+# then the worker dies at init with:
+#
+#     RuntimeError: Model does not support EAGLE3 interface
+#
+# raised by v1/worker/gpu/spec_decode/eagle/eagle3_utils.py:20 through
+# `supports_eagle3(model)` == `isinstance(model, SupportsEagle3)` (a runtime-checkable
+# Protocol).  Nothing about the drafter, the method name or the payload is wrong:
+# `glm5next` implements neither half of the contract.
+#
+# THE CONTRACT (read out of this image, not assumed):
+#   * DEFINITIVE (v5, after four failed boots): the member set is checked against
+#     the INSTANCE the runner calls -- which for GLM-5.3-Flash is
+#     Glm5NextForConditionalGeneration, NOT Glm5NextForCausalLM.  The multimodal
+#     wrapper wraps the text model as self.language_model
+#     (init_vllm_registered_model, architectures=["Glm5NextForCausalLM"],
+#     glm5next/common/model.py:1113), and model_runner.py:425 calls
+#     set_eagle3_aux_hidden_state_layers(self.model) on the CONDITIONAL.
+#     Presence rule (verified in-image with stock typing, python 3.14):
+#     isinstance walks ALL __protocol_attrs__ -- members of SupportsEagle3 AND
+#     its base SupportsEagleBase (has_own_lm_head, has_own_embed_tokens) -- and
+#     getattr_static()s each one off the instance, breaking on the first miss.
+#     So BOTH wrappers need all three attributes.
+#   * MRO law: INHERITING SupportsEagle3 as a base dies at class creation with
+#     "Cannot create a consistent method resolution order (MRO) for bases ..."
+#     (GLM's wrappers already carry four/five Protocol-derived bases).  The
+#     attribute route avoids the MRO entirely.  Also proven by simulation:
+#     the four-base ForCausalLM ordering cannot take SupportsEagle3 in ANY
+#     position.
+#   * Method placement: without inheriting, the Protocol's default
+#     set_aux_hidden_state_layers / get_eagle3_default_aux_hidden_state_layers
+#     do not exist on either wrapper, so both are defined explicitly --
+#     ForCausalLM unwraps to self.model (the EagleModelMixin trunk, v1's
+#     correct bodies), the conditional delegates to self.language_model
+#     (the pixtral.py:498 pattern).
+#   * interfaces.py:1673-1719 -- for reference, the inherited defaults unwrap
+#     `holder = getattr(parent_ref, "model", parent_ref)` and assert
+#     `isinstance(holder, EagleModelMixin)`, defaulting to (2, L // 2, L - 3).
+#   * eagle3_utils.py:26-31 -- layers come from the spec config when it carries them
+#     (this drafter ships target_layer_ids [5, 14, 24, 33, 42]), else from the default.
+#   * deepseek_v2.py:1551-1585 and v1/worker/gpu/cudagraph_utils.py:621 -- the trunk
+#     appends one tensor per aux layer while looping and returns the TUPLE
+#     (hidden_states, aux_hidden_states) only when that list is non-empty.
+#
+# WHAT IT ADDS for GLM: EagleModelMixin on Glm5NextModel; aux capture in the layer
+# loop, where the aux state is the single-stream `hidden_states` ENTERING that layer
+# (GLM's loop carries the already-summed single-stream state -- its non-mHC branch
+# re-splits `residual = hidden_states` inside the layer -- so this is the equivalent
+# of deepseek_v2's `hidden_states + residual`); the conditional tuple return; the
+# three SupportsEagle3 member attributes on BOTH wrappers; and the two interface
+# methods on both (ForCausalLM: unwrap to trunk; conditional: delegate to
+# language_model).
+#
+# HONEST SCOPE: this makes the interface PRESENT, which is exactly what the engine
+# checks -- it does not make drafts GOOD, and per the measured profile it is not a
+# decode-speed fix (a verification pass pays pointwise cost proportional to its token
+# count, which is why MTP4 measured flat).  It is the prerequisite for driving DFlash2
+# on this endpoint at all.
+#
+# TARGET: vllm/models/glm5next/common/model.py   (inside the pinned image)
+#   base    sha256 008eeaa2a07e091465319f86900b5a321d921238723ccbe22e6b9e971e1d2b28
+#   patched sha256 bc9913a15c8e7f88e0c36b07bf029b383cc8c2078b58d66dc91aa235f8af77f4
+#
+# APPLY: `patch -p1` from the vllm package root, or bind-mount the patched file over
+# site-packages (which is what a scratch-launcher DFLASH_PATCH=1 does).
+--- a/vllm/models/glm5next/common/model.py
+++ b/vllm/models/glm5next/common/model.py
+@@ -95,6 +95,12 @@
+ logger = init_logger(__name__)
+ 
+ 
+from vllm.model_executor.models.interfaces import (
+    EagleModelMixin,
+    SupportsEagle3,
+)
+
+
+ class Glm5NextMLP(nn.Module):
+     def __init__(
+         self,
+@@ -623,7 +629,7 @@
+         )
+ 
+ 
+-class Glm5NextModel(nn.Module):
+class Glm5NextModel(nn.Module, EagleModelMixin):
+     def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
+         super().__init__()
+ 
+@@ -730,7 +736,14 @@
+         if self.is_sequence_parallel:
+             hidden_states = sp_shard(hidden_states)
+ 
+-        for layer in self._active_layers:
+        aux_hidden_states: list[torch.Tensor] = []
+        for local_idx, layer in enumerate(self._active_layers):
+            if (getattr(self, "start_layer", 0) + local_idx) in self.aux_hidden_state_layers:
+                # Auxiliary hidden state for EAGLE-3 / DFlash2 drafts: the
+                # single-stream state ENTERING this layer, before its input norm --
+                # the same semantic deepseek_v2 implements by appending
+                # hidden_states + residual at this point in its loop.
+                aux_hidden_states.append(hidden_states)
+             hidden_states, residual, post, comb = layer(
+                 positions, hidden_states, residual, post, comb
+             )
+@@ -749,6 +762,8 @@
+             hidden_states = sp_all_gather(hidden_states)[:full_num_tokens]
+ 
+         hidden_states = self.norm(hidden_states)
+        if len(aux_hidden_states) > 0:
+            return hidden_states, aux_hidden_states
+         return hidden_states
+ 
+     def load_weights(self, weights: Iterable[tuple[str, torch.Tensor]]) -> set[str]:
+@@ -937,6 +952,10 @@
+ class Glm5NextForCausalLM(
+     nn.Module, HasInnerState, SupportsPP, MixtureOfExperts, IsHybrid
+ ):
+    supports_eagle3: ClassVar[Literal[True]] = True
+    has_own_lm_head: bool = False
+    has_own_embed_tokens: bool = False
+
+     def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
+         super().__init__()
+         self.model_config = vllm_config.model_config
+@@ -963,6 +982,14 @@
+     def embed_input_ids(self, input_ids: torch.Tensor) -> torch.Tensor:
+         return self.model.embed_input_ids(input_ids)
+ 
+    def set_aux_hidden_state_layers(self, layers: tuple[int, ...]) -> None:
+        # EAGLE-3 / DFlash2 interface: unwrap to the trunk (the EagleModelMixin).
+        self.model.aux_hidden_state_layers = layers
+
+    def get_eagle3_default_aux_hidden_state_layers(self) -> tuple[int, ...]:
+        num_layers = len(self.model.layers)
+        return (2, num_layers // 2, num_layers - 3)
+
+     def forward(
+         self,
+         input_ids: torch.Tensor | None,
+@@ -1033,6 +1060,10 @@
+ class Glm5NextForConditionalGeneration(
+     Glm4vForConditionalGeneration, HasInnerState, IsHybrid, MixtureOfExperts
+ ):
+    supports_eagle3: ClassVar[Literal[True]] = True
+    has_own_lm_head: bool = False
+    has_own_embed_tokens: bool = False
+
+     # The text model (KDA + dense-MLA + MoE) is a hybrid mamba model. The
+     # multimodal wrapper must declare the same interfaces so vLLM treats it as
+     # hybrid (auto-aligns mamba/attention block sizes, sizes the mamba state
+@@ -1076,6 +1107,13 @@
+ 
+         return Glm5NextForCausalLM.get_mamba_state_copy_func()
+ 
+    def set_aux_hidden_state_layers(self, layers: tuple[int, ...]) -> None:
+        # EAGLE-3 / DFlash2: delegate to the language model (pixtral.py:498).
+        self.language_model.set_aux_hidden_state_layers(layers)
+
+    def get_eagle3_default_aux_hidden_state_layers(self) -> tuple[int, ...]:
+        return self.language_model.get_eagle3_default_aux_hidden_state_layers()
+
+     def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
+         super(Glm4vForConditionalGeneration, self).__init__()
+         config = vllm_config.model_config.hf_config
@@ -0,0 +1,317 @@
+--- a/vllm/v1/core/kv_cache_utils.py
+++ b/vllm/v1/core/kv_cache_utils.py
+@@ -1210,17 +1210,38 @@
+         for name, spec in kv_cache_spec.items()
+         if isinstance(spec, KpoolTailSpec)
+     }
+    hidden_specs = {
+        name: spec
+        for name, spec in kv_cache_spec.items()
+        if isinstance(spec, HiddenStateCacheSpec)
+    }
+     attn_specs = {
+         name: spec
+         for name, spec in kv_cache_spec.items()
+-        if not isinstance(spec, (MambaSpec, KpoolTailSpec))
+        if not isinstance(
+            spec, (MambaSpec, KpoolTailSpec, HiddenStateCacheSpec)
+        )
+     }
+-    if not mamba_specs or not all(
+-        type(spec) is MLAAttentionSpec for spec in attn_specs.values()
+-    ):
+    if not mamba_specs or not attn_specs:
+        return None
+    # FORK-LOCAL (patches/glm53-dflash-04-kv-groups-draft): with a dflash
+    # drafter, attn_specs also carries the drafter's attention layers. The
+    # GLM MLA layers keep their own group (no page unification -- per-group
+    # pages are the glm5 design); the drafter layers must form one uniform
+    # group of their own, and the hidden-state layers get per-layer groups
+    # like the generic tail.
+    mla_specs = {
+        name: spec
+        for name, spec in attn_specs.items()
+        if type(spec) is MLAAttentionSpec
+    }
+    draft_specs = {
+        name: spec for name, spec in attn_specs.items() if name not in mla_specs
+    }
+    if not mla_specs:
+        return None
+    if draft_specs and UniformTypeKVCacheSpecs.from_specs(draft_specs) is None:
+         return None
+-
+-    mla_specs = cast(dict[str, MLAAttentionSpec], attn_specs)
+     idx_pages = {
+         spec.page_size_bytes for spec in mla_specs.values() if spec.tokens_per_state > 1
+     }
+@@ -1233,7 +1254,7 @@
+     mla_pages = {mla_specs[name].page_size_bytes for name in mla_names}
+     assert len(mla_pages) == 1
+     mla_page = mla_pages.pop()
+-    uniform_spec = UniformTypeKVCacheSpecs.from_specs(attn_specs)
+    uniform_spec = UniformTypeKVCacheSpecs.from_specs(mla_specs)
+     assert uniform_spec is not None
+ 
+     tail_group: KVCacheGroupSpec | None = None
+@@ -1270,10 +1291,20 @@
+     for index, name in enumerate(mamba_specs):
+         mamba_grouped_names[index % num_groups].append(name)
+ 
+    draft_group: KVCacheGroupSpec | None = None
+    if draft_specs:
+        draft_uniform = UniformTypeKVCacheSpecs.from_specs(draft_specs)
+        assert draft_uniform is not None
+        draft_group = KVCacheGroupSpec(list(draft_specs), draft_uniform)
+    hidden_groups = [
+        KVCacheGroupSpec([name], spec) for name, spec in hidden_specs.items()
+    ]
+     return (
+-        [KVCacheGroupSpec(list(attn_specs), uniform_spec)]
+        [KVCacheGroupSpec(list(mla_specs), uniform_spec)]
+         + ([tail_group] if tail_group is not None else [])
+        + ([draft_group] if draft_group is not None else [])
+         + create_kv_cache_group_specs(padded_specs, mamba_grouped_names)
+        + hidden_groups
+     )
+ 
+ 
+@@ -1289,10 +1320,17 @@
+         int,
+         list[str],
+         int,
+        KVCacheGroupSpec | None,
+        list[KVCacheGroupSpec],
+     ]
+     | None
+ ):
+-    """Recognize the GLM-5.3-Flash grouping after optional PP projection."""
+    """Recognize the GLM-5.3-Flash grouping after optional PP projection.
+
+    FORK-LOCAL (patches/glm53-dflash-04-kv-groups-draft): also recognizes the
+    drafter's uniform group and the per-layer hidden-state groups, returned
+    as ``draft_group`` / ``hidden_groups`` so the pool builder and the memory
+    estimator can size their tensors beside the aliased GLM pool."""
+     uniform_groups = [
+         group
+         for group in kv_cache_groups
+@@ -1301,17 +1339,28 @@
+     mamba_groups = [
+         group for group in kv_cache_groups if isinstance(group.kv_cache_spec, MambaSpec)
+     ]
+    hidden_groups = [
+        group
+        for group in kv_cache_groups
+        if isinstance(group.kv_cache_spec, HiddenStateCacheSpec)
+    ]
+     attn_group: KVCacheGroupSpec | None = None
+     tail_group: KVCacheGroupSpec | None = None
+    draft_group: KVCacheGroupSpec | None = None
+     for group in uniform_groups:
+         inner = cast(UniformTypeKVCacheSpecs, group.kv_cache_spec).kv_cache_specs
+         if all(type(spec) is MLAAttentionSpec for spec in inner.values()):
+             attn_group = group
+         elif all(isinstance(spec, KpoolTailSpec) for spec in inner.values()):
+             tail_group = group
+        else:
+            draft_group = group
+     if attn_group is None or not mamba_groups:
+         return None
+-    if len(uniform_groups) + len(mamba_groups) != len(kv_cache_groups):
+    if (
+        len(uniform_groups) + len(mamba_groups) + len(hidden_groups)
+        != len(kv_cache_groups)
+    ):
+         return None
+ 
+     attn_uniform = cast(UniformTypeKVCacheSpecs, attn_group.kv_cache_spec)
+@@ -1362,6 +1411,8 @@
+         idx_page,
+         tail_names,
+         tail_page,
+        draft_group,
+        hidden_groups,
+     )
+ 
+ 
+@@ -1395,10 +1446,34 @@
+         return kv_cache_spec
+ 
+     max_page_size = max(page_sizes)
+    # GLM-5.3-Flash + a draft model: the sparse indexer k_cache page is
+    # tokens_per_state x the MLA page (same per-token bytes), and MLA layers
+    # cannot be PADDED to an arbitrary page size (sparse MLA indexes the cache
+    # in whole token rows) -- but they CAN grow their block size when the max
+    # page is an exact multiple of the MLA page. Bump the max page to a
+    # multiple of every MLA-family page so all of them take the divisible
+    # block-growth branch below instead of the padding refusal, while the
+    # draft and mamba layers simply pad to the (slightly larger) page.
+    mla_pages = {
+        spec.page_size_bytes
+        for spec in kv_cache_spec.values()
+        if isinstance(spec, MLAAttentionSpec)
+    }
+    if mla_pages:
+        mla_common = math.lcm(*mla_pages)
+        max_page_size = -(-max_page_size // mla_common) * mla_common
+     new_kv_cache_spec = {}
+     for layer_name, layer_spec in kv_cache_spec.items():
+         if layer_spec.page_size_bytes == max_page_size:
+             new_kv_cache_spec[layer_name] = layer_spec
+        elif isinstance(layer_spec, KpoolTailSpec):
+            # The kpool tail kernel pins the tail block to the kpool size
+            # (tail_kv_cache.view(...) must be [blocks, 2, index_kpool,
+            # head_dim]); growing block_size breaks that contract. Pad the
+            # physical page instead -- the tail is its own group and the pad
+            # wastes bytes only.
+            new_spec = replace(layer_spec, page_size_padded=max_page_size)
+            new_kv_cache_spec[layer_name] = new_spec
+         elif isinstance(layer_spec, MambaSpec):
+             # MambaSpec's page size is determined by its state shapes and does
+             # not scale with block_size, so pad the page instead. This is the
+@@ -1593,8 +1668,31 @@
+ ) -> int:
+     """Return the largest cache group's bytes per block."""
+     if (glm5_layout := _glm5_next_tensor_layout(kv_cache_groups)) is not None:
+-        _, _, mla_names, idx_names, mla_page, idx_page, _, _ = glm5_layout
+-        return len(mla_names) * mla_page + len(idx_names) * idx_page
+        (
+            _,
+            _,
+            mla_names,
+            idx_names,
+            mla_page,
+            idx_page,
+            _,
+            _,
+            draft_group,
+            hidden_groups,
+        ) = glm5_layout
+        bytes_per_block = len(mla_names) * mla_page + len(idx_names) * idx_page
+        if draft_group is not None:
+            d_inner = cast(
+                UniformTypeKVCacheSpecs, draft_group.kv_cache_spec
+            ).kv_cache_specs
+            bytes_per_block += sum(
+                spec.page_size_bytes for spec in d_inner.values()
+            )
+        for group in hidden_groups:
+            bytes_per_block += (
+                group.kv_cache_spec.page_size_bytes * len(group.layer_names)
+            )
+        return bytes_per_block
+ 
+     bytes_per_block = max(
+         sum(
+@@ -1701,12 +1799,30 @@
+             idx_page,
+             tail_names,
+             _,
+            draft_group,
+            hidden_groups,
+         ) = glm5_layout
+         bytes_per_block = len(mla_names) * mla_page + len(idx_names) * idx_page
+        extra_bytes_per_block = 0
+        if draft_group is not None:
+            d_inner = cast(
+                UniformTypeKVCacheSpecs, draft_group.kv_cache_spec
+            ).kv_cache_specs
+            extra_bytes_per_block += sum(
+                spec.page_size_bytes for spec in d_inner.values()
+            )
+        for group in hidden_groups:
+            extra_bytes_per_block += (
+                group.kv_cache_spec.page_size_bytes * len(group.layer_names)
+            )
+         num_blocks = may_override_num_blocks(
+-            vllm_config, available_memory // bytes_per_block
+            vllm_config,
+            available_memory // (bytes_per_block + extra_bytes_per_block),
+         )
+-        size = bytes_per_block * num_blocks
+        # One backing allocation shared by every tensor (allocate_kv_cache
+        # asserts all tensor sizes equal): the aliased GLM pool plus the
+        # draft/hidden regions appended after it.
+        size = (bytes_per_block + extra_bytes_per_block) * num_blocks
+         attn_specs = cast(
+             UniformTypeKVCacheSpecs, attn_group.kv_cache_spec
+         ).kv_cache_specs
+@@ -1745,6 +1861,37 @@
+                 ).kv_cache_specs
+                 add_tensor(tail_name, tail_specs[tail_name], offset)
+ 
+        # Draft + hidden-state layers get their own tensors appended after
+        # the aliased pool (no aliasing: independent block tables).
+        offset_cursor = bytes_per_block * num_blocks
+        if draft_group is not None:
+            d_inner = cast(
+                UniformTypeKVCacheSpecs, draft_group.kv_cache_spec
+            ).kv_cache_specs
+            d_page = next(iter(d_inner.values())).page_size_bytes
+            kv_cache_tensors.append(
+                KVCacheTensor(
+                    size=size,
+                    layers=list(draft_group.layer_names),
+                    layer_stride=d_page * num_blocks,
+                    block_stride=d_page,
+                    offset=offset_cursor,
+                )
+            )
+            offset_cursor += d_page * num_blocks * len(draft_group.layer_names)
+        for group in hidden_groups:
+            h_page = group.kv_cache_spec.page_size_bytes
+            kv_cache_tensors.append(
+                KVCacheTensor(
+                    size=size,
+                    layers=list(group.layer_names),
+                    layer_stride=h_page * num_blocks,
+                    block_stride=h_page,
+                    offset=offset_cursor,
+                )
+            )
+            offset_cursor += h_page * num_blocks * len(group.layer_names)
+
+         return KVCacheConfig(
+             num_blocks=num_blocks,
+             kv_cache_tensors=kv_cache_tensors,
+@@ -2440,6 +2587,8 @@
+             idx_page,
+             tail_names,
+             _,
+            draft_group,
+            hidden_groups,
+         ) = glm5_layout
+         uniform_spec = cast(UniformTypeKVCacheSpecs, attn_group.kv_cache_spec)
+         total_blocks = uniform_spec.max_memory_usage_pages(vllm_config)
+@@ -2452,7 +2601,30 @@
+         )
+         if tail_names:
+             total_blocks += 1
+-        return total_blocks * (len(mla_names) * mla_page + len(idx_names) * idx_page)
+        pool_bytes = total_blocks * (
+            len(mla_names) * mla_page + len(idx_names) * idx_page
+        )
+        extra_bytes = 0
+        if draft_group is not None:
+            d_inner = cast(
+                UniformTypeKVCacheSpecs, draft_group.kv_cache_spec
+            ).kv_cache_specs
+            d_spec = next(iter(d_inner.values()))
+            d_blocks = cdiv(
+                d_spec.max_memory_usage_bytes(vllm_config), d_spec.page_size_bytes
+            )
+            extra_bytes += d_blocks * d_spec.page_size_bytes * len(
+                draft_group.layer_names
+            )
+        for group in hidden_groups:
+            h_spec = group.kv_cache_spec
+            h_blocks = cdiv(
+                h_spec.max_memory_usage_bytes(vllm_config), h_spec.page_size_bytes
+            )
+            extra_bytes += (
+                h_blocks * h_spec.page_size_bytes * len(group.layer_names)
+            )
+        return pool_bytes + extra_bytes
+ 
+     bytes_per_block = _pool_bytes_per_block(kv_cache_groups)
+     total_blocks = 0
@@ -0,0 +1,31 @@
+--- a/vllm/model_executor/offloader/expert_activation_registry.py
+++ b/vllm/model_executor/offloader/expert_activation_registry.py
+@@ -316,7 +316,27 @@
+ 
+ 
+ def _glm53_kv_bytes_per_token(cfg: "VllmConfig") -> int:
+-    return 13600
+    per_tok = 13600
+    # FORK-LOCAL (patches/glm53-dflash-04-kv-groups-draft): with a dflash/dspark
+    # drafter, the KV spec set gains the drafter's attention layers and the aux
+    # hidden-state cache (one bf16 hidden vector per target aux layer per
+    # token). Both are full-length per-token costs the aliased glm5 pool
+    # cannot absorb, so the reserve must include them. The drafter is a 5-layer
+    # qwen3 (8 kv heads x 128 x K+V x bf16 = 4096 B/token); the aux count is
+    # the dflash target_layer_ids count (5).
+    # NOTE: use_aux_hidden_state_outputs lives on the gpu_model_runner
+    # instance (gpu_model_runner.py:623/678), not on the spec config -- it is
+    # not set yet when the expert plan runs. The spec-config METHOD is the
+    # plan-time signal for the same fact.
+    sc = getattr(cfg, "speculative_config", None)
+    if sc is not None and getattr(sc, "method", "") in (
+        "dflash",
+        "dspark",
+        "extract_hidden_states",
+    ):
+        hidden = int(cfg.model_config.hf_config.hidden_size)
+        per_tok += 5 * hidden * 2 + 4096
+    return per_tok
+ 
+ 
+ for _arch in ("Glm5NextForConditionalGeneration", "Glm5NextForCausalLM"):
@@ -0,0 +1,65 @@
+# gpu_worker-kv-cap.patch — fork-local fix for the expert-offload KV cap.
+#
+# STATUS: NOT part of the deployed frank-primary shape. It exists because the
+# fork's plan under-models this model's KV, and it is the enabler for a future
+# MTP attempt (the production GLM shape runs without MTP and boots fine on the
+# plan's own reserve).
+#
+# THE BUG: the plan models KV as 13600 B/token + a small mamba term, but
+# GLM-5.3-Flash also carries a per-sequence KDA state (34 linear-attention
+# layers) and, under MTP, the draft model's KV. gpu_worker then CAPS the KV
+# cache at that reserve, so the plan's own arithmetic can make a legal
+# --max-model-len unbootable. Measured 2026-09-30 on the pinned image:
+#   - no MTP, max_model_len 131072: reserve 1.74 GiB >= need 1.86 GiB  -> boots
+#   - MTP4,  max_model_len 131072: reserve 1.74 GiB <  need 2.07 GiB  -> refuses
+#   - MTP4,  max_model_len 262144: reserve 3.43 GiB <  need 3.62 GiB  -> refuses
+#     ("To serve at least one request with the model's max seq len ...")
+# Raising max_model_len does not fix it: the cap's slope (~13,845 B/token) only
+# overtakes the need's (~12,700 B/token + 0.52 GiB fixed) around 440k tokens,
+# where the KV reserve would eat a third of the expert arena.
+#
+# THE FIX: let an explicit operator KV request raise the cap. The compile and
+# graph-capture headroom still comes off the top, so the blast radius is one
+# flag the operator chose.
+#
+# APPLY (into a host dir that is then bind-mounted read-only over the image):
+#   IMAGE=docker.io/tcclaviger/vllm@sha256:da4029666668b90a0386c1ed23ea370c79916ad4e1a6ad1dd9db098b9fa069ea
+#   D=/home/dank/glm-patch; mkdir -p $D/vllm/v1/worker
+#   podman run --rm --entrypoint cat $IMAGE \
+#     /opt/vllm/lib/python3.14/site-packages/vllm/v1/worker/gpu_worker.py \
+#     > $D/vllm/v1/worker/gpu_worker.py
+#   ( cd $D && patch -p1 < .../scripts/patches/gpu_worker-kv-cap.patch )
+#   # then add to the podman run:
+#   #   -v $D/vllm/v1/worker/gpu_worker.py:/opt/vllm/lib/python3.14/site-packages/vllm/v1/worker/gpu_worker.py:ro
+#   #   -e CLAV_KV_RESERVE_FLOOR_GIB=<needed>   (or pass --kv-cache-memory-bytes)
+#
+# Base file sha256 (the pristine file out of the pinned image):
+#   1f3942b1a01af075317161b06077a2e658086f1da0566c9f297129ceebe37dd7
+# Patched file sha256 (verified 2026-09-30, patch applies clean and reproduces
+# these bytes exactly):
+#   80cd160bbc01270b0851f7b6fe7552b06ae2fae2428134fc29238d7f452af840
+#
+--- a/vllm/v1/worker/gpu_worker.py
+++ b/vllm/v1/worker/gpu_worker.py
+@@ -824,6 +824,21 @@
+         expert_cfg = self.vllm_config.offload_config.expert
+         if expert_cfg.enable_expert_offload and expert_cfg.planned_kv_reserve_bytes > 0:
+             cap = int(expert_cfg.planned_kv_reserve_bytes)
+            # LOCAL PATCH (GLM-5.3 KDA + MTP draft): the plan models KV as
+            # 13600 B/token + a small mamba term, but this model also carries a
+            # per-sequence KDA state and (under MTP) the draft's KV, so the
+            # reserve can sit BELOW what max_model_len legitimately needs -- and
+            # the cap then makes a legal config unbootable (measured: need
+            # 2.07 GiB vs cap 1.74 GiB at max_model_len 131072 with MTP). An
+            # explicit --kv-cache-memory-bytes, or CLAV_KV_RESERVE_FLOOR_GIB,
+            # is the operator's word: let it raise the cap. The compile/capture
+            # headroom still comes off the top.
+            _explicit = self.cache_config.kv_cache_memory_bytes
+            _floor = os.environ.get("CLAV_KV_RESERVE_FLOOR_GIB")
+            if _explicit:
+                cap = max(cap, int(_explicit))
+            if _floor:
+                cap = max(cap, int(float(_floor) * (1 << 30)))
+             if self.available_kv_cache_memory_bytes > cap:
+                 logger.info_once(
+                     "expert offload: KV capped at the plan's reserve %s GiB; %s GiB of "
@@ -0,0 +1,460 @@
+{%- set template_version = "qwen3.8-froggeric-v22.5" %}
+{%- set _tool_format = tool_call_format if tool_call_format is defined else 'xml' %}
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- set add_vision_id = add_vision_id if add_vision_id is defined else false %}
+{%- set enable_thinking = enable_thinking if enable_thinking is defined else true %}
+{%- set auto_disable_thinking_with_tools = auto_disable_thinking_with_tools if auto_disable_thinking_with_tools is defined else false %}
+{%- if preserve_reasoning is defined and preserve_reasoning is not none %}
+    {%- set _preserve_thinking = preserve_reasoning %}
+{%- elif preserve_thinking is defined and preserve_thinking is not none %}
+    {%- set _preserve_thinking = preserve_thinking %}
+{%- else %}
+    {%- set _preserve_thinking = true %}
+{%- endif %}
+{%- set max_tool_arg_chars = max_tool_arg_chars if max_tool_arg_chars is defined else 0 %}
+{%- set max_tool_response_chars = max_tool_response_chars if max_tool_response_chars is defined else 0 %}
+{%- set _default_reasoning_effort = 'medium' %}
+{%- set _has_tools = (tools is defined and tools and tools is iterable and tools is not mapping) %}
+{%- set _effort_raw = (reasoning_effort | string | lower) if reasoning_effort is defined and reasoning_effort is not none else _default_reasoning_effort %}
+{%- set _initial_thinking = enable_thinking %}
+{%- if _effort_raw in ('none', 'off') %}
+    {%- set _initial_thinking = false %}
+    {%- set _initial_effort = 'medium' %}
+{%- elif _effort_raw in ('minimal', 'low') %}
+    {%- set _initial_effort = 'low' %}
+{%- elif _effort_raw in ('high', 'xhigh', 'max', 'ultracode', 'extreme') %}
+    {%- set _initial_effort = 'xhigh' %}
+{%- else %}
+    {%- set _initial_effort = 'medium' %}
+{%- endif %}
+{%- set ns_state = namespace(thinking=_initial_thinking, effort=_initial_effort) %}
+{%- if auto_disable_thinking_with_tools and _has_tools %}
+    {%- set ns_state.thinking = false %}
+{%- endif %}
+{%- for msg in messages %}
+    {%- if msg.role == 'system' or msg.role == 'developer' or msg.role == 'user' %}
+        {%- if msg.content is string %}
+            {%- if '<|think_off|>' in msg.content %}
+                {%- set ns_state.thinking = false %}
+            {%- elif '<|think_on|>' in msg.content %}
+                {%- set ns_state.thinking = true %}
+            {%- elif '<|think_xhigh|>' in msg.content or '<|think_high|>' in msg.content or '<|think_ultracode|>' in msg.content or '<|think_extreme|>' in msg.content or '<|think_max|>' in msg.content %}
+                {%- set ns_state.thinking = true %}
+                {%- set ns_state.effort = 'xhigh' %}
+            {%- elif '<|think_low|>' in msg.content or '<|think_minimal|>' in msg.content %}
+                {%- set ns_state.thinking = true %}
+                {%- set ns_state.effort = 'low' %}
+            {%- elif '<|think_medium|>' in msg.content %}
+                {%- set ns_state.thinking = true %}
+                {%- set ns_state.effort = 'medium' %}
+            {%- endif %}
+        {%- elif msg.content is iterable and msg.content is not mapping %}
+            {%- for item in msg.content %}
+                {%- if item is string %}
+                    {%- set _item_text = item %}
+                {%- elif item is mapping and 'text' in item and item.text is string %}
+                    {%- set _item_text = item.text %}
+                {%- else %}
+                    {%- set _item_text = '' %}
+                {%- endif %}
+                {%- if _item_text %}
+                    {%- if '<|think_off|>' in _item_text %}
+                        {%- set ns_state.thinking = false %}
+                    {%- elif '<|think_on|>' in _item_text %}
+                        {%- set ns_state.thinking = true %}
+                    {%- elif '<|think_xhigh|>' in _item_text or '<|think_high|>' in _item_text or '<|think_ultracode|>' in _item_text or '<|think_extreme|>' in _item_text or '<|think_max|>' in _item_text %}
+                        {%- set ns_state.thinking = true %}
+                        {%- set ns_state.effort = 'xhigh' %}
+                    {%- elif '<|think_low|>' in _item_text or '<|think_minimal|>' in _item_text %}
+                        {%- set ns_state.thinking = true %}
+                        {%- set ns_state.effort = 'low' %}
+                    {%- elif '<|think_medium|>' in _item_text %}
+                        {%- set ns_state.thinking = true %}
+                        {%- set ns_state.effort = 'medium' %}
+                    {%- endif %}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- set reasoning_instructions = '' %}
+{%- if ns_state.thinking %}
+    {%- if ns_state.effort == 'xhigh' %}
+        {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %}
+    {%- elif ns_state.effort == 'low' %}
+        {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %}
+    {%- endif %}
+{%- endif %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+    {%- if content is string %}
+        {{- content }}
+    {%- elif content is iterable and content is not mapping %}
+        {%- for item in content %}
+            {%- if item is mapping %}
+                {%- if item.type == 'image' or 'image' in item or 'image_url' in item %}
+                    {%- if is_system_content %}
+                        {{- raise_exception('System message cannot contain images.') }}
+                    {%- endif %}
+                    {%- if do_vision_count %}
+                        {%- set image_count.value = image_count.value + 1 %}
+                    {%- endif %}
+                    {%- if add_vision_id %}
+                        {{- 'Picture ' ~ image_count.value ~ ': ' }}
+                    {%- endif %}
+                    {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+                {%- elif item.type == 'video' or 'video' in item or 'video_url' in item %}
+                    {%- if is_system_content %}
+                        {{- raise_exception('System message cannot contain videos.') }}
+                    {%- endif %}
+                    {%- if do_vision_count %}
+                        {%- set video_count.value = video_count.value + 1 %}
+                    {%- endif %}
+                    {%- if add_vision_id %}
+                        {{- 'Video ' ~ video_count.value ~ ': ' }}
+                    {%- endif %}
+                    {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+                {%- elif 'text' in item %}
+                    {{- item.text }}
+                {%- else %}
+                    {{- raise_exception('Unexpected item type in content.') }}
+                {%- endif %}
+            {%- else %}
+                {{- item | string }}
+            {%- endif %}
+        {%- endfor %}
+    {%- elif content is none or content is undefined %}
+        {{- '' }}
+    {%- else %}
+        {{- raise_exception('Unexpected content type.') }}
+    {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+    {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- set head = namespace(count=0, seen_non_system=false) %}
+{%- for message in messages %}
+    {%- set _is_sys = (message.role == 'system' or message.role == 'developer') %}
+    {%- if _is_sys and not head.seen_non_system %}
+        {%- set head.count = head.count + 1 %}
+    {%- else %}
+        {%- set head.seen_non_system = true %}
+    {%- endif %}
+{%- endfor %}
+{%- set sys_state = namespace(content='') %}
+{%- for message in messages[:head.count] %}
+    {%- set _part = render_content(message.content, false, true) | trim %}
+    {%- if '<|think_off|>' in _part %}{%- set _part = _part.split('<|think_off|>') | join('') | trim %}{%- endif %}
+    {%- if '<|think_on|>' in _part %}{%- set _part = _part.split('<|think_on|>') | join('') | trim %}{%- endif %}
+    {%- if '<|think_xhigh|>' in _part %}{%- set _part = _part.split('<|think_xhigh|>') | join('') | trim %}{%- endif %}
+    {%- if '<|think_high|>' in _part %}{%- set _part = _part.split('<|think_high|>') | join('') | trim %}{%- endif %}
+    {%- if '<|think_ultracode|>' in _part %}{%- set _part = _part.split('<|think_ultracode|>') | join('') | trim %}{%- endif %}
+    {%- if '<|think_extreme|>' in _part %}{%- set _part = _part.split('<|think_extreme|>') | join('') | trim %}{%- endif %}
+    {%- if '<|think_max|>' in _part %}{%- set _part = _part.split('<|think_max|>') | join('') | trim %}{%- endif %}
+    {%- if '<|think_medium|>' in _part %}{%- set _part = _part.split('<|think_medium|>') | join('') | trim %}{%- endif %}
+    {%- if '<|think_low|>' in _part %}{%- set _part = _part.split('<|think_low|>') | join('') | trim %}{%- endif %}
+    {%- if '<|think_minimal|>' in _part %}{%- set _part = _part.split('<|think_minimal|>') | join('') | trim %}{%- endif %}
+    {%- if _part %}
+        {%- if sys_state.content %}
+            {%- set sys_state.content = sys_state.content ~ '\n\n' ~ _part %}
+        {%- else %}
+            {%- set sys_state.content = _part %}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- set _sc = sys_state.content %}
+{%- set _msgs = messages[head.count:] %}
+{%- if _has_tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if reasoning_instructions %}
+        {{- reasoning_instructions + '\n\n' }}
+    {%- endif %}
+    {{- '# Tools\n\nYou have access to the following functions:\n\n<tools>' }}
+    {%- for tool in tools %}
+        {{- '\n' }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- '\n</tools>' }}
+    {%- if _tool_format == 'json' %}
+        {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n' }}
+        {%- if ns_state.thinking %}
+            {{- '<think>\nBrief explanation of tool call\n</think>\n' }}
+        {%- endif %}
+        {{- '<tool_call>\n{"name": "example_function_name", "arguments": {"example_parameter_1": "value_1", "example_parameter_2": "This is the value for the second parameter"}}\n</tool_call>\n\n<IMPORTANT>\nReminder:\n' }}
+        {%- if ns_state.thinking %}
+            {{- '- You can use the <think></think> block to plan your next tool call OR to synthesize data and formulate your final response to the user.\n- ALL explanation and reasoning MUST be placed strictly inside the <think></think> block.\n' }}
+        {%- endif %}
+        {{- '- Function calls MUST follow the specified format: a single JSON object with "name" and "arguments" keys inside <tool_call></tool_call> XML tags.\n' }}
+        {%- if ns_state.thinking %}
+            {{- '- If you choose to call a tool, you MUST output the <tool_call> block IMMEDIATELY after thinking, with NO conversational text before it.\n' }}
+        {%- else %}
+            {{- '- If you choose to call a tool, you MUST output the <tool_call> block IMMEDIATELY, with NO conversational text before it.\n' }}
+        {%- endif %}
+        {{- '- The <tool_call> tag MUST be at the very beginning of a new line, with NO spaces or indentation before it.\n- To call multiple functions, output a separate, completely closed <tool_call></tool_call> block for EACH function. Do NOT nest <tool_call> blocks.\n- If you have all necessary data, provide your final answer directly to the user without any tool call.\n</IMPORTANT>' }}
+    {%- else %}
+        {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n' }}
+        {%- if ns_state.thinking %}
+            {{- '<think>\nBrief explanation of tool call\n</think>\n' }}
+        {%- endif %}
+        {{- '<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n' }}
+        {%- if ns_state.thinking %}
+            {{- '- You can use the <think></think> block to plan your next tool call OR to synthesize data and formulate your final response to the user.\n- ALL explanation and reasoning MUST be placed strictly inside the <think></think> block.\n' }}
+        {%- endif %}
+        {{- '- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags.\n' }}
+        {%- if ns_state.thinking %}
+            {{- '- If you choose to call a tool, you MUST output the <tool_call> block IMMEDIATELY after thinking, with NO conversational text before it.\n' }}
+        {%- else %}
+            {{- '- If you choose to call a tool, you MUST output the <tool_call> block IMMEDIATELY, with NO conversational text before it.\n' }}
+        {%- endif %}
+        {{- '- The <tool_call> and <function> tags MUST be at the very beginning of a new line, with NO spaces or indentation before them.\n- To call multiple functions, output a separate, completely closed <tool_call></tool_call> block for EACH function. Do NOT nest <tool_call> blocks.\n- If you have all necessary data, provide your final answer directly to the user without any tool call.\n</IMPORTANT>' }}
+    {%- endif %}
+    {%- if _sc %}
+        {{- '\n\n' + _sc }}
+    {%- endif %}
+    {{- '<|im_end|>\n' }}
+{%- else %}
+    {%- if _sc %}
+        {{- '<|im_start|>system\n' + (reasoning_instructions + '\n\n' if reasoning_instructions else '') + _sc + '<|im_end|>\n' }}
+    {%- elif reasoning_instructions %}
+        {{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set _last_idx = _msgs | length - 1 %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=_last_idx) %}
+{%- for message in _msgs[::-1] %}
+    {%- set index = (_msgs | length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == 'user' %}
+        {%- set _rc = render_content(message.content, false) | trim %}
+        {%- if not (_rc.startswith('<tool_response>') and _rc.endswith('</tool_response>')) %}
+            {%- set ns.multi_step_tool = false %}
+            {%- set ns.last_query_index = index %}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+    {%- if _last_idx > 50 %}
+        {%- set ns.last_query_index = _last_idx %}
+    {%- else %}
+        {%- set ns.last_query_index = 0 %}
+    {%- endif %}
+{%- endif %}
+{%- set ns2 = namespace(prev_role='', consecutive_failures=0) %}
+{%- for message in _msgs %}
+    {%- set is_system = (message.role == "system" or message.role == "developer") %}
+    {%- set content = render_content(message.content, true, is_system) | trim %}
+    {%- if is_system or message.role == 'user' %}
+        {%- if '<|think_off|>' in content %}{%- set content = content.split('<|think_off|>') | join('') | trim %}{%- endif %}
+        {%- if '<|think_on|>' in content %}{%- set content = content.split('<|think_on|>') | join('') | trim %}{%- endif %}
+        {%- if '<|think_xhigh|>' in content %}{%- set content = content.split('<|think_xhigh|>') | join('') | trim %}{%- endif %}
+        {%- if '<|think_high|>' in content %}{%- set content = content.split('<|think_high|>') | join('') | trim %}{%- endif %}
+        {%- if '<|think_ultracode|>' in content %}{%- set content = content.split('<|think_ultracode|>') | join('') | trim %}{%- endif %}
+        {%- if '<|think_extreme|>' in content %}{%- set content = content.split('<|think_extreme|>') | join('') | trim %}{%- endif %}
+        {%- if '<|think_max|>' in content %}{%- set content = content.split('<|think_max|>') | join('') | trim %}{%- endif %}
+        {%- if '<|think_medium|>' in content %}{%- set content = content.split('<|think_medium|>') | join('') | trim %}{%- endif %}
+        {%- if '<|think_low|>' in content %}{%- set content = content.split('<|think_low|>') | join('') | trim %}{%- endif %}
+        {%- if '<|think_minimal|>' in content %}{%- set content = content.split('<|think_minimal|>') | join('') | trim %}{%- endif %}
+    {%- endif %}
+    {%- if is_system %}
+        {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+    {%- elif message.role == 'user' %}
+        {%- set ns2.consecutive_failures = 0 %}
+        {{- '<|im_start|>user\n' + content + '<|im_end|>\n' }}
+    {%- elif message.role == 'assistant' %}
+        {%- set reasoning_content = '' %}
+        {%- set _explicit_reasoning = '' %}
+        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}
+            {%- if message.reasoning_content is string %}
+                {%- set _explicit_reasoning = message.reasoning_content %}
+            {%- else %}
+                {%- set _explicit_reasoning = message.reasoning_content | string %}
+            {%- endif %}
+        {%- elif message.thinking is defined and message.thinking is not none %}
+            {%- if message.thinking is string %}
+                {%- set _explicit_reasoning = message.thinking %}
+            {%- else %}
+                {%- set _explicit_reasoning = message.thinking | string %}
+            {%- endif %}
+        {%- elif message.reasoning is defined and message.reasoning is not none %}
+            {%- if message.reasoning is string %}
+                {%- set _explicit_reasoning = message.reasoning %}
+            {%- else %}
+                {%- set _explicit_reasoning = message.reasoning | string %}
+            {%- endif %}
+        {%- endif %}
+        {%- if _explicit_reasoning %}
+            {%- set _lead_end = '' %}
+            {%- if content.startswith('<think>') and '</think>' in content %}
+                {%- set _lead_end = '</think>' %}
+            {%- elif content.startswith('<thinking>') and '</thinking>' in content %}
+                {%- set _lead_end = '</thinking>' %}
+            {%- elif content.startswith('</think>') %}
+                {%- set _lead_end = '</think>' %}
+            {%- elif content.startswith('</thinking>') %}
+                {%- set _lead_end = '</thinking>' %}
+            {%- endif %}
+            {%- if _lead_end %}
+                {%- set content = content.split(_lead_end)[-1].lstrip('\n') %}
+            {%- endif %}
+            {%- set reasoning_content = _explicit_reasoning %}
+        {%- else %}
+            {%- set _think_end = '' %}
+            {%- if content.startswith('</think>') %}
+                {%- set _think_end = '</think>' %}
+            {%- elif content.startswith('</thinking>') %}
+                {%- set _think_end = '</thinking>' %}
+            {%- elif '\n</think>' in content %}
+                {%- set _think_end = '\n</think>' %}
+            {%- elif '\n</thinking>' in content %}
+                {%- set _think_end = '\n</thinking>' %}
+            {%- elif '\n</ think>' in content %}
+                {%- set _think_end = '\n</ think>' %}
+            {%- elif '\n</think >' in content %}
+                {%- set _think_end = '\n</think >' %}
+            {%- elif content.startswith('<think>') and '</think>' in content %}
+                {%- set _think_end = '</think>' %}
+            {%- elif content.startswith('<thinking>') and '</thinking>' in content %}
+                {%- set _think_end = '</thinking>' %}
+            {%- endif %}
+            {%- if _think_end %}
+                {%- if 'thinking' in _think_end %}
+                    {%- set _think_start = '<thinking>' %}
+                {%- else %}
+                    {%- set _think_start = '<think>' %}
+                {%- endif %}
+                {%- set reasoning_content = content.split(_think_end)[0].rstrip('\n') %}
+                {%- if _think_start in reasoning_content %}
+                    {%- set reasoning_content = reasoning_content.split(_think_start)[-1].lstrip('\n') %}
+                {%- endif %}
+                {%- set content = content.split(_think_end)[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- set reasoning_content = reasoning_content | trim %}
+        {%- if (_preserve_thinking or loop.index0 > ns.last_query_index) %}
+            {{- '<|im_start|>assistant\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
+        {%- else %}
+            {{- '<|im_start|>assistant\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls is defined and message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if tool_call.function is defined and tool_call.function is not none %}
+                    {%- set tc = tool_call.function %}
+                {%- else %}
+                    {%- set tc = tool_call %}
+                {%- endif %}
+                {%- set tc_name = tc.name if (tc.name is defined and tc.name is not none) else '' %}
+                {%- if _tool_format == 'json' %}
+                    {%- if loop.first %}
+                        {%- if content | trim %}
+                            {{- '\n\n' }}
+                        {%- endif %}
+                    {%- else %}
+                        {{- '\n' }}
+                    {%- endif %}
+                    {%- set _args = '{}' %}
+                    {%- if tc.arguments is defined and tc.arguments is not none %}
+                        {%- if tc.arguments is mapping %}
+                            {%- set _args = tc.arguments | tojson %}
+                        {%- elif tc.arguments is string %}
+                            {%- if tc.arguments %}
+                                {%- set _args = tc.arguments %}
+                            {%- endif %}
+                        {%- else %}
+                            {%- set _args = tc.arguments | tojson %}
+                        {%- endif %}
+                    {%- endif %}
+                    {{- '<tool_call>\n{"name": ' }}{{- tc_name | tojson }}{{- ', "arguments": ' }}{{- _args }}{{- '}\n</tool_call>' }}
+                {%- else %}
+                    {%- if loop.first %}
+                        {%- if content | trim %}
+                            {{- '\n\n<tool_call>\n<function=' + tc_name + '>\n' }}
+                        {%- else %}
+                            {{- '<tool_call>\n<function=' + tc_name + '>\n' }}
+                        {%- endif %}
+                    {%- else %}
+                        {{- '\n<tool_call>\n<function=' + tc_name + '>\n' }}
+                    {%- endif %}
+                    {%- if tc.arguments is defined and tc.arguments is not none %}
+                        {%- if tc.arguments is mapping %}
+                            {%- for args_name, args_value in tc.arguments.items() %}
+                                {{- '<parameter=' + args_name + '>\n' }}
+                                {%- if args_value is string %}
+                                    {%- set _av = args_value %}
+                                {%- else %}
+                                    {%- set _av = args_value | tojson %}
+                                {%- endif %}
+                                {%- if max_tool_arg_chars > 0 and _av | length > max_tool_arg_chars %}
+                                    {{- _av[:max_tool_arg_chars] + '\n[TRUNCATED - original length ' ~ (_av | length | string) ~ ' chars]' }}
+                                {%- else %}
+                                    {{- _av }}
+                                {%- endif %}
+                                {{- '\n</parameter>\n' }}
+                            {%- endfor %}
+                        {%- else %}
+                            {%- if tc.arguments is string %}
+                                {%- set _raw_args = tc.arguments %}
+                            {%- else %}
+                                {%- set _raw_args = tc.arguments | tojson %}
+                            {%- endif %}
+                            {%- if _raw_args %}
+                                {%- if max_tool_arg_chars > 0 and _raw_args | length > max_tool_arg_chars %}
+                                    {{- _raw_args[:max_tool_arg_chars] + '\n[TRUNCATED - original length ' ~ (_raw_args | length | string) ~ ' chars]' }}
+                                {%- else %}
+                                    {{- _raw_args }}
+                                {%- endif %}
+                            {%- endif %}
+                        {%- endif %}
+                    {%- endif %}
+                    {{- '</function>\n</tool_call>' }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == 'tool' %}
+        {%- set _content_lower = content | lower %}
+        {%- set _content_head = _content_lower[:120] %}
+        {%- set _is_code_or_grep = ('throw new ' in _content_lower or 'throw error' in _content_lower or 'console.error' in _content_lower or 'logger.error' in _content_lower or 'logging.error' in _content_lower or 'import ' in _content_head or 'def ' in _content_head or 'function ' in _content_head) %}
+        {%- set _exit_code_zero = ('exit code: 0' in _content_head or 'process exited with code 0' in _content_head) %}
+        {%- set _error_field_ok = ('"error": null' in _content_head or '"error":null' in _content_head or '"error": false' in _content_head or '"error":false' in _content_head or '"error": ""' in _content_head or '"error":""' in _content_head) %}
+        {%- set _strong_error = (('"error":' in _content_head and not _error_field_ok) or '"status": "error"' in _content_head or '"status":"error"' in _content_head or 'traceback (most recent call last):' in _content_head or 'command not found' in _content_head or 'invalid syntax' in _content_head or 'fatal:' in _content_head or (('exit code: ' in _content_head or 'process exited with code' in _content_head) and not _exit_code_zero) or _content_head.startswith('exception:') or _content_head.startswith('failed to ')) %}
+        {%- set _weak_error = ('error:' in _content_head or 'err!' in _content_head) %}
+        {%- set _weak_suppressed = ('$ ' in _content_head or 'took ' in _content_head or content | length >= 600) %}
+        {%- if not _is_code_or_grep and (_strong_error or (_weak_error and not _weak_suppressed)) %}
+            {%- set ns2.consecutive_failures = ns2.consecutive_failures + 1 %}
+        {%- else %}
+            {%- set ns2.consecutive_failures = 0 %}
+        {%- endif %}
+        {%- if ns2.prev_role != 'tool' %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {%- set _is_json_payload = (_tool_format == 'json' and content | trim | length > 0 and (content | trim)[:1] in ('{', '[')) %}
+        {%- if not _is_json_payload and max_tool_response_chars > 0 and content | length > max_tool_response_chars %}
+            {%- set content = content[:max_tool_response_chars] + '\n[TRUNCATED - original length ' ~ (content | length | string) ~ ' chars]' %}
+        {%- endif %}
+        {{- '\n<tool_response>\n' + content }}
+        {%- if ns2.consecutive_failures >= 2 %}
+            {{- '\n\n⚠️ SYSTEM WARNING: ' ~ ns2.consecutive_failures ~ ' consecutive tool errors detected. Your previous approach is incorrect. You MUST use a fundamentally different approach or corrected arguments.' }}
+        {%- elif ns2.consecutive_failures == 1 %}
+            {{- '\n\n⚠️ SYSTEM WARNING: The previous tool call returned an error. Diagnose the failure and retry with completely corrected arguments.' }}
+        {%- endif %}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last %}
+            {{- '<|im_end|>\n' }}
+        {%- else %}
+            {%- set _next_role = _msgs[loop.index0 + 1].role %}
+            {%- if _next_role != 'tool' %}
+                {{- '<|im_end|>\n' }}
+            {%- endif %}
+        {%- endif %}
+    {%- else %}
+        {{- '<|im_start|>user\n[' + message.role + ']: ' + content + '<|im_end|>\n' }}
+    {%- endif %}
+    {%- set ns2.prev_role = message.role %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if not ns_state.thinking %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- else %}
+        {{- '<think>\n' }}
+    {%- endif %}
+{%- endif %}
@@ -0,0 +1,105 @@
+# qwen4exp-swift15-w4dn8-i8-hc8m.recipe -- the Swift 1.5 finetune of Qwen3.8-Flash-Next
+# (ukisai/Swift1.5-Qwen3.8-Flash-Next, BF16 source, 335.3 GiB, key set identical to the official
+# base) as a radiance container for frank-primary: EVERY routed expert -- gate_up AND down --
+# through GPTQ into the w4nl64a8h table. The plugin's one-table-one-encoding law
+# ("one table of experts takes one encoding, and only a whole expert kept plain bf16 is served
+# beside it", qwen4exp_fp8 rad_arch_declare) forbids the original split tier (down block-fp8 +
+# gate_up w4): the served kernel is w4nl64a8h for the whole expert set, bf16 experts beside it.
+# The rest is qwen4exp-w5dn64-i8-hc8m.recipe verbatim: int8 trunk linears, block-fp8 hc mixers
+# and MTP fc, the fixed-scale n-gram table, the 2-bit draft head.
+#
+# Why down is the calibrated half: the calibration tap rides the down projection, so its GPTQ
+# rounding propagates against real down-input Hessians; gate_up shares the same w4 table
+# uncalibrated. The published w5dn64 comparison (mean KL 0.0789 -> 0.0717, top-1 92.85% ->
+# 93.34%, decode +4%, prefill -19%) is the 5-bit upper bound; this tier trades part of that
+# quality back for prefill.
+#
+#   CALIB=DIR rad-convert <Swift1.5-Qwen3.8-Flash-Next checkpoint> \
+#       --recipe scripts/recipes/qwen4exp-swift15-w4dn8-i8-hc8m.recipe -o qwen4exp-swift15-w4dn8-i8-hc8m.rad
+#
+# DIR is the calibration directory the bf16 container wrote (RADIANCE_CALIB_DIR, 10M tokens of
+# traffic-shaped corpus). Everything not named here is served as the checkpoint holds it (bf16:
+# embeddings, the vision tower, the QSA indexer); the first rule that matches a weight decides it.
+# The bf16 container is NOT passed with --reuse: the peak-disk arithmetic does not fit (checkpoint +
+# container + container + output > purge-freed space), and --reuse only saves a re-read.
+
+# The protected experts, cast to bf16 ahead of both expert rules. THE NAMES BELOW ARE THE BASE
+# CHECKPOINT'S (from its 1M-token recording, qwen4exp-w5dn64-i8-hc8m.recipe) -- a warm start only.
+# The Swift 1.5 finetune's routing distribution is not assumed equal: the derivation step rewrites
+# this section from Swift's OWN calibration recording before this recipe is ever run, by the base's
+# law -- an expert whose share of its layer's down-input energy is at least 3% and at least three
+# times its share of the routing, an even count on each rank's half of the layer (the four-bit GEMM
+# takes the rest as two equal tables by parity) by adding that half's next most energetic expert.
+# PROTECTED-BEGIN (rewritten from Swift's OWN grams by derive-protected-experts.py)
+blk.1.ffn_*_exps.271.weight         cast dtype=bf16
+blk.1.ffn_*_exps.355.weight         cast dtype=bf16
+blk.2.ffn_*_exps.279.weight         cast dtype=bf16
+blk.2.ffn_*_exps.413.weight         cast dtype=bf16
+blk.34.ffn_*_exps.146.weight         cast dtype=bf16
+blk.34.ffn_*_exps.153.weight         cast dtype=bf16
+blk.34.ffn_*_exps.407.weight         cast dtype=bf16
+blk.34.ffn_*_exps.453.weight         cast dtype=bf16
+blk.37.ffn_*_exps.288.weight         cast dtype=bf16
+blk.37.ffn_*_exps.377.weight         cast dtype=bf16
+blk.38.ffn_*_exps.406.weight         cast dtype=bf16
+blk.38.ffn_*_exps.420.weight         cast dtype=bf16
+blk.42.ffn_*_exps.37.weight         cast dtype=bf16
+blk.42.ffn_*_exps.90.weight         cast dtype=bf16
+blk.42.ffn_*_exps.302.weight         cast dtype=bf16
+blk.42.ffn_*_exps.388.weight         cast dtype=bf16
+blk.44.ffn_*_exps.315.weight         cast dtype=bf16
+blk.44.ffn_*_exps.350.weight         cast dtype=bf16
+blk.46.ffn_*_exps.290.weight         cast dtype=bf16
+blk.46.ffn_*_exps.419.weight         cast dtype=bf16
+blk.47.ffn_*_exps.119.weight         cast dtype=bf16
+blk.47.ffn_*_exps.143.weight         cast dtype=bf16
+blk.47.ffn_*_exps.399.weight         cast dtype=bf16
+blk.47.ffn_*_exps.445.weight         cast dtype=bf16
+# PROTECTED-END
+# (derive-protected-experts.py rewrote this section from Swift's own grams)
+
+# Every other routed expert, trunk and MTP layer alike: u4 codes into the w4nl table, rotated by
+# the 128-wide Hadamard, an E4M3 scale a group of 64 under the fixed 2^-13 searched for least
+# error as stored, chosen by GPTQ against $CALIB and swept three times by coordinate descent.
+# The calibration Grams are down-input Hessians, so down is the calibrated half of the table;
+# gate_up has no recording of its own and quantises uncalibrated (said on stderr, as the base
+# recipe says). The MTP layer has no recording either. Expert mass: gate_up 150.00 GiB -> ~37.6,
+# down 75.00 GiB -> ~18.8: ~56 GiB of experts, ~28 GiB a rank at TP=2 -- well inside the pool.
+blk.*.ffn_*_exps.*.weight            gptq table=w4nl group=64 scale=fp8_e4m3 scale2=f32 block2=*x* scale2_value=0.0001220703125 transform=fwht128 rule=search cd=3 calib=$CALIB
+
+# Every connection's two mixing matrices -- the 96 trunk connections, the final mixer and the MTP
+# head's three -- as E4M3 rows with an f32 scale a group of each row. A 128x128 block cannot cover
+# them: lowrank is 320, 2.5 blocks. Down is [320, 10240] and takes a scale every 128 columns; up is
+# [10240, 320] and takes four scales a row, 80 columns each.
+*_hc_down.weight                     rtn  codes=fp8_e4m3 group=128 scale=f32
+*_hc_up.weight                       rtn  codes=fp8_e4m3 group=80 scale=f32
+
+# The MTP head's fc_hidden and fc_embedding, the same rows. They only ever change the drafts.
+mtp.fc_hidden.weight                 rtn  codes=fp8_e4m3 group=128 scale=f32
+mtp.fc_embedding.weight              rtn  codes=fp8_e4m3 group=128 scale=f32
+
+# The trunk's block linears as int8, a scale per 128 columns of a row searched for least error.
+# The QSA indexer's projection is not one of them: its top-k is a hard choice between blocks, and
+# keeping it as the checkpoint holds it costs 20 MB.
+blk.*.attn_qg.weight                 rtn  codes=i8 group=128 scale=bf16 clamp=sym rule=search
+blk.*.attn_k.weight                  rtn  codes=i8 group=128 scale=bf16 clamp=sym rule=search
+blk.*.attn_v.weight                  rtn  codes=i8 group=128 scale=bf16 clamp=sym rule=search
+blk.*.attn_output.weight             rtn  codes=i8 group=128 scale=bf16 clamp=sym rule=search
+blk.*.ssm_inz.weight                 rtn  codes=i8 group=128 scale=bf16 clamp=sym rule=search
+blk.*.ssm_out.weight                 rtn  codes=i8 group=128 scale=bf16 clamp=sym rule=search
+blk.*.ffn_gate_up_shexp.weight       rtn  codes=i8 group=128 scale=bf16 clamp=sym rule=search
+blk.*.ffn_down_shexp.weight          rtn  codes=i8 group=128 scale=bf16 clamp=sym rule=search
+
+# The lm_head, int8 with a bf16 scale a row per 128 columns (logits_gemm_i8): at E4M3 it costs
+# ~0.6 points of top-1 on its own.
+output.weight                        rtn  codes=i8 group=128 scale=bf16 clamp=sym rule=search
+
+# The n-gram table at one fixed E4M3 scale; qwen4exp-w4.recipe says where the value comes from.
+# The value sits on a three-octave plateau (2^-13..2^-10, rel_l2 0.02662) with 1.7x headroom over
+# the base table's absmax; the prep phase verifies Swift's PLE absmax lands inside the plateau
+# before this rule is trusted.
+blk.*.ple_ngram.weight               rtn  codes=fp8_e4m3 block=*x* scale=bf16 rule=fixed scale_value=1.99317932128906e-4
+
+# The MTP head's 2-bit draft head. INERT for this checkpoint: the HF weight map has no
+# mtp.draft_head.weight (same as the base), kept for shape parity with the family.
+mtp.draft_head.weight                rtn  codes=u2 zero=u8 group=128 scale=f16
@@ -0,0 +1,116 @@
+#!/usr/bin/env bash
+# run-swift15-bf16.sh — RUNS ON DANKSERVER. Boot the no-recipe bf16 Swift1.5
+# container for the two offline campaign phases. The engine owns the GPUs, so
+# the production unit must be stopped first (this script does it and restores
+# on exit, autoresearch pattern: stop, never mask — relinked unit).
+#
+#   kld    --kld-record the reference logits from the bf16 model
+#          (runs the corpus and EXITS; engine writes DIR and leaves)
+#   calib  serve with the calibration tap; a separate driver
+#          (scripts/calib-push.py) pushes the corpus; the engine writes the
+#          Hessians at RADIANCE_CALIB_TOKENS and the tap switches itself off.
+#          Stop this script after calib-push prints TAP_DONE.
+#
+# Shape = the vendor's bf16 calibration lines (GUIDE.md §4.3:528 + MOE-W4.md
+# "calibrate the checkpoint as it ships"): expert_tiered + weights-disk-tier,
+# no speculation, deterministic. Large prefill steps because a disk-tier step
+# costs the same at 1 token as at 32K. The container declared --max-ctx 4096;
+# --max-model-len 16384 exceeds it on purpose (the KLD prompts run to 12,007
+# tokens, calib to 8,242) — the boot ledger arbitrates the QSA buffers; if
+# declare refuses, re-convert with a wider --max-ctx.
+set -uo pipefail
+
+MODE="${1:?usage: run-swift15-bf16.sh kld|calib}"
+PIN_1013=sha256:4c3f484564bb2872784e46b0a59cbd71becc9c1e746e301a3596ffae253c322e
+PIN_120=sha256:665775ed1d90de6dbb25558e07fc60d20328f1346f96f3c6e00845eb763f01fa
+RAD=/home/dank/models/rad/qwen4exp-swift15-bf16.rad
+C=swift15ref
+LOG=/home/dank/logs/swift15_bf16.log
+KLD_REF_DIR=/home/dank/corpora/kld-ref
+CALIB_DIR=/home/dank/corpora/calib
+KLD_CORPUS=/home/dank/corpora/out/kld.jsonl
+
+restore() { sudo systemctl start frank-primary >/dev/null 2>&1 || true; }
+trap restore EXIT
+sudo systemctl stop frank-primary >/dev/null 2>&1 || true
+podman rm -f "$C" >/dev/null 2>&1 || true
+
+ARGS=(--model /models/rad/qwen4exp-swift15-bf16.rad
+      --tp 2 --placement expert_tiered --weights-disk-tier
+      --host-pool-mib 12288 --deterministic --gpu-headroom-mib 768
+      --num-speculative-tokens 0
+      --kv-cache-dtype fp8 --max-model-len 16384
+      --ngram-placement ram
+      --override-chat-template /models/tpl.jinja)
+
+case "$MODE" in
+  kld)
+    # 1.0.13: the engine that will serve the candidate — the reference is
+    # recorded on the same engine that scores it. The weights slab DERIVES as
+    # card - headroom - kv, and the disk tier refuses under 9.57 GiB (4.21 of
+    # layer buffers + 5.36 fixed), so kv is explicit SMALL: recording is
+    # prefill-only, self-batched at MNBT 32768 = two 16k prompts at a time;
+    # 4 slots x 16k fp8 (29 KiB/pos, 1.7 GiB) + headroom fits 3072.
+    IMAGE="stilldeadcode/radiance@$PIN_1013"
+    mkdir -p "$KLD_REF_DIR"
+    ARGS+=(--kld-record /data/kld-ref --kld-corpus /data/kld.jsonl
+           --vram-kv-mib 3072
+           --max-num-seqs 4 --max-num-batched-tokens 32768)
+    ;;
+  calib)
+    # 1.2.0: the calibration tap (RADIANCE_CALIB_DIR + RADIANCE_CALIB_TOKENS)
+    # lives in the 1.2.0 qwen4exp plugin; 1.0.13 has only the DIR half with an
+    # unparameterisable threshold. Grams are bf16 activations — engine-invariant.
+    # Same KV ceiling as kld: the disk-tier weights floor (9.57 GiB) plus
+    # ~18 GiB of fixed per-rank claims cap the pool near 3.5 GiB on a 32 GiB
+    # card — pool minus the 2.17 GiB fixed holds ~237k fp8 tokens a rank, so
+    # the vendor's big-step calibration shape is affordable: MOE-W4.md:244
+    # measures 640 tok/s at a 32k step against 930 at 55k, and the doc's own
+    # run drives MNBT 65536. 8 slots x 16k = 131k resident tokens fits the
+    # pool; the step batches 65k. KLD's observed rate confirmed step size,
+    # not slot count, is the throughput lever.
+    IMAGE="stilldeadcode/radiance@$PIN_120"
+    mkdir -p "$CALIB_DIR"
+    ARGS+=(--port 7770 --vram-kv-mib 3072
+           --max-num-seqs 8 --max-num-batched-tokens 65536
+           --prefix-cache-dir /data/calib-kvcache)
+    ;;
+  probe)
+    IMAGE="stilldeadcode/radiance@$PIN_1013"
+    ARGS+=(--port 7770 --max-num-seqs 8 --max-num-batched-tokens 4096)
+    ;;
+  *) echo "unknown mode: $MODE" >&2; exit 2 ;;
+esac
+
+# The prod template copy, readable from the container: mount the models tree
+# ro plus the state dir rw (KLD record + prefix tier land there).
+cp -f /home/dank/serverAppConfigs/scripts/qwen38-froggeric-v22.5.jinja \
+      /home/dank/models/tpl.jinja 2>/dev/null || true
+
+KLD_MOUNT=()
+if [ "$MODE" = kld ]; then
+    # Nested under the /data mount, so these must come after it (line order
+    # in podman run below): the corpus read-only, the record dir writable.
+    KLD_MOUNT=(-v "$KLD_CORPUS:/data/kld.jsonl:ro"
+               -v "$KLD_REF_DIR:/data/kld-ref")
+fi
+EXTRA_ENV=()
+if [ "$MODE" = calib ]; then
+    EXTRA_ENV=(-v "$CALIB_DIR:/data/calib"
+               -e RADIANCE_CALIB_DIR=/data/calib
+               -e RADIANCE_CALIB_TOKENS=10000000)
+fi
+
+podman run --rm --name "$C" \
+    --network host --init \
+    --security-opt seccomp=unconfined \
+    --ulimit memlock=-1:-1 \
+    --device /dev/kfd --device /dev/dri \
+    -v /home/dank/models:/models:ro \
+    -v /home/dank/radiance-state:/data \
+    "${KLD_MOUNT[@]}" \
+    "${EXTRA_ENV[@]}" \
+    "$IMAGE" "${ARGS[@]}" 2>&1 | tee "$LOG"
+rc=${PIPESTATUS[0]}
+echo "swift15-bf16 $MODE exited rc=$rc; log: $LOG"
+exit "$rc"
@@ -1,107 +1,200 @@
 #!/usr/bin/env bash
-# Serve unsloth/Qwen3.8-27B-GGUF:UD-Q8_K_XL as frank-large on
-# Dankclaw's Strix Halo iGPU (gfx1151), using stock llama.cpp
-# (mainline, the unsloth b11030 prebuilt).
+# serve-frank-large.sh — frank-large endpoint: halogen-flash-server 0.16.2
+# (closed-source engine, image ghcr.io/peonist-ai/halogen-flash-server,
+# digest-pinned in frank-large.env) serving the Quat3rnion abliterated
+# Swift1.5 finetune of peonist's Qwen3.8-Flash-Next v2 checkpoint on
+# Dankclaw's Strix Halo iGPU, host :7770. 2026-10-06 cutover from the
+# halogen 27B-dense shape — revert the swap commit's trio to roll back
+# (the 27B payload stays on disk).
 #
-# Runtime: /home/dank/GitPackages/unsloth-llama-b11030/llama-server
-# (mainline, ROCm gfx1151 prebuilt). The build supports the qwen3_5
-# architecture and the DFlash2 drafter (llama_model_qwen35,
-# llama_model_dflash, common_speculative_impl_draft_dflash).
+# The engine is driven by `podman run` DIRECTLY (the fleet's frank-primary
+# pattern): the image starts engine + OpenAI frontend in one container.
+# The frontend listens on 8731 inside (HALOGEN_API_PORT default) and is
+# published as host 7770; the engine's own token port (8730, no auth)
+# stays unpublished on the container's loopback. HALOGEN_CHECKPOINT
+# selects the file inside the /models mount; the n-gram lookup table
+# (HALOGEN_NGRAM_TABLE, the card sets it explicitly though the documented
+# fallback is "beside the checkpoint") and the vision tower
+# (HALOGEN_VISION_TOWER) ride in the same directory.
 #
-# Shape: one stream, full 262144 context (the model's native window), all
-# layers on the iGPU (--n-gpu-layers 999). The 27B dense model (31.46 GiB GGUF) + the
-# DFlash2 drafter (1.14 GiB) + q8_0 KV (~8.6 GiB) + compute buffers fits the
-# iGPU's GTT aperture (~114 GiB).
+# Gates mirror the deployer EXACTLY (the 2026-10-01 crash-loop lesson —
+# serve gate and deploy gate disagreeing = green deploy, red unit):
+# checkpoint/n-gram/vision byte-exact, tokenizer directory present with
+# every named file a FLAT REGULAR FILE (a HF cache snapshot's symlinks
+# into blobs/ dangle inside the mount), GPU device nodes present.
 #
-# Spec method: DFlash2 (a block-diffusion drafter) at depth 4. The drafter
-# has a sliding window of 2048 (small draft KV, ~40 MiB).
-#
-# KV: q8_0 quantized (--cache-type-k q8_0 --cache-type-v q8_0). The unsloth b11030
-# build does not support fp8 KV (allowed: f32/f16/bf16/q8_0/q4_0/q4_1/iq4_nl/q5_0/
-# q5_1); q8_0 is the highest-precision 8-bit option and preserves the ~8 GiB footprint.
-#
-# Text-only (no mmproj) — matching the prior frank-large.
-#
-# The Qwen3.8 family template keeps prior thinking blocks across turns when
-# preserve_thinking is set; pass --jinja and the kwarg so multi-turn agents
-# do not lose the trail. The template gates reasoning_effort to {xhigh,
-# medium, low} — the harness folds its levels onto that set in models.yml
-# (reasoningEffortMap).
-#
-# Tunables come from frank-large.env unless FRANK_LARGE_ENV_FILE overrides
-# it; anything not set there falls through to the defaults below.
+# Why containers instead of a bare binary: the payload is .hgn and only
+# the flash-server line reads it; it ships as a container; the root unit
+# keeps LimitMEMLOCK=infinity for parity and to outlive the login session,
+# exactly like frank-primary's.
 set -euo pipefail

-SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
 ENV_FILE="${FRANK_LARGE_ENV_FILE:-$SCRIPT_DIR/frank-large.env}"
-if [[ -f "$ENV_FILE" ]]; then
-    set -a
-    source "$ENV_FILE"
-    set +a
-fi
-
-# --- defaults (used when the env file does not set them) ------------------
-: "${RUNTIME_DIR:=/home/dank/GitPackages/unsloth-llama-b11030}"
-: "${MODEL_DIR:=/home/dank/models/Qwen3.8-27B-UD-Q8_K_XL}"
-: "${HOST:=0.0.0.0}"
-: "${PORT:=7770}"
-: "${CONTEXT_SIZE:=262144}"
-: "${PARALLEL_SLOTS:=1}"
-: "${SPEC_DRAFT_N_MAX:=4}"
-: "${CACHE_RAM:=8192}"
-TEMPLATE_FILE="${TEMPLATE_FILE:-$SCRIPT_DIR/qwen-sharp-v22.4.0.jinja}"
-
-SERVER_BIN="$RUNTIME_DIR/llama-server"
-MODEL_FILE="$MODEL_DIR/Qwen3.8-27B-UD-Q8_K_XL.gguf"
-DRAFTER_FILE="$MODEL_DIR/Qwen3.8-27B-DFlash2-Q4_K_M.gguf"
-
-if [[ ! -x "$SERVER_BIN" ]]; then
-    echo "runtime not found at $SERVER_BIN" >&2
+if [ ! -f "$ENV_FILE" ]; then
+    echo "frank-large: env file not found: $ENV_FILE" >&2
    exit 1
 fi
-for f in "$MODEL_FILE" "$DRAFTER_FILE"; do
-    if [[ ! -f "$f" ]]; then
-        echo "missing asset $f (run scripts/download-frank-large.sh)" >&2
+set -a
+# shellcheck disable=SC1090
+source "$ENV_FILE"
+set +a
+
+: "${FRANK_LARGE_IMAGE:?FRANK_LARGE_IMAGE must name the digest-pinned image}"
+: "${FRANK_LARGE_CONTAINER:?FRANK_LARGE_CONTAINER must name the container}"
+: "${FRANK_LARGE_PUBLISH:?FRANK_LARGE_PUBLISH must be host:container}"
+: "${FRANK_LARGE_MODEL_DIR:?FRANK_LARGE_MODEL_DIR must name the payload dir}"
+: "${FRANK_LARGE_CHECKPOINT:?FRANK_LARGE_CHECKPOINT must name the .hgn inside it}"
+: "${FRANK_LARGE_CHECKPOINT_BYTES:?FRANK_LARGE_CHECKPOINT_BYTES must pin the size}"
+: "${FRANK_LARGE_NGRAM_TABLE:?FRANK_LARGE_NGRAM_TABLE must name the lookup table}"
+: "${FRANK_LARGE_NGRAM_BYTES:?FRANK_LARGE_NGRAM_BYTES must pin the table size}"
+: "${FRANK_LARGE_VISION_TOWER:?FRANK_LARGE_VISION_TOWER must name the tower}"
+: "${FRANK_LARGE_VISION_BYTES:?FRANK_LARGE_VISION_BYTES must pin the tower size}"
+: "${FRANK_LARGE_TOKENIZER_FILES:?FRANK_LARGE_TOKENIZER_FILES must list the tokenizer dir contents}"
+: "${HALOGEN_MODEL_ID:?HALOGEN_MODEL_ID must be the served alias (frank-dragoon)}"
+: "${HALOGEN_CTX:?HALOGEN_CTX must be set (per-slot window)}"
+: "${HALOGEN_KV_POOL_POSITIONS:?HALOGEN_KV_POOL_POSITIONS must be set}"
+: "${HALOGEN_KV_SLOTS:?HALOGEN_KV_SLOTS must be set}"
+: "${HALOGEN_SPEC_ADAPT:?HALOGEN_SPEC_ADAPT must be set (0 = head always on)}"
+
+# Capture podman's output BEFORE grepping: under `set -o pipefail` the
+# `podman images | grep -q` pattern races (grep exits on first match,
+# podman dies SIGPIPE 141, pipefail turns the 141 into "no match" — the
+# 2026-09-30 deploy refusal).
+DIGESTS="$(podman images --format '{{.RepoDigests}}')"
+if ! grep -qF "${FRANK_LARGE_IMAGE#*@}" <<<"$DIGESTS"; then
+    echo "frank-large: image $FRANK_LARGE_IMAGE not in podman storage;" >&2
+    echo "  pull it: podman pull ${FRANK_LARGE_IMAGE%@*}" >&2
+    exit 1
+fi
+
+# Size-exact gates on all three payload files: a truncated curl exits 0 on
+# some failures and a partial .hgn loads far enough to look alive, so the
+# byte counts from the Hub tree API are the contract (fleet fetch law).
+ck() {
+    # ck <env-name> <path> <expected-bytes>
+    if [ ! -f "$2" ]; then
+        echo "frank-large: $1 $2 missing;" >&2
+        echo "  fetch it: bash scripts/download-frank-large-flashnext.sh" >&2
+        exit 1
+    fi
+    local sz
+    sz="$(stat -c %s "$2")"
+    if [ "$sz" != "$3" ]; then
+        echo "frank-large: $1 is $sz bytes, expected $3 (partial download?)" >&2
+        exit 1
+    fi
+}
+ck checkpoint "$FRANK_LARGE_MODEL_DIR/$FRANK_LARGE_CHECKPOINT" "$FRANK_LARGE_CHECKPOINT_BYTES"
+ck n-gram-table "$FRANK_LARGE_MODEL_DIR/$FRANK_LARGE_NGRAM_TABLE" "$FRANK_LARGE_NGRAM_BYTES"
+ck vision-tower "$FRANK_LARGE_MODEL_DIR/$FRANK_LARGE_VISION_TOWER" "$FRANK_LARGE_VISION_BYTES"
+
+# The payload ships the tokenizer as a FLAT DIRECTORY. A HuggingFace cache
+# snapshot symlinks each file into a sibling blobs/, and those symlinks
+# dangle inside the container mount — so the directory must be real and
+# every named file must be a regular file, not a link.
+TOK_DIR="$FRANK_LARGE_MODEL_DIR/tokenizer"
+if [ -L "$TOK_DIR" ] || [ ! -d "$TOK_DIR" ]; then
+    echo "frank-large: tokenizer dir $TOK_DIR missing or a symlink (HF cache snapshot?);" >&2
+    echo "  fetch it: bash scripts/download-frank-large-flashnext.sh" >&2
+    exit 1
+fi
+for TF in $FRANK_LARGE_TOKENIZER_FILES; do
+    if [ ! -f "$TOK_DIR/$TF" ] || [ -L "$TOK_DIR/$TF" ]; then
+        echo "frank-large: tokenizer file $TOK_DIR/$TF missing or a symlink;" >&2
+        echo "  fetch it: bash scripts/download-frank-large-flashnext.sh" >&2
        exit 1
    fi
 done

-# --- env (the unsloth build's ROCm setup) --------------------------------
-export HIP_VISIBLE_DEVICES=0
-export HSA_OVERRIDE_GFX_VERSION=11.5.1
-export LD_LIBRARY_PATH="/opt/rocm/lib:/opt/rocm/llvm/lib:${LD_LIBRARY_PATH:-}"
+# GPU access is mandatory but the node paths are variables so the seam can
+# drive the gate on a box without an AMD GPU.
+DEV_KFD="${FRANK_LARGE_DEV_KFD:-/dev/kfd}"
+DEV_DRI="${FRANK_LARGE_DEV_DRI:-/dev/dri}"
+if [ ! -e "$DEV_KFD" ] || [ ! -d "$DEV_DRI" ]; then
+    echo "frank-large: $DEV_KFD or $DEV_DRI missing — no gfx1151 to serve on" >&2
+    exit 1
+fi
+# Host-RAM preflight — the engine's pin gate, checked BEFORE podman run.
+# The engine refuses to pin when MemAvailable is below the checkpoint plus
+# a 16 GiB floor: pinned pages cannot be swapped, and under the floor the
+# n-gram lookup pages in from disk on every long prompt. A RAM-short host
+# (a co-tenant spike, a sibling engine dying) crash-loops the unit — each
+# boot dies in ~5 s at the pin gate — until the RAM clears. The 2026-10-06
+# cutover hit this: 8 boots, MemAvailable 74.77 GiB vs the 78.11 GiB needed,
+# self-resolved in ~2 min when the dying 27B engine freed RAM. Check here and
+# WAIT for the RAM to clear, so a transient dip boots once instead of
+# crash-looping; if it never clears, refuse loudly.
+MEMINFO="${FRANK_LARGE_MEMINFO:-/proc/meminfo}"
+PIN_KB=$(( FRANK_LARGE_CHECKPOINT_BYTES / 1024 ))
+NEED_KB=$(( PIN_KB + 16 * 1048576 ))
+ram_avail_kb() { awk '/^MemAvailable:/{print $2; exit}' "$MEMINFO"; }
+MEMAVAIL_KB="$(ram_avail_kb)" || MEMAVAIL_KB=""
+if [ -n "$MEMAVAIL_KB" ] && [ "$MEMAVAIL_KB" -lt "$NEED_KB" ]; then
+    WAIT_S="${FRANK_LARGE_RAM_WAIT:-600}"
+    GIB() { awk -v kb="$1" 'BEGIN{printf "%.2f", kb/1048576}'; }
+    echo "frank-large: host RAM below the pin gate — MemAvailable $(GIB "$MEMAVAIL_KB") GiB < needed $(GIB "$NEED_KB") GiB ($(GIB "$PIN_KB") GiB checkpoint + 16.00 GiB floor); waiting up to ${WAIT_S}s for host RAM to clear" >&2
+    deadline=$(( $(date +%s) + WAIT_S ))
+    while [ "$(date +%s)" -lt "$deadline" ]; do
+        sleep 5
+        MEMAVAIL_KB="$(ram_avail_kb)" || MEMAVAIL_KB=""
+        if [ -n "$MEMAVAIL_KB" ] && [ "$MEMAVAIL_KB" -ge "$NEED_KB" ]; then
+            break
+        fi
+    done
+    if [ -z "$MEMAVAIL_KB" ] || [ "$MEMAVAIL_KB" -lt "$NEED_KB" ]; then
+        echo "frank-large: MemAvailable $(GIB "${MEMAVAIL_KB:-0}") GiB after ${WAIT_S}s; refusing to start (the engine would refuse the pin)" >&2
+        exit 1
+    fi
+    echo "frank-large: MemAvailable cleared to $(GIB "$MEMAVAIL_KB") GiB; starting" >&2
+fi
+for CTR in ${FRANK_LARGE_LEGACY_CONTAINERS:-} "$FRANK_LARGE_CONTAINER"; do
+    podman rm -f "$CTR" >/dev/null 2>&1 || true
+done

-# --- the serve command ---------------------------------------------------
-ARGS=(
-    --host "$HOST"
-    --port "$PORT"
-    --model "$MODEL_FILE"
-    --alias frank-large
-    --ctx-size "$CONTEXT_SIZE"
-    --parallel "$PARALLEL_SLOTS"
-    --n-gpu-layers 999
-    --jinja
-    --metrics
-    --chat-template-file "$TEMPLATE_FILE"
-    --chat-template-kwargs '{"preserve_thinking":true}'
-    --cache-type-k q8_0
-    --cache-type-v q8_0
-    --cache-ram "$CACHE_RAM"
-    # DFlash2 spec decode (a block-diffusion drafter)
-    --spec-type draft-dflash
-    --model-draft "$DRAFTER_FILE"
-    --spec-draft-n-max "$SPEC_DRAFT_N_MAX"
-    --spec-draft-n-min 0
-    --spec-draft-device ROCm0
-    # Greedy sampling (the DFlash2 drafter needs greedy verification)
-    --temp 0
-    --top-p 1.0
-    --top-k 0
-    --min-p 0.0
-    # Reasoning (thoughts land in reasoning_content)
-    --reasoning auto
-    --reasoning-format deepseek
-    --reasoning-budget -1
-)
+LOG="${FRANK_LARGE_LOG:-/home/dank/logs/frank_large.log}"
+mkdir -p "$(dirname "$LOG")"
+# --ipc=host for the udev-granted supplementary group, seccomp unconfined
+# for the ROCm ioctl surface, and unbounded memlock (the unit's
+# LimitMEMLOCK=infinity is inherited, so runc never has to RAISE it). NO
+# --ulimit nofile: Dankclaw's hard limit is 524288, rootless runc cannot
+# raise a hard limit and dies with "error setting rlimit type 7:
+# operation not permitted" (measured 2026-10-05 cutover); the model card
+# and both sibling serve scripts pass no nofile either. No comment lines
+# inside the backslash chain — a mid-chain # terminates the continuation
+# (the 2026-10-05 exit-127 crash loop on the sibling serve script).
+podman run --name "$FRANK_LARGE_CONTAINER" \
+  --publish "$FRANK_LARGE_PUBLISH" \
+  --ipc=host \
+  --ulimit memlock=-1:-1 \
+  --device "$DEV_KFD" --device "$DEV_DRI" \
+  --group-add keep-groups \
+  --security-opt seccomp=unconfined \
+  -e HALOGEN_MODEL_ID="$HALOGEN_MODEL_ID" \
+  -e HALOGEN_CHECKPOINT="/models/$FRANK_LARGE_CHECKPOINT" \
+  -e HALOGEN_NGRAM_TABLE="/models/$FRANK_LARGE_NGRAM_TABLE" \
+  -e HALOGEN_VISION_TOWER="/models/$FRANK_LARGE_VISION_TOWER" \
+  -e HALOGEN_TOKENIZER=/tokenizer \
+  -e HALOGEN_CTX="$HALOGEN_CTX" \
+  -e HALOGEN_KV_POOL_POSITIONS="$HALOGEN_KV_POOL_POSITIONS" \
+  -e HALOGEN_KV_SLOTS="$HALOGEN_KV_SLOTS" \
+  -e HALOGEN_HOST_RESERVE_GIB="${HALOGEN_HOST_RESERVE_GIB:-20}" \
+  -e HALOGEN_SPEC_ADAPT="$HALOGEN_SPEC_ADAPT" \
+  -e HALOGEN_MAX_TOK="${HALOGEN_MAX_TOK:-8192}" \
+  -e HALOGEN_MAX_TOKENS_CAP="${HALOGEN_MAX_TOKENS_CAP:-65536}" \
+  -e HALOGEN_QUEUE_TIMEOUT="${HALOGEN_QUEUE_TIMEOUT:-7200}" \
+  -e HALOGEN_TEMPERATURE="${HALOGEN_TEMPERATURE:-1.0}" \
+  -e HALOGEN_TOP_P="${HALOGEN_TOP_P:-0.95}" \
+  -e HALOGEN_TOP_K="${HALOGEN_TOP_K:-20}" \
+  ${HALOGEN_WEIGHTS_LOCK:+-e HALOGEN_WEIGHTS_LOCK="$HALOGEN_WEIGHTS_LOCK"} \
+  -v "$FRANK_LARGE_MODEL_DIR:/models:ro" \
+  -v "$FRANK_LARGE_MODEL_DIR/tokenizer:/tokenizer:ro" \
+  "$FRANK_LARGE_IMAGE" \
+  > "$LOG" 2>&1

-exec "$SERVER_BIN" "${ARGS[@]}"
+# FOREGROUND `podman run`: the engine's stdout/stderr are this script's
+# output, so the boot ledger (kv pool, prompt cache, MTP head, any clamp)
+# lands in $LOG as documented. podman run returns the container's exit
+# code, so a crash is a nonzero ExecStart and the unit's Restart=always
+# stays real; systemd stop goes through the unit's ExecStop and the run
+# client forwards SIGTERM to the engine, which drains on it.
@@ -1,37 +1,33 @@
 #!/usr/bin/env bash
-# serve-frank-primary.sh — frank-primary endpoint (R9V radiance-vLLM fork,
-# unsloth Qwen3.8-Flash-Next Q8_0 + MTP4 drafter, 2x R9700, dankserver
-# :7770; 2026-09-27 cutover from the uncensored IQ4_XS payload, whose state
-# dir stays on disk as the rollback target).
+# serve-frank-primary.sh — frank-primary endpoint: radiance (StillDeadcode,
+# Apache-2.0) serving the OFFICIAL Qwen/Qwen3.8-Flash-Next-FP8 checkpoint at
+# NATIVE block-FP8 precision from a rad-convert container
+# (/home/dank/models/rad/qwen4exp-fp8-native.rad), on BOTH R9700s (TP=2,
+# wht6 wire), dankserver :7770. 2026-10-05 cutover from FreeToken (PR #587,
+# one card; git tag frank-primary-freetoken-pr587-20261005 is the
+# pre-cutover state).
 #
-# The engine is the upstream R9V launcher (scripts/launch.sh in the fork
-# checkout), NOT a hand-frozen podman argv: launch.sh owns the resolved
-# docker/podman args (binds, overlays, device passthrough, publish lines)
-# and the fork's qualification was measured through it. This script's job:
-#
-#   1. layer the on-host R9V setup state (the 104-key tuned shape the
-#      profile setup qualified) under this repo's frank-primary.env
-#      overrides (bind/port/alias/container);
-#   2. gate on the pinned runtime image (by its OCI manifest digest, the
-#      podman RepoDigest), the exact-size PLE payload, and the GGUF shards;
-#   3. exec the launcher, then wait on the container: launch.sh --detach
-#      exits as soon as the container is created, so without the wait the
-#      unit would be "green" while the engine crashes — the wait is what
-#      keeps systemd's Restart=on-failure self-healing real.
+# The run line below IS the engine argv: the image's entrypoint is the
+# engine and its tools sit beside it on PATH. Unlike every predecessor
+# there is no per-boot VRAM planner to second-guess: the boot ledger in the
+# log states every budget before anything is allocated (weights vs KV
+# split, the expert host pool's coverage of the worst case, the PLE pin,
+# the P2P answer per pair) — read it after every resize. First-boot shape:
+# 2 decode slots (Frank's call), 40 GiB/rank pinned expert pool, fp8 KV,
+# MTP depth 3, prefix cache host 4 GiB + disk 64 GiB, PLE pinned in RAM.
 #
 # The root unit (scripts/frank-primary.service, User=dank,
-# LimitMEMLOCK=infinity) grants the pin budget for the tiered-expert UVA
-# host copy and the PLE pinned residency (54.4 GB on the q8 payload). A
-# plain shell session also works (proven 2026-09-27: podman rootless
-# inherits usable limits here), but the unit is the fleet-parity
-# boot-persistent shape.
+# LimitMEMLOCK=infinity) grants the pin budget: 2 x 40 GiB expert pools +
+# the 47.7 GiB PLE table + 4 GiB prefix host tier — ~132 GiB of pinned
+# pages, which is ALSO why this script refuses to start when ttm's
+# pages_limit/pages_max cap is under FRANK_PRIMARY_TTM_MIN_MIB (see below).
 set -euo pipefail

 SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
 ENV_FILE="${FRANK_PRIMARY_ENV_FILE:-$SCRIPT_DIR/frank-primary.env}"

 if [ ! -f "$ENV_FILE" ]; then
-    echo "serve-frank-primary: env file missing: $ENV_FILE" >&2
+    echo "ERROR: frank-primary env file absent: $ENV_FILE" >&2
    exit 1
 fi
 set -a
@@ -39,104 +35,172 @@ set -a
 source "$ENV_FILE"
 set +a

-: "${R9V_HOME:?R9V_HOME must name the fork checkout}"
-: "${R9V_STATE_FILE:?R9V_STATE_FILE must name the setup state}"
-: "${R9V_HOST_BIND:?R9V_HOST_BIND must be set}"
-: "${R9V_HOST_PORT:?R9V_HOST_PORT must be set}"
-: "${R9V_SERVED_MODEL_NAME:?R9V_SERVED_MODEL_NAME must be set}"
-: "${R9V_CONTAINER_NAME:?R9V_CONTAINER_NAME must be set}"
+: "${FRANK_PRIMARY_IMAGE:?FRANK_PRIMARY_IMAGE must name the radiance image}"
+: "${FRANK_PRIMARY_MODEL_DIR:?FRANK_PRIMARY_MODEL_DIR must name the .rad dir}"
+: "${FRANK_PRIMARY_MODEL_FILE:?FRANK_PRIMARY_MODEL_FILE must name the .rad file}"
+: "${FRANK_PRIMARY_STATE_DIR:?FRANK_PRIMARY_STATE_DIR must name the /data state dir}"
+: "${FRANK_PRIMARY_CONTAINER:?FRANK_PRIMARY_CONTAINER must name the container}"
+: "${FRANK_PRIMARY_SERVED_NAME:?FRANK_PRIMARY_SERVED_NAME must name the alias}"
+: "${FRANK_PRIMARY_PORT:?FRANK_PRIMARY_PORT must be the port}"
+: "${FRANK_PRIMARY_TEMPLATE:?FRANK_PRIMARY_TEMPLATE must name the chat template}"
+: "${FRANK_PRIMARY_TP:?FRANK_PRIMARY_TP must be set}"
+: "${FRANK_PRIMARY_TP_WIRE:?FRANK_PRIMARY_TP_WIRE must be set}"
+: "${FRANK_PRIMARY_MAX_SEQS:?FRANK_PRIMARY_MAX_SEQS must be set}"
+: "${FRANK_PRIMARY_MAX_MODEL_LEN:?FRANK_PRIMARY_MAX_MODEL_LEN must be set}"
+: "${FRANK_PRIMARY_PLACEMENT:?FRANK_PRIMARY_PLACEMENT must be set}"
+: "${FRANK_PRIMARY_HOST_POOL_MIB:?FRANK_PRIMARY_HOST_POOL_MIB must be set}"
+: "${FRANK_PRIMARY_GPU_HEADROOM_MIB:?FRANK_PRIMARY_GPU_HEADROOM_MIB must be set}"
+: "${FRANK_PRIMARY_VRAM_WEIGHTS_MIB:?FRANK_PRIMARY_VRAM_WEIGHTS_MIB must be set}"
+: "${FRANK_PRIMARY_VRAM_KV_MIB:?FRANK_PRIMARY_VRAM_KV_MIB must be set}"
+: "${FRANK_PRIMARY_KV_DTYPE:?FRANK_PRIMARY_KV_DTYPE must be set}"
+: "${FRANK_PRIMARY_SPEC_TOKENS:?FRANK_PRIMARY_SPEC_TOKENS must be set}"
+: "${FRANK_PRIMARY_MAX_BATCHED_TOKENS:?FRANK_PRIMARY_MAX_BATCHED_TOKENS must be set}"
+: "${FRANK_PRIMARY_PREFIX_HOST_MIB:?FRANK_PRIMARY_PREFIX_HOST_MIB must be set}"
+: "${FRANK_PRIMARY_PREFIX_DISK_MIB:?FRANK_PRIMARY_PREFIX_DISK_MIB must be set}"
+: "${FRANK_PRIMARY_NGRAM_PLACEMENT:?FRANK_PRIMARY_NGRAM_PLACEMENT must be set}"
+: "${FRANK_PRIMARY_TTM_MIN_MIB:?FRANK_PRIMARY_TTM_MIN_MIB must be set}"
+: "${FRANK_PRIMARY_RAD_MIN_MIB:?FRANK_PRIMARY_RAD_MIN_MIB must be set}"

-LAUNCHER="$R9V_HOME/scripts/launch.sh"
-if [ ! -x "$LAUNCHER" ]; then
-    echo "serve-frank-primary: R9V launcher missing: $LAUNCHER" >&2
+# The image gate is the digest-pinned ref itself: a name@sha256 ref exists
+# in storage only if THAT manifest was pulled — a retagged look-alike or a
+# newer latest does not satisfy it. `podman image exists` takes a
+# name@digest ref in one command — no pipefail/grep race (the 2026-09-30
+# lesson). Runs as dank: the unit's process uses dank's ROOTLESS podman
+# storage (root unit, User=dank — the fleet's frank-primary shape).
+if ! podman image exists "$FRANK_PRIMARY_IMAGE"; then
+    echo "ERROR: radiance image absent: $FRANK_PRIMARY_IMAGE" >&2
+    echo "frank-primary: podman pull docker://stilldeadcode/radiance:latest (as dank)" >&2
    exit 1
 fi

-# The docker->podman shim is REQUIRED: the launcher and its doctor speak
-# docker (OCI-manifest-digest image IDs, LogConfig fields) that podman's
-# native CLI answers differently. The shim carries those laws.
-SHIM_DIR="$R9V_HOME/.podman-shim"
-if [ ! -x "$SHIM_DIR/docker" ]; then
-    echo "serve-frank-primary: docker->podman shim missing: $SHIM_DIR/docker" >&2
+# The payload gate: the .rad container file, sized. A truncated convert
+# would otherwise buy a guaranteed long-timeout boot instead of this fast
+# failure. The staging dir / raw checkpoint are NOT this script's concern
+# (scripts/build-frank-primary-rad.sh built the file; its rad-info output
+# is the record).
+RAD="$FRANK_PRIMARY_MODEL_DIR/$FRANK_PRIMARY_MODEL_FILE"
+if [ ! -f "$RAD" ]; then
+    echo "ERROR: .rad container missing: $RAD" >&2
+    echo "frank-primary: run scripts/build-frank-primary-rad.sh" >&2
    exit 1
 fi
-export PATH="$SHIM_DIR:$PATH"
-
-# --- layer 1: the qualified setup state (production overrides never come
-# from here; keys already defined in the env file are skipped) -------------
-STATE_FILE="$R9V_STATE_FILE"
-if [ ! -f "$STATE_FILE" ]; then
-    echo "serve-frank-primary: R9V setup state missing: $STATE_FILE" >&2
-    echo "  run the profile setup first (tools/setup_profile.py setup --state-dir ...)" >&2
-    exit 1
-fi
-STATE_EXPORTS="$(python3 - "$STATE_FILE" <<'PY'
-import json, shlex, sys, os
-state = json.load(open(sys.argv[1]))
-config = state.get("config") or {}
-if state.get("ready") is not True:
-    sys.exit("R9V setup state is not ready; rerun setup before serving")
-env_keys = {k for k in os.environ if k.startswith("R9V_")}
-for key in sorted(config):
-    if key.startswith("R9V_") and key not in env_keys:
-        print(f"export {key}={shlex.quote(config[key])}")
-PY
-)"
-eval "$STATE_EXPORTS"
-
-: "${R9V_IMAGE:?state must carry R9V_IMAGE}"
-: "${R9V_MODEL_DIR:?state must carry R9V_MODEL_DIR}"
-: "${R9V_PLE_PATH:?state must carry R9V_PLE_PATH}"
-
-# --- gates: never serve a half-finished payload or a missing image --------
-# Runtime image by pinned OCI manifest digest (podman keys images by config
-# digest but preserves the manifest digest in RepoDigests — the shim's ID law).
-if ! podman images --format '{{.RepoDigests}}' | grep -qF "${R9V_IMAGE#sha256:}"; then
-    echo "serve-frank-primary: pinned R9V image absent: $R9V_IMAGE" >&2
-    echo "  load the pinned image bundle into podman rootless storage" >&2
+RAD_MIB=$(( $(stat -c %s "$RAD") / 1048576 ))
+if [ "$RAD_MIB" -lt "$FRANK_PRIMARY_RAD_MIN_MIB" ]; then
+    echo "ERROR: .rad container too small: $RAD is ${RAD_MIB} MiB, want >= $FRANK_PRIMARY_RAD_MIN_MIB" >&2
+    echo "frank-primary: the convert was truncated — rebuild it" >&2
    exit 1
 fi

-# PLE payload at its pinned byte count (stat -c %s, never wc -c), plus the
-# six target GGUF shards (mradermacher-style split parts) and the mmproj
-# the launcher mounts.
-PLE_BYTES="${R9V_PLE_EXPECTED_BYTES:-}"
-if [ -n "$PLE_BYTES" ]; then
-    ACTUAL="$(stat -c %s "$R9V_PLE_PATH" 2>/dev/null || echo 0)"
-    if [ "$ACTUAL" != "$PLE_BYTES" ]; then
-        echo "serve-frank-primary: PLE payload wrong size: $R9V_PLE_PATH" >&2
-        echo "  expected $PLE_BYTES, found $ACTUAL" >&2
-        exit 1
-    fi
-else
-    if [ ! -f "$R9V_PLE_PATH" ]; then
-        echo "serve-frank-primary: PLE payload missing: $R9V_PLE_PATH" >&2
-        exit 1
-    fi
+if [ ! -f "$FRANK_PRIMARY_TEMPLATE" ]; then
+    echo "ERROR: chat template missing: $FRANK_PRIMARY_TEMPLATE" >&2
+    exit 1
 fi
-for rel in "$R9V_TARGET_REL" "${R9V_TARGET_SHARD2_REL:-}" "${R9V_TARGET_SHARD3_REL:-}" \
-    "${R9V_TARGET_SHARD4_REL:-}" "${R9V_TARGET_SHARD5_REL:-}" "${R9V_TARGET_SHARD6_REL:-}" \
-    "$R9V_MMPROJ_REL"; do
-    if [ -z "$rel" ]; then continue; fi
-    if [ ! -f "$R9V_MODEL_DIR/$rel" ]; then
-        echo "serve-frank-primary: payload file missing: $R9V_MODEL_DIR/$rel" >&2
-        exit 1
-    fi
-done
+
+mkdir -p "$FRANK_PRIMARY_STATE_DIR/kvcache/frank-primary"
+# The engine's create is NOT recursive: with only the state dir mounted, its
+# "cannot create /data/kvcache/frank-primary: No such file or directory"
+# left the SSD prefix tier off (measured 2026-10-06 boot ledger). Pre-create
+# the full path on the host so the tier opens on first boot.
+
+mkdir -p "$FRANK_PRIMARY_STATE_DIR/tune"
+# rad-tune's kernel-selection cache (see the runbook's "Tuning levers"):
+# the engine's selector reads $RADIANCE_HOME/tune/<machine>.tune at boot;
+# $RADIANCE_HOME defaults to /opt/radiance, which lives in the image, so
+# the cache must ride a host mount or it dies with the --rm container
+# that wrote it. The dir is pre-created for the same reason as kvcache
+# (the engine's create is not recursive).

 if [ ! -e /dev/kfd ] || [ ! -d /dev/dri ]; then
-    echo "serve-frank-primary: GPU device nodes absent (/dev/kfd, /dev/dri)" >&2
+    echo "ERROR: GPU device nodes absent (/dev/kfd, /dev/dri)" >&2
+    exit 1
+fi
+
+# TTM preflight: the pinned ledger (~2 x 40 GiB pools + 47.7 GiB PLE + 4 GiB
+# prefix host = ~132 GiB) rides TTM's shared pages, capped by ttm's
+# pages_limit (the current kernel exposes NO pages_max; the cap function
+# takes the min over the knobs that exist). Below FRANK_PRIMARY_TTM_MIN_MIB
+# the load dies mid-pin with an allocator error instead of this named
+# refusal — raise the knob first (runtime sysfs write; kernel cmdline
+# fallback + one reboot only if the file is read-only), see the runbook.
+# RAISED 2026-10-05 pre-cutover to 52,428,800 pages = 200 GiB.
+ttm_cap_mib() {
+    # min over the knobs THIS kernel exposes — the current kernel has
+    # pages_limit only (no pages_max); a knob that is absent is skipped,
+    # not a zero (a zero would refuse a healthy cap).
+    local v cur=""
+    for p in /sys/module/ttm/parameters/pages_limit /sys/module/ttm/parameters/pages_max; do
+        [ -r "$p" ] || continue
+        v="$(cat "$p" 2>/dev/null)" || continue
+        [ -n "$v" ] || continue
+        v=$(( v * 4 / 1024 ))
+        if [ "$v" -lt "${cur:-999999999}" ]; then cur=$v; fi
+    done
+    echo "${cur:-0}"
+}
+TTM_CAP="$(ttm_cap_mib)"
+if [ "$TTM_CAP" -lt "$FRANK_PRIMARY_TTM_MIN_MIB" ]; then
+    echo "ERROR: ttm pages cap is ${TTM_CAP} MiB, the pinned ledger needs >= $FRANK_PRIMARY_TTM_MIN_MIB" >&2
+    echo "frank-primary: raise /sys/module/ttm/parameters/pages_limit (and pages_max if the kernel exposes one) to >= $FRANK_PRIMARY_TTM_MIN_MIB in 4 KiB pages" >&2
    exit 1
 fi

 # A crashed/killed unit can leave the container name registered (systemd
-# SIGKILLs conmon before cleanup runs); the launcher refuses an existing
-# name forever after. Clear any orphan of OUR name first — idempotent.
-docker rm -f "$R9V_CONTAINER_NAME" >/dev/null 2>&1 || true
+# SIGKILLs conmon before cleanup runs). Clear OUR name plus the legacy
+# identities (the FreeToken-era frank-primary-qwen, the retired R9V
+# container and the ad hoc experiment containers all hold this GPU); all
+# idempotent.
+for CTR in $FRANK_PRIMARY_LEGACY_CONTAINERS "$FRANK_PRIMARY_CONTAINER"; do
+    podman rm -f "$CTR" >/dev/null 2>&1 || true
+done

-# launch.sh detaches after preflight; from here on, this script's lifetime
-# IS the container's: wait returns the container's exit code, so a crash is
-# a nonzero ExecStart and Restart=on-failure fires. (systemd stop goes
-# through ExecStop in the unit — docker wait alone cannot stop the child.)
-"$LAUNCHER"
-exec docker wait "$R9V_CONTAINER_NAME"
+LOG=/home/dank/logs/frank_primary.log
+mkdir -p "$(dirname "$LOG")"
+
+# Publisher-vetted container contract (docs/DOCKER.md, compose/common.yaml):
+# --network host (the server binds the host's addresses directly, no NAT),
+# --init (the engine releases the cards on SIGTERM), seccomp=unconfined
+# (Docker/podman's default profile refuses io_uring, which the n-gram
+# table's reads go through, and the NUMA binding calls the ROCm runtime
+# makes for host memory), memlock unbounded (the pinned ledger — legal
+# because the root unit grants LimitMEMLOCK=infinity to this dank process),
+# /dev/kfd + /dev/dri (render/video groups are moot for a root container).
+# The template rides a single-file mount; the .rad dir is ro; /data holds
+# the prefix-cache disk tier.
+podman run -d --name "$FRANK_PRIMARY_CONTAINER" \
+  --network host \
+  --init \
+  --security-opt seccomp=unconfined \
+  --ulimit memlock=-1:-1 \
+  --device /dev/kfd --device /dev/dri \
+  -v "$FRANK_PRIMARY_MODEL_DIR":/models:ro \
+  -v "$FRANK_PRIMARY_STATE_DIR":/data \
+  -v "$FRANK_PRIMARY_STATE_DIR/tune":/opt/radiance/share/radiance/tune \
+  -v "$FRANK_PRIMARY_TEMPLATE":/templates/template.jinja:ro \
+  "$FRANK_PRIMARY_IMAGE" \
+  --model "/models/$FRANK_PRIMARY_MODEL_FILE" \
+  --host :: --port "$FRANK_PRIMARY_PORT" \
+  --served-model-name "$FRANK_PRIMARY_SERVED_NAME" \
+  --override-chat-template /templates/template.jinja \
+  --tp "$FRANK_PRIMARY_TP" --tp-wire "$FRANK_PRIMARY_TP_WIRE" \
+  --max-num-seqs "$FRANK_PRIMARY_MAX_SEQS" \
+  --max-model-len "$FRANK_PRIMARY_MAX_MODEL_LEN" \
+  --placement "$FRANK_PRIMARY_PLACEMENT" \
+  --host-pool-mib "$FRANK_PRIMARY_HOST_POOL_MIB" \
+  --gpu-headroom-mib "$FRANK_PRIMARY_GPU_HEADROOM_MIB" \
+  --vram-weights-mib "$FRANK_PRIMARY_VRAM_WEIGHTS_MIB" \
+  --vram-kv-mib "$FRANK_PRIMARY_VRAM_KV_MIB" \
+  --kv-cache-dtype "$FRANK_PRIMARY_KV_DTYPE" \
+  --prefix-cache-host-mib "$FRANK_PRIMARY_PREFIX_HOST_MIB" \
+  --prefix-cache-dir /data/kvcache/frank-primary \
+  --prefix-cache-disk-mib "$FRANK_PRIMARY_PREFIX_DISK_MIB" \
+  --ngram-placement "$FRANK_PRIMARY_NGRAM_PLACEMENT" \
+  --num-speculative-tokens "$FRANK_PRIMARY_SPEC_TOKENS" \
+  --max-num-batched-tokens "$FRANK_PRIMARY_MAX_BATCHED_TOKENS" \
+  ${FRANK_PRIMARY_EXTRA_ARGS:+$FRANK_PRIMARY_EXTRA_ARGS} \
+  > "$LOG" 2>&1
+
+# From here on, this script's lifetime IS the container's: wait returns the
+# container's exit code, so a crash is a nonzero ExecStart and the unit's
+# Restart=always is real. (systemd stop goes through ExecStop in the unit —
+# podman wait alone cannot stop the container child.)
+exec podman wait "$FRANK_PRIMARY_CONTAINER"
@@ -0,0 +1,132 @@
+#!/usr/bin/env bash
+# Serve HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive (Q6_K) as
+# frank-secondary on Dankclaw's RTX 3090 via llama.cpp (master build, CUDA sm_86).
+#
+# 2026-10-07 (Frank): Qwen3.5-9B swap at TWO 200,704-token conversations
+# (--ctx-size 401408 --parallel 2) with EXACT f16 KV — the 9B rung frees the
+# room the 26B MoE Gemma4 shape lacked, so quantized V retires. MTP stays off:
+# this GGUF carries no MTP tensors at all (verified from its tensor-name
+# list), so there is no in-file head to draft with. Verbosity 4 ships so the
+# VRAM-fit forensics (KV layout, buffer sizes, graph capture) land in the journal.
+#
+# Architecture: qwen35 — dense 9B, 32 layers with full_attention_interval 4
+# (8 full-attention layers at 3,7,...,31 + 24 Gated DeltaNet linear layers),
+# 16 heads / 4 KV heads × 256 dim, native 262,144, vocab 248,320. The KV pool
+# scales with the 8 full layers: 32 KiB/token at f16 K + f16 V (12.25 GiB at
+# the 401,408 pool); the DeltaNet layers cost a fixed recurrent state per
+# slot. Feasibility is priced from the MiMo-V2.6-Distill-Qwen-9B boots (same
+# geometry, same card, same shape): 21,276/2,849 at ubatch 1024, 21,846/2,279
+# at ubatch 2048 — the boot ledger, not arithmetic, is the referee.
+# Vision comes from the publisher's own BF16 projector (the model is natively
+# multimodal), so --mmproj is what gives this endpoint eyes; MMPROJ_FILE="" is
+# the documented text-only opt-out.
+#
+# Sampling: llama.cpp takes it per request (the fleet harness sends the
+# publisher recipe from models.yml: thinking temp 0.6 / top_p 0.95 / top_k 20).
+#
+# Tunables come from frank-secondary.env unless FRANK_SECONDARY_ENV_FILE overrides.
+set -euo pipefail
+
+SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
+ENV_FILE="${FRANK_SECONDARY_ENV_FILE:-$SCRIPT_DIR/frank-secondary.env}"
+if [[ -f "$ENV_FILE" ]]; then
+    set -a
+    # shellcheck disable=SC1090
+    source "$ENV_FILE"
+    set +a
+fi
+
+# --- defaults (used when the env file does not set them) -------------------
+: "${LLAMA_BIN:=/home/dank/GitPackages/llama-master/build-cuda/bin/llama-server}"
+: "${MODEL_FILE:=/home/dank/models/Qwen35-9B-HauhauCS-Q6K/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf}"
+: "${ALIAS:=frank-zealot}"
+: "${BIND_ADDR:=0.0.0.0}"
+: "${LISTEN_PORT:=7771}"
+# ctx-size is the POOL llama.cpp divides across slots: 401,408 / 2 = 200,704
+# per conversation, inside the model's trained 262,144. The harness
+# contextWindow MUST quote the PER-SLOT number — a longer prompt is answered
+# with a 400, never truncated.
+: "${CTX_SIZE:=401408}"
+: "${PARALLEL:=2}"
+# Compute-buffer geometry. Ubatch is a prefill knob (decode never moves).
+# 2048 is the measured CUDA optimum (MiMo era, same arch/shape: +4.6 % prefill
+# at 8.9k depth, decode flat, 616 MiB). The logical batch is VRAM- and
+# throughput-neutral at a fixed ubatch.
+: "${BATCH_SIZE:=4096}"
+: "${UBATCH_SIZE:=2048}"
+# Exact (unquantized) KV: f16 K + f16 V, restoring the MiMo-era contract that
+# the 26B Gemma4 shape could not afford. 32 KiB/token at this geometry
+# (8 full-attention layers × 4 KV heads × 256 dim); 12.25 GiB at the 401,408
+# pool. Explicit either way so the contract is visible in the argv, and
+# --flash-attn stays required for any quantized-V fallback (q8_0 = llama.cpp's
+# FP8 class; no true fp8 KV dtype exists in this build).
+: "${CACHE_TYPE_K:=f16}"
+: "${CACHE_TYPE_V:=f16}"
+# Speculative decoding is OFF: this Q6_K file carries NO nextn/mtp tensors, so
+# there is no in-file head (the law: MTP is a property of the file, not of the
+# flags). SPEC_TYPE=none strips BOTH speculative flags (flags move as a set);
+# naming a drafter requires SPEC_DRAFT_FILE alongside SPEC_TYPE — the Gemma4
+# assistant on disk is arch gemma4-assistant and cannot drafter-match qwen35.
+: "${SPEC_TYPE:=none}"
+: "${SPEC_DRAFT_N_MAX:=3}"
+: "${SPEC_DRAFT_FILE:=}"
+: "${NGL:=99}"
+# Log verbosity threshold (llama.cpp -lv). 3 is the engine default (info);
+# 4 adds debug detail (KV layout, buffer sizes, graph capture) which is what
+# the VRAM-fit forensics need. Levels above 4 flood the journal.
+: "${VERBOSITY:=3}"
+# Vision projector. No colon on purpose: an explicitly empty value means
+# "text-only, on purpose" and must NOT be replaced by the default path.
+: "${MMPROJ_FILE=/home/dank/models/Qwen35-9B-HauhauCS-Q6K/mmproj-Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf}"
+
+# Fail loudly rather than half-loading: a missing file is a download that
+# has not finished, and Restart=always would turn it into a crash loop that
+# reads like a runtime fault.
+for path in "$LLAMA_BIN" "$MODEL_FILE"; do
+    [[ -e "$path" ]] || { echo "frank-secondary: missing $path" >&2; exit 1; }
+done
+EXTRA_ARGS=()
+if [[ -n "$MMPROJ_FILE" ]]; then
+    [[ -e "$MMPROJ_FILE" ]] || { echo "frank-secondary: missing $MMPROJ_FILE" >&2; exit 1; }
+    EXTRA_ARGS+=(--mmproj "$MMPROJ_FILE")
+fi
+
+# Speculative flags move as a set: they reach the argv ONLY when a drafter
+# is named. SPEC_TYPE=none (the shipped contract) strips both — a no-spec
+# baseline must not carry half a spec pair.
+if [[ -n "$SPEC_TYPE" && "$SPEC_TYPE" != "none" ]]; then
+    EXTRA_ARGS+=(--spec-type "$SPEC_TYPE" --spec-draft-n-max "$SPEC_DRAFT_N_MAX")
+if [[ -n "$SPEC_DRAFT_FILE" ]]; then
+    [[ -e "$SPEC_DRAFT_FILE" ]] || { echo "frank-secondary: missing $SPEC_DRAFT_FILE" >&2; exit 1; }
+    EXTRA_ARGS+=(--spec-draft-model "$SPEC_DRAFT_FILE")
+fi
+fi
+
+# The UVM device node is created lazily by nvidia-modprobe on the first CUDA
+# open after boot; make sure it exists before the server needs it.
+nvidia-modprobe -u -c=0 2>/dev/null || true
+
+# Flash attention stays pinned on: it is REQUIRED for quantized V (q8_0),
+# and the build carries GGML_CUDA_FA_ALL_QUANTS=ON (since 2026-09-17), so
+# the q8_0 KV contract in frank-secondary.env is a real path — without this
+# flag or that build option the engine silently falls back and the
+# contract becomes a lie.
+ARGS=(
+    --model "$MODEL_FILE"
+    --alias "$ALIAS"
+    --host "$BIND_ADDR"
+    --port "$LISTEN_PORT"
+    --ctx-size "$CTX_SIZE"
+    --parallel "$PARALLEL"
+    --batch-size "$BATCH_SIZE"
+    --ubatch-size "$UBATCH_SIZE"
+    --n-gpu-layers "$NGL"
+    --flash-attn on
+    --cache-type-k "$CACHE_TYPE_K"
+    --cache-type-v "$CACHE_TYPE_V"
+    --log-verbosity "$VERBOSITY"
+    --jinja
+    --reasoning auto
+    --reasoning-format deepseek
+)
+exec "$LLAMA_BIN" "${ARGS[@]}" ${EXTRA_ARGS[@]+"${EXTRA_ARGS[@]}"}
@@ -1,140 +0,0 @@
-#!/usr/bin/env bash
-# Serve HauhauCS/Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced (Q4_K_M) as
-# frank-small on Dankclaw's RTX 3090 via mainline llama.cpp.
-#
-# Topology: the whole model lives in VRAM (-ngl 999) -- 6.87 GiB of Q4_K_M
-# weights plus the BF16 vision projector and q8_0 KV inside the card's
-# 24 GiB. The host CPU only tokenizes and samples here; this box's CPU
-# belongs to the halogen engine that serves frank-large.
-#
-# MTP: this model's Multi-Token Prediction head ships as a SEPARATE file
-# (mtp-gemma-4-12B-it.gguf, arch gemma4-assistant, 4 nextn layers). It is
-# passed via --model-draft with --spec-type draft-mtp: the draft context
-# loads the assistant model. The same --spec-type value chains the
-# draftless ngram-mod matcher, which attaches unconditionally; two
-# context-backed drafters cannot share one process, so this chain is the
-# only shape that carries both.
-#
-# Context: CTX_SIZE is set explicitly to PARALLEL x 262144 so every slot
-# gets the model's FULL window; --fit (the CTX_SIZE-unset branch below)
-# maximises the TOTAL pool instead, which would divide a smaller window
-# across slots. The 4-slot layout is measured to fit the card (see the
-# SIZING note in frank-small.env); more slots would fail the KV allocation.
-#
-# Vision + audio: --mmproj loads the BF16 projector, which also carries
-# an audio encoder — input_audio content parts transcribe verbatim
-# (verified 2026-09-17). The fleet's image path lives here, which is why
-# halogen no longer sets HALOGEN_VISION_TOWER.
-#
-# Sampling: greedy by default (the fleet contract). Clients that send their own
-# temperature get their own values, and the harness overrides per model from
-# models.yml. --jinja is pinned even though this build defaults it on: the
-# model's own template supplies reasoning_effort, preserve_thinking and the
-# tool-call grammar, and a future build that flips that default must not
-# silently take tools away.
-#
-# Tunables come from frank-small.env unless FRANK_SMALL_ENV_FILE overrides it.
-set -euo pipefail
-
-SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
-ENV_FILE="${FRANK_SMALL_ENV_FILE:-$SCRIPT_DIR/frank-small.env}"
-if [[ -f "$ENV_FILE" ]]; then
-    set -a
-    # shellcheck disable=SC1090
-    source "$ENV_FILE"
-    set +a
-fi
-
-# --- defaults (used when the env file does not set them) -------------------
-: "${LLAMA_BIN:=/home/dank/GitPackages/llama.cpp-mainline/build-cuda/bin/llama-server}"
-: "${MODEL_DIR:=/home/dank/models/Qwen3.8-27B-GSQ-RCO-IQ3_S-mtp}"
-: "${MODEL_FILE:=Qwen3.8-27B-GSQ-RCO-IQ3_S-mtp.gguf}"
-: "${MMPROJ_PATH:=$MODEL_DIR/mmproj-Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced-BF16.gguf}"
-: "${DRAFT_FILE:=}"
-: "${ALIAS:=frank-small}"
-: "${BIND_ADDR:=0.0.0.0}"
-: "${LISTEN_PORT:=7771}"
-: "${CTX_SIZE:=}"
-: "${PARALLEL:=1}"
-: "${CACHE_TYPE_K:=f16}"
-: "${CACHE_TYPE_V:=f16}"
-: "${CACHE_RAM:=8192}"
-: "${BATCH_SIZE:=2048}"
-: "${UBATCH_SIZE:=512}"
-# Decode-shape knobs: the MTP drafter's per-round proposal length (build
-# default 3; the Gemma4 sidecar carries 4 nextn layers) and the engine's
-# busy-wait level (build default 50).
-: "${SPEC_DRAFT_N_MAX:=3}"
-: "${POLL_LEVEL:=50}"
-: "${NUM_THREADS:=8}"
-: "${THREAD_BATCH:=8}"
-: "${NGL:=999}"
-: "${FLASH_ATTN:=on}"
-: "${SPEC_TYPE:=draft-mtp}"
-: "${TEMPERATURE:=0.0}"
-: "${REASONING_FORMAT:=deepseek}"
-: "${REASONING_BUDGET:=-1}"
-
-# Fail loudly rather than half-loading a model into VRAM: a missing file here
-# is a download that has not finished, and the unit's restart policy would
-# otherwise turn that into a crash loop that reads like a runtime fault.
-for path in "$LLAMA_BIN" "$MODEL_DIR/$MODEL_FILE" "$MMPROJ_PATH"; do
-    [[ -e "$path" ]] || { echo "frank-small: missing $path" >&2; exit 1; }
-done
-if [[ -n "${DRAFT_FILE:-}" ]]; then
-    [[ -e "$MODEL_DIR/$DRAFT_FILE" ]] || { echo "frank-small: missing $MODEL_DIR/$DRAFT_FILE" >&2; exit 1; }
-fi
-
-# The UVM device node is created lazily by nvidia-modprobe on the first CUDA
-# open after boot; make sure it exists before the server needs it.
-nvidia-modprobe -u -c=0 2>/dev/null || true
-
-MMPROJ_ARGS=()
-if [[ -n "${MMPROJ_PATH:-}" && -f "$MMPROJ_PATH" ]]; then
-    MMPROJ_ARGS=(--mmproj "$MMPROJ_PATH")
-fi
-
-SPEC_ARGS=()
-if [[ -n "${SPEC_TYPE:-}" && "$SPEC_TYPE" != "none" ]]; then
-    SPEC_ARGS=(--spec-type "$SPEC_TYPE" --spec-draft-n-max "$SPEC_DRAFT_N_MAX")
-fi
-
-DRAFT_ARGS=()
-if [[ -n "${DRAFT_FILE:-}" ]]; then
-    DRAFT_ARGS=(--model-draft "$MODEL_DIR/$DRAFT_FILE")
-fi
-
-# CTX_SIZE set -> pinned context. Unset -> --fit sizes the KV pool against
-# whatever the weights, projector, draft context and compute buffers leave
-# on the card; the engine prints the chosen value at startup.
-if [[ -n "${CTX_SIZE:-}" ]]; then
-    CTX_ARGS=(--ctx-size "$CTX_SIZE")
-else
-    CTX_ARGS=(--fit on)
-fi
-
-exec "$LLAMA_BIN" \
-    --model "$MODEL_DIR/$MODEL_FILE" \
-    "${MMPROJ_ARGS[@]}" \
-    "${DRAFT_ARGS[@]}" \
-    --alias "$ALIAS" \
-    --host "$BIND_ADDR" \
-    --port "$LISTEN_PORT" \
-    --gpu-layers "$NGL" \
-    --flash-attn "$FLASH_ATTN" \
-    "${CTX_ARGS[@]}" \
-    --parallel "$PARALLEL" \
-    --batch-size "$BATCH_SIZE" \
-    --ubatch-size "$UBATCH_SIZE" \
-    --threads "$NUM_THREADS" \
-    --threads-batch "$THREAD_BATCH" \
-    --poll "$POLL_LEVEL" \
-    --cache-type-k "$CACHE_TYPE_K" \
-    --cache-type-v "$CACHE_TYPE_V" \
-    --cache-ram "$CACHE_RAM" \
-    "${SPEC_ARGS[@]}" \
-    --jinja \
-    --metrics \
-    --temp "$TEMPERATURE" \
-    --reasoning-format "$REASONING_FORMAT" \
-    --reasoning-budget "$REASONING_BUDGET"
@@ -0,0 +1,556 @@
+#!/usr/bin/env python3
+"""stack-qwen38-official-fp8.py — reshape the official Qwen/Qwen3.8-Flash-Next-FP8
+checkpoint into the form the shipped radiance qwen4exp plugin maps.
+
+Run INSIDE the staging dir's tree (python3 + numpy on the host; data never
+leaves the box). Two transforms, both VALUE-PRESERVING:
+
+1. EXPERTS: the shipped plugin's stacked layout names ONE tensor per family
+   (`mlp.experts.gate_up_proj` [E, 2F, H], `mlp.experts.down_proj` [E, H, F])
+   plus a `<family>_scale_inv` plane at the same index (NO `.weight` in the
+   stacked name — scale_name() appends _scale_inv to the tensor name verbatim),
+   while the official FP8 repo ships per-expert unfused tensors
+   (`experts.<e>.{gate,up,down}_proj.weight` + scale). Stacking is pure byte
+   concatenation along dim 0 — gate rows
+   first inside each expert's gate_up slab, which is the order the block
+   wants (rad_block_moe_fp8.h: "a stacked gate_up is ALREADY FUSED in the
+   order this block wants"). No requantisation: bytes are moved, not decoded.
+
+2. PLE TABLE: the plugin's fp8 branch wants the table's codes beside a
+   ONE-ELEMENT bf16 scale plane (`blk.%d.ple_ngram.scale`, view {1}); a
+   per-shard-blocked scale can never fit that view, and `rtn` re-encoding the
+   RAW scaleless codes would overflow (v / 1.99e-4 exceeds e4m3's 448 max).
+   So staging decodes the scaleless shards with the checkpoint's OWN bf16
+   scale into a bf16 table (exact: every e4m3 code value and the scale are
+   exactly representable in bf16 to within the code's own 2^-3 grid), and the
+   convert's rtn rule re-encodes at that same scale — the nearest-code
+   distance is 2^-3 while the bf16 rounding perturbs by 2^-9, so every
+   original code is restored exactly and the container gets the checkpoint's
+   own codes plus the one-element scale plane.
+
+The convert then runs with NO recipe except:
+  blk.*.ple_ngram.weight=rtn:codes=fp8_e4m3,block=*x*,scale=bf16,rule=fixed,scale_value=<s>
+with <s> read from the checkpoint and written to ple_scale.txt.
+
+Idempotent: re-runs skip when the staged index already carries the stacked
+names, the merged bf16 shard_0, and split_ngram_parts == 1. --force redoes.
+"""
+
+import argparse
+import json
+import mmap
+import multiprocessing as mp
+import os
+import re
+import struct
+import sys
+import time
+import numpy as np
+F8, BF16 = "F8_E4M3", "BF16"
+
+
+def log(msg):
+    print(msg, flush=True)
+
+
+# ---------------------------------------------------------------- safetensors
+
+def parse_header(path):
+    """Return (header_len, {name: (dtype, shape, data_offsets)})."""
+    with open(path, "rb") as fh:
+        (hlen,) = struct.unpack("<Q", fh.read(8))
+        hdr = json.loads(fh.read(hlen))
+    return hlen, hdr
+
+
+def write_safetensors(path, tensors, data_iter):
+    """tensors: [(name, dtype, shape, nbytes)]; data_iter yields bytes per tensor."""
+    hdr = {}
+    off = 0
+    for name, dtype, shape, nbytes in tensors:
+        hdr[name] = {"dtype": dtype, "shape": list(shape),
+                     "data_offsets": [off, off + nbytes]}
+        off += nbytes
+    blob = json.dumps(hdr, separators=(",", ":")).encode("utf-8")
+    pad = (-len(blob)) % 8  # keep the data start 8-byte aligned
+    blob += b" " * pad
+    with open(path, "wb") as fh:
+        fh.write(struct.pack("<Q", len(blob)))
+        fh.write(blob)
+        for _, _, _, nbytes in tensors:
+            fh.write(next(data_iter).tobytes())
+        fh.flush()
+        os.fsync(fh.fileno())
+    return 8 + len(blob) + sum(t[3] for t in tensors)
+
+
+# ------------------------------------------------------------------- preflight
+
+def build_meta(stage, index):
+    """name -> (file, global_byte_offset, nbytes, dtype, shape) for every tensor."""
+    files = sorted(set(index["weight_map"].values()))
+    meta = {}
+    for f in files:
+        path = os.path.join(stage, f)
+        hlen, hdr = parse_header(path)
+        for name, e in hdr.items():
+            if name == "__metadata__":
+                continue
+            b0, b1 = e["data_offsets"]
+            meta[name] = (f, 8 + hlen + b0, b1 - b0, e["dtype"], e["shape"])
+    return meta
+
+
+def e4m3_lut():
+    lut = np.zeros(256, np.float32)
+    for b in range(256):
+        sign = -1.0 if b & 0x80 else 1.0
+        e = (b >> 3) & 0xF
+        m = b & 0x7
+        if e == 15 and m == 7:
+            v = np.float32(np.nan)  # OCP e4m3fn: only 0x7F/0xFF are NaN
+        elif e == 0:
+            v = sign * (m / 8.0) * 2.0 ** -6
+        else:
+            v = sign * (1.0 + m / 8.0) * 2.0 ** (e - 7)
+        lut[b] = v
+    assert lut[0x38] == 1.0 and lut[0x7E] == 448.0
+    assert np.isnan(lut[0x7F]) and lut[0x00] == 0.0
+    assert lut[0x08] == 2.0 ** -6 and lut[0x80] == 0.0
+    return lut
+
+
+def f32_to_bf16_rne(v):
+    """float32 array -> uint16 bf16 bits, round-to-nearest-even."""
+    q = np.ascontiguousarray(v, dtype=np.float32)
+    q[~np.isfinite(q)] = 0.0
+    bits = q.view(np.uint32)
+    r = bits + 0x7FFF + ((bits >> 16) & 1)
+    return (r >> 16).astype(np.uint16)
+
+
+# ------------------------------------------------------------------- workers
+
+def stack_prefix(job):
+    """Byte-stack one layer's 512 experts into a 4-tensor safetensors file."""
+    (stage, pre, idx, n_e, shapes, meta) = job
+    (f2, h) = shapes["ffn2_h"]          # 2*ffn, n_embd
+    (f,) = shapes["ffn"]                # ffn
+    gs, ds = shapes["gs"], shapes["ds"] # scale shapes [5,20] and [20,5]
+
+    # byte widths: fp8 is 1 B/element, bf16 2 B; the fused gate_up scale is
+    # the gate and up scale planes concatenated (gate rows first)
+    g_bytes = (f2 // 2) * h
+    gs_bytes = gs[0] * gs[1] * 2          # ONE projection's scale plane
+    gus_bytes = 2 * gs_bytes              # fused scale per expert
+    dn_bytes = h * f
+    ds_bytes = ds[0] * ds[1] * 2
+
+    gu = np.empty(n_e * f2 * h, np.uint8)
+    gus = np.empty(n_e * gus_bytes, np.uint8)
+    dn = np.empty(n_e * dn_bytes, np.uint8)
+    dns = np.empty(n_e * ds_bytes, np.uint8)
+
+    mmaps = {}
+
+    def view(name):
+        f_, off, ln, dt, shp = meta[name]
+        if f_ not in mmaps:
+            fh = open(os.path.join(stage, f_), "rb")
+            mmaps[f_] = mmap.mmap(fh.fileno(), 0, access=mmap.ACCESS_READ)
+        return memoryview(mmaps[f_])[off:off + ln], (dt, shp)
+
+    def need(name, dt, shp):
+        mv, (got_dt, got_shp) = view(name)
+        assert got_dt == dt and list(got_shp) == list(shp), f"{name}: {got_dt}{got_shp}"
+        return mv
+
+    for e in range(n_e):
+        base = f"{pre}.mlp.experts.{e}"
+        slab = gu[e * f2 * h:(e + 1) * f2 * h]
+        slab[:g_bytes] = need(f"{base}.gate_proj.weight", F8, [f2 // 2, h])
+        slab[g_bytes:] = need(f"{base}.up_proj.weight", F8, [f2 // 2, h])
+        sslab = gus[e * gus_bytes:(e + 1) * gus_bytes]
+        sslab[:gs_bytes] = need(f"{base}.gate_proj.weight_scale_inv", BF16, gs)
+        sslab[gs_bytes:] = need(f"{base}.up_proj.weight_scale_inv", BF16, gs)
+        dn[e * dn_bytes:(e + 1) * dn_bytes] = need(f"{base}.down_proj.weight", F8, [h, f])
+        dns[e * ds_bytes:(e + 1) * ds_bytes] = need(f"{base}.down_proj.weight_scale_inv", BF16, ds)
+
+    for mm in mmaps.values():
+        mm.close()
+
+    # byte-identity check on two sampled experts (first and last), all four
+    # tensors — the stack IS the checkpoint bytes, so they must compare equal
+    for e in (0, n_e - 1):
+        base = f"{pre}.mlp.experts.{e}"
+        s = e * f2 * h
+        assert bytes(gu[s:s + g_bytes]) == bytes(stack_src(f"{base}.gate_proj.weight", meta, stage))
+        assert bytes(gu[s + g_bytes:s + f2 * h]) == bytes(stack_src(f"{base}.up_proj.weight", meta, stage))
+        t = e * gus_bytes
+        assert bytes(gus[t:t + gs_bytes]) == bytes(stack_src(f"{base}.gate_proj.weight_scale_inv", meta, stage))
+        assert bytes(gus[t + gs_bytes:t + gus_bytes]) == bytes(stack_src(f"{base}.up_proj.weight_scale_inv", meta, stage))
+        d = e * dn_bytes
+        assert bytes(dn[d:d + dn_bytes]) == bytes(stack_src(f"{base}.down_proj.weight", meta, stage))
+        u = e * ds_bytes
+        assert bytes(dns[u:u + ds_bytes]) == bytes(stack_src(f"{base}.down_proj.weight_scale_inv", meta, stage))
+
+    out = os.path.join(stage, f"stacked.{idx:03d}.safetensors")
+    tensors = [
+        (f"{pre}.mlp.experts.gate_up_proj", F8, [n_e, f2, h], n_e * f2 * h),
+        (f"{pre}.mlp.experts.gate_up_proj_scale_inv", BF16,
+         [n_e, gs[0] * 2, gs[1]], n_e * gus_bytes),
+        (f"{pre}.mlp.experts.down_proj", F8, [n_e, h, f], n_e * h * f),
+        (f"{pre}.mlp.experts.down_proj_scale_inv", BF16,
+         [n_e, ds[0], ds[1]], n_e * ds_bytes),
+    ]
+    bufs = iter([gu, gus, dn, dns])
+    written = write_safetensors(out, tensors, bufs)
+    return (pre, written)
+
+
+def stack_src(name, meta, stage):
+    """Re-open a source tensor for the sampled-expert check."""
+    f_, off, ln, dt, shp = meta[name]
+    fh = open(os.path.join(stage, f_), "rb")
+    mm = mmap.mmap(fh.fileno(), 0, access=mmap.ACCESS_READ)
+    fh.close()  # mmap keeps the mapping alive
+    return mm[off:off + ln]
+
+
+def fill_ple_shard(job):
+    """Decode one fp8 shard with the table scale, write bf16 rows into the mmap."""
+    (src_path, src_off, src_rows, dst_path, dst_off, scale_f32,
+     cols, chunk_rows) = job
+    lut = e4m3_lut()
+    with open(src_path, "rb") as fh:
+        sm = mmap.mmap(fh.fileno(), 0, access=mmap.ACCESS_READ)
+        with open(dst_path, "r+b") as dfh:
+            dm = mmap.mmap(dfh.fileno(), 0, access=mmap.ACCESS_WRITE)
+            for r0 in range(0, src_rows, chunk_rows):
+                r1 = min(r0 + chunk_rows, src_rows)
+                codes = np.frombuffer(sm, dtype=np.uint8,
+                                      count=(r1 - r0) * cols,
+                                      offset=src_off + r0 * cols)
+                q = lut.take(codes)
+                del codes  # release the mmap export before sm.close()
+                q[~np.isfinite(q)] = 0.0
+                q *= np.float32(scale_f32)
+                packed = f32_to_bf16_rne(q)
+                dm[dst_off + r0 * cols * 2: dst_off + r1 * cols * 2] = packed.tobytes()
+            dm.flush()
+            os.fsync(dfh.fileno())
+            dm.close()
+        sm.close()
+
+
+# ---------------------------------------------------------------------- main
+
+def main():
+    ap = argparse.ArgumentParser(description=__doc__.split("\n")[0])
+    ap.add_argument("--src", default=None,
+                    help="raw checkpoint dir (documentation only; unused)")
+    ap.add_argument("--stage", required=True, help="staging dir to reshape in place")
+    ap.add_argument("--force", action="store_true", help="redo even if already staged")
+    ap.add_argument("--workers", type=int, default=min(8, os.cpu_count() or 1))
+    args = ap.parse_args()
+    stage = args.stage
+    t0 = time.time()
+
+    index_path = os.path.join(stage, "model.safetensors.index.json")
+    cfg_path = os.path.join(stage, "config.json")
+    if not (os.path.isfile(index_path) and os.path.isfile(cfg_path)):
+        log(f"ERROR: {stage} is not a staged checkpoint (missing index/config)")
+        return 2
+    with open(index_path) as fh:
+        index = json.load(fh)
+    with open(cfg_path) as fh:
+        cfg = json.load(fh)
+    wm = index["weight_map"]
+
+    meta = build_meta(stage, index)
+
+    # ---- collect prefixes -------------------------------------------------
+    pre_re = re.compile(r"^(?P<pre>.+)\.mlp\.experts\.(?P<e>\d+)\.gate_proj\.weight$")
+    pres, n_e = {}, 0
+    for k in wm:
+        m = pre_re.match(k)
+        if m:
+            pres.setdefault(m.group("pre"), set()).add(int(m.group("e")))
+            n_e = max(n_e, int(m.group("e")) + 1)
+    prefixes = sorted(pres)
+    if not prefixes:
+        log("ERROR: no per-expert tensors found in the staged index")
+        return 2
+    mtp = [p for p in prefixes if p.startswith("mtp.")]
+    trunk = [p for p in prefixes if p.startswith("model.language_model.layers.")]
+    log(f"expert prefixes: {len(prefixes)} (trunk {len(trunk)}, mtp {len(mtp)}), "
+        f"{n_e} experts each")
+
+    # shapes from expert 0 of the first prefix
+    pre0 = prefixes[0]
+    shapes = {}
+    gdt, gsh = meta[f"{pre0}.mlp.experts.0.gate_proj.weight"][3:5]
+    ddt, dsh = meta[f"{pre0}.mlp.experts.0.down_proj.weight"][3:5]
+    gsd, gssh = meta[f"{pre0}.mlp.experts.0.gate_proj.weight_scale_inv"][3:5]
+    dsd, dssh = meta[f"{pre0}.mlp.experts.0.down_proj.weight_scale_inv"][3:5]
+    scale_law = (gdt == F8 and ddt == F8 and gsd == BF16 and dsd == BF16
+                 and list(gssh) == [(gsh[0] + 127) // 128, (gsh[1] + 127) // 128]
+                 and list(dssh) == [(dsh[0] + 127) // 128, (dsh[1] + 127) // 128])
+    if not scale_law:
+        log(f"ERROR: unexpected expert shapes: gate {gdt}{gsh} scale {gsd}{gssh} "
+            f"down {ddt}{dsh} scale {dsd}{dssh} (scale law 128x128)")
+        return 2
+    shapes = {"ffn2_h": (gsh[0] * 2, gsh[1]), "ffn": (dsh[1],),
+              "gs": tuple(gssh), "ds": tuple(dssh)}
+    f2, h = shapes["ffn2_h"]
+    f = shapes["ffn"][0]
+    log(f"shapes: gate_up [{n_e},{f2},{h}] F8, down [{n_e},{h},{f}] F8, "
+        f"scales {gssh}x2 / {dssh} bf16")
+
+    # ---- PLE table --------------------------------------------------------
+    ple_re = re.compile(r"^(?P<pre>.+)\.ple\.ple_embedding\.ngram_embedding\.shard_(?P<i>\d+)\.weight$")
+    ple_pre, shard_ids = None, {}
+    for k in wm:
+        m = ple_re.match(k)
+        if m:
+            ple_pre = m.group("pre")
+            shard_ids[int(m.group("i"))] = k
+    if ple_pre is None:
+        log("ERROR: no PLE table shards found")
+        return 2
+    n_shards = len(shard_ids)
+    if sorted(shard_ids) != list(range(n_shards)):
+        log(f"ERROR: PLE shard ids not contiguous 0..{n_shards - 1}")
+        return 2
+    sc_name = f"{ple_pre}.ple.ple_embedding.ngram_embedding.weight_scale"
+    sdt, ssh, sln = meta[sc_name][3], meta[sc_name][4], meta[sc_name][2]
+    if sdt != BF16 or list(ssh) != [1]:
+        log(f"ERROR: PLE scale is {sdt}{ssh}, expected BF16 [1]")
+        return 2
+    s_bits = struct.unpack("<H", bytes(view_src_tuple(meta, sc_name, stage)))[0]
+    scale_f32 = struct.unpack("<f", struct.pack("<I", s_bits << 16))[0]
+    log(f"PLE: {ple_pre}, {n_shards} shards, scale bf16 = {scale_f32!r}")
+
+    rows = [meta[shard_ids[i]][4][0] for i in range(n_shards)]
+    total_rows = sum(rows)
+    hd = meta[shard_ids[0]][4][1]
+    if any(meta[shard_ids[i]][4][1] != hd for i in range(n_shards)):
+        log("ERROR: PLE shards disagree on HD")
+        return 2
+    if hd % 128 != 0 and hd != 160:
+        log(f"WARNING: PLE HD={hd} is neither 160 nor a multiple of 128")
+
+    # ---- idempotence gate -------------------------------------------------
+    stacked_names = [f"{p}.mlp.experts.gate_up_proj" for p in prefixes]
+    merged_name = f"{ple_pre}.ple.ple_embedding.ngram_embedding.shard_0.weight"
+    already = (all(n in wm for n in stacked_names)
+               and merged_name in wm
+               and find_split(cfg) is not None and read_split(cfg) == 1)
+    if already and not args.force:
+        log("already staged (stacked names, merged shard_0 and split_ngram_parts=1 "
+            "all present) — nothing to do")
+        return 0
+
+    # ---- disk gate --------------------------------------------------------
+    stacked_bytes = len(prefixes) * n_e * (f2 * h + h * f)
+    ple_bytes = total_rows * hd * 2
+    need = stacked_bytes + ple_bytes
+    st = os.statvfs(stage)
+    avail = st.f_bavail * st.f_frsize
+    if avail < need * 1.05:
+        log(f"ERROR: {avail / 2**30:.1f} GiB free < {need / 2**30:.1f} GiB needed (+5%)")
+        return 2
+    log(f"disk: {avail / 2**30:.1f} GiB free, need {need / 2**30:.1f} GiB "
+        f"(experts {stacked_bytes / 2**30:.1f}, ple {ple_bytes / 2**30:.1f})")
+
+    # ---- stage experts ----------------------------------------------------
+    jobs = []
+    for idx, pre in enumerate(prefixes):
+        jmeta = {n: meta[n] for n in meta if n.startswith(f"{pre}.mlp.experts.")}
+        jobs.append((stage, pre, idx, n_e, shapes, jmeta))
+    ctx = mp.get_context("fork")
+    written_total = 0
+    with ctx.Pool(args.workers) as pool:
+        for pre, nbytes in pool.imap_unordered(stack_prefix, jobs):
+            written_total += nbytes
+            log(f"  stacked {pre} ({nbytes / 2**30:.2f} GiB)")
+    log(f"experts stacked: {written_total / 2**30:.2f} GiB in {len(prefixes)} files")
+
+    # ---- stage PLE --------------------------------------------------------
+    # The file name sorts BEFORE the model-000NN shards ON PURPOSE: the reader
+    # opens every index-named file in sorted order and emplaces EVERY tensor
+    # it physically holds, first-wins (checkpoint.cpp add_shard). The raw
+    # shards carry tensors of the SAME name as the merged one
+    # (...ple.ple_embedding.ngram_embedding.shard_0.weight, [2500012,160]
+    # fp8), so ple.merged.safetensors lost the race and the plan read one raw
+    # shard as the codes. "00-" wins the sort and the name.
+    out_name = "00-ple.merged.safetensors"
+    out_path = os.path.join(stage, out_name)
+    data_bytes = total_rows * hd * 2
+    hdr = {merged_name: {"dtype": BF16, "shape": [total_rows, hd],
+                         "data_offsets": [0, data_bytes]}}
+    blob = json.dumps(hdr, separators=(",", ":")).encode("utf-8")
+    pad = (-len(blob)) % 8
+    blob += b" " * pad
+    hlen = len(blob)
+    with open(out_path, "wb") as fh:
+        fh.write(struct.pack("<Q", hlen))
+        fh.write(blob)
+        fh.truncate(8 + hlen + data_bytes)
+    jobs = []
+    row0 = 0
+    for i in range(n_shards):
+        f_, off, ln, _, shp = meta[shard_ids[i]]
+        jobs.append((os.path.join(stage, f_), off, shp[0], out_path,
+                     8 + hlen + row0 * hd * 2, scale_f32, hd, 131072))
+        row0 += shp[0]
+    assert row0 == total_rows
+    with ctx.Pool(args.workers) as pool:
+        pool.map(fill_ple_shard, jobs)
+    log(f"PLE merged: {data_bytes / 2**30:.2f} GiB bf16 "
+        f"({total_rows} rows x {hd} cols)")
+
+    # ---- post-verify ------------------------------------------------------
+    verify(stage, prefixes, n_e, shapes, meta, shard_ids, rows, hd,
+           scale_f32, out_path, hlen)
+
+    # ---- rewrite index + config -------------------------------------------
+    new_wm = {k: v for k, v in wm.items() if k not in set(shard_ids.values())}
+    for idx, pre in enumerate(prefixes):
+        fname = f"stacked.{idx:03d}.safetensors"
+        for t in (f"{pre}.mlp.experts.gate_up_proj",
+                  f"{pre}.mlp.experts.gate_up_proj_scale_inv",
+                  f"{pre}.mlp.experts.down_proj",
+                  f"{pre}.mlp.experts.down_proj_scale_inv"):
+            new_wm[t] = fname
+    new_wm[merged_name] = out_name
+    total = sum(meta_size(meta, k) for k in new_wm
+                if k in meta)  # originals
+    # new tensors' sizes
+    total += written_total + data_bytes
+    index["weight_map"] = new_wm
+    if "metadata" in index and isinstance(index["metadata"], dict):
+        index["metadata"]["total_size"] = total
+    # ATOMIC REPLACE, never open(path, "w"): the stage's index is a symlink
+    # to the RAW checkpoint (staging symlinks everything but config.json) —
+    # open("w") would rewrite the raw file through the link. os.replace
+    # swaps the link itself for a real file; the raw tree stays pristine.
+    for path, payload in ((index_path, json.dumps(index, indent=2)),
+                          (cfg_path, json.dumps(cfg, indent=2))):
+        tmp = path + ".tmp"
+        with open(tmp, "w") as fh:
+            fh.write(payload)
+        os.replace(tmp, path)
+    n = set_split(cfg, 1)
+    log(f"config: split_ngram_parts=1 written at {n} location(s)")
+
+    with open(os.path.join(stage, "ple_scale.txt"), "w") as fh:
+        fh.write(repr(scale_f32) + "\n")
+
+    dt = time.time() - t0
+    log(f"staged in {dt / 60:.1f} min: {written_total / 2**30:.1f} GiB experts + "
+        f"{data_bytes / 2**30:.1f} GiB PLE; scale {scale_f32!r} -> ple_scale.txt")
+    return 0
+
+
+def meta_size(meta, name):
+    _, _, ln, _, _ = meta[name]
+    return ln
+
+
+def view_src_tuple(meta, name, stage):
+    f_, off, ln, _, _ = meta[name]
+    with open(os.path.join(stage, f_), "rb") as fh:
+        fh.seek(off)
+        return fh.read(ln)
+
+
+def find_split(cfg):
+    """Locate split_ngram_parts keys (recursive); return list of paths."""
+    hits = []
+
+    def walk(d, path):
+        if isinstance(d, dict):
+            for k, v in d.items():
+                if k == "split_ngram_parts":
+                    hits.append(path + [k])
+                walk(v, path + [k])
+    walk(cfg, [])
+    return hits
+
+
+def read_split(cfg):
+    hits = find_split(cfg)
+    if not hits:
+        return None
+    d = cfg
+    for k in hits[0][:-1]:
+        d = d[k]
+    return d[hits[0][-1]]
+
+
+def set_split(cfg, value):
+    hits = find_split(cfg)
+    for path in hits:
+        d = cfg
+        for k in path[:-1]:
+            d = d[k]
+        d[path[-1]] = value
+    if not hits:  # plugin's meta_int2 falls back to the top-level key
+        cfg["split_ngram_parts"] = value
+        hits.append(["split_ngram_parts"])
+    return hits
+
+
+def verify(stage, prefixes, n_e, shapes, meta, shard_ids, rows, hd,
+           scale_f32, out_path, hlen):
+    """Cheap strong checks: headers parse, sizes match, sampled bytes identical."""
+    f2, h = shapes["ffn2_h"]
+    f = shapes["ffn"][0]
+    gs, ds = shapes["gs"], shapes["ds"]
+    # headers of every new file
+    for idx, pre in enumerate(prefixes):
+        path = os.path.join(stage, f"stacked.{idx:03d}.safetensors")
+        hlen2, hdr = parse_header(path)
+        want = {
+            f"{pre}.mlp.experts.gate_up_proj": (F8, [n_e, f2, h]),
+            f"{pre}.mlp.experts.gate_up_proj_scale_inv":
+                (BF16, [n_e, gs[0] * 2, gs[1]]),
+            f"{pre}.mlp.experts.down_proj": (F8, [n_e, h, f]),
+            f"{pre}.mlp.experts.down_proj_scale_inv": (BF16, [n_e, ds[0], ds[1]]),
+        }
+        for name, (dt, shp) in want.items():
+            e = hdr[name]
+            assert e["dtype"] == dt and list(e["shape"]) == shp, name
+            assert e["data_offsets"][1] - e["data_offsets"][0] == \
+                int(np.prod(shp)) * (1 if dt == F8 else 2), name
+    _, phdr = parse_header(out_path)
+    e = phdr[next(iter(phdr))]
+    assert e["dtype"] == BF16 and list(e["shape"]) == [sum(rows), hd]
+
+    # sampled PLE rows: recompute and compare bytes exactly
+    lut = e4m3_lut()
+    out_off = 8 + hlen
+    for i in (0, len(shard_ids) // 2, len(shard_ids) - 1):
+        name = shard_ids[i]
+        f_, off, ln, _, shp = meta[name]
+        with open(os.path.join(stage, f_), "rb") as fh:
+            mm = mmap.mmap(fh.fileno(), 0, access=mmap.ACCESS_READ)
+            for r in (0, shp[0] - 1):
+                codes = np.frombuffer(mm, dtype=np.uint8, count=hd,
+                                      offset=off + r * hd)
+                q = lut.take(codes) * np.float32(scale_f32)
+                del codes  # release the mmap export before mm.close()
+                want = f32_to_bf16_rne(q).tobytes()
+                got_row = sum(rows[:i]) + r
+                with open(out_path, "rb") as ofh:
+                    ofh.seek(out_off + got_row * hd * 2)
+                    got = ofh.read(hd * 2)
+                assert got == want, f"PLE row {got_row} mismatch"
+            mm.close()
+    log("verify: new-file headers, sizes and sampled PLE rows all exact; "
+        "expert slabs were byte-checked in-stack")
+
+
+if __name__ == "__main__":
+    sys.exit(main())
@@ -204,12 +204,12 @@ for path in "${CHANGED[@]}"; do
        scripts/qwen-sharp-v22.4.0.jinja)
            add_test tests/frank_large_unit.bats
            ;;
-        # frank-small is llama.cpp on the 3090 as a ROOT unit: a native CUDA
+        # frank-secondary is llama.cpp on the 3090 as a ROOT unit: a native CUDA
        # binary, so no generated quadlet is involved. Its env, unit and serve
        # script all live in scripts/, which is why this case has to precede
        # the generic scripts/*.service and scripts/* fallbacks below.
-        scripts/frank-small.*|scripts/serve-frank-small.sh)
-            add_test tests/frank_small_unit.bats
+        scripts/frank-secondary.*|scripts/serve-frank-secondary.sh)
+            add_test tests/frank_secondary_unit.bats
            add_test tests/llm_units.bats
            add_test tests/deployment_scoping.bats
            add_test tests/scripts_syntax.bats
@@ -0,0 +1,87 @@
+#!/usr/bin/env python3
+"""Streaming absmax audit of the Swift1.5 PLE n-gram table (BF16).
+
+The PLE fp8 encoding uses ONE fixed scale (1.9931793212890625e-04, the
+official checkpoint's plateau value). fp8_e4m3 saturates at 448, so the
+fixed scale is legal iff absmax <= 448 * SCALE. This walks every
+ngram_embedding.shard_*.weight tensor in the checkpoint (mmap, no copy),
+computes the absmax from the BF16 bit pattern (clear the sign bit, max
+the remaining uint16 — BF16 magnitudes are monotone in their bits), and
+reports the headroom. Exit 0 only when headroom >= 1.5x.
+
+Run from any cwd EXCEPT /tmp on dankserver (/tmp/inspect.py shadows the
+stdlib). Usage: verify-swift15-ple.py <ckpt-dir>
+"""
+import json
+import mmap
+import os
+import struct
+import sys
+
+SCALE = 1.9931793212890625e-04  # bf16 0x3951, the official plateau scale
+FP8_E4M3_MAX = 448.0
+
+import numpy as np
+gmax = 0.0
+gfile = ""
+over_cap = 0
+total = 0
+
+ckpt = sys.argv[1]
+index = json.load(open(os.path.join(ckpt, "model.safetensors.index.json")))
+shards: dict[str, list[str]] = {}
+for k, f in index["weight_map"].items():
+    if "ngram_embedding.shard_" in k and k.endswith(".weight"):
+        shards.setdefault(f, []).append(k)
+
+files = len(shards)
+tensors = sum(len(v) for v in shards.values())
+print(f"n-gram shards: {files} files, {tensors} tensors")
+
+import math
+
+cap = FP8_E4M3_MAX * SCALE
+# largest bf16 <= cap: truncate the float32 bits (cap > 0); bf16
+# magnitudes are monotone in their bits, so |w| > cap <=> bits > cap_bits
+cap_bits = int((np.float32(cap).view(np.uint32) >> 16) & 0xFFFF)
+for fname, keys in sorted(shards.items()):
+    path = os.path.join(ckpt, fname)
+    with open(path, "rb") as fh:
+        hlen = struct.unpack("<Q", fh.read(8))[0]
+        header = json.loads(fh.read(hlen))
+        base = 8 + hlen
+        mm = mmap.mmap(fh.fileno(), 0, prot=mmap.PROT_READ)
+        for k in keys:
+            meta = header[k]
+            off, end = meta["data_offsets"]
+            a = np.frombuffer(mm, dtype=np.uint16, count=(end - off) // 2,
+                              offset=base + off)
+            v = a & 0x7FFF
+            m = int(v.max())
+            over_cap += int((v > np.uint16(cap_bits)).sum())
+            total += v.size
+            del a
+            if m > gmax:
+                gmax = m
+                gfile = k
+        mm.close()
+
+# rebuild the BF16 value: the 16 bits are the HIGH half of the float32
+absmax = np.frombuffer(b"\x00\x00" + np.uint16(gmax).tobytes(),
+                        dtype=np.float32)[0]
+
+print(f"absmax        = {absmax!r}  (tensor: {gfile})")
+print(f"2^log2        = 2^{math.log2(absmax):.3f}")
+print(f"fp8 cap       = 448 * {SCALE:.8g} = {cap:.8g}")
+print(f"headroom      = {cap / absmax:.3f}x")
+ok = cap / absmax >= 1.5
+print("VERDICT:", "PASS (>= 1.5x headroom over the fixed scale)" if ok
+      else "FAIL — fixed scale does not cover the Swift PLE")
+print(f"values > cap  = {over_cap} of {total} ({over_cap / total:.3e})")
+nxt_bits = int((np.float32(absmax / FP8_E4M3_MAX).view(np.uint32)
+                >> 16) & 0xFFFF) + 1
+nxt_scale = np.frombuffer(b"\x00\x00" + np.uint16(nxt_bits).tobytes(),
+                          dtype=np.float32)[0]
+print(f"next-bf16 scale covering absmax: {nxt_scale:.8g} "
+      f"(0x{nxt_bits:04x}, headroom {FP8_E4M3_MAX * nxt_scale / absmax:.4f}x)")
+sys.exit(0 if ok else 1)
@@ -0,0 +1,111 @@
+---
+type: reference
+title: Agent Docs and Edits
+description: Two self-inflicted damage classes — structurally broken markdown after parallel agent edits, and botched hashline PUT/CUT repairs — with the audit checks and recovery order for each.
+tags: [agents, docs, markdown, hashline, edit-recovery]
+timestamp: 2026-10-05T00:00:00-07:00
+---
+
+# Agent Docs and Edits
+
+## Doc-structure audit (after parallel agent edits)
+
+Use after one or more subagents have edited markdown docs (OKF/Obsidian
+vault with `---` frontmatter), before committing. Link checkers and
+completeness seams validate *references*, not *structure* — agents reliably
+produce structurally broken markdown that still links cleanly.
+
+Damage catalogue:
+
+1. Banner/prose prepended **above** the opening `---` → the frontmatter is
+   no longer frontmatter (title/tags/description become body text).
+2. A rewrite **appended** instead of merged → duplicate headings and a stray
+   second `---` mid-file.
+3. Literal model artifacts in the body: `<|channel>}<tool_call|>...`,
+   `+- `, `- - `.
+4. Wrapped bullets re-emitted with a `- ` prefix on every physical line.
+5. Line-range replacement that dropped a sentence tail → dangling fragment,
+   often mid-parenthesis.
+
+Checks (fast, run all):
+
+```bash
+head -3 <file>                          # must be `---` if the page has frontmatter
+grep -c '^---$' <file>                  # exactly 2 (opener + closer)
+grep -n '^## ' <file> | sort -t: -k2 | uniq -f1 -d   # duplicate sections
+grep -rnE '^\+- |^- - |<\|' <files>     # artifacts
+python3 scripts/check-vault-links.py <vault-dir>
+./tests/run.sh                          # docs completeness seam etc.
+```
+
+Repair order (matters):
+
+1. If the file was destroyed rather than edited: stash the agent version to
+   `.AGENTTRASH/<YYYYMMDD-topic>/`, then `git checkout HEAD -- <file>` and
+   re-apply only the intended changes by hand.
+2. If it merely duplicated: **salvage unique content first** — cut the
+   one-of-a-kind section, paste it into the copy you keep, THEN delete the
+   duplicate ranges. Never delete first.
+3. Re-add missing sentence tails (insert before the orphaned fragment),
+   keeping list continuation lines indented.
+4. Re-run all checks above.
+
+Gotchas: agents can write AFTER they appear finished (job settles, file
+changes) — re-verify structure after the last background job reports, not
+before. Editing an agent's already-damaged file with fresh line numbers is
+safe, but its snapshot tag changes on every edit — re-read before each
+subsequent edit. `.AGENTTRASH/` is gitignored: trash is local-only, so
+nothing moved there reaches the repo — that is intended (temporary hold, not
+archive).
+
+## Hashline edit recovery
+
+Failure mode: multi-op edits resolve every `PUT N.=M:` / `CUT N.=M:` index
+against the **original** file numbering, and the post-apply diff view
+**elides lines** (it shows an anchor window, not the whole file). Two traps
+follow:
+
+1. A second edit call built from a diff-view snapshot uses line numbers from
+   a *partial* view. Lines outside the window are invisible but still
+   counted.
+2. If the first apply was itself wrong, the file shifted. The diff view
+   tells you the damage, but not the true offsets.
+
+Result: the repair pastes fresh text **beside** stale text instead of over
+it.
+
+Procedure:
+
+1. **Never carry line numbers across calls.** Re-read the target range for a
+   fresh tag before every subsequent edit. A read is cheap; a duplicated
+   paragraph costs a commit and a revert.
+2. **One op per call when the previous apply was imperfect.** Fixed offsets
+   are only trustworthy when every preceding apply landed exactly as
+   specified.
+3. **Re-read after every apply**, and verify the whole affected region — the
+   diff view is a sample, not proof. Check the *boundaries*: the line before
+   the edit and the line after it. Damage shows up as a repeated sentence
+   straddling the seam.
+4. **Repair by CUT, not by re-PUT.** Once you know the exact stale lines
+   from a fresh read, delete them. Do not try to PUT a corrected superset
+   over a range whose extent you are guessing at.
+5. Verify with a content assertion, not a diff review: `grep -c` for the
+   duplicated sentence, plus a syntax/compile check on any touched script.
+
+Same rule for any imperative `edit` tool with an old/new match: the matched
+text must be the **entire** text being replaced. Matching a bare fragment
+inside a paragraph splices the replacement into the middle of the sentence
+and silently corrupts the file. Re-read the file afterwards to confirm.
+
+### Anchored in-page links
+
+Renaming a Markdown heading breaks `[[#Old Heading]]` anchors. When a
+section is retitled, grep for the old heading text and fix every anchor in
+the same pass — doc link-checkers frequently do not validate `#fragment`
+targets, so a green suite will not catch a dangling one.
+
+## Related
+
+- [[OMP Harness]] — the session context these repairs protect
+- [[Command Center Dotfiles]] — the repo these edits commit to
+- [[Testing Policy]] — the seams that catch broken vault structure
@@ -0,0 +1,87 @@
+---
+type: reference
+title: Command Center Dotfiles
+description: The ~/.omp repo is itself the deployment — stow-equivalent packages, full-replica rsync transport, the pre-overwrite audit for non-blank hosts, deploy.sh mechanics, and the fish/sshpass transport gotchas.
+tags: [dotfiles, omp, deploy, rsync, blankpad]
+timestamp: 2026-10-05T00:00:00-07:00
+---
+
+# Command Center Dotfiles
+
+Repo `~/.omp` is itself the deployment: packages are home-relative trees
+under `dotfiles/<pkg>/`; `scripts/deploy.sh` symlinks live files into the
+repo checkout. `git pull` + `deploy.sh` is the whole propagation story.
+
+## Transport decision (agreed with Frank, executed 2026-09-09)
+
+- Ship via **full-replica rsync of `/home/dank/.omp/` including `.git`** to
+  `<user>@<host>:/home/<user>/.omp/`, NOT clone-from-Gitea — `main` can be
+  ahead of `origin/main`; push is a user-only trigger, so clone would ship
+  stale state.
+- Deploy runs on-target as the target user: `bash
+  /home/<user>/.omp/scripts/deploy.sh` (resolves the repo via `git -C
+  $(dirname $(realpath $0)) rev-parse --show-toplevel`, so `.git` must be
+  present at the target path — full-replica transport guarantees this).
+
+## Pre-overwrite audit (MANDATORY before first sync on a non-blank host)
+
+Diff every file that `deploy.sh --check` reports as DRIFT against the repo
+copy BEFORE letting quarantine-and-replace run. Host-specific divergence
+belongs in an override package, not in quarantine:
+
+1. Pull divergent live files from target
+   (`ssh ... 'cat <path>' > local-staged-copy`).
+2. Secret-audit staged copies (grep token/secret/password/key shapes)
+   before anything enters git.
+3. Compose `dotfiles/zz-<hostname>/` on the source machine from those live
+   copies; commit to repo first.
+4. Ship the package dir via rsync, then run deploy sync — override deploys
+   LAST and win over base packages.
+
+## deploy.sh mechanics (verified on blankpad)
+
+- `--check` = pure report (ADOPT/LINK/DRIFT lines), writes nothing. Run it
+  first, always.
+- Default mode = sync: adopt identicals silently, link new,
+  quarantine-and-replace divergents into `.quarantine/<host>/<ts>/`
+  (gitignored; never rm).
+- **Override-target bug (fixed cc2c652):** `zz-<host>` packages nest
+  base-package dirs internally (`zz-blankpad/niri/.config/...`); target
+  derivation must strip the nested package segment, else overrides deploy to
+  phantom `$HOME/niri/.config/...` while real targets keep pointing at
+  canonical copies (visible symptom: check shows 0 actions but
+  `readlink ~/.zshrc` points at base `zsh/.zshrc`).
+- systemd units auto-enable only when ExecStart binary resolves on that
+  host; dconf packages load via `dconf load /`, never symlinks.
+- `core.hooksPath=.githooks` is armed by deploy.sh per machine — set it once
+  post-transfer even before first sync.
+
+## ssh/sshpass transport gotchas (all bit live)
+
+- Resolve the target via mDNS FQDN (`avahi-resolve -4 -n <host>.local`); a
+  bare hostname may not resolve. Drop-not-refuse on port 22 = sshd down or
+  firewall default-drop, not auth failure — needs a local/console fix on
+  target.
+- `SSHPASS='...' sshpass -e ssh ...` inline per invocation; an env passed
+  via the tool's env parameter did not propagate to the sshpass child
+  process.
+- The remote login shell may be **fish**: never send bash syntax
+  (`for/do/done`, `$?`) bare through `ssh host 'cmd'`; wrap as `bash -c
+  "..."` or ship a script. See [[SSH and Remote Access]].
+- File shipping: `ssh 'cat > /remote/path' < localfile` (stdin redirect). A
+  here-doc attached to the ssh command is consumed by `cat` — the intended
+  script body becomes the file content, silently. Verify shipped bytes with
+  an md5sum compare on both ends; do NOT compare `/dev/stdin` after `cat`
+  drained it (false DIVERGED).
+
+## Verification of a completed deploy
+
+Re-run `deploy.sh --check` → expect exactly zero actions/quarantined/skipped
+= idempotent steady state. Spot-check `readlink` on override files points
+into `dotfiles/zz-<host>/`, not base packages.
+
+## Related
+
+- [[SSH and Remote Access]] — the transport mechanics this deploy rides
+- [[Noctalia and Niri]] — the desktop packages this repo ships
+- [[Deploy State Triage]] — the serverAppConfig deploy flow (different repo)
@@ -0,0 +1,274 @@
+---
+type: reference
+title: OMP Harness
+description: The omp agent harness as configured on this fleet — compaction chain arithmetic, per-model sampler routing via compat.extraBody, and the static-preamble/skill-library audits that keep session context lean.
+tags: [omp, harness, compaction, models-yml, context, samplers]
+timestamp: 2026-10-05T00:00:00-07:00
+---
+
+# OMP Harness
+
+The harness reaches the fleet through `~/.omp/agent/models.yml` (model
+registry; single source of truth — there is no copy on the servers) and
+`~/.omp/agent/config.yml` (roles, compaction, global samplers). Nothing in
+this file is repo-managed; edits are harness-side only.
+
+**Model ids are the StarCraft unit names (official 2026-10-08, on the wire
+since 2026-10-09):** `frank-archon` (dankserver :7770, radiance),
+`frank-dragoon` (dankclaw :7770, flash-server), `frank-zealot` (dankclaw
+:7771, the 3090 compaction hub) — formerly `frank-primary`, `frank-large`,
+`frank-secondary`. The SERVICES keep the old names (units, scripts, env
+files, runbook pages); pages written in the old era name the service,
+the harness names the model. The wire now matches: each endpoint's
+`/v1/models` answers with the Protoss name, so `models.yml`, the OpenWebUI
+picker/grants, the homepage docs and the raw API all use one id per model
+(see [[OpenWebUI]] for the grant re-key and the [[frank-primary-radiance-swift15-w4dn8]]
+note on radiance echoing the requested name).
+
+## Compaction chain arithmetic (verify before ANY window change)
+
+When a fleet endpoint's context grows past its harness-declared window, OMP
+compacts by sending the conversation to a designated target model. Before
+changing any `contextWindow`/`maxTokens`, verify the chain arithmetically —
+a target whose window is smaller than the source's trigger point silently
+breaks compaction.
+
+Where the contract lives:
+
+- `~/.omp/agent/config.yml` → `compaction.remoteEndpoint` (target URL),
+  `methodOrder`, `thresholdPercent` (70), idle settings
+- `~/.omp/agent/models.yml` → per-model `contextWindow`, `maxTokens`,
+  `compactionModel` references
+- Implementation: omp plugin `dist/core/compaction/compaction.js`
+
+The arithmetic (the coupled contract every endpoint's maxTokens comment
+encodes):
+
+1. **Source trigger** = `thresholdPercent × source contextWindow`
+   (0.70 × 200,704 = 140,492 for frank-primary on the current shape)
+2. **Output budget** = capped at the target model's `maxTokens`
+   (32,768 for frank-secondary; 36,864 frank-primary; 57,344 frank-large — the
+   largest, because halogen's `HALOGEN_MAX_TOKENS_CAP` must stay ≥ it)
+3. **REQUIREMENT**: prompt (≤ trigger) + budget ≤ the target's per-slot
+   window. Worked pairs from the live registry: 140,492 + 36,864 = 177,356 ≤
+   200,704 (frank-primary); 140,490 + 57,344 = 197,834 ≤ 200,700
+   (frank-large); 140,492 + 32,768 = 173,260 ≤ 200,704 (frank-secondary).
+
+Procedure (recompute from the LIVE files every time — windows rotate with
+every swap; the numbers above are the 2026-10-05 state):
+
+1. Read the `config.yml` compaction block + `models.yml` entries for source
+   and target. Every endpoint's `contextWindow` comment carries its own
+   arithmetic — read them.
+2. Read the target checkpoint's `max_position_embeddings` (native window) —
+   the served window may be a concurrency contract, not the native limit
+   (`--parallel N` DIVIDES the pool; the per-slot number is the contract).
+3. If native ≥ trigger + budget, reslice the pinned pool:
+   `MAX_RUNNING × CONTEXT_LENGTH ≤ MAX_TOTAL_TOKENS` (the pin exists because
+   the runtime's autofit leaves too little for deferred loads + prefill
+   workspace; check `nvidia-smi` headroom — expect ~0.8 GB workspace margin).
+4. Changes: host env (CONTEXT_LENGTH-style env tunables) via git →
+   `./tests/run.sh` → deploy; harness `models.yml` directly (no repo copy).
+5. Verify: `/health` 200, boot log's pool line, then a long-prompt probe at
+   ≥ trigger height (the compaction-fit guarantee), then concurrent requests.
+
+Known reconciliation trap: comments in models.yml have described compaction
+as running "on the dankserver endpoint" while `remoteEndpoint` pointed at
+dankclaw — the comment/config disagreed. The comments now name the real
+target (`compaction.remoteEndpoint` = dankclaw :7771). **The config is
+truth; fix comments in the same change.** `maxTokens` never changes for a
+reslice — it caps output; `contextWindow` caps input. Boot-shape OOM
+laddering is a different problem ([[Llama Cpp Serving Sizing]]).
+
+## Per-model sampler config (`compat.extraBody`)
+
+`models.yml` has **no per-model sampler keys**. Sampling is global
+(`config.yml`: `temperature`, `topP`, `topK`, `minP`, `presencePenalty`,
+`repetitionPenalty`; default `-1` = **not sent**). The per-model hook is
+`compat.extraBody`:
+
+**Why it works:** `applyOpenAIExtraBody` runs **last** in the
+openai-completions builder — after `applyChatCompletionsCompatPolicy` — via
+`Object.assign(params, extraBody)`. So extraBody overrides global settings
+and compat-policy output.
+
+```yaml
+compat:
+  reasoningEffortMap:
+    max: xhigh
+  extraBody:
+    temperature: 1.0
+    top_p: 0.95
+    top_k: 20
+    min_p: 0.0
+    presence_penalty: 0.0
+    repetition_penalty: 1.0
+    preserve_thinking: true
+```
+
+Use **wire names**, not OMP camelCase. Two traps:
+
+1. **`preserve_thinking` is not user-settable as a compat key.**
+   `qwenPreserveThinking` is auto-derived in `buildOpenAICompat` from the
+   *auto-detected* `thinkingFormat` + local baseUrl, **before**
+   `applyCompatOverrides`. Setting `compat.thinkingFormat: qwen` in
+   models.yml does **not** enable it. Custom-named models (`frank-large`)
+   match no Qwen id pattern → use `extraBody: {preserve_thinking: true}`.
+2. **Never put `chat_template_kwargs` in `extraBody`** where a compat policy
+   also sets it — `Object.assign` is shallow and replaces the whole object,
+   silently dropping the `reasoning_effort` kwarg the compat policy set.
+   Top-level `preserve_thinking` is honoured by halogen. (frank-primary's
+   FreeToken entry currently carries a `chat_template_kwargs` extraBody with
+   a comment asking to verify-and-prune — the exact trap to check at that
+   endpoint's next swap.)
+
+**Gotcha: silent greedy decode.** halogen has **no server-side sampler
+defaults** — `temperature` absent or `0` = greedy. If OMP sends nothing, the
+endpoint decodes greedy while looking configured. This is why frank-large's
+entry carries the recipe on the wire and a comment saying "do not drop it".
+
+**Reasoning-effort folding.** Qwen3.8's template accepts only
+`{xhigh (default), medium, low}` for `reasoning_effort` and 400s on anything
+else ("Unexpected reasoning effort high"). Every endpoint's
+`reasoningEffortMap` folds all harness levels onto that set; a role whose
+level is unmapped fails on its FIRST request, and the failure names Jinja,
+not the model.
+
+### Verify the exact wire body (echo-capture)
+
+Don't trust the YAML — capture what OMP actually emits:
+
+1. Echo server on `127.0.0.1:18099` that dumps the JSON body to a file and
+   returns a canned `chat.completion` (include `reasoning_content` so
+   thinking paths exercise).
+2. Copy the **real** models.yml into a throwaway profile with only the
+   baseUrl swapped:
+   ```bash
+   sed 's|http://<host>:7770/v1|http://127.0.0.1:18099/v1|' \
+     ~/.omp/agent/models.yml > ~/.omp/profiles/wiretest/agent/models.yml
+   ```
+3. Run and inspect:
+   ```bash
+   omp --profile wiretest --model "<provider>/<model>" -p "hi" \
+     --no-tools --no-session --no-extensions --no-skills --no-rules
+   jq 'del(.messages, .tools)' last-body.json
+   ```
+   Confirm every intended field is present with the right value.
+
+**Verify a field is *honoured*, not just accepted** — unknown fields often
+return 200 anyway. Prove behavior with a **prompt-token delta**: replay an
+assistant turn carrying a long `reasoning_content`, then compare
+`usage.prompt_tokens` with the flag true vs false. A large delta means the
+field changed template rendering; zero delta means it was ignored.
+
+Cleanup: trash the probe profile and echo server (`profiles/.AGENTTRASH`),
+never `rm`.
+
+## Static-preamble audit ("the context feels bloated")
+
+What loads statically every session (measure each, don't guess):
+
+1. Repo rules file — `wc -c AGENTS.md` (baseline 2026-10-05: 72,179 B, ~18k
+   tokens — historically the largest block).
+2. Skill index — only names+descriptions load; bodies are on-demand. Sum
+   description bytes across all SKILL.md frontmatter:
+   ```bash
+   python3 - <<'EOF'
+   import glob, re, os
+   for root in [os.path.expanduser("~/.omp/agent/managed-skills"),
+                os.path.expanduser("~/.omp/agent/skills"), ".omp/skills"]:
+       n=tot=0
+       for sk in glob.glob(root+"/*/SKILL.md"):
+           fm=re.search(r'^---.*?---', open(sk, encoding="utf-8", errors="replace").read(), re.S)
+           d=re.search(r'description:\s*(.*(?:\n(?:\s{2,}.*)*)?)', fm.group(0) if fm else "")
+           n+=1; tot+=len(d.group(1)) if d else 0
+       print(root, n, tot)
+   EOF
+   ```
+   Baseline 2026-10-05: 171 managed skills / ~38 KB descriptions + 9 user
+   skills.
+3. Memory lessons — `find ~/.omp/agent/memories -name 'MEMORY.md' -o -name
+   'memory_summary.md' | xargs wc -c`. The injected block ≈ the largest
+   MEMORY.md.
+4. Harness/system prompt + tool schemas + CLI persona: fixed cost, ~20 KB;
+   not prunable.
+
+Known rot patterns:
+
+- Near-duplicate auto-captures of the same lesson (three "authentik ORM"
+  entries, the freetoken-build pair, the three job-runner skills) — dedupe
+  via `manage_skill delete`/`update`.
+- Corrupted captures containing stray CJK characters (`一团ly`, `等方法`)
+  mid-sentence — a known defect of the auto-capture path; delete the corrupt
+  copy, keep the clean one.
+- Stale host/service names in consolidated memory (pre-rename
+  `frank-default-large`) — the repo's AGENTS.md topology table is ground
+  truth.
+
+Fix strategy: AGENTS.md prose (measured runbook narratives) → move to
+`serverAppConfigs-docs/LLM/` runbooks, keep laws + tables in AGENTS.md (the
+repo's own docs-tree rule mandates this). Managed skills live in
+`~/.omp/agent/managed-skills` (safe to edit); user-authored skills in
+`~/.omp/agent/skills` are NEVER touched by tooling. Memory store edits:
+stage removed captures to trash first (`~/.AGENTTRASH/YYYYMMDD-topic`).
+
+Baseline to beat (2026-10-05): ~35–40k tokens of preamble — AGENTS.md ~18k,
+skill index ~10k, lessons ~3.5k, harness ~6k. Proposed reductions: −12k
+(AGENTS.md slimming), −3k (skill dedupe).
+
+## Managed-skill library hygiene
+
+Use when auditing, pruning, or consolidating `~/.omp/agent/managed-skills`
+(the auto-captured skill store; the full index is injected into EVERY
+session's context, so dead or duplicate entries are a permanent tax).
+
+The static-context budget (measured 2026-10-05):
+
+| Block | Size | Notes |
+|---|---|---|
+| `AGENTS.md` (repo) | 72,179 B ≈ 18k tok | biggest single item |
+| Skill index (~173 skills) | ~40 KB ≈ 10k tok | names+descriptions only |
+| Learned-lessons block | ~14 KB | can contain corrupted/duplicate captures |
+| Harness system prompt + tool schemas | ~23 KB | fixed |
+
+Audit procedure:
+
+1. Build an inventory: per skill, name, mtime, body word count, description,
+   first 12 headings (one pass, out to a file; read in pages).
+2. Group into: retired-runtime (host/service gone; its runbook already lives
+   in `serverAppConfigs-docs/LLM/`), verbatim-duplicate pairs/triples (same
+   lesson captured twice — often the SAME DAY), same-lesson families
+   (N skills = one procedure), keep.
+3. Read full bodies of every merge candidate before proposing a merge;
+   description alone proves overlap only for exact dupes.
+4. Present A/B/C/D verdicts for user approval. NEVER execute before the
+   discussion concludes — the user gates execution explicitly.
+5. On approval: stage everything to trash first
+   (`~/.AGENTTRASH/YYYYMMDD-<topic>/`), never rm. After merging: recreate
+   the surviving skill via `manage_skill` update with body = superset,
+   delete absorbed ones.
+
+Known rot classes (this library, 2026-10-05):
+
+- Same-day duplicate captures (freetoken-build-dankclaw vs
+  freetoken-dankclaw-build; the three job-runner skills).
+- CUDA-skill vs its self-declared HIP twin (pcie-link-capability-probe vs
+  pcie-link-probe-hip-rdna4) → merge.
+- Era ghosts: skills naming retired runtimes (freetoken, lucebox, r9v/
+  radiance, old halogen-flash-server image, ik_llama, GLM-5.3 experiment).
+- Skills contradicting user standing orders (live-bench-dashboard vs the
+  2026-09-29 delete-dashboards order) — flag for user, don't assume.
+- Memory store: corrupted captures with CJK noise from broken ssh commands;
+  stale host/service renames.
+
+Sizing verdicts that worked: bench family → 2 skills (harness vs
+discipline), not one mega-skill; keep profiler/kernel-time attribution
+standalone; fold go/no-go arithmetic skills into their probe skill
+(heterogeneous-accelerator-split-triage → PCIe probe).
+
+## Related
+
+- [[Agent Docs and Edits]] — editing vault docs and hashline targets safely
+- [[Command Center Dotfiles]] — the `~/.omp` repo deploy this config rides
+- [[Llama Cpp Serving Sizing]] — the engine-side sizing the chain must fit
+- [[LLM Bench Windows and Measurement]] — measuring the endpoints this config routes
@@ -0,0 +1,23 @@
+---
+type: index
+description: Pages about the agent harness itself — omp config, vault editing discipline, and the dotfiles repo that deploys the agent's own home.
+tags: [agent, index]
+timestamp: 2026-10-05T00:00:00-07:00
+---
+
+# Agent
+
+Pages about the agent's own tooling and context — how omp is configured, how
+docs get edited safely, and how the agent's home is deployed.
+
+- [[OMP Harness]] — compaction chain arithmetic, per-model samplers via
+  `compat.extraBody`, preamble and skill-library audits
+- [[Agent Docs and Edits]] — doc-structure audits after parallel edits;
+  hashline edit recovery
+- [[Command Center Dotfiles]] — the `~/.omp` repo-as-deployment, rsync
+  transport, override packages
+
+## Related
+
+- [[Testing Policy]] — the seams these pages' checks ride
+- [LLM](../LLM/index.md) — the fleet these agents operate
@@ -0,0 +1,151 @@
+---
+type: reference
+title: Deploy State Triage
+description: Reading and reconciling the deploy-state markers — stale marker vs live container, pending-service lockout, interrupted/raced deploys — without restarting healthy heavy endpoints.
+tags: [deployment, deploy-state, systemd, podman, triage]
+timestamp: 2026-10-05T00:00:00-07:00
+---
+
+# Deploy State Triage
+
+The deploy-state store is `~/.local/state/serverAppConfigs/deploy-state/<svc>`
+on each target (rootless, user `dank`, format exactly two lines
+`revision=<sha>` / `status=deployed|pending`, written atomically via tmp file
+ `mv`). It is written ONLY by a `deploy.sh` dispatch.
+
+## 1. Stale marker vs live container
+
+**Why it happens:** an out-of-band relaunch — reboot, `systemctl restart`, or
+a restart after the checkout ff-pulled to a newer revision — starts the
+container from the CURRENT `scripts/<svc>.env` but does NOT advance the
+marker. So `marker != HEAD` means "not dispatched via deploy.sh", NOT
+"behavior pending".
+
+**Why it matters:** a plain `deploy.sh` run re-selects and restarts a service
+whose marker lags. On llama.cpp/R9V endpoints that is a ~16–19 min reload of
+a 100+ GiB payload — and frank-primary (dankserver:7770) is also the
+harness's own model backend, so a blind deploy is a self-inflicted outage for
+possibly zero behavioral change.
+
+**Procedure (read-only first):**
+
+1. Committed state: `git log --oneline main..<branch>` empty ⇒ merged; the
+   operational delta is usually one `scripts/<svc>.env`.
+2. Probe the target (ssh as `dank`, passwordless sudo present):
+   - `cat ~/.local/state/serverAppConfigs/deploy-state/<svc>`
+   - `git -C ~/serverAppConfigs rev-parse HEAD`
+   - `systemctl is-active/is-enabled <svc>`;
+     `curl -s -o /dev/null -w '%{http_code}' http://127.0.0.1:<port>/health`
+   - the on-host env file already carries the new keys (it landed via the
+     ff-pull).
+3. **Decisive — read the LIVE container, not the marker.** Use `podman` as
+   `dank` (rootless store; bare `docker` is NOT the shim → "No such object";
+   `sudo podman` inspects an empty store):
+   - `podman inspect <ctr> --format '{{.State.StartedAt}}'` — booted AFTER
+     the pull ⇒ it read the new env
+   - `podman inspect <ctr> --format '{{.Args}}' | tr ' ' '\n' | grep -i <flag>`
+   - engine env: `podman exec <ctr> sh -c 'for f in /proc/[0-9]*/environ; do
+     tr "\0" "\n" <$f 2>/dev/null; done | grep -i <VAR>'`
+   - confirm the launcher maps each tunable to its flag
+     (`grep scripts/launch.sh`), e.g. `R9V_ENABLE_PREFIX_CACHING=1 →
+     --enable-prefix-caching`.
+
+**Decision:** live argv+env == target config AND `/health` 200 ⇒ behavior is
+live — **do NOT restart**; reconcile the marker (below). Only if the live
+container lacks the flag/env (or predates the pull) is a real
+`deploy.sh <target> --service <svc>` warranted.
+
+**Reconcile (no restart)** — mirror the deployer's atomic idiom:
+
+```bash
+S=$HOME/.local/state/serverAppConfigs/deploy-state
+H=$(git -C ~/serverAppConfigs rev-parse HEAD)
+t=$(mktemp "$S/.<svc>.XXXXXX"); printf 'revision=%s\nstatus=%s\n' "$H" deployed > "$t"; mv -f -- "$t" "$S/<svc>"
+```
+
+Then prove the gate: `./tests/run.sh` + `tests/e2e/run.sh` (needs
+`tests/e2e/.env.local`; expect the documented `11-admin` red if the
+FrankBook-Pro Mac mini 192.168.0.112 is ASLEEP — confirm with `ping -c2` +
+a `/dev/tcp` probe: 100 % loss + timeout = host off, not a regression).
+Log to `serverAppConfigs-docs/log.md`; commit + push (docs-only ⇒ deploy
+no-op).
+
+**Anti-patterns:** trusting a commit message ("X deployed") or the marker
+alone — both are bookkeeping; the container's argv/env is ground truth.
+Reading container state with `sudo podman` / bare `docker`. Restarting a
+healthy heavy endpoint to satisfy a stale marker.
+
+## 2. Pending lockout
+
+Symptom: `deploy.sh <target>` fails or silently stops with
+`service <name> is not deployed on <target>` and the `[3/3]` e2e gate never
+appears.
+
+1. **Get the real exit code first:** `./scripts/deploy.sh X 2>&1 | tail`
+   reports TAIL's 0 — use `set -o pipefail` or redirect to a file, then
+   `echo $?`.
+2. Inspect the state store (no sudo):
+   `ssh <target> 'cat ~/.local/state/serverAppConfigs/deploy-state/<name>'`.
+   A `status=pending` entry for a service absent from `service_is_allowed`
+   in `scripts/deploy-remote.sh` = retired-service lockout.
+3. Fixed behavior (since 02a7876, 2026-09-17): `add_pending_services` prunes
+   not-allowed pending entries to
+   `~/.AGENTTRASH/<YYYYMMDD>-retired-deploy-state/<service>` and the run
+   continues. Verify the WARN line names the service and the state file is
+   gone.
+4. On a host without the fix: move the stale entry to
+   `~/.AGENTTRASH/<date>-retired-deploy-state/` manually (never `rm`), re-run.
+5. Verify: deploy reaches `[3/3] Running Playwright e2e gate` and completes;
+   `deploy-state/` no longer holds the retired name.
+
+Related contracts: the superseded seam
+(`deployment_scoping.bats` "remote runner recognizes a pending service at
+the same revision") now asserts prune-and-continue (exit 0), not exit 2;
+`deployment_flow.bats` extracts `add_pending_services` via sed and
+HOME-overrides the trash path. **When retiring a service going forward:**
+delete or reconcile its deploy-state entry as part of the retirement commit —
+the prune is a safety net, not the intended cleanup path.
+
+## 3. Interrupted or raced deploys
+
+The deploy is TWO processes: `deploy.sh` (dev box) and `deploy-remote.sh`
+(runs on the target over ssh). **Killing the dev-side job does NOT kill the
+host-side one** — two `deploy-remote.sh` processes can end up managing the
+same unit, one deploying a revision you already superseded. Check:
+`pgrep -af "deploy-remote"` on the target, read the revision argument on
+each, kill stale ones by explicit PID.
+
+A killed deploy leaves behind:
+
+- the unit **stopped/failed** (`Restart=always` does NOT fire after an
+  explicit stop — start it yourself);
+- the state marker **pending** (pre-deploy or in-flight revision);
+- the e2e gate un-run (the deployer runs it last).
+
+Reconcile the marker ONLY after the service itself is verified healthy — a
+marker that runs ahead of reality is worse than one that lags (the planner
+uses it to decide what is pending). Then close the loop:
+
+1. Verify against MEASURED, config-specific numbers (KV capacity line, arena
+   slots, argv flags, `NRestarts`), not just health 200.
+2. Run the gate the dead deploy skipped (`tests/e2e/run.sh` from a checkout
+   that has the gitignored `tests/e2e/.env.local` — a fresh `git worktree`
+   does NOT have it; copy it in first).
+3. If the killed revision was restoring a known-good shape, confirm the
+   numbers match the last measured-good boot of that shape — equality is the
+   proof, not health alone.
+
+Boot failures must be read from the journal, not `podman logs`: serve scripts
+`podman rm -f` the container on every start (previous attempt lost), and
+`podman logs` on a container still *Stopping* returns the OLD configuration's
+numbers — which looks exactly like your change having no effect. Key on
+container identity (`podman ps -a --format '{{.CreatedAt}}'`) and read the
+cause from `journalctl --since "N min ago" | grep -a "<container-name>\["`.
+See [[vLLM Boot Forensics and Config Interrogation]] for the full capture
+procedure.
+
+## Related
+
+- [[Deployment Flow]] — the deploy pipeline itself
+- [[Quadlet Lifecycle]] — unit ownership and drift diagnosis
+- [[vLLM Boot Forensics and Config Interrogation]] — journal capture
@@ -63,7 +63,7 @@ service on the other host.
 | Dankclaw compose services | `podman-compose -f dankclaw/compose.yaml up -d --no-deps NAME` | Recreates only `NAME`; Caddy is handled separately because it fronts both hosts. |
 | SearXNG, Gluetun, Valkey, OpenWebUI, Pi-hole, Gitea database/server | user Quadlet + `systemctl --user` | Installs the selected unit and restarts only the required dependency-coupled units. Gitea's web proxy is the canonical Caddy compose service. |
 | `frank-large` | systemd + `systemctl` (root unit) | Relinks and restarts only the large inference service; waits up to 20 minutes for `/health`. |
-| `frank-small` | systemd + `systemctl` (root unit) | Relinks and restarts only the small inference service; waits up to 20 minutes for `/health`. |
+| `frank-secondary` | systemd + `systemctl` (root unit) | Relinks and restarts only the small inference service; waits up to 20 minutes for `/health`. |
 | `frank-medium` | rootless Quadlet + `systemctl --user` | Installs `dankserver/frank-medium/quadlet/frank-medium.container`; on first deploy retires the llama.cpp root unit and the vLLM replica quadlets into the home trash, then restarts the generated unit. Waits up to 20 minutes for `/health`. |
 | Dankserver media stack (RomM trio, Jellyfin, Calibre-Web, Copyparty) | user Quadlet + `systemctl --user` | Installs `dankserver/<svc>/quadlet/*.container`, restarts the generated unit. The first cutover per service is idempotent: it retires the compose-era bare container, rescues any anonymous volume into the data root, and merge-moves `/opt/<svc>` to `/home/dank/Containers/<svc>` (mapped-uid roots move without chown). Steady state is restart-only. |

@@ -20,11 +20,12 @@ user sees it; the `bats` seams assert config shape, not behavior.

 | Path | Role |
 |------|------|
-| `playwright.config.ts` | four projects (below), real-browser UA, trace on failure |
+| `playwright.config.ts` | five projects (below), real-browser UA, trace on failure |
 | `specs/00-auth.setup.ts` | setup project: two real authentik logins, saves storage states |
 | `specs/10-homepage.spec.ts` | user panel set + open links derived from `services.json` (registry-derived — no hardcoded service lists) |
 | `specs/11-admin.spec.ts` | `admin` project: admin grid + `/admin/` RBAC (403 for standard user, members-only 200) |
 | `specs/12-crawl.spec.ts` | every user open link reaches its real app through the guard chain |
+| `specs/19-frankbook.spec.ts` | `frankbook` project: walks the six admin links that terminate on FrankBook-Pro (192.168.0.112) — conditional, see below |
 | `specs/13-sso.spec.ts` | direct guarded-vhost visits resolve silently with ONLY the homepage session (single-login enforcement) |
 | `specs/14-guard.spec.ts` | `guest` project, no storage state: unauthenticated traffic lands on the IdP login |
 | `lib/login.ts` | `akLogin` helper (two-stage flow, shadow-DOM locators) |
@@ -38,7 +39,16 @@ user sees it; the `bats` seams assert config shape, not behavior.
  `.auth/qa-e2e{,-admin}.json` storage states.
 - **standard** — 10/12/13 with the user state.
 - **admin** — 11 with the admin state.
- **guest** — 14 with an empty state.
+- **guest** — 14/15 with an empty state.
+- **frankbook** — 19 with the admin state. **Excluded from every default run**: the
+  *arr/qBittorrent links terminate on FrankBook-Pro, which sleeps when idle, and a
+  sleeping Mac mini must never fail an unrelated deploy. The project joins only
+  when `E2E_INCLUDE_FRANKBOOK=1` (set by `scripts/deploy.sh` when a frankbook
+  trigger path changed: `tests/e2e/specs/19-frankbook.spec.ts`, `frankbook-pro/**`,
+  `shared/homepage/services.json`, or the `dankclaw/Caddyfile` serving the arr
+  vhosts) or when an explicit `--project` argument names it. An `11-admin` edit
+  that touches the arr links must therefore be paired with a `19-frankbook` run
+  against an awake host before it is trusted live.

 Credentials live in `tests/e2e/.env.local` (git-ignored; placeholders in
 `.env.local.example`). The scaffold bats seam fails the commit if creds or
@@ -47,8 +57,9 @@ auth states are ever tracked.
 ## Run

 ```bash
-cd tests/e2e && npx playwright test            # all projects
-npx playwright test --project=standard 12-crawl.spec.ts   # one slice
+tests/e2e/run.sh                          # default set — frankbook project excluded
+E2E_INCLUDE_FRANKBOOK=1 tests/e2e/run.sh  # default set + the frankbook walk
+cd tests/e2e && npx playwright test       # ALL projects, frankbook included
 ```

 Requires LAN reachability of `www.franksdank.cloud` (Pi-hole DNS or public).
@@ -0,0 +1,209 @@
+---
+type: reference
+title: Quadlet Lifecycle
+description: The full Quadlet discipline on this fleet — ownership auditing, compose-to-Quadlet cutover, drift/crash-loop diagnosis, the podman 5.x v1 generator quirks, log retrieval, and compose bring-up with ground truth.
+tags: [podman, quadlet, systemd, boot-persistence, compose, drift]
+timestamp: 2026-10-05T00:00:00-07:00
+---
+
+# Quadlet Lifecycle
+
+Fleet rule (AGENTS.md "Boot Persistence & Self-Healing"): every deployed,
+working container MUST have a self-healing, boot-persistent Quadlet unit —
+`.container` file in the repo (`<host>/<svc>/quadlet/`), installed by the
+deployer, `[Install] WantedBy=default.target`, `Restart=always`, linger on.
+A container that runs only from compose dies silently at reboot. This page
+is the operating manual for that lifecycle.
+
+## 1. Ownership audit — find the containers that will not survive a reboot
+
+```bash
+for c in $(podman ps --format '{{.Names}}'); do
+  printf '%-26s %s\n' "$c" "$(podman inspect $c --format '{{index .Config.Labels "PODMAN_SYSTEMD_UNIT"}}')"
+done
+```
+
+- **label present** → the unit owns it; persistence = `[Install]` + `loginctl
+  show-user <user> -p Linger` = yes.
+- **label absent, compose service exists** → the classic gap: dies at reboot.
+  Check the publish address while there — compose forms often bind the
+  wildcard (an unauthenticated UI/API on every interface).
+- **label present AND a compose service with the same name** → two owners; a
+  stray `podman compose up` can create a duplicate that fights the unit for
+  the name and the port. Remove the compose service, leave an explanatory
+  comment (repo convention).
+
+## 2. Cutover: compose service → Quadlet unit
+
+Checklist (precedents to copy:
+`dankclaw/{caddy,gitea,searxng,open-webui,seerr}/quadlet/`,
+`dankclaw/observability/quadlet/`):
+
+1. Unit file at `<host>/<svc>/quadlet/<name>.container`, mirroring compose
+   line for line: `Image=` (`localhost/` prefix for locally built images +
+   `Pull=never`), `ContainerName=` (Caddy and scrape configs address
+   containers by name), `Network=`, `User=0:0` when the image's own user
+   cannot write a rootless-owned bind mount, `Volume=` (`:ro` preserved),
+   `Exec=` for compose `command:`, `PublishPort=`, health keys,
+   `[Service] Restart=always` + `RestartSec=10`, `[Install]
+   WantedBy=default.target`. **Never `systemctl --user enable` the generated
+   unit** — `[Install]` + linger IS the persistence (`is-enabled` = `generated`
+   is healthy; explicit enable fails with "transient or generated").
+2. Exposure: publish on `127.0.0.1` unless something off-host genuinely needs
+   it (Caddy reaches containers by name over the shared network; the wildcard
+   publish is a guard-chain bypass).
+3. Handler in `scripts/deploy-remote.sh`: `install_quadlet <dir> <name>` →
+   `systemctl --user restart <name>.service` → `wait_for_health`; retire any
+   legacy hand-written unit into `~/.AGENTTRASH/` (a leftover
+   `~/.config/systemd/user/<svc>.service` that shells out to
+   `podman compose up` collides BY NAME with the generated unit);
+   `podman rm -f <container>` so the unit's container can take the name.
+4. Planner: map `<host>/<svc>/**` → service in `scripts/deploy-plan.py`
+   AND add a `service_is_allowed` entry; keep `SERVICE_ORDER` dependencies
+   ordered. Add a `test-changed` case above the generic
+   `*/quadlet/*.container` fallback.
+5. Retire the compose entry in the SAME change — two owners is how a stale
+   duplicate comes back.
+6. Seam test `tests/<svc>_quadlet.bats`: boot persistence, restart policy, no
+   wildcard publish, container name matches Caddy/scrape references, health
+   command, deployer installs+restarts+waits, never `rm`, never `enable`.
+   Migrate any older assertion that read the compose file for devices/flags.
+7. Deploy `--service <name>`; prove: `is-active`/`is-enabled` =
+   active/generated, container `healthy`, endpoint answers,
+   `list-dependencies default.target` shows the unit, off-host probes on
+   previously published ports now refuse, and the container no longer carries
+   `io.podman.compose.project`.
+
+**Traps that cost real time:**
+
+- `HealthCmd` = CMD-SHELL (podman runs `/bin/sh -c`); a distroless image has
+  no shell → the check fails forever. `--health-cmd` won't take exec form
+  either. Put `HEALTHCHECK … CMD ["binary","arg"]` in the image and build
+  with `--format docker` — the default OCI format has no HEALTHCHECK field
+  and drops it with only a warning.
+- Never point a unit's `EnvironmentFile` at the repo-root `.env` — it is a
+  gluetun env carrying `HOME=/root`; systemd sets HOME for the service and
+  the unit dies with `stat /root/.config: permission denied`. Use a
+  per-service env under `/home/dank/Containers/<svc>/env`, seeded by the
+  handler with a single-variable filter, validated so a missing secret fails
+  loudly.
+- `Network=host` exporters scraped by containerized Prometheus must bind the
+  host's LAN address (containers cannot reach host loopback) PLUS `127.0.0.1`
+  for the homepage probe — two `--web.listen-address` flags, never the
+  wildcard.
+- alloy 1.x refuses the `ui` config block; the unit must pass
+  `--server.http.listen-addr=0.0.0.0:12345` before its port can be published.
+- GPU services: `AddDevice=` + `GroupAdd=keep-groups` (user-unit spawns carry
+  no supplementary groups).
+- When the last service leaves a compose file, the compose-validity seam
+  fails (requires ≥1 service): keep the file as comments and relax the seam
+  deliberately, or delete the file and fix the planner's compose-diff path —
+  decide with the owner, the deploy tooling reads it.
+
+## 3. Drift / crash-loop diagnosis (5 minutes, in order)
+
+Symptom: crash-looping or perpetually unhealthy container whose DEFINITION
+looks right; or a service quietly down for days because a restart policy kept
+something running. Cause: the running container was created from an OLDER
+definition — a compose/unit edit does not touch an existing container, and
+the restart policy faithfully resurrects it forever.
+
+1. **Who started it:** `podman inspect <name> --format 'unit={{index
+   .Config.Labels "PODMAN_SYSTEMD_UNIT"}} restart={{.HostConfig.RestartPolicy.Name}}
+   created={{.Created}}'`; compare `created` with when the definition changed
+   (`git log -p --follow <config>`). Created-before-the-edit is the signature.
+2. **What it is ACTUALLY running:** `{{.Config.CreateCommand}}` is the truth.
+   `{{.HostConfig.Devices}}` / `{{.HostConfig.GroupAdd}}` print empty/0 even
+   for containers started with `--device`/`--group-add` — a false negative
+   that sends you hunting the wrong root cause.
+3. **What the process says:** `podman logs <name> | grep -iE 'error|cannot|Runtime'`
+   (a capability error like `No HIP GPUs are available` beside a missing
+   device flag confirms drift). Count the damage: `{{.RestartCount}}` — one
+   instance reached 9,146 restart attempts on stale config.
+
+Quickest unblock: `podman compose up -d --force-recreate <svc>`. Durable fix
+= the §2 cutover. **Verify the capability, not the status:** `podman exec
+<name> python3 -c "import torch; print(torch.cuda.is_available())"`;
+`ss -ltn | grep <port>` for the actual bind addresses. ComfyUI incident:
+2026-09-16, stale device-less container, 9,146 restarts. History repeats:
+2026-08-26 Caddy (no unit), 2026-09-11 five observability services.
+
+## 4. Podman 5.x quadlet v1 generator quirks (verified live 2026-08-28)
+
+- **Hard-fail keys** — the whole unit silently fails to generate
+  (`systemctl --user cat <unit>` shows "could not be found"): any
+  dash-prefixed `[Container]` option (`--shm-size=…` → `unsupported key …
+  in group 'Container'`); `Command=` is unsupported, use `Exec=`.
+- **HealthCmd space-splitting:** the v1 generator splits `HealthCmd` on
+  spaces into the healthcheck argv; a quoted probe
+  `/bin/sh -c "pg_isready …"` lands as argv token `"pg_isready` →
+  command-not-found → container reads **unhealthy while the DB is up**.
+  HealthCmd must contain only space-free tokens
+  (`HealthCmd=pg_isready -d authentik -U authentik`). If health reads
+  unhealthy but logs look fine, compare the baked
+  `{{.Config.Healthcheck.Test}}` array against the intended command before
+  believing the status.
+- **Probe a new key before shipping:** drop a throwaway `probe.container`,
+  `daemon-reload`, `journalctl --user --since "1 min ago" -o cat | grep -i
+  "unsupported key"`, `systemctl --user cat probe.service` (shows the
+  generated ExecStart verbatim), then remove + reload.
+
+## 5. Rootless Quadlet log retrieval
+
+Step 0 — establish ownership: `systemctl --user status <name>.service`
+(works ⇒ rootless user unit); `loginctl show-user <user> -p Linger`. If
+`--user` knows the unit, EVERY command runs as that user with NO sudo.
+
+| Need | Command |
+|---|---|
+| Current instance tail/follow | `podman logs --tail 200 / -f <name>` |
+| Across restarts/recreates | `journalctl --user -u <name>.service -n 200 --no-pager` |
+| Time-bounded / crash-only | `--since "14:30"` / `-p warning` |
+| Kernel-side evidence (OOM, SVM) | `sudo journalctl -k --since …` |
+
+Quadlet units commonly run `--replace --rm`: **`podman logs` is destroyed on
+recreation** — the journal is the only durable record. Traps:
+`sudo podman logs` → "no such container" (root's store does not contain
+rootless containers; same for `sudo podman ps`); a system-level
+`journalctl -u <name>` returns nothing for a user unit; during first-start
+weight downloads health reports unhealthy BY DESIGN (check the payload file
+is growing). Verbose vendor switches are a config change — through git and
+deploy.sh, never a live env poke.
+
+## 6. Compose bring-up with ground truth (rootless hosts)
+
+1. **Audit reality before pressing buttons:** `podman ps -a` runs per-user —
+   check every namespace (`sudo podman ps -a`) and native units
+   (`systemctl list-units`) before declaring a service absent. Compare
+   compose mount sources against the real filesystem — compose files name
+   phantom paths (e.g. `/mnt/media/*` vs the real LUKS array at
+   `/mnt/entropy`). Fix compose through git first, deploy second.
+2. **Pre-create bind-mount sources** (`sudo mkdir -p` + `chown 1000:1000`)
+   or creation fails `statfs …: no such file or directory`.
+3. **Staged bring-up:** infra first (`up -d mariadb redis`), poll
+   `{{.State.Health.Status}}`, then the rest. Fresh containers answer
+   000/refused for the first seconds — poll.
+4. **Never guess image tags:** ghcr.io answers 403 on the bearer-token
+   request for nonexistent/private repos ("manifest unknown"/token len 0 =
+   repo or tag does not exist, not auth). Query the registry API
+   (`ghcr.io/token?scope=repository:<ns>/<repo>:pull` →
+   `/v2/<ns>/<repo>/tags/list`).
+5. **Read the interface from inside the image** before guessing flags/envs:
+   `podman exec <ctr> cat /z/cpp.sh` etc. HTTP 500 with a styled error page
+   means RUNNING-but-misconfigured, not down. Copyparty ac ground truth:
+   entrypoint `/bin/ash /z/cpp.sh -c /z/initcfg`; accounts/volumes are ARGV
+   flags (`-a USER:PASS`, `-v SRC:DST:PERMS`), not envs — and with none
+   configured it serves cwd read/write for everyone (an unauthenticated
+   world-writable share).
+6. Remote-shell quoting: zsh eats bare `===`/`?` tokens; a zero-match from a
+   mangled pattern is not absence — re-verify the target exists.
+7. `user: "1000:1000"` SIGSEGV at boot = unmapped uid in the rootless userns
+   (host 1000 == container 0): drop the user line, run as container-root.
+
+## Related
+
+- [[Deployment Flow]] — the deployer that installs these units
+- [[Stale Signal Audit]] — the audit that catches drift's victims
+- [[Container Network Namespaces]] — reachability between containers
+- [[Dankclaw/ComfyUI]] — the 9,146-restart incident
+- [[Infrastructure/Observability]] — same class, twice
@@ -0,0 +1,144 @@
+---
+type: reference
+title: Stale Signal Audit
+description: The audit battery for surfaces that rot without failing — unreachable probes, vacuous assertions, invalid checkers, gates that never run, and prose invalidated by a change. Four passes found real defects every time.
+tags: [testing, observability, audit, signals, gates]
+timestamp: 2026-10-05T00:00:00-07:00
+---
+
+# Stale Signal Audit
+
+Run after any change and before trusting a green gate. The productive question
+is **which signal here cannot possibly be correct?** Every pass on this repo
+(4 of 4) found real defects — including one in the rule file every future
+agent reads first.
+
+## The surfaces, and what each vantage point can reach
+
+| Surface | Producer's vantage point | Can reach |
+|---|---|---|
+| Homepage status cards | the `homepage-status` timer on **Dankclaw** | Dankclaw's loopback, Dankclaw container names, **published** LAN addresses |
+| Prometheus scrape jobs | the `prometheus` container on Dankclaw | container names on `dankclaw_default`, LAN addresses, that host's loopback only |
+| bats / e2e suites | the dev box | the repo, plus the live fleet over HTTPS/LAN |
+
+Anything else — another host's loopback, a container-internal port never
+published — is unreachable no matter how healthy the service is. The failure
+mode is always the same shape: a signal that **cannot** succeed by
+construction, which teaches the operator to ignore the surface it lives on.
+
+## 1. Permanently-red probes (reachability)
+
+For every monitor/probe/alert target ask: *can this checker physically reach
+that endpoint?* Seen classes: a card probing another host's container-internal
+port; a "probe" job scraping `/` (HTML → `unsupported Content-Type`); a
+`/metrics` that is disabled (Gitea 404).
+
+- A scrape cannot express "is this HTTP service answering?" — the right probe
+  is the **blackbox exporter** in probe mode (which also gives guarded vhosts
+  a real uptime signal, since Prometheus cannot solve an Anubis challenge).
+- **Fix in the direction of honesty, never of silence:** unreachable target →
+  mark the homepage card `wip: true` with the reason in `description` (the
+  checker skips `wip`; `wip` is the existing convention for "real service,
+  not probeable"), or repoint the job at something reachable. NEVER open a
+  database port on the LAN to make a badge green, and never delete a scrape
+  job — an absent scrape and a healthy one are indistinguishable.
+- Alert rules must not depend on always-red signals — scope them to services
+  that can actually be healthy (`LlmEndpointDown` is scoped to `frank-*` for
+  exactly that reason).
+- A target's failure STRING can prove a fix: a `/metrics` scrape flipping from
+  `connection refused` to `unsupported Content-Type "text/html"` means the
+  service came up and only the scrape is wrong. Read the error, not just
+  up/down.
+
+## 2. Vacuous assertions (highest severity — the gate is already dead)
+
+A seam that greps a file passes *by absence* once the file is retired:
+`grep` exits 2 on a missing path and `!` inverts it.
+
+```bash
+grep -rn 'grep.*"\$REPO_ROOT/[^"]*"' tests/*.bats | head -50
+[ -f "$path" ] || echo "MISSING: a seam may be grepping this"
+```
+
+Fix shape — one place asserts the invariant, each local site keeps a live
+check:
+
+```bats
+@test "no <host> compose file competes with the quadlet units" {
+    local cf="$REPO_ROOT/<host>/compose.yaml"
+    [ ! -f "$cf" ] || { echo "$cf is back: every container is unit-managed"; return 1; }
+}
+# at the per-service site: still fails if the entry returns
+[ ! -f "$cf" ] || ! grep -qE '^\s+<svc>:' "$cf"
+```
+
+**Prove teeth:** recreate the offending file
+(`printf 'services:\n  <svc>:\n    image: x\n' > <path>`), run the seams,
+confirm RED, then move the file to trash. A re-armed check you have never
+seen fail is still unverified.
+
+## 3. Gates that never run
+
+Playwright specs in `tests/e2e/` are matched by **number prefix** in
+`playwright.config.ts`; an unregistered spec silently never runs and the
+suite count stays the same. Count tests before/after;
+`tests/e2e_scaffold.bats` fails on an unregistered spec by design.
+
+## 4. Validate the checker before acting on it
+
+A checker's output is a hypothesis about another tool's semantics. Modelling
+Obsidian with naive text matching produced 45 "broken links" of which 3 were
+real — the rest were case-sensitivity (a `qBittorrent` link to
+`qbittorrent.md`), path-qualified resolution (a path-qualified
+`folder/Note` link resolves by path SUFFIX, not
+stem), and `%20` URL-encoding in markdown links. Fix the checker first,
+re-derive the report, only then edit documents. The result lives in
+`scripts/check-vault-links.py` with those three rules in its docstring,
+gated by the `no unresolved links in the docs vault` seam. Same class: a
+`find … | head -1` selector that reads the wrong file; a truncated listing
+that makes you "fix" a file that exists.
+
+## 5. Prose invalidated by your own change
+
+After retiring a file or adding a feature, grep for EVERY reference, not just
+code:
+
+```bash
+grep -rn "<retired-file>" --include="*" . | grep -v '^./.git/'
+grep -rn "no <feature>\|none —\|unconfigured" --include="*.md" --include="*.container" --include="*.yml" .
+```
+
+This catches the ones that bite: AGENTS.md said ComfyUI runs CPU-only long
+after it was restored with GPU access; a unit said "there are no alerting
+rules" hours after five were added; a docs page documented three scrape jobs
+as working when they could never report up. **Clean cutover includes prose** —
+docs, unit docstrings, and the repo's rule file (the most expensive place to
+be stale).
+
+## Order and verification
+
+1. Enumerate the surfaces (status board, metrics targets, alert rules, test
+   gates, docs/rule files, dashboard panels).
+2. For each, ask what the signal CAN express, not what it says.
+3. Validate any checker before editing the things it flags.
+4. Fix at the root; never weaken an assertion to make it pass.
+5. Gate the class so it cannot return (a seam), then prove the seam fails on
+   the defect.
+
+Verify: `./scripts/check-vault-links.py` (exit 1 on breaks); query each
+Prometheus panel expression against the API (0 series on a panel that should
+show data is a defect; 0 `ALERTS` when nothing fires is not); read the
+deployed `/srv/homepage/status.json` and triage every `state != up` entry
+against reality; query `/api/v1/targets?state=active` and print
+`health != "up"` with `lastError`; `./tests/run.sh` → `ALL TESTS PASSED`.
+Report per finding: the surface, why the signal could not have been correct,
+the fix, and the red/green evidence — flag any regression you introduced
+yourself in the same breath (one was found this way: a tightened bind killed
+a reverse-proxied vhost while every gate stayed green, because the spec
+covering that hostname did not exist).
+
+## Related
+
+- [[Testing Policy]] — the seam inventory this audit walks
+- [[Observability]] — the scrape/probe surfaces it audits
+- [[Quadlet Lifecycle]] — the ownership labels the probes read
@@ -0,0 +1,121 @@
+---
+type: howto
+description: "Qwen-Image 2.1 workflows on Dankclaw: two proven txt2img workflows (art + legible text), the API recipe, and which models/LoRAs to add next."
+tags:
+  - dankclaw
+  - comfyui
+  - qwen-image
+timestamp: 2026-10-05
+---
+
+# ComfyUI Qwen-Image Workflows
+
+Two ready-to-load text-to-image workflows for the Qwen-Image 2.1 payload
+already on Dankclaw, both proven end-to-end on 2026-10-05 by POSTing to the
+live API on port 8188 and verifying the rendered PNG. The repo copies are the
+source of truth; the host copies under `/home/dank/comfyui-data/workflows/`
+are for convenience.
+
+## What is on disk
+
+| Path (under `/home/dank/comfyui-data/models/`) | Size | Role |
+|---|---|---|
+| `diffusion_models/qwen_image_2.1_int8_convrot.safetensors` | 6.8 GB | **The one the workflows use** — int8-convrot quant, ComfyUI-core native |
+| `diffusion_models/qwen_image_2.1_bf16.safetensors` | 14 GB | Full-precision fallback |
+| `diffusion_models/qwen-image-2.1-Q8_0.gguf` (+ `-arch`) | 7.1 GB | GGUF alternative (needs ComfyUI-GGUF custom node) |
+| `text_encoders/qwen3vl_8b_w4a8.safetensors` | 5.9 GB | **The one the workflows use** — 4-bit-weights/8-bit-act Qwen3-VL 8B encoder |
+| `text_encoders/qwen3vl_8b_int8_convrot.safetensors` | 8.8 GB | Mid quant |
+| `text_encoders/qwen3vl_8b_bf16.safetensors` | 17 GB | Full precision |
+| `vae/qwen_image_2.1_vae_bf16.safetensors` | 645 MB | 2.1 VAE (used) |
+| `vae/qwen_image_vae.safetensors` | 243 MB | Smaller VAE |
+
+No LoRAs are on disk yet — see [Recommended additions](#recommended-additions).
+
+## The workflows
+
+Both are API-format JSON (ComfyUI 0.37 loads them via the UI's **Load** dialog
+too): `dankclaw/comfyui/workflows/` in the repo,
+`/home/dank/comfyui-data/workflows/` on the host. Node chain in both:
+
+```
+UNETLoader (int8_convrot) ──┐
+CLIPLoader (qwen_image, w4a8) ─┤ CLIPTextEncode pos/neg
+VAELoader (2.1 bf16) ────────┤
+EmptySD3LatentImage ─────────┴─ KSampler ─ VAEDecode ─ SaveImage
+```
+
+**Common sampler settings:** `cfg 1.0` (Qwen-Image 2.1 expects CFG-free
+sampling), `euler` + `simple`, seed fixed in the file.
+
+| Workflow | File | Shape | Steps | Made for |
+|---|---|---|---|---|
+| Art | `qwen-image-2.1-t2i-art.json` | 1024×1024 | 20 | General illustration/prose prompts |
+| Legible text | `qwen-image-2.1-t2i-legible-text.json` | 832×1216 | 25 | Posters, captions, any in-image text |
+
+### Legible-text prompt recipe
+
+Qwen-Image 2.1 is one of the best open-weight text renderers, but only if the
+prompt is written for it:
+
+1. **Quote the exact strings**: `large bold white text reading "SOLIDARITY OF
+   THE SOVIET COMPUTER SYSTEMS"` — quoted text is rendered literally.
+2. **Describe layout, not vibes**: say *centered / below it / large vs small*,
+   the typeface family (sans-serif), and the color.
+3. **Say what NOT to draw**: end with `no other words, no watermark`.
+4. Keep the negative side on `misspelled, warped letters, extra text` (already
+   in the workflow).
+5. More steps help text: the text workflow uses 25 vs 20.
+
+Verified render: `SOLIDARITY OF THE SOVIET COMPUTER SYSTEMS` + `DANKCLAW
+DANKSERVER EST 2026` came back crisp and correctly spelled at 832×1216
+(`qwen21-text_00001_.png`, 953 KB). One caveat from the same render: a
+shorter secondary line is where misspellings creep in — proofread the first
+render before shipping.
+
+## Driving it from the API
+
+ComfyUI 0.37 **requires the graph wrapped in a `prompt` key** — a bare
+`{node-id: node}` body gets `{"error": {"type": "no_prompt"}}` (verified
+2026-10-05):
+
+```bash
+curl -s -X POST http://127.0.0.1:8188/prompt -H 'Content-Type: application/json' \
+  -d "$(python3 -c 'import json;print(json.dumps({"prompt": json.load(open("dankclaw/comfyui/workflows/qwen-image-2.1-t2i-art.json"))}))')"
+# -> {"prompt_id": "...", ...}
+curl -s http://127.0.0.1:8188/history/<prompt_id>   # status.status_str == "success"
+```
+
+Outputs land in `/home/dank/comfyui-data/output/`. The queue is FIFO — the
+two workflows above ran back-to-back unattended.
+
+**Note:** the container's UI-saved workflows live in the ephemeral
+`/opt/ComfyUI/user` layer and do NOT survive an image rebuild — hence the
+host-side `workflows/` dir and the repo copy.
+
+## Recommended additions
+
+Quantized preferred, sized for the 8060S iGPU (GTT-backed; the RTX 3090 is
+frank-secondary's). All repos verified 2026-10-05. None are on disk yet.
+
+| # | What | Repo | Grab | Size | Why |
+|---|---|---|---|---|---|
+| 1 | **Lightning 8-step LoRA** (T2I speed) | `lightx2v/Qwen-Image-Lightning` | `qwen_image_lightning_8steps_*.safetensors` (LoRA) | ~1–2 GB | 20 steps → 8 with a `LoraLoader` node; 2–3× faster renders on the iGPU, negligible quality loss |
+| 2 | **Qwen-Image-Edit-2511 GGUF** (image editing) | `unsloth/Qwen-Image-Edit-2511-GGUF` | Q4_K_M (~13.2 GB) or Q4_0 (~11.9 GB) | ~12–13 GB | Unlocks img2img "edit this photo" workflows — a capability class the fleet has zero of; Q4 keeps it iGPU-friendly |
+| 3 | **DiffSynth ControlNets** (structure control) | `Comfy-Org/Qwen-Image-DiffSynth-ControlNets` | `split_files/model_patches/` canny + depth | ~2–3 GB each | Pose/edge/depth-guided layouts — pairs with the legible-text workflow for exact poster composition. The `QwenImageDiffsynthControlnet` node is already in the running ComfyUI |
+| 4 | **Wan 2.2 TI2V-5B GGUF** (first video model) | `QuantStack/Wan2.2-TI2V-5B-GGUF` | Q4/Q5 GGUF (~6–8 GB) | ~6–8 GB | T2V+I2V in one dense 5B model; the gentlest on-ramp into video generation, runs in ComfyUI core (`wan` CLIP type is already in this build's loader enum) |
+
+Placement: #1 → `models/lora/` (create it), #2 → `models/diffusion_models/`,
+#3 → `models/controlnet/` (create it), #4 → `models/diffusion_models/`.
+Fetch with `scripts/download-frank-*.sh` discipline (`-f` + byte-count +
+sha256 checks) or a plain `hf download` with the token in the environment —
+never on the command line.
+
+Skip list: the original `city96/Qwen-Image-gguf` conversions (superseded by
+the 2.1 files already on disk), and any BF16 of #2/#4 (the iGPU does not need
+them at GTT capacity, and they double the disk bill).
+
+## See Also
+
+- [[ComfyUI]] — the service itself (image, unit, GPU access)
+- [[ComfyUI ROCm and Vulkan]] — the live-verified GPU path
+- [[Dankclaw Stack]] — the host
@@ -110,5 +110,6 @@ The web UI responds on `/`. ComfyUI also exposes `/system_stats`. On this APU, `

 - [[Dankclaw Stack]]
 - [[ComfyUI ROCm and Vulkan]] — the live-verified GPU path research
+- [[ComfyUI Qwen-Image Workflows]] — the Qwen-Image 2.1 payload, proven workflows, and recommended model/LoRA additions
 - [[Lemonade and sd.cpp]] — the ggml-family alternative
 - Knowledge base: [[ComfyUI]] (tools)
@@ -81,6 +81,178 @@ The wiring lives in the live `/data/config.yaml` under `mcp_servers.chrome-devto
 The npx package cache lives in the container layer, so a recreation (not just a
 restart) pays one first-call npm download; subsequent calls are cached.

+## Config-home drift ("cannot connect" to models that answer curl)
+
+`podman exec <container> printenv HERMES_HOME` for each hermes container. If
+the webui reads the image default (`/opt/data`) while the gateway reads
+`/data`, the webui runs the image-default template config (`provider: auto` →
+openrouter.ai with no key = connect failure).
+
+The recreation trap is the same one the volumes table shows: image `VOLUME`
+points get a fresh anonymous volume on every container recreation
+(`podman run --replace --rm`) — edits inside such a mount are lost on
+restart/redeploy. Compare volume ids before/after a restart to confirm.
+
+Fix: pin `Environment=HERMES_HOME=/data` in the quadlet unit (shared state
+root), deploy service-scoped. Verify with the app's own code, not guesses:
+
+```python
+from api import config as C; C.resolve_model_provider("<model-id>")
+# -> (model_id, provider, base_url); bare ids map to the owning provider by
+#    scanning the providers: dict models allow-list; @provider:model forces one.
+hermes_cli.providers.resolve_user_provider(name, cfg["providers"])
+# -> ProviderDef with real base_url; accepts api/url/base_url keys.
+```
+
+Named providers (`providers:` dict) are a catalog + connection source;
+`custom:<slug>` connections resolve only via `custom_providers[]` entries. If
+neither holds the provider name, the request has no endpoint and fails to
+connect. Probe the endpoint with the **exact served model id** — the retired
+FLM/NPU endpoints routed only by exact registry tag and answered HTTP 200
+with `{"error":"Failed to load <tag> model!"}` for unknown tags; status-code
+checks miss this class entirely.
+
+## Live config edits
+
+Live file: `/home/dank/Containers/hermes/data/config.yaml` (dir `drwx------`
+uid 109999; all reads/edits need `sudo`). The repo file
+`dankclaw/hermes/config.yaml.example` is a sanitized backup and **can lag
+live — always diff the live file first; never treat the example as truth**.
+
+1. **Backup first:** `sudo cp -a …/config.yaml …/config.yaml.bak-YYYYMMDD`
+   (in-dir `.AGENTTRASH/` also exists for removals).
+2. **Apply** with surgical `sudo sed -i` or full-file write; YAML comments in
+   the live file are tool-generated — preserve them.
+3. **Sweep stale references** across the whole data dir:
+   `sudo grep -rln "<old-id>" /home/dank/Containers/hermes/data
+   --include="*.yaml" --include="*.json"`. Session files/MEMORY.md are
+   historical — leave them.
+4. **Derived caches:** `webui/models_cache.json` is keyed by a config
+   fingerprint (`_source_fingerprint.config_yaml` mtime/size); after edits it
+   is stale. Let it regenerate lazily or trash it — never hand-edit.
+5. **Restart the model-consuming units** (they parse config at startup):
+   `systemctl --user restart hermes-webui.service hermes.service`.
+   `hermes-dashboard.service` is unaffected by routing changes.
+6. **Verify behaviorally**: one tiny completion per endpoint with the exact
+   served id — POST `/v1/chat/completions` and read the body, never just the
+   status code (endpoint names rotate; see the LLM knowledge base).
+7. **Sync the repo backup** (`dankclaw/hermes/config.yaml.example`) to the
+   live shape, redacting secrets (`password_hash`, phone account stay
+   live-only), then `./tests/run.sh` before commit.
+
+`provider: custom` + `base_url` entries route by base_url and send the model
+id verbatim; named providers resolve via their `api:` URL. **Renaming a
+served alias anywhere (serve scripts, env ALIAS) MUST propagate to this
+config in the same change** or Hermes requests 404 on nonexistent models —
+this exact gap caused the 2026-09-05 outage.
+
+## Auxiliary routing against local backends
+
+When a Hermes feature that calls an auxiliary task (e.g. title generation)
+fails against a local endpoint, the usual cause is a **request shape the
+local runtime does not implement**, not a routing mistake.
+
+Diagnose with the real call path — run the actual function inside the
+container with the app's own constants (the probe cannot drift from
+production):
+
+```bash
+base64 -w0 /tmp/probe.py | ssh dank@192.168.0.143 \
+  'base64 -d > /tmp/probe.py && systemctl --user restart hermes.service && sleep 20 && \
+   podman cp /tmp/probe.py systemd-hermes:/tmp/probe.py && \
+   podman exec -i systemd-hermes /opt/hermes/.venv/bin/python /tmp/probe.py'
+```
+
+Copy the file AFTER any restart (`--replace --rm` discards the container
+layer). The CLI at `/opt/hermes/hermes` uses system python and dies
+`No module named 'yaml'`; use `/opt/hermes/.venv/bin/python`.
+
+```python
+import sys; sys.path.insert(0, "/opt/hermes")
+from agent.title_generator import _TITLE_PROMPT_TEMPLATE, _TITLE_RESPONSE_FORMAT, _clean_title, _extract_title_text
+from agent.auxiliary_client import call_llm
+resp = call_llm(task="title_generation", messages=[...], max_tokens=64,
+                temperature=0.3, extra_body={"response_format": _TITLE_RESPONSE_FORMAT})
+```
+
+What actually breaks, and the fix:
+
+- **`response_format` (json_object / json_schema) is a hard 400 on every
+  local backend here** — neither FreeToken nor halogen implements constrained
+  decoding. Config cannot override it: `call_llm` merges the task's
+  `extra_body` first and then `update()`s the caller's, so the hardcoded one
+  wins. Only temperature and max_tokens have reactive retry paths.
+- **Fix: move that one task to the Responses transport**, which never
+  forwards `response_format`:
+
+  ```yaml
+  auxiliary:
+    title_generation:
+      provider: dankserver-small        # names track the live config; diff first
+      model: frank-secondary
+      api_mode: codex_responses        # real per-task key
+      extra_body:
+        reasoning:
+          effort: none                 # mandatory, see below
+  ```
+
+- **Disable thinking for any cap-limited task.** The adapter omits reasoning
+  only when config says `reasoning.enabled: false`. The
+  `reasoning_effort: none` *shorthand* produces exactly that and leaves the
+  server default (thinking ON) — the 64-token title budget gets spent on the
+  think: empty content, `finish_reason: length`. The explicit
+  `extra_body.reasoning.effort: none` instead sends
+  `{"effort":"none","summary":"auto"}`, which the local `/v1/responses`
+  honors.
+- Both local runtimes also answer `/v1/responses` and `/v1/messages` — no
+  proxy needed for the alternate transport.
+
+Verify and land: re-run the probe with **no** `api_mode`/reasoning kwargs —
+it must pass from config alone (that is the production path); keep the live
+file and the repo example in step; `./tests/run.sh`, commit, push — a Hermes
+config change is docs+example only, no service deploy needed.
+
+Gotchas: `auxiliary.<task>.enabled: false` is checked BEFORE
+`apply_instant_title`, so disabling a broken title task also removes the
+derived title — it does not degrade gracefully the way a failure does. A
+local call can also fail at the model level: a 200 with an error-text body,
+or a chatty non-title answer. Always read the raw content, not the status.
+
+## Webui password rotation ("Hermex")
+
+Auth contract (verified live 2026-08-31): `POST /api/auth/login` with JSON
+`{"password":"…"}` → 200 + signed HttpOnly `hermes_session` cookie (24 h TTL)
+on match, 401 on miss. No username field. `/health` answers 200
+unauthenticated and `/` answers 302 — **never verify auth via those**; probe
+login with a deliberately wrong password (expect 401) and the real one
+(expect 200). Details on the webui surface: [[Hermes-WebUI]].
+
+1. Run the whole probe as a heredoc'd bash script
+   (`ssh -o BatchMode=yes dankclaw 'bash -s'`) — the host's zsh mangles
+   inline `${…}` even inside single-quoted ssh args; never interpolate curl
+   `-w %{http_code}` inline.
+2. Update BOTH env files with
+   `sed -i "s/^HERMES_WEBUI_PASSWORD=.*/HERMES_WEBUI_PASSWORD=<new>/"`:
+   - `/home/dank/serverAppConfigs/.env` ([Service] EnvironmentFile)
+   - `/home/dank/serverAppConfigs/dankclaw/.env` — **the effective one**: the
+     quadlet's `[Container] EnvironmentFile=` is what the container reads at
+     create; rotating only the root file leaves the running container serving
+     the old secret.
+3. `systemctl --user restart hermes-webui.service` (unit recreation re-reads
+   env; no deploy needed if the unit file itself didn't change).
+4. Verify wrong-pw → 401, right-pw → 200, from host loopback **and** a LAN
+   client at `http://192.168.0.143:8787` (webui publishes on the LAN
+   interface since commit `4443897`; off-network ingress is SSH tunnel only —
+   user `tunnel`, port **22**, key-only auth, forward remote end
+   localhost:8787).
+
+Gotchas: `sudo podman exec` fails exit 125 here — root's namespace does not
+see rootless containers; run `podman exec hermes-webui printenv
+HERMES_WEBUI_PASSWORD` unprivileged (the ssh user owns the env files, mode
+600). If rotating because a secret leaked into transcripts/logs, rotate in
+place via a script that fetches the live value from the running container
+(`printenv`) instead of transcribing it.
+
 ## See Also

 - [[Hermes-Dashboard]] — the LAN browser management UI
@@ -24,29 +24,48 @@ https://github.com/open-webui/open-webui
 | Upstream latest | 0.11.4 (2026-09-21) — security/access-control advisory; `:main` is the rolling image, not a stable pin. Imagegen endpoint is `POST /api/v1/images/generations` (the `comfyui` engine is still upstream). |
 | Port | 3005 (host) → 8080 (container). Port 3000 is Gitea's HTTP, so it is not usable. |
 | Data volume | `/home/dank/Containers/open-webui/data` → `/app/backend/data` |
-| Backends | Three fleet endpoints: `frank-large` (host.containers.internal:7770), `frank-medium` (192.168.0.235:7770), `frank-small` (host.containers.internal:7771) — see [The LLM backends](#the-llm-backends) |
+| Backends | Picker exposes two models — `frank-zealot` (host.containers.internal:7771) and `frank-dragoon` (host.containers.internal:7770, added 2026-10-09). The `frank-archon` (Dankserver) connection remains configured in the DB, disabled — see [The LLM backends](#the-llm-backends) |
 | Network | Pinned bridge `systemd-open-webui` (`10.89.3.0/24`, gateway `10.89.3.1`) — see [History](#history) |
 | Persistence | Quadlet unit `open-webui.service`; `[Install] WantedBy=default.target` |
 | Deploy | `scripts/deploy-open-webui-quadlet.sh dankclaw` |

 ## The LLM backends

-OpenWebUI serves the three fleet LLM endpoints. The model picker is built from
-the `model` table in `webui.db` (one row per model), NOT from live connection
-discovery — so the picker shows exactly the models seeded there.
+The picker is built from the `model` table in `webui.db` (one row per model)
+plus the `model_ids` of each **enabled** OpenAI connection, NOT from live
+connection discovery — so the picker shows exactly what is seeded there.
+As of 2026-10-09 the picker exposes **two models: `frank-zealot` and
+`frank-dragoon`**.

-| Picker model | Connection URL | Runtime | Host |
-|--------------|----------------|---------|------|
-| `frank-large` | `http://host.containers.internal:7770/v1` | unsloth llama.cpp (Strix Halo iGPU, 200k ctx) | Dankclaw |
-| `frank-medium` | `http://192.168.0.235:7770/v1` | vllm-radiance TP=2 (FP8, DFlash2, 262k ctx) | Dankserver |
-| `frank-small` | `http://host.containers.internal:7771/v1` | llama.cpp (RTX 3090, Gemma4-12B, 262k ctx) | Dankclaw |
+| Connection (`openai.api_configs` idx) | URL | Enabled | `model_ids` | Runtime | Host |
+|---|---|---|---|---|---|
+| 0 | `http://host.containers.internal:7770/v1` | yes (2026-10-09) | `frank-dragoon` | halogen flash-server (Strix Halo iGPU) | Dankclaw |
+| 1 | `http://192.168.0.235:7770/v1` | no (2026-10-07) | `frank-archon` | radiance TP=2 (2× R9700) | Dankserver |
+| 2 | `http://host.containers.internal:7771/v1` | yes | `frank-zealot` | llama.cpp CUDA (RTX 3090, 2×200,704) | Dankclaw |
+
+The `model` table carries one decoration row per picker model:
+`frank-zealot` (context length 200,704 = the per-slot window; description:
+Qwen3.5-9B Q6_K + BF16 vision mmproj) and `frank-dragoon` (context length
+262,144 = the per-slot `HALOGEN_CTX`; description: Swift1.5 v2 abliterated,
+MTP, vision ON).
+
+A third gate sits *after* the table, and it is the one that bites family
+accounts (2026-10-07): a model row is only visible to a non-admin user when
+its **access permission** grants them. A seeded row defaults to admin-only,
+so the picker renders "No results found" for every regular user even though
+the connection is enabled, `model_ids` is correct, and the endpoint answers
+`/v1/models` — and `GET /api/v1/models` returns `[]` for that user while an
+admin token returns the model. Fix: set the row's `access_control` to public
+(the `access` column on the `model` row) via the admin UI (Admin Panel →
+Models → visibility) or the DB. The verification battery below must therefore
+run **as a non-admin user**, not only as an admin.

 Two gotchas make the wiring non-obvious:

 - **llama.cpp `/v1/models` is Ollama-shaped.** llama.cpp returns
  `{"models":[{"name":...}]}`; OpenWebUI's `extract_data()` only reads the
  OpenAI `{"data":[{"id":...}]}` shape, so connection discovery silently misses
-  the llama.cpp endpoints (frank-large, frank-small). The fix is to set
+  the llama.cpp endpoints (frank-large, frank-secondary). The fix is to set
  `model_ids` in each connection's `api_config` — when non-empty, OpenWebUI
  builds the model list directly and never fetches `/v1/models`. frank-medium
  (vLLM) serves the OpenAI shape and would discover fine, but uses `model_ids`
@@ -62,7 +81,72 @@ The Ollama connection is disabled (`ollama.enable=false`).

 > All three endpoints are bare-metal systemd services managed by this
 > repository. Model swaps, context sizing, and spec tuning happen there. See
-> the [LLM knowledge base](../LLM/index.md).
+> the [LLM knowledge base](../LLM/index.md). Disabling a connection here only
+> hides it from this picker — the endpoint itself keeps serving every other
+> client (the harness, Hermes, API consumers).
+
+## Container introspection (DB and backend python)
+
+- Working dir for imports: `/app/backend`; package name `open_webui`
+  (underscore), NOT `openwebui`. `os.environ["WEBUI_SECRET_KEY"]` MUST be set
+  BEFORE importing any `open_webui` module (import-time hard requirement);
+  the secret lives at `/app/backend/.webui_secret_key`.
+- **The `sqlite3` CLI is NOT in the container** — use Python's `sqlite3`
+  module (`podman exec open-webui python3 -c "import sqlite3;
+  conn = sqlite3.connect('/app/backend/data/webui.db'); …"`). For config
+  keys use parameterized LIKE queries (avoids shell quoting).
+- Backend python: `podman exec -w /app/backend open-webui python3 -c "…"` —
+  `Models.get_all_models()` is a coroutine (await it); model objects are
+  pydantic `ModelModel` instances (attribute access, not `.get()`), with NO
+  `status`/`enabled` attribute — use `is_active` from the DB.
+- **API auth for verification:** `create_token` lives in
+  `open_webui.utils.auth` (NOT `open_webui.utils.utils`);
+  `get_verified_user` requires an `id` claim (not just `sub`);
+  `SESSION_SECRET = WEBUI_SECRET_KEY`. Mint an admin token inside the
+  container:
+
+  ```
+  podman exec -i open-webui sh -c 'export WEBUI_SECRET_KEY=$(cat /app/backend/.webui_secret_key); \
+    python -c "from open_webui.utils.auth import create_token; \
+    print(create_token({\"id\":\"<UID>\",\"sub\":\"<UID>\",\"email\":\"…\",\"role\":\"admin\"}))"'
+  ```
+
+  (admin UID from the `user` table).
+
+## Verification battery
+
+1. `GET /api/models` (the picker endpoint; response key `data`) → lists
+   EXACTLY the intended models, **as an admin AND as a `role='user'` token**.
+   Do NOT gate on `GET /api/v1/models/list` (the Admin Panel → Models page):
+   on the 0.6.x image it returns `items: []` for connection-backed models
+   (workspace-list only; measured 2026-10-09 on both picker ids).
+2. `POST /api/chat/completions` per model with a trivial prompt ("Reply
+   with exactly one word: pong") → each returns content `pong`. Reasoning
+   models need a generous budget: frank-secondary (Qwen3.5 template) returns
+   empty content + `finish_reason: "length"` at `max_tokens 200` (the
+   thinking block eats it) and answers `pong` at 1500.
+3. A 500 "Server Connection Error" → `podman logs open-webui` for
+   `ClientConnectorError`: a network-reachability problem (host LAN IP vs
+   `host.containers.internal`), not a model problem.
+
+**Durability:** the model table + connections are DB-only (not git-managed);
+a fresh data volume loses them — including the public access grant above.
+For reproducibility, add an idempotent first-start seed script or document
+the setup in the service doc.
+
+## API access (auth-gated)
+
+Every `/api/*` endpoint requires an authenticated session (SSO login JWT)
+or a per-user API key (`auth.enable_api_keys=true`; keys are minted per
+account under Profile → API Keys). Anonymous web visitors get the `pending`
+role (`ui.default_user_role=pending`), which cannot chat. Verified
+2026-10-07 from loopback `:3005` and over the public vhost:
+`GET /api/v1/models/list`, `GET /api/v1/models` and
+`POST /api/chat/completions` all return **401** with no key (also with a
+bogus bearer token); only `/api/config`, `/api/version` and `/health`
+answer publicly, and none of them expose the model list. An external
+program needs an account + API key — there is no keyless access.
+

 ## Web search

@@ -106,6 +190,18 @@ browser-driven and only touches the two exempt vhosts (`ai.` and `auth.`).
  into the existing local account with the same email — the pre-SSO admin
  (frank8465@protonmail.com) keeps its data. `ENABLE_OAUTH_SIGNUP=true` lets
  other `openwebui_users` create accounts on first login.
+- **First login mints role `pending`.** `ui.default_user_role=pending` (config
+  DB, verified 2026-10-09), so a freshly-provisioned `openwebui_users` account
+  completes SSO and then cannot chat (picker empty) until its role is flipped:
+  `UPDATE "user" SET role='user' WHERE email='<user>@franksdank.cloud';` —
+  run with host `python3` over ssh against
+  `/home/dank/Containers/open-webui/data/webui.db` (no `sqlite3` CLI on
+  Dankclaw; table is `user`, singular; no `active` column). No per-user model
+  grant is needed: both picker models (`frank-zealot`, `frank-dragoon`) carry
+  the global `access_grant` row `(model, <id>, user, *, read)`, so any
+  `role='user'` account sees them. Flip on FIRST-LOGIN SIGHTING — the row does
+  not exist until the account signs in (2026-10-09: five provisioned accounts
+  had no row).
 - **IdP reachability:** the container is on its own bridge (10.89.3.0/24) and
  cannot reach `authentik-server:9000` by name. It reaches the IdP over the
  public URL `https://auth.franksdank.cloud` — Caddy publishes `0.0.0.0:443`
@@ -147,6 +243,23 @@ The quadlet carries a built-in healthcheck (30s interval, 3 retries, 300s start

 `podman ps` shows the container as `unhealthy` if either fails. Probe manually at `http://dankclaw:3005/health`.

+## Image generation (ComfyUI)
+
+Image generation rides the local [[ComfyUI]] integration, not the chat
+picker — ComfyUI's models never appear in the chat model picker (that is
+chat LLMs only), so ComfyUI needs its own image-generation connection
+configured in OpenWebUI. ComfyUI itself runs GPU-enabled on Dankclaw and
+serves `:8188`.
+
+Endpoint: `POST /api/images/generations` (image `0.11.x`: upstream moved the
+route to `POST /api/v1/images/generations`; the `comfyui` engine is still
+upstream) with `Authorization: Bearer <token>` and body
+`{"model":"imagegen","prompt":"…","n":1,"size":"1024x1024"}`; the response
+carries base64 image data or a URL.
+
+Failure modes: connection refused ⇒ OpenWebUI or ComfyUI is down; timeouts
+on large sizes ⇒ check ComfyUI resources; 401 ⇒ the token is bad.
+
 ## Retired instances

 - The compose `open-webui` service (port 3000) was never run: 3000 is Gitea's HTTP port, so it could not bind.
@@ -158,18 +271,64 @@ The quadlet carries a built-in healthcheck (30s interval, 3 retries, 300s start
 - The image tracks upstream `main`; pin a digest in the quadlet unit if reproducible rollback matters more than tracking. (The old "CPU-only host" framing is stale: this APU runs the gfx1151 ROCm build — see [[ComfyUI]].)
 - The default admin account is created on first login; secure it immediately.
 - If the backend is loading (3–8 minute model load), OpenWebUI shows connection errors until the model is ready.
- The on-host LLM services (frank-large `:7770`, frank-small `:7771`) are reached via `host.containers.internal`, NOT the host LAN IP: the container's netavark bridge cannot hairpin to its own host's non-published ports via `192.168.0.143` (connection refused), and the bridge gateway (`10.89.3.1`) lives in the rootless netns while llama-server runs in the host netns, so it refuses too. `host.containers.internal` (169.254.1.2) resolves to the host on the bridge and works — verified end-to-end for both endpoints. The Dankserver backend (frank-medium) is a different host, reached via its LAN IP `192.168.0.235:7770`.
+- The on-host LLM services (Dankclaw `:7770`, `:7771`) are reached via `host.containers.internal`, NOT the host LAN IP: the container's netavark bridge cannot hairpin to its own host's non-published ports via `192.168.0.143` (connection refused), and the bridge gateway (`10.89.3.1`) lives in the rootless netns while llama-server runs in the host netns, so it refuses too. `host.containers.internal` (169.254.1.2) resolves to the host on the bridge and works — verified end-to-end for both endpoints. The Dankserver backend is a different host, reached via its LAN IP `192.168.0.235:7770`.

 ## History

 - **2026-08-22 — slirp4netns → pinned bridge.** The unit ran on `Network=slirp4netns`. The slirp4netns helper process died (no OOM, no kill entry, no crash log found), and the container kept running with only `lo` in its netns: published port 3005 accepted TCP and reset every request, so chat served empty responses for ~2 days. Nothing logged an error. Moving to a kernel bridge removes the per-container helper entirely, and the healthcheck's interface check makes the zombie state visible if it ever returns.

- **2026-09-21 — model picker rebuilt for the 3-model fleet.** The picker carried 39 stale rows (37 dead Ollama models + 2 `frank-default-*`) and was missing `frank-medium`. Rebuilt the `model` table to exactly `frank-large`/`frank-medium`/`frank-small` and set `model_ids` on each connection (llama.cpp's Ollama-shaped `/v1/models` is invisible to OpenWebUI's discovery). Pointed the two on-host endpoints at `host.containers.internal` — the bridge refuses the host LAN IP for non-published ports. All three verified end-to-end via `/openai/chat/completions`.
+- **2026-09-21 — model picker rebuilt for the 3-model fleet.** The picker carried 39 stale rows (37 dead Ollama models + 2 `frank-default-*`) and was missing `frank-medium`. Rebuilt the `model` table to exactly `frank-large`/`frank-medium`/`frank-secondary` and set `model_ids` on each connection (llama.cpp's Ollama-shaped `/v1/models` is invisible to OpenWebUI's discovery). Pointed the two on-host endpoints at `host.containers.internal` — the bridge refuses the host LAN IP for non-published ports. All three verified end-to-end via `/openai/chat/completions`.

 - **2026-09-24 — SSO via authentik.** OIDC authorization-code flow wired per the [SSO (authentik)](#sso-authentik) section: application/provider/entitlements created in authentik, client secret in the host env file, roles from the `roles` scope claim. E2E coverage in `tests/e2e/specs/18-openwebui-sso.spec.ts`.

 - **2026-09-24 — flipped to SSO-only.** The OIDC round-trip verified in a real browser (login view renders no password form, only "Continue with authentik", and the flow lands on a signed-in session), so the local username/password path was retired: `ENABLE_LOGIN_FORM=false` + `ENABLE_PASSWORD_AUTH=false` in the quadlet and `ui.enable_login_form` set to `false` in the config DB (the DB wins over env, so both were changed together). `qa-e2e-admin` was demoted out of the `authentik Admins` group (it keeps `openwebui_users` / `homepage-admins` for app access).

+- **2026-10-07 — picker narrowed to `frank-secondary` only.** Per Frank: the only model accessible in OpenWebUI is `frank-secondary`. Rebuilt the `model` table to a single `frank-secondary` row (the old rows `frank-large`/`frank-primary`/`frank-small` are deleted), set `openai.api_configs` indices 0 (frank-large) and 1 (frank-primary) to `enable: false`, and retargeted index 2's `model_ids` from the stale `frank-small` label to `frank-secondary` — llama.cpp serves by alias, so the old label addressed a model name the server does not know. Pre-change snapshot: `/home/dank/Containers/open-webui/data/webui.db.bak-20261007` (+ `-wal`/`-shm`). Verified: `/api/v1/models/list` returns exactly `["frank-secondary"]`, chat completion answers `pong` (needs `max_tokens≥1500` — the Qwen3.5 thinking block consumes a 200-token budget), and anonymous API probes are all 401 (see [API access](#api-access-auth-gated)).
+
+- **2026-10-09 — re-keyed to the Protoss ids (wire rename).** The endpoints
+  began serving `frank-zealot` / `frank-dragoon` / `frank-archon`, so three
+  id-keyed objects had to move in the same window as the alias flip:
+  `model.id`+`name` (`frank-secondary` → `frank-zealot`, `params`
+  `{"context":{"length":200704}}` and the `meta.description` kept),
+  `access_grant` (`resource_type='model'`, `resource_id`, principal
+  `user`/`*`, permission `read`), and `openai.api_configs` per-backend
+  `model_ids` (index 2 = `:7771` is the enabled family backend; indices 0/1
+  = `:7770` and Dankserver `:7770` stay `enable: false`). Snapshot first:
+  `/home/dank/Containers/open-webui/data/webui.db.bak-20261009`. Apply from
+  inside the container (`podman exec -i open-webui python3 -`, sqlite3; the
+  image has no sqlite3 binary) then `systemctl --user restart open-webui.service`
+  (it is a rootless quadlet) to drop the cached model list. Verify in a real
+  browser as the family QA account: the welcome screen selects
+  `frank-zealot` and answers. **A stale id fails silently** — the picker
+  simply lists nothing, because OpenWebUI intersects the backend's
+  `/v1/models` with `model_ids`.
+
+  Law: **the model id is a foreign key in three tables.** Any future alias
+  change on an endpoint OpenWebUI fronts must ship with this re-key, in the
+  same deploy.
+
+- **2026-10-09 — composer is `contenteditable`, not `<textarea>`.** A
+  Playwright probe that waits for `textarea` after SSO times out on the
+  welcome screen: OpenWebUI 0.6 renders the composer as a contenteditable
+  div. The stable anchor is the model button (`getByRole("button", {
+  name: /selected model/i })`) and the welcome text "How can I help you
+  today?"; that snapshot is also the cheapest proof the picker is populated.
+
+- **2026-10-09 — `frank-dragoon` added to the picker.** Per Frank: expose the
+  halogen endpoint (service `frank-large`, `host.containers.internal:7770`)
+  beside `frank-zealot`. Three id-keyed writes (the trio the 10-07 rebuild
+  proved): `openai.api_configs` idx 0 `enable: true` (its `model_ids` already
+  carried `frank-dragoon` from the wire rename), a `model` row (`id`/`name`
+  `frank-dragoon`, `params.context.length` 262144 = the per-slot
+  `HALOGEN_CTX`, description of the v2 abliterated payload), and the global
+  `access_grant` `(model, frank-dragoon, user, *, read)`. Snapshot
+  `webui.db.bak-20261009b`, apply with host `python3` over ssh, then
+  `systemctl --user restart open-webui.service`. Verified: `/api/models`
+  lists `frank-dragoon` as admin AND as the QA `role='user'` account, and
+  `POST /api/chat/completions` through the app answers `pong` at
+  `max_tokens 1500`. Halogen's `/v1/models` is OpenAI-shaped, so discovery
+  would have worked too — `model_ids` stays authoritative.
+
 ## See Also

 - [[Dankclaw Stack]]
@@ -117,6 +117,18 @@ frank-large `health=200` throughout.
  the model is loaded. Trust the engine's `host memory left for everything
  else` line, not `free`.

+- **Filesystem prerequisite (other hosts).** ext4 and xfs take swapfiles
+  directly. btrfs needs `chattr +C` (NOCOW), no compression, and no
+  snapshots in the swapfile path — check `df -T` before planning, or
+  `mkswap` will reject the file.
+- **Renaming an *active* swapfile works (inode-based) but leaves a stale
+  path in `/proc/swaps`** — swap it off first, then rename, then `swapon`
+  (which is exactly what the step-3 consolidation does). Migration is
+  observable while it runs: in the 2026-09-12 run `swapoff` of 4 GiB took
+  65 s and used-RAM rose only ~3 GiB (pages touched during migration), the
+  rest relocating on disk. If used-RAM climbs toward the whole swapped
+  amount, let it finish rather than aborting.
+
 ## Trash

 The previous 8 GiB `/swap.img` (dated 2026-07-21) is staged, not deleted, at
@@ -0,0 +1,303 @@
+---
+type: reference
+title: Noctalia and Niri
+description: The noctalia v5 desktop shell on niri (workstation + blankpad) — config layers, remote IPC over ssh, custom-palette recolor, offline template rendering, and output rotation/pinning.
+tags: [desktop, noctalia, niri, blankpad, workstation, ghostty]
+timestamp: 2026-10-05T00:00:00-07:00
+---
+
+# Noctalia and Niri
+
+Noctalia (`/usr/bin/noctalia`) is the desktop shell on niri, running on both
+the workstation and blankpad. Since the 2026-09-10 unification both run the
+**bare `noctalia` v5 binary** (niri `spawn-at-startup "noctalia"`); the old
+Quickshell-hosted v4 architecture (`qs -c noctalia-shell`, JSON config) is
+retired on both hosts.
+
+## Config layers
+
+- Hand-edit declarative layer: `~/.config/noctalia/<name>.toml` (e.g.
+  `config.toml`). Main config: `~/.config/noctalia/config.toml`; the niri
+  config includes `noctalia.kdl` for display settings.
+- Runtime state file `~/.local/state/noctalia/settings.toml` loads LAST and
+  **overrides declarative values for the same keys — never hand-edit it**;
+  UI/IPC writes land there.
+- Main reference: `noctalia-reference` facts — IPC `noctalia msg <command>`
+  replaced the `qs -c noctalia-shell ipc call` wrapper; app templates live at
+  `/usr/share/noctalia/assets/templates/` (gtk, ghostty, alacritty, hyprland,
+  sway, wezterm, helix, btop, starship, qt, kde, cava, scroll, mango,
+  umbriel, foot, emacs, kitty); palette generation `noctalia theme [image]`.
+
+## Remote IPC over ssh (the D-Bus trap)
+
+`noctalia msg <command>` resolves the running instance via the D-Bus session
+bus. sshd-spawned non-login shells lack `DBUS_SESSION_BUS_ADDRESS`, so plain
+ssh exec prints `error: noctalia is not running` even when the shell IS
+running — do not conclude "shell dead" from this error. Working remote
+procedure (runs in the systemd user-manager context where the bus address
+exists):
+
+```
+systemd-run --user --pipe --wait noctalia msg <command> [args]
+```
+
+Verified: `msg status` returns live JSON state; unknown panel ids return an
+error listing all valid panel ids (clipboard, control-center, launcher,
+polkit, session, setup-wizard, test, tray-drawer, wallpaper).
+
+Verified v5 msg verb grammar (keybinds-safe): `panel-toggle <id>`,
+`session lock|suspend|lock-and-suspend|logout|reboot|shutdown`,
+`volume-up [step]`, `volume-down`, `volume-mute`, `mic-mute`,
+`media next|previous|playPause` (graceful no-op, rc 0, with no active
+player), `brightness-up [target] [step]`, `brightness-down`,
+`settings-open [context]`, `settings-toggle [context]`, `config-reload`,
+`wallpaper-get [connector]`, `wallpaper-set <path>`, `wallpaper-next`,
+`color-scheme-get|set`, `theme-mode-get`, `templates-apply`,
+`screenshot-fullscreen`.
+
+**Wallpaper directory semantics:** empty/unset `[wallpaper] directory`
+resolves to XDG Pictures via user-dirs.dirs; an explicit directory key
+overrides. Fleet default pattern: point `directory` at the repo-tracked
+wallpapers dir so git-tracked wallpapers serve the shell without copying
+files. After writing config.toml over ssh the file watcher hot-reloads
+automatically; `config-reload` via systemd-run forces it immediately. Note:
+the *current* wallpaper stays the built-in default until the next rotation
+or an explicit `wallpaper-next`; `wallpaper-get` then reporting a path
+inside the configured directory is the confirmation the config took effect.
+
+**Lock chain (unified):** swayidle-lock.service ExecStart on both hosts:
+`/usr/bin/swayidle -w timeout 300 '/usr/bin/noctalia msg session lock'
+before-sleep '…' after-resume '…'`. `msg` resolves via the session bus, so
+no WAYLAND_DISPLAY pinning is needed in unit context.
+
+## Custom-palette recolor (without restarting the session)
+
+Why custom, never the community cache:
+`~/.local/state/noctalia/community-palettes/*.json` is a **sync cache** —
+`.catalog/palettes.json` carries an `md5` per palette and noctalia re-fetches
+from `https://api.noctalia.dev/palettes`, so edits there get reverted.
+Custom palettes live at `~/.config/noctalia/palettes/<Name>.json`
+(`NOCTALIA_CONFIG_HOME` then `XDG_CONFIG_HOME` honored) and are never
+synced. Missing/invalid file → silent fallback to the builtin palette.
+
+Palette JSON shape = the community file's shape: `dark`/`light` maps of
+`mPrimary`, `mOnPrimary`, `mSecondary`, `mTertiary`, `mError`, `mSurface`,
+`mSurfaceVariant`, `mOutline`, `mShadow`, `mHover` plus a `terminal` block
+(`foreground`, `background`, `normal.{black..white}`, `bright.{…}`,
+`cursor`, `cursorText`, `selectionFg`, `selectionBg`). NOTE: `noctalia theme
+-o` emits M3 snake_case tokens (`on_primary_container`, …) — that is the
+*generator* format, not this one. Copy an existing community JSON and mutate
+with `jq`.
+
+Procedure:
+
+1. Read the live scheme first — never assume: `noctalia msg color-scheme-get`
+   (e.g. `community Gruber Darker`); `noctalia msg theme-mode-get`.
+2. Back up settings: `cp -a ~/.local/state/noctalia/settings.toml
+   /tmp/noctalia-settings-backup-$(date +%s).toml`.
+3. Build the palette from the current one (jq keeps structure):
+
+   ```sh
+   mkdir -p ~/.config/noctalia/palettes
+   jq '.dark.mPrimary = "#f43841"
+       | .dark.terminal.normal.yellow = "#f43841"
+       | .dark.terminal.bright.yellow = "#ff4f58"
+       | .dark.terminal.foreground   = "#f43841"' \
+      "$HOME/.local/state/noctalia/community-palettes/Gruber%20Darker.json" \
+      > ~/.config/noctalia/palettes/"Gruber Red.json"
+   ```
+
+   Prefer a hex already present in the palette (its own `mError` red) so the
+   theme stays internally consistent. Set BOTH `normal` and `bright`
+   variants, and both `dark` and `light` if the user toggles modes.
+4. Switch (persists `theme.source = custom` + `theme.custom_palette`):
+   `noctalia msg color-scheme-set custom "Gruber Red"` → `ok`; confirm with
+   `color-scheme-get`.
+5. Re-render every configured template: `noctalia msg templates-apply`.
+   Regenerates `~/.config/ghostty/themes/noctalia`,
+   `~/.config/gtk-{3,4}.0/noctalia.css`, kcolorscheme, foot, wezterm,
+   starship, etc. Symlinked-into-dotfiles paths show up as modified files
+   worth committing.
+6. Reload surfaces: compositor — `niri msg action load-config-file`
+   (`reload-config` is NOT a valid niri subcommand); ghostty — see the trap
+   below.
+
+Verification: `ghostty +show-config | grep -E '^(foreground|palette)'`
+(proves the theme file resolves — note it prints only the delta from
+defaults; cross-check with `ghostty +show-config --default` before
+concluding a key is unset); `noctalia config validate` → `✓ Config is
+valid`; visual via `noctalia msg screenshot-fullscreen` (saves to
+`~/Pictures/screenshot_<ts>.png` and ALSO overwrites the clipboard with the
+PNG — warn the user); `grep -c <old-hex> ~/.config/noctalia/palettes/*.json`
+→ 0 for no leftovers.
+
+Track it in the dotfiles repo (`~/.omp`, the command-center —
+`scripts/deploy.sh` is a stow-equivalent over `dotfiles/<pkg>/` trees):
+mirror the shape for the new palette so `git pull` + `deploy.sh` is the
+whole propagation story — move the JSON into
+`~/.omp/dotfiles/noctalia/.config/noctalia/palettes/` and symlink it back
+into `~/.config/noctalia/palettes/`; re-set the custom palette (re-reads
+through the symlink). Do the link by hand for one file instead of running
+`deploy.sh` — sync mode quarantines and replaces every divergent live file.
+
+Traps:
+
+- **NEVER `kill -USR1` ghostty to reload.** It does not reload config on
+  this fleet — it kills/respawns the terminal (took out Frank's window
+  2026-09-13). Correct: the default keybind `ctrl+shift+,` = `reload_config`
+  (per `ghostty +show-config --default`). Existing windows keep old colors
+  until reloaded; new windows inherit immediately.
+- Palette hex values are NOT a proxy for what the user sees: in
+  `Gruber Darker` the *accent* (`mPrimary`) is yellow `#ffdd33`, so "change
+  the yellow" means the accent too, not just terminal index 3.
+- Saturating terminal text makes ANSI 1/9 indistinguishable from default
+  text (grep highlights flatten) — flag it and offer a lighter red.
+- Contrast sanity: `#f43841` on `#181818` ≈ 4.6:1 (dark-on-color beats
+  white-on-color here, ~3.9:1 — keep `mOnPrimary` dark).
+- Revert = `noctalia msg color-scheme-set community "<original name>"`; the
+  community cache is untouched by the whole flow.
+- Generated theme files symlinked into the dotfiles repo (`gtk-3.0`/`gtk-4.0`
+  `noctalia.css`, ghostty theme) show up as tracked modifications after
+  `templates-apply`; commit them together with the new palette JSON so every
+  machine gets the same recolor.
+
+## Offline template render (when templates-apply never ran)
+
+Failure signature: niri `failed to read included config from
+~/.config/niri/noctalia.kdl: No such file or directory` — the desktop runs
+but with DEFAULT config (niri 26.04 falls back, does not exit): no custom
+keybinds/rules, no noctalia autostart, default output placement. ghostty:
+`theme "noctalia" not found, tried ~/.config/ghostty/themes/noctalia`.
+alacritty: import of `~/.config/alacritty/themes/noctalia.toml` missing.
+
+Root cause pattern: upstream dotfiles commits theme switches (niri include,
+ghostty `theme = noctalia`, alacritty import) that depend on noctalia
+TEMPLATE-GENERATED files. Those files are per-host outputs (rendered from
+the local palette) and are intentionally NOT in the repo; on any host where
+`templates-apply` never ran, they don't exist.
+
+Fix (offline, works while a session runs) — built-in templates live at
+`/usr/share/noctalia/assets/templates/` (declared in `builtin.toml`); render
+each needed one with the live palette:
+
+```bash
+# niri include (plain host-local file; do NOT symlink into repo — regenerated per host)
+noctalia theme --theme-json ~/.config/noctalia/colors.json \
+  --render "/usr/share/noctalia/assets/templates/niri/niri.kdl:$HOME/.config/niri/noctalia.kdl"
+mkdir -p ~/.config/ghostty/themes && \
+noctalia theme --theme-json ~/.config/noctalia/colors.json \
+  --render "/usr/share/noctalia/assets/templates/ghostty/ghostty:$HOME/.config/ghostty/themes/noctalia"
+mkdir -p ~/.config/alacritty/themes && \
+noctalia theme --theme-json ~/.config/noctalia/colors.json \
+  --render "/usr/share/noctalia/assets/templates/alacritty/alacritty.toml:$HOME/.config/alacritty/themes/noctalia.toml"
+```
+
+All template tokens (primary, surface, error, primary_container, …) resolve
+from the flat 16-key colors.json; container tokens are derived, never blank.
+
+Verify: `niri validate` → rc 0; `ghostty +validate-config` → rc 0; next
+login journal shows `loaded config from config.kdl` with NO parse WARN,
+custom output placement (`niri msg outputs` vs display.kdl), noctalia
+autostarted (`pgrep noctalia`).
+
+Traps: **`noctalia msg templates-apply` on 5.0.1 returns "ok" but applies
+NOTHING** (this build's opt-in config schema does not act on it) — do not
+trust its exit code, use the explicit `--render` calls above. Niri config
+errors at boot are NOT fatal — the compositor keeps running on defaults,
+which reads as "some settings silently stopped working", not a crash.
+Regenerate after any palette change; the rendered files are static
+snapshots.
+
+## Niri output rotation and pinning
+
+Verified on blankpad, niri 26.04 (two PM1601 externals + eDP-1 laptop panel).
+
+**Ground truth first:** `niri msg outputs` (connector names, current mode,
+scale, transform, logical pos/size) and `niri --version`. Output **names are
+connector names** (`eDP-1`, `DP-2`, `HDMI-A-1`), not EDID model strings —
+the EDID strings printed before them are decoration. On blankpad the live
+config splits via `include "./cfg/*.kdl"` from `~/.config/niri/config.kdl`,
+and `cfg/display.kdl` is a **symlink into the dotfiles repo** — edit the
+repo path (that is what gets committed); check with `ls -ld`.
+
+**Transform direction is counter-clockwise** (`niri msg output <NAME>
+transform --help`): `90` = content rotated 90° CCW ⇒ the panel's **top
+bezel sits on the LEFT**; `270` = top bezel RIGHT; `180` = upside down;
+`flipped-90`/`flipped-270` = mirrored variants. `90` vs `270` is a
+physical-stand fact no tool can read (portable monitors expose no
+orientation in EDID/MCCS) — pick one, apply, and hand the user the one-liner
+to flip; don't stall on the question.
+
+Two traps when editing the config:
+
+1. **An `output "X" { … }` block resets every property you don't restate to
+   its default.** Pinning position on `eDP-1` without repeating `scale 1.25`
+   silently drops the laptop panel to scale 1.0. Restate `scale` (and
+   `mode`) in every block you touch.
+2. **Niri re-runs auto-layout for outputs with no pinned position.** Pinning
+   only the externals shoved `eDP-1` from `0,0` to `3936,0`. Pin every
+   output's position to keep the left-to-right order. Positions are logical
+   pixels at each output's own scale; x-offsets chain (eDP-1 logical width
+   1536 → DP-2 at 1536 → +1200 portrait width → HDMI-A-1 at 2736):
+
+```kdl
+output "DP-2"     { scale 1 transform "90" position x=1536 y=0 }
+output "HDMI-A-1" { scale 1 transform "90" position x=2736 y=0 }
+output "eDP-1"    { scale 1.25 position x=0 y=0 }   // MUST restate scale
+```
+
+Apply and verify:
+
+```bash
+niri validate -c ~/.config/niri/config.kdl      # exit 0
+niri msg action load-config-file                # live reload; NOT reload-config
+sleep 1; niri msg outputs | grep -E '^Output|Transform|Logical|Scale'
+```
+
+Success looks like `Logical size: 1200x1920` (swapped) plus
+`Transform: 90° counter-clockwise` on each rotated panel, positions matching
+the intended chain. One-off rotation without touching config (temporary):
+`niri msg output DP-2 transform 90`. Commit via the dotfiles repo
+(`~/.omp`, `main`; push to the local Gitea permitted): `git pull --ff-only`
+→ add the display.kdl → commit → push. Pitfalls: `reload-config` is not a
+niri subcommand; never SIGUSR1 a terminal to "reload" (niri config reloads
+do not touch ghostty themes); no man page for niri on this host — `niri
+<sub> --help` and `/usr/share/doc/niri/default-config.kdl` are the docs.
+
+## GPU RGB over I2C (EVGA iCX3)
+
+Turn RGB on/off (or read it back) on an EVGA FTW3 / iCX3-controller GPU
+(the 3090 on dankclaw) using the GPU's own nvidia i2c bus. No display
+engine, no X, no daemon — the mode is EEPROM-saved and survives reboot.
+
+- **Find the controller:** the nvidia i2c driver exposes the card's lighting
+  ports as `/dev/i2c-N`; on the 3090 FTW3 that is ports 1,5,6,7,8 →
+  i2c-1..i2c-5, and only i2c-1 carries a live slave (NVIDIA port 1). Probe
+  each bus. The iCX3 MCU answers at address **0x2D**. `/dev/i2c-*` are
+  `root:i2c 660` — run with `sudo` (dank has passwordless sudo).
+- **Protocol (raw I2C_RDWR, NOT the SMBus ioctls)** — write the register
+  byte first, then the payload:
+  - enable `0xB2` write `04 C6 EB EA 15` (required once before mode writes)
+  - mode `0xC0` write `09 m0 m1 m2 m3 .. .. .. .. SYNC`; m0..m3 are the four
+    zone modes, `MODE_OFF = 0x00`; OFF = `09 00 00 00 00 FF FF FF FF 00`
+  - save `0x90` write `04 9E EB 00 90` (commit to EEPROM — the
+    reboot-persistence step)
+  - fw `0xB1` block read (firmware version)
+  - Read the mode back: write reg `0xC0`, then read 16 bytes; bytes 1..4 are
+    the zone modes (0x00 = OFF), bytes 6..9 the per-zone LED counts.
+- **Verify persistence:** after a reboot, read the mode — all four zone
+  modes `0x00` means the EEPROM save held (confirmed 2026-09-19 post-reboot).
+- **Tool:** a ~90-line I2C_RDWR reader/writer lived at `/tmp/evga_raw.c`
+  (`evga_raw <bus> mode|off|save|enable|fw`) — `/tmp` is wiped by reboot, so
+  recreate it if needed; OpenRGB's `EVGAGPUv3Controller.cpp` carries the
+  same protocol plus the full colour API.
+- Gotchas: raw I2C_RDWR only (the iCX3 answers the raw form, not the SMBus
+  ioctls); the `enable` write must precede the first mode write in a
+  session; without the `save` write the mode is RAM-only and resets on power
+  cycle.
+
+## Related
+
+- [[Command Center Dotfiles]] — the stow-equivalent deploy this page links into
+- [[Hermes]] — the agent that drove the CDP daemon alongside this desktop
+- [[GGUF Compatibility]] — unrelated but shares the "read the file, not the name" lesson
@@ -5,3 +5,115 @@ description: "The *arr automation stack (Prowlarr, Sonarr, Radarr, Lidarr, Reada
 tags: [arr-stack, prowlarr, sonarr, radarr, lidarr, readarr, qbittorrent, frankbook-pro, dankserver]
 timestamp: 2026-09-04T00:00:00Z
 ---
+
+# *arr Stack
+
+The *arr automation stack runs on **FrankBook-Pro** (the Mac mini) as quadlets
+inside its podman machine; all egress rides the gluetun WireGuard netns. The
+per-service pages ([[Prowlarr]], [[Sonarr]], [[Radarr]], [[Lidarr]],
+[[Readarr]], [[qBittorrent]]) carry deployment facts; this page holds the
+cross-cutting API and auth-posture procedures.
+
+## API version split (memorize before any *arr HTTP call)
+
+- Sonarr/Radarr: `/api/v3/…`; Lidarr/Readarr/Prowlarr: `/api/v1/…`.
+- Prowlarr is port **9696** — 8090 is Jackett.
+- **Empty body = endpoint absent**, not a failure: probe endpoints by status
+  code first; v1 has no `/api/v1/profile` endpoint at all.
+- `PUT /downloadclient` and `PUT /indexer/{id}` take a SINGLE resource object
+  (GET it, patch `settings`, PUT the whole object back). An array body fails
+  with `Path: $ | BytePositionInLine: 1`.
+- API keys live in each container's config:
+  `podman exec <svc> grep -o "<ApiKey>[^<]*" /config/config.xml | cut -d">" -f2`.
+  They are local-only secrets — they stop being secret the moment a vhost
+  serves the API unauthenticated.
+
+## Schema-first probing (validators are free documentation)
+
+Send the FULL schema template object with fields filled; v1 validators reject
+partials, and each error names the next required field — peel validators one
+live call at a time instead of guessing payload shapes:
+
+- `'Fields' must not be empty` → send a full schema copy, not `fields:[]`.
+- `'Base Url' must not be empty` when keys were camelCase → **PascalCase is
+  required** (`BaseUrl`, `ApiKey`) — schema keys, not the JSON wire keys.
+- `DefaultMetadataProfileId must be > 0` → fetch real ids from
+  `GET /api/v1/metadataprofile` (rows like `(1,'Standard')`);
+  `GET /api/v1/qualitydefinition` returns the quality CATALOG — ids ≠
+  profiles.
+- `targetType null` → configContract not registered in that build (this
+  Prowlarr build has no Prowlarr-plugin indexer; integration is
+  Torznab-family only).
+- `testingPackageId` in a PUT body downgrades validation failures to
+  warnings.
+- `syncLevel` is enum `ApplicationSyncLevel` — omit it or use the int; a
+  string is rejected.
+
+**Verification rules:** `POST /downloadclient` returns the COLLECTION, not
+the created object — verify via GET. Test endpoints return verdicts in the
+BODY at HTTP 200 (`{}` = pass, a list = fail) — judge from bodies, not
+status codes. Command POSTs (`MoviesSearch`, `ApplicationSync`) run
+server-side and respond only when the work finishes: curl `-m` timeouts
+(HTTP 000) during a search are NOT failures — poll queue/history afterward
+instead of re-firing; warm small commands (`RefreshMonitoredDownloads`)
+answer in ~20 ms, so a hang means live work in progress, not a dead API.
+
+**DB as arbiter:** when endpoint shapes are opaque, stop the container and
+edit `/opt/prowlarr/config/prowlarr.db` with `sudo python3` sqlite directly,
+then start. The indexers table columns are
+Id/Name/Implementation/Settings/ConfigContract/Enable/Priority/Added — the
+enable flag column is `Enable` (not `EnableRss`). Prowlarr's real application
+settings values live in `prowlarr.db` → `Applications.Settings` JSON (the
+`/api/v1/applications` GET responses carry `fields: []`).
+
+## Auth posture probe (ground truth is behavior, not config flags)
+
+`AuthenticationMethod=None` + `AuthenticationRequired=Enabled` in
+`config.xml` is ambiguous on paper; on the wire it means a login screen with
+**zero users** — first-account-wins.
+
+1. **Confirm which host runs the service before probing** (`podman ps` on
+   the target, not the box you ssh'd into first — the arrs live on
+   FrankBook-Pro).
+2. Probe an API endpoint that bypasses the SPA shell, locally and through
+   any vhost: `curl -s -o /dev/null -w "%{http_code}"
+   http://<host>:<port>/api/v3/system/status`. **SPA roots (`/`) always
+   serve a 200 shell — never conclude "open" or "gated" from `/`.**
+   401 = gated; 200 + JSON = API fully open (anyone on the net can drive it
+   with curl).
+3. For config truth, dump the whole file
+   (`podman exec <svc> cat /config/config.xml`), not a piped
+   `grep | sed -n 2p`: **`sed -n Np` exits 0 on zero matches**, so the
+   pipeline hides a miss and you conclude "empty field" when the grep itself
+   failed.
+4. Decision framing: when posture = gated-with-zero-users, present it as a
+   decision menu (None behind the front-door wall vs External/authentikarr),
+   not a silent change — first-account-wins means whoever logs in first owns
+   the instance.
+
+## The `None` + `Enabled` auth-config trap (v1 .NET apps)
+
+`<AuthenticationMethod>None</AuthenticationMethod>` +
+`<AuthenticationRequired>Enabled</AuthenticationRequired>` is
+self-contradictory: the UI Save is permanently disabled, and any save throws
+`DryIoc.ScopedItemException` in `AuthorizationMiddleware` → 500 on every
+page after restart. The valid no-auth representation is **absence of the
+`<AuthenticationRequired>` key**, not the literal string `Disabled`. Fix =
+delete the key from `/config/config.xml`
+(`sed -i "/<AuthenticationRequired>/d"`), restart the container. Tell-tale:
+one v1 app boots clean while siblings 500-sprawl → diff their config.xml
+auth blocks; the healthy one shows the correct shape. (Prowlarr runs
+`Forms` + `Enabled` healthily — the crash combo is `None`+`Enabled` only.)
+
+General rules that saved the session these came from: container
+`State=running` ≠ app serving — read `podman logs --tail 12 <c>` before
+theorizing; when a UI gate blocks saving, go under it (these apps keep
+plaintext XML config on disk — read/edit via `podman exec`).
+
+## See Also
+
+- [[Prowlarr]] — indexer feeds and the v2 sync model
+- [[Sonarr]] · [[Radarr]] · [[Lidarr]] · [[Readarr]] — the managers
+- [[qBittorrent]] — download client, 4.6.7 pin, E2E verification
+- [[FrankBook-Pro]] — the host and its podman machine
+- [[Homepage Status Probes]] — how the e2e gate treats this sleeping host
@@ -111,6 +111,90 @@ Restart=always
  probe one ssh-context out returns the residential IP — a false leak alarm.
 - Ensure umask is set to `022` so downloaded files are readable by arr apps.

+## E2E verification after any pipeline change
+
+Run after ANY change to the torrent pipeline — WireGuard credential rotation,
+qB version change, gluetun reconfig, category re-seeding. Proves the full
+grab path (tunnel egress → qB download → category save path → clean
+removal). All commands from a dev box via `ssh frankbook-pro`; inside the
+Mac shell export `PATH="/usr/local/bin:/opt/homebrew/bin:$PATH"` for
+`podman machine ssh`.
+
+**Access note (2026-09-21):** the Mac's login user is **dank**@192.168.0.112
+(NOT core — `core` is the podman-machine VM user, reached only via
+`podman machine ssh`). blankpad has key auth for `dank@` (bootstrapped
+2026-09-21) and a `frankbook-pro` alias in `~/.ssh/config`. macOS sshd has a
+low MaxAuthTries: when password-bootstrapping use `-o
+PreferredAuthentications=password -o PubkeyAuthentication=no
+-o IdentitiesOnly=yes` or the key offers exhaust the attempts before the
+password is tried.
+
+**1. Egress gate — MUST run inside gluetun:**
+
+```bash
+podman machine ssh 'podman exec gluetun wget -qO- https://ipinfo.io/json'
+```
+
+Require `org` = AS9009 (M247 — ProtonVPN Panama PA-12 config); judge by org,
+never country alone. NEVER run this one ssh-context out (bare `wget` on the
+Mac host): it silently returns the residential Comcast IP and reads as a
+hard-gate leak that does not exist. A residential reading ⇒ re-run inside
+the container before diagnosing.
+
+**2. Login — generic cookie parse.** The QPW fetch is flaky (~1 in N returns
+empty); assert length before use — an empty-password run once produced a
+Forbidden loop that cost hours:
+
+```bash
+QPW=$(podman machine ssh 'cat /home/core/Containers/qbittorrent/env' | grep QBIT_WEBUI_PASSWORD | cut -d= -f2)
+[ ${#QPW} -eq 20 ] || exit 1
+SID=$(curl -si --data-urlencode "username=admin" --data-urlencode "password=$QPW" \
+  http://127.0.0.1:8080/api/v2/auth/login \
+  | grep -oE '[A-Za-z_]*SID[A-Za-z0-9_]*=[^;[:space:]]*' | head -1)
+curl -b "$SID" …   # pass the WHOLE match
+```
+
+WebUI from the LAN: `http://192.168.0.112:8080` (published on the gluetun
+unit). Username `admin`; password = the machine-local `QBIT_WEBUI_PASSWORD`
+(20 chars, generated once at provisioning by the deploy handler — never in
+the repo). Parse-bug 403s never reach qB as failed logins — no ban accrues;
+server-side truth is `/Volumes/COMPLETE/qbittorrent-data/qBittorrent/config/qBittorrent/logs/qbittorrent.log`
+(`WebAPI login success/failure` + source IP). Repeated REAL failures accrue
+toward qB's 5-failures/3600 s IP ban.
+
+**3. Add a legal test torrent.** Blender open-movie torrents (~300 MB, e.g.
+Big Buck Bunny) via `POST /torrents/add` with the raw `.torrent` file
+(`-F "file=@…"`) and `category=Finished Torrents`. Never leave a real-looking
+grab behind.
+
+**4. Poll and verify.** Poll `GET /torrents/info` (~20 s): state
+`downloading` → `moving` (INCOMPLETE→COMPLETE move) → `stalledUP`/`uploading`
+at progress=1. `save_path` must be `/Volumes/COMPLETE/Finished Torrents`
+(qB 4.x auto-creates unknown categories at DefaultSavePath; 5.x did NOT
+inherit category paths — one more reason for the 4.6.7 pin). Confirm on
+disk: `ls "/Volumes/COMPLETE/Finished Torrents/"`. Throughput ~17 MB/s is
+normal for the tunnel.
+
+**5. Cleanup — delete only your artifact:**
+
+```bash
+curl -s -o /dev/null -w "%{http_code}" -b "$SID" \
+  --data-urlencode "hashes=<literal-hash>" \
+  --data-urlencode "deleteFiles=true" \
+  http://127.0.0.1:8080/api/v2/torrents/delete   # expect 200
+```
+
+Target the known hash literally — the user's real grabs share the directory
+and MUST be untouched. Verify: hash absent from `/torrents/info`, your dir
+gone, all other entries intact.
+
+**Version-coupling constraints:** qB is pinned to 4.6.7 (Readarr's EOL
+client rejects qB ≥ 5's `204` login at runtime — see the pin rationale
+above). Do not unpin while Readarr exists. After ANY qB version flip,
+regenerate the `WebUI\Password_PBKDF2` line fresh (same password, 100k
+iterations) — a 5.x-written hash line makes 4.6.7 reject every login.
+Rewrite while qB is stopped.
+
 ## See Also

 - [[ARR-Stack]] — full *arr stack documentation
@@ -131,6 +131,55 @@ ungated), and gitea (git smart-HTTP clients cannot solve JS challenges —
   distinguish challenge from deny at this release; grep the body for
   `Access Denied` / `Making sure you` instead.

+## Guard-chain layer diagnosis (a user reports a guarded page "broken")
+
+Use when a guarded page (e.g. the `www.franksdank.cloud` homepage) reads as
+"broken / links gone / not loading" and the fault must be localized to
+server-side or client-side/session. Chain topology:
+`Browser → Caddy TLS edge → Anubis :8923 → Caddy :8016 → Authentik outpost
+→ Caddy :8017 (@home/@data handlers) → app/static`.
+
+Layer-by-layer checks (run from the host via ssh):
+
+1. **Caddy unit + guard containers**: `systemctl --user is-active
+   caddy.service`; `podman ps --format '{{.Names}}\t{{.Status}}' | grep -iE
+   'anubis|authentik|caddy'` — expect `Up … (healthy)`.
+2. **Anubis challenge page validity**: `curl -sk
+   https://www.franksdank.cloud/ --resolve www.franksdank.cloud:443:192.168.0.143`
+   — a healthy challenge contains `"anubis_challenge"` JSON with
+   `difficulty` and the main JS.
+3. **Outpost errors**: `podman logs --tail 40 authentik-outpost 2>&1 | grep
+   -iE 'error|exception|traceback|500|provider'` — routine dramatiq task
+   logs are normal.
+4. **Post-auth handlers from INSIDE the caddy container** (8016/8017 live in
+   its netns — `curl http://127.0.0.1:8017` from the HOST returns `000`
+   connection refused, which is EXPECTED, not a fault):
+   `podman exec caddy sh -c 'wget -q -S -T5 --header "Host:
+   www.franksdank.cloud" -O- http://127.0.0.1:8017/'` and the same for
+   `/services.json`, `/status.json`. Expect 200 + body. (BusyBox wget in
+   this container has NO `-H` flag — use `--header "Host: …"`.)
+5. **Files on disk**: `ls -la /srv/homepage/` and validate `status.json`
+   parses (`python3 -c "import json;json.load(open('/srv/homepage/status.json'))"`).
+
+Tool/behavior notes: the anubis container is distroless — `podman exec anubis
+sh` fails (`sh: executable not found`); inspect via its logs or the served
+challenge page. Anubis logs `x-real-ip: 10.89.1.22` (the Caddy container's
+podman IP) for ALL clients — rootless-podman published-port SNAT;
+clients are indistinguishable by IP and clearance is cookie-based. Do NOT
+mistake that for the bug. Homepage render: `app.js` does
+`Promise.all([fetch services.json, fetch status.json])`; on ANY fetch
+failure the catch sets `#summary` to `status unavailable: <err>` and the
+grid stays EMPTY — which a user reads as "links gone / not loading." A
+30-service status.json with a 9-service services.json renders fine
+(stateByName lookup).
+
+**Decision:** if every layer is healthy (challenge valid, outpost clean,
+handlers 200, files render), the fault is client-side/session. STOP
+thrashing the live system — repeated failed browser challenges share the
+masked 10.89.1.22 identity. Get the authenticated view: ask for the exact
+symptom (challenge spinning? login loop? empty grid? "status unavailable"
+text?) or the authentik login to drive the page in a real browser.
+
 ## Verify live

 ```
@@ -342,6 +342,178 @@ The silent re-auth path was proven end-to-end: after deleting
 `qa-e2e-admin`'s rows, the e2e admin spec ran against the stale storage
 state and passed with no login prompt (2 tests, 2.9 s).

+## Guard-chain flip recipe (adding a guarded vhost)
+
+Move a public vhost from `reverse_proxy <app>:<port>` onto the chain:
+client → TLS edge → Anubis :8923 → outpost decision → internal
+`http://:8017` listener → Host-matched handler → real upstream.
+
+**Order (never reorder):**
+
+1. **Provider first.** Create the outpost ProxyProvider before touching
+   routes, or authed traffic hits the outpost error page instead of the app.
+   Fleet convention for `external_host` is the exact browser-facing origin
+   (the inventory table carries both bare origins and trailing slashes;
+   routing matches on hostname, verified 2026-09-02).
+   `internal_host = http://caddy:8017`, all three flows set, and an
+   Application attached — the two provisioning rules above.
+2. **Route flip in ONE commit/deploy**: the vhost becomes
+   `reverse_proxy anubis:8923` with `header_up X-Real-Ip {remote_host}`, and
+   inside the `http://:8017` listener add `@<svc> host <vhost>` +
+   `handle @<svc> { reverse_proxy <upstream> }`. Anubis guard set, Caddy TLS
+   edge, `:8017` routing table, and provider list change together.
+3. Deploy via the repo deploy flow (commit first; deploy pushes main itself).
+
+**Verification (all three):**
+
+- Unauthenticated probe from a client: `curl -s https://<vhost>/` → HTTP 200
+  challenge page; grep the body for `challenge|not a bot|anubis` (~8
+  markers on a live challenge). A 502 here instead of the challenge = chain
+  mis-wired.
+- Post-auth routing proof: grep the LIVE config inside the container —
+  `podman exec caddy sh -c "grep -n -A3 <handler> /etc/caddy/Caddyfile"` —
+  after the deploy prints its reload line; confirm the reload actually ran,
+  don't trust exit 0.
+- Outpost reachability: `podman exec authentik-server getent hosts caddy`
+  resolves the compose DNS alias (10.89.1.x) that `internal_host` dials.
+
+**Pitfalls:** probing `http://localhost:8017/` from the host returns HTTP
+000 (connection refused) — the post-auth listener lives in the caddy
+container's netns; probe inside it or grep the config. Non-browser clients
+cannot solve the JS challenge — before flipping, audit service-to-service
+traffic: ingestion/push paths must target internal addresses (`loki:3100`),
+never a public hostname of a guarded service. Exempt-by-construction
+categories stay unguarded: the IdP itself (`auth.`), git smart-HTTP
+endpoints, services with their own complete auth — document the exemption
+in the vhost comment.
+
+## Driving the ORM (`ak shell`)
+
+All authentik object work happens through the server container's ORM shell —
+no repo change, no deploy (these providers are NOT repo-managed; capture new
+provider+application pairs as a blueprint or setup script to avoid drift).
+
+```bash
+ssh dankclaw 'podman exec -i authentik-server ak shell' <<'EOF' | sed -n '/229 objects/,$p'
+from authentik.core.models import User, Group
+...
+EOF
+```
+
+- The heredoc IS the program: `ak shell` reads all of stdin and execs it
+  (heredoc-through-ssh quoting breaks; the raw-stdin pattern is the proven
+  one).
+- Bootstrap prints JSON log lines, then
+  `### authentik shell (2026.8.3)` and `229 objects imported automatically…`
+  — pipe through `sed -n '/229 objects/,$p'` to drop the noise.
+- 229 models are pre-imported. Import paths (each wrong guess costs a failed
+  exec): `User`, `Group`, `Application`, `ApplicationEntitlement`,
+  `PropertyMapping` → `authentik.core.models`; `ProxyProvider` →
+  `authentik.providers.proxy.models` (NOT `authentik.outposts.models`);
+  `LDAPProvider` → `authentik.providers.ldap.models`;
+  `authentik.core.models.application` does NOT exist as an import path; there
+  is no `authentik.policies.group` module in this build.
+- For live DB truth prefer the postgres container
+  (`podman exec authentik-postgres psql -U authentik -d authentik -At -c
+  "select * from …"`) — **query with `select *` and stop guessing column
+  names**: 2026.x renamed columns (`Provider.objects.filter(type=…)` raises
+  FieldError — `type` moved to subclass tables; the outpost `enabled` column
+  may not exist under that name; provider pk is `oauth2provider_ptr_id`).
+
+## User provisioning playbook (user-level account)
+
+There is no `User.create_user` classmethod, and `is_superuser` is NOT a
+constructor kwarg (it is a property derived from group membership) — passing
+it raises `TypeError: User() got unexpected keyword arguments`:
+
+```python
+from authentik.core.models import User, Group
+u = User(username="ridley", email="ridley@franksdank.cloud", name="Ridley", is_active=True)
+u.set_password("...")        # password arrives on stdin only, never argv
+u.save()
+for g in ("Non-Admin Users", "jellyfin_users", "openwebui_users"):
+    u.groups.add(Group.objects.get(name=g))
+```
+
+`path` defaults to `users` (regular). The access map (verified live
+2026-10-04): there are NO per-app policy bindings on the proxy providers
+(all use the implicit-consent "Authorize Application" flow), so guarded-vhost
+access is decided entirely by GROUP MEMBERSHIP consumed downstream —
+
+- `homepage-admins` → Caddy RBAC for homepage `/admin` (`X-Authentik-Groups`
+  regex gate) and the homepage admin panel; regular users get only
+  `category: user` panels from `services.json`.
+- `openwebui_users` / `openwebui_admins` → ApplicationEntitlements
+  "Open WebUI Users"/"Open WebUI Admins" (bound by group), consumed by the
+  "Open WebUI roles" property mapping → `roles` claim. Verify live with
+  `u.app_entitlements(app)`.
+- `jellyfin_users` / `jellyfin_admins` → Jellyfin via the LDAP outpost
+  (filter `(memberOf=cn=jellyfin_users,ou=groups,dc=franksdank,dc=cloud)`).
+- `Non-Admin Users` = the plain-user marker group (precedents: qa-e2e, and
+  every human account).
+- **The human-user template** (ridley, kassie, alex, artem, kirby, ry, nic,
+  debo, freya — kirby/ry/nic/debo/freya (pk 17–21) created 2026-10-09, kassie
+  and alex created 2026-10-08, artem (pk 16) created 2026-10-07): `username` +
+  `<user>@franksdank.cloud` + display name +
+  `is_active=True` + the password set via `set_password`, membership in
+  `Non-Admin Users` + `jellyfin_users` + `openwebui_users`. `alex` was
+  recreated from scratch on 2026-10-08 into this shape (the old row had an
+  empty email and no `openwebui_users`; audit first — the row carried no MFA
+  device, token, entitlement, or proxy session, and events survive a user
+  delete because `Event.user` is a denormalized JSON field, not a FK).
+- EXCLUDE from a user-level account: `homepage-admins`, `jellyfin_admins`,
+  `openwebui_admins`, `authentik Admins`, `authentik Read-only`.
+- Other user-category vhosts (SearXNG, Gitea, Calibre-Web, RomM, Copyparty,
+  Plex, Seerr, Marreta) need no per-user group: any authenticated user
+  passes the outpost.
+
+Verify login behaviorally — `authenticate()` is the exact PasswordStage code
+path:
+
+```python
+from django.contrib.auth import authenticate
+assert authenticate(request=None, username="ridley", password="...")   # -> User
+assert authenticate(request=None, username="ridley", password="nope") is None
+```
+
+Look flows up by slug, not name:
+`Flow.objects.get(slug="default-authentication-flow")` (its `.name` is
+"Welcome to authentik!" — `.get(name=…)` fails). Stage order:
+Identification(10) → Password(20) → AuthenticatorValidate(30; no-op with no
+enrolled device) → UserLogin(100). With no MFA enrolled, nothing else blocks.
+
+More field gotchas (each cost a failed exec): `ApplicationEntitlement.application`
+can be null (guard with `getattr`); `LDAPProvider` has
+`search_mode`/`bind_mode`/`base_dn`, lacks `search_base`/`of_groups`/
+`organization`; `OAuth2Provider` has no `.scopes`; `Outpost.config` is an
+`OutpostConfig` object, not a dict; `Policy` has no uniform `.policy_cls`
+(use `type(p).__name__`); `User` has no `.status`.
+
+Never rotate `AUTHENTIK_SECRET_KEY` to fix claim issues — it invalidates
+every outpost session fleet-wide; purge the stale `proxysession` rows
+instead (section above).
+
+## Probing the outpost from inside the netns
+
+Rootless podman gives each container its own netns; **host `ss -ltn` cannot
+see listeners inside other containers' namespaces** — a missing listener on
+the host is an observation artifact, not a fault. Distroless images have no
+shell (`podman exec authentik-server sh` fails), so probe by joining the
+namespace:
+
+```
+podman run --rm --network container:<container> --entrypoint /bin/busybox \
+  docker.io/library/busybox:latest \
+  wget -q -T 4 -t 1 -O /dev/null -S "<url>" 2>&1 | head -8
+```
+
+- Quote URLs over ssh: the remote shell is zsh and bare `?` in query strings
+  triggers globbing (`no matches found`).
+- Boot transience: immediately after a restart the same probe can return 503
+  (configure task pending); poll until the answer changes before concluding.
+- `podman inspect --format "{{.Config.NetMode}}"` errors on this podman
+  version — the field is `.HostConfig.NetworkMode`.
+
 ## Failure modes

 | Symptom | Cause | Fix |
@@ -0,0 +1,158 @@
+---
+type: reference
+title: Homepage Status Probes
+description: The homepage TUI status page — how probe targets are chosen (host-netns vantage), the three false-down shapes, triage procedure, local render check, deploy, and the e2e gate interactions (asleep Mac mini, raw-IP matrix).
+tags: [homepage, status, probes, e2e, homepage-status]
+timestamp: 2026-10-05T00:00:00-07:00
+---
+
+# Homepage Status Probes
+
+The homepage is a static site —
+`shared/homepage/{index.html,admin.html,app.js,style.css,services.json,docs.html}`
+— served from `/srv/homepage` on **dankclaw** only (`deploy_homepage` in
+`scripts/deploy-remote.sh` refuses other targets). A checker
+(`scripts/homepage-status.py`, run by the `homepage-status.timer` unit) probes
+each card's target and writes `/srv/homepage/status.json` (mode **0644** so
+Caddy can serve it — losing the mode 403s the page).
+
+## The checker's vantage and its three false-down shapes
+
+The checker probes TCP/HTTP **from the host netns**. It only has three states
+— `wip` | `up` | `down`; there is no "unknown", so an unprobeable service can
+never render honestly and must be dropped or re-pointed, not "fixed".
+
+1. **TLS-only app probed with `method:"http"`.** Plex Media Server serves TLS
+   only on `32400`; plain-HTTP GET → TLS alert → curl exit 52, code `000` →
+   card says down while PMS answers `200` over HTTPS. Fix:
+   `"method":"tcp"` (connect is the honest liveness signal; the public URL
+   stays HTTP because Caddy re-keys).
+2. **Retired port.** The Hermes card probed `127.0.0.1:8090` after the
+   compose→quadlet move moved the dashboard to `9119` and the webui to
+   `8787`; nothing listened on 8090, so a healthy stack read `down`.
+3. **Unpublished port / wrong netns.** `gitea-postgres` (`db:5432`, net
+   `systemd-gitea`), `searxng-valkey` (`valkey:6379`, net `systemd-searxng`)
+   and `alloy` (OTLP 12345) publish **no** ports. Container DNS aliases are
+   netns-scoped, so from the host these are unreachable *by construction* —
+   no probe value makes them honest. Drop those cards.
+
+A host-vantage probe can only reach a listener **published to the host**
+(rootlessport/pasta); unpublished ports are invisible from the host netns.
+See [[Container Host Reachability]] for the netns rules.
+
+## Triage procedure
+
+1. Read the card's probe target in `shared/homepage/services.json`; note
+   method (`tcp` vs `http`).
+2. Does that port have a **host-visible listener**?
+   `podman ps -a --format '{{.Names}}|{{.Status}}'`, then per container
+   `podman inspect <c> --format '{{json .NetworkSettings.Networks}}
+   {{.HostConfig.NetworkMode}}'` and `podman port <c>` (empty output =
+   published nothing → structurally unprobeable from the host).
+3. Probe from the **correct vantage**: from a bridge-net container the host
+   is its gateway IP (`/proc/net/route`, e.g. `10.89.1.1` on
+   `dankclaw_default`) — *not* `host.containers.internal` (`169.254.1.2`),
+   which belongs to the default `podman` net (`10.88.0.0/16`). Probe with
+   bash `/dev/tcp` (no `python3`/`ip` in these images); escape loop vars so
+   they expand **inside** `podman exec bash -c`.
+4. Classify: real outage (container exited — read `State.ExitCode`: 137 =
+   SIGKILL, 143 = SIGTERM/manual stop; `OOMKilled=false` rules out the OOM
+   killer) vs false down (running + unreachable target).
+5. Fix: re-point or re-method for HTTP/TLS mismatches; **drop** cards whose
+   only exposure is an internal netns; never invent a probe target.
+6. Verify by re-running the checker path, not by eyeballing: after deploy,
+   re-read `/srv/homepage/status.json` and diff the `down` list
+   before/after.
+
+Removing a card's `probe` key without a code change crashes the checker
+(`svc["probe"]` KeyError) — dropping the whole entry is the only zero-code
+fix. The `description` field is consumed only by `app.js` `descHTML()`, so
+adding a `details` object (role/spec/inputs/use) is schema-safe:
+`tests/homepage_config.bats` checks only name/category/section/probe.
+
+## Local render check (before every deploy)
+
+The page fetches `services.json` + `status.json` at load; `file://` is
+CORS-blocked, so serve over HTTP:
+
+```bash
+cd shared/homepage
+python3 -c "import json; s=json.load(open('services.json')); \
+  json.dump({'services':[{'name':x['name'],'state':'up'} for x in s]}, open('status.json','w'), indent=2)"
+python3 -m http.server 8899 --bind 127.0.0.1
+```
+
+Then in the browser: load `http://127.0.0.1:8899/index.html`, **wait ~1.5 s**
+(panels render after the async fetch; checking immediately returns 0 panels),
+extract via `tab.evaluate` — LLM cards render `.desc-role`/`.desc-spec`/
+`.desc-inputs`/`.desc-use` from the card's `details` object, other cards a
+plain `.desc`; `getComputedStyle(el).color` confirms tones. Screenshot for
+visual proof. Expected local noise: `deployed.js` 404s (baked in at deploy
+time) — harmless.
+
+The scratch `status.json` is untracked and NOT git-ignored — move it to
+`shared/homepage/.AGENTTRASH/` after the check (repo policy: never `rm`).
+
+CSS palette lives in `style.css` `:root` (`--fg` bright green, `--dim` dim,
+`--head` pale, `--link` cyan, `--wip` yellow, `--down` red). Add new tones as
+`--*` vars and include any new `.desc-*` class in the `html[data-bare="1"]`
+reset so `?bare=1` strips it to black.
+
+## Deploy
+
+```
+./scripts/deploy.sh dankclaw --service homepage --skip-e2e
+```
+
+Copies the assets to `/srv/homepage`, regenerates `deployed.js` (git commit
+datetime), restarts the `homepage-status` timer. Verify live:
+`ssh dank@192.168.0.143 'grep … /srv/homepage/…'`.
+
+**`--skip-e2e` is justified for homepage-only changes when the Mac mini is
+asleep**: the e2e admin crawl (`tests/e2e/specs/11-admin.spec.ts:24`) walks
+Prowlarr at `192.168.0.112:8989` on FrankBook-Pro; an asleep mini (ARP STALE,
+no remote wake) times out that test — a pre-existing environmental failure,
+not a regression. All non-Mac-mini e2e tests pass.
+
+## e2e raw-IP *arr failures — probe from the browser's box, not a peer
+
+When `11-admin` fails with `ERR_CONNECTION_TIMED_OUT`, the instinct is "the
+Mac is asleep". Sometimes true; not always. Playwright runs on the dev box,
+so a healthy probe from dankclaw proves nothing about the **browser's** path:
+
+```bash
+# 1. From the box that RUNS the browser:
+curl -s -o /dev/null -w '%{http_code}\n' --max-time 7 http://192.168.0.112:8989/
+# 2. From a LAN peer:
+ssh dankclaw 'for p in 8989 7878 9696; do curl -s -o /dev/null -w "$p %{http_code}\n" \
+  --max-time 6 http://192.168.0.112:$p/; done'
+# 3. Liveness (ICMP, not TCP):
+ping -c 2 -W 3 192.168.0.112
+```
+
+| peer probe | dev-box probe | ping | meaning |
+|---|---|---|---|
+| 200 | 200 | ok | transient — re-run the spec |
+| timeout | timeout | fails | Mac asleep; wake, ports return in seconds |
+| **200** | **rc=28** | **ok** | **path problem, not sleep** — ICMP allowed, TCP blocked. Waking cannot help |
+
+Third row: confirm the Mac is innocent through the dankclaw jump
+(`pgrep -fl socat`; `netstat -an | grep -c 8989`; loopback
+`curl http://127.0.0.1:8989/` → 200; `/usr/libexec/ApplicationFirewall/socketfilterfw
+--getglobalstate` → disabled). Forwarders up + loopback 200 ⇒ the block is
+between the dev box and the Mac.
+
+Don't hold a deploy hostage to a known-environmental red gate: verify the
+deployed service **directly** (its own ledger/health/real completion), state
+the gate was skipped or partially red and why (`--skip-e2e` prints the
+warning, so the skip is recorded), and report the residual gap plainly
+("29/30 e2e pass; 11-admin fails on Sonarr's raw IP from the dev box; peer
+probe returns 200; deploy verified by other means"). Do not weaken or skip
+the spec — it guards a real SSO-plus-RBAC contract.
+
+## Related
+
+- [[Container Host Reachability]] — the netns rules behind the vantage
+- [[Observability Provisioning]] — the monitoring stack reading the same fleet
+- [[Deploy State Triage]] — service-scoped deploys and the e2e gate
+- [[Testing Policy]] — the seam/e2e contract this page's checks live in
@@ -23,7 +23,7 @@ The homepage is live on Dankclaw. `./scripts/deploy.sh dankclaw` copies the stat
 page (`shared/homepage/docs.html`) — access walkthrough, the running-model
 guide, media how-tos, and troubleshooting. Per-service `/docs/<svc>/` pages
 remain a separate thread. The three LLM cards (`frank-large`, `frank-medium`,
-`frank-small`) moved from admin-only to the **user** page with live model
+`frank-secondary`) moved from admin-only to the **user** page with live model
 descriptions and a `docs` link to `/docs#models`.

 **Sections + WIP split (2026-09-21):** both pages now group their panels
@@ -36,6 +36,211 @@ deliberately unprobeable) via the `wip` value (`"open"` / `"closed"`).
 Tautulli (Plex statistics, `192.168.0.235:8181`) joined the admin page's
 Media Library Apps section.

+**Amber CRT theme + API docs (2026-10-07):** the palette moved from green
+phosphor to amber CRT-AMBIOS (`--fg #ffb000` on `--bg #0a0600`), and the font
+stack now leads with **VT323** loaded from the Google Fonts CDN (the deploy
+also ships `shared/homepage/img/` beside the page, so `/img/*` serves the docs
+screenshots — the post-auth listener serves files only through the `@data`
+path allowlist, so new top-level assets must be added there (the `@home`
+catch-all answers anything else with `index.html`, i.e. a PNG arrives as
+`200 text/html` and renders broken; pinned in `homepage_caddy.bats` — this
+exact bug bit the screenshots on 2026-10-08). The docs page gained a full
+(`/docs#api-access`): per-user OpenWebUI API keys (User menu → Settings →
+Account → API keys), the base URL `https://ai.franksdank.cloud/api/v1`, and
+copy-paste configs for **Opencode** (`~/.config/opencode/opencode.json`) and
+**Pi** (`~/.pi/agent/models.json`) pointing at `frank-secondary`. Shipped
+together with the OpenWebUI side: `features.api_keys=true` for regular users
+and the restored `frank-secondary` model row + public `read` access grant
+without which the picker showed "No results found" for every family account
+(see [[OpenWebUI]]).
+
+**Capability equivalence notes (2026-10-08):** each fleet card (and the
+`/docs#models` section) carries a `details.equiv` line — frank-large
+"equivalent to Claude Sonnet 5 / OpenAI-Luna (Summer 2026 frontier
+intelligence)", frank-primary "equivalent to Claude Opus 4.8 / OpenAI-Terra
+(same era)", frank-secondary "equivalent to last year's frontier level
+(2025)". Rendered by `descHTML()` as `.desc-equiv` (head color, italic);
+pinned in `homepage_config.bats`.
+
+**Protoss rename + Model Information component (2026-10-08):** the model
+cards became the StarCraft trio — `frank-large` → **frank-dragoon**
+(iGPU), `frank-primary` → **frank-archon** (Dankserver), `frank-secondary`
+→ **frank-zealot** (3090). The endpoint/API ids did NOT change in this wave; only the
+family-facing names. The three cards fused into one **Model Information**
+component (`app.js` `renderModelInfo()`, `.model-info`/`.mi-*` styles):
+Protoss unit art (`/img/unit-<unit>.jpg`, hex-clipped), per-unit accent
+colours (Dragoon gold, Archon cyan, Zealot blue), smaller type (15px vs
+19px body), and clickable unit-voice lines that play the original
+StarCraft `.ogg` quotations from `/sfx/` (fetched from
+starcraft.fandom.com via its MediaWiki API; the quote→file mapping lives
+in the `model.sfx`/`model.voice.sfx` fields). New `services.json`
+per-model fields: `unit`, `tagline`, `sfx[]`, `voice`, `supervision`
+(dragoon/archon autonomous-safe, zealot tight-supervision), and `warn`
+(uncensored legal note, rendered as a hover tooltip, not wall text).
+A compaction-model recommendation for frank-zealot rides in its `use`
+text. The Caddy `@data` allowlist grew `/sfx/*`; `deploy_homepage` copies
+`sfx/`. A `wip: "down"` badge state ("WIP: DOWN", red) was added; Seerr,
+Calibre-Web, RomM, and Jellyfin are WIP: DOWN with their Open links
+removed. Card notes added: Copyparty holds every other media app's
+content (including the WIP ones); Gitea and Plex need logins separate
+from the dankcloud SSO; SearXNG is obfuscated, not anonymous (upstream
+API keys tie to Frank). The user docs `/docs#models` section carries the
+same renames, api-id mapping, supervision and compaction notes.
+
+**Icons, card polish, admin identity gate (2026-10-08, later wave):** every
+app card now carries hex-clipped art beside its name (`services.json` `art`
+field, files under `img/apps/`): 19 brand marks tinted amber from the
+Simple Icons CDN plus 19 hand-improvised monogram SVGs (amber hex + VT323
+initials) for apps with no mark — Copyparty, Marreta, Hermes (+dashboard),
+node-exporter, Gluetun, OpenWebUI, Calibre-Web, RomM, Seerr, Loki, Alloy,
+Alertmanager, Valkey, Prowlarr, Readarr, Lidarr, Tautulli, ComfyUI. Model
+cards render in the order zealot → dragoon → archon (registry order is the
+contract; `homepage_config.bats` pins it). Dragoon and zealot share one
+common uncensored legal warning (adult content, harmful/hateful/illegal
+descriptions, "sensitive offensive cybersecurity topics", severe legal
+risk, "don't ruin this server for everybody"), rendered as the hover
+label; archon's ask-Frank rule is a bordered red `.mi-perm` callout.
+SearXNG's obfuscation-not-anonymity note moved out of its description into
+a card-level `warn` (`.svc-warn` hover label) and the same hover treatment
+in the docs. Gitea's note now documents self-service signup — no need to
+ask Frank. Footer: docs / admin / account settings are bordered glowing
+`.foot-btn` buttons; **the admin button is identity-gated** — Caddy's
+`/whoami` echoes the outpost-injected `X-Authentik-Username`/`X-Authentik-Groups`
+headers (the outpost strips client-supplied copies, so the echo is
+spoof-proof), and `app.js` shows the button only to `homepage-admins`
+members. The `/admin*` 403 stays the real gate; the e2e specs pin both
+sides (standard user: hidden + 403; admin: visible). Docs were swept for
+naming consistency: Protoss names primary everywhere, bracketed api ids
+at the model headings, and a note that a future switchover renames the
+ids themselves (OpenWebUI picker + raw API + models.yml all move together
+— not done yet).
+
+**Icons v2, clickable tiles, header nav (2026-10-08, third wave):** five
+icons replaced on request — Copyparty gets an improvised amber folder,
+Marreta a crumbling wall (bricks + red crack), Calibre-Web a book,
+OpenWebUI its official logo (`openwebui.com/logo.png`), Seerr the official
+`seerr.dev/os_logo_filled.svg`. Tiles with an open link are now clickable
+whole (`.panel.clickable`, hover lift + glow; clicks on inner links pass
+through). Any panel whose live state is DOWN gets a red gradient wash +
+slow pulsing glow (`.panel.down`, and `.mi-card:has(.badge.down)` for
+model cards). docs/admin/account-settings moved from the footer to the
+header (`nav.top-links`). The zealot compaction advice moved out of the
+Use paragraph into a bordered glowing `model.compaction` callout
+(`.mi-comp`), pinned by the component seam test.
+
+**Protoss theme, brand-color icons, portraits (2026-10-08, fourth wave):**
+the full-page angular treatment: chamfered 14 px-cut panels and model
+cards, hex-lattice + amber-glow backdrop (`body::after`), scanline
+overlay (`body::before`), diamond-glyph section titles with gradient
+underlines, the gradient MODEL INFORMATION gateway, a blinking cursor
+beside the title, amber scrollbars, cyan text selection, cyan hover glow
+on clickable tiles, and a red pulsing glow on down tiles/cards (the
+`data-state="down"` attribute `applyStatus` now sets). Icons recut to
+official brand colors (Simple Icons CDN): SearXNG, Gitea, Plex, Jellyfin,
+Sonarr, Radarr, Lidarr, Readarr, qBittorrent, Prowlarr, Seerr, OpenWebUI,
+Calibre-Web (amber glyph on amber tile). Handcrafted monograms carry
+per-app colors: Copyparty gold, Marreta brick, Grafana orange, Loki
+indigo, Neo4j network, Alloy violet, Promtail pink, Alertmanager red,
+Prometheus orange, Node Exporter teal, cAdvisor sky, Guake yellow,
+Authentik blue, Seer green radar, RomM a purple GameBoy. New per-service
+fields: `art_bg` (art backdrop — OpenWebUI's dark logo needs `#f5f5f5`),
+`warn` on OpenWebUI (searches ride the Seerr→SearXNG path),
+`model.compaction` (the amber "set this as compaction model" callout
+frank-zealot carries). frank-dragoon's card portrait is the SC2 unit
+portrait (fandom wiki `Dragoon_portrait.jpg`, webp→jpeg). The whole
+effect layer is stripped under `data-bare="1"` (the e2e bare page).
+Unit: `tests/homepage_config.bats` (referenced art files exist, model
+blocks well-formed, deployer ships the `img/` tree).
+
+**Docs reorder + model source links (2026-10-08, fifth wave):** the docs
+page section order is now getting-in → troubleshooting → media → chat →
+models → api-access (non-AI first, AI last). The *arr stack (Prowlarr,
+Sonarr, Radarr, Lidarr, Readarr, qBittorrent) is out of the family docs
+entirely — admin tooling; Seerr is presented as the front door for
+requests. Each fleet model gained a Hugging Face source link: card field
+`model.hf` rendered as the cyan `model on huggingface ↗` line under the
+role, and the docs `Model:` bullets link the checkpoint names (zealot →
+HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive, dragoon →
+Quat3rnion/halogen-swift1.5-qwen3.8-flash-next-v2-abliterated, archon →
+Qwen/Qwen3.8-Flash-Next-FP8).
+
+**Navy Protoss console, maximal cornering, font swap (2026-10-08, sixth
+wave):** the amber CRT palette is retired. The page is now deep space
+navy (`#050d16`) with warp-blue/psychic-cyan accents (`--proto-blue
+#3fa9ff`, `--proto-cyan #7fe7ff`) — StarCraft Protoss console colours.
+Cornering went maximal: every panel, model card, badge, button, callout
+and the MODEL INFORMATION gateway are octagon-cut (all four corners
+chamfered, 18–24 px), and panels/model cards gained a second inset
+octagonal frame line (`::before`) — a double-bevel gateway look. Section
+titles are chamfered plates with the diamond glyph inside the plate.
+Fonts: body is **Share Tech Mono** (legible retro terminal), headings
+are **Rajdhani 600** (the StarCraft UI face) — VT323 is retired; all
+three pages load the pair from Google Fonts. Four tiles that had
+reverted to initials got pictograms: Calibre-Web an open book (orange),
+RomM a purple GameBoy, Copyparty a blue folder with upload arrow,
+Marreta a crumbling brick wall with a red crack (`img/apps/app-*.svg`).
+frank-dragoon's card accent is phase-crystal teal (`#5fe0d0`), matching
+the new palette. Bare mode strips the frames, octagon cuts and fonts.
+
+**Simplified console (2026-10-08, seventh wave):** "too busy — clean up
+and simplify/solidify." The sixth-wave effect stack was stripped to
+essentials. Removed: the scanline overlay (`body::before`), the hex
+lattice + twin radial backdrop (one quiet pylon glow above the horizon
+remains), the panel/model-card inner frame lines, all ambient text
+glows (body, title, model names, callouts), the blinking title cursor,
+the gradient section-title plates (headings are plain Rajdhani with a
+hollow diamond glyph + steel underline), the gradient `border-image`
+header rule (solid 2px warp-blue), the pulsing down-state animation
+(down tiles and cards now show a STATIC red border + tint), and the
+button/hover glows. Kept: octagon-cut panels (softer 14 px), unit-color
+model cards, the pictograms, and the fonts. Motion is reserved for
+state — the only animation left is the speaking-voice pulse. The result
+is flat navy panels on crisp 1px borders: same Protoss direction, half
+the pixels.
+
+**Model ids official (2026-10-08):** the card ids `frank-zealot`,
+`frank-dragoon`, `frank-archon` are now the harness's official model ids
+in `models.yml`/`config.yml` (see [[OMP Harness]]); the
+systemd services keep the `frank-primary`/`frank-large`/
+`frank-secondary` names. Homepage, docs page and harness now agree on
+one name per model.
+
+**Api ids renamed on the wire (2026-10-09):** the promise in
+`docs.html` is kept — the served model ids are now `frank-zealot`,
+`frank-dragoon`, `frank-archon`, so the docs page no longer carries
+`api id:` annotations, and the curl/opencode/Pi examples send
+`frank-zealot`. The systemd services keep the old names. `docs.html`
+names the fleet trio once each; `homepage_config.bats` pins the card
+ids, which did not change.
+
+**Console polish (2026-10-08, eighth wave):** five fixes — octagon
+clip-paths replaced with `border-radius` (the clipped corners read as
+gaps in the 1px border); section-title diamonds moved from absolute
+positioning to a fixed-width inline glyph (aligned, wrap-safe); closed
+WIP items grey out (dim type, desaturated art, muted border via
+`:has(.badge.wip-closed)`); the Dragoon tagline is one spliced track
+(`sfx/dragoon-tagline.ogg` — loudnorm-matched, silence-trimmed, 350 ms
+beat; the two SC2 source oggs are trashed); privacy notes became
+**`<details>` disclosure chips** ("⚠ privacy note ▸") pinned to the
+bottom of each box (`margin-top:auto` in a flex-column panel/card) —
+collapsed by default, tap-to-expand, the touch-safe replacement for the
+unreachable hover tooltips. The panel click-to-open handler ignores
+`.svc-warn` taps so the chip never navigates. Same chips on the docs
+page (privacy + uncensored-model warnings). The API-access section was
+reblessed against the live Open WebUI 0.6 UI: steps now match the real
+Show/copy/rotate flow and `img/openwebui-api-keys.png` is a fresh
+screenshot (old shot trashed). The troubleshooting DNS bullet dropped
+its Pi-hole specifics — family members off the LAN cannot use
+house-DNS advice; the bullet now just says the names resolve on the
+home network.
+
+**Archon card runs the fleet's own model (2026-10-08):** the
+`frank-archon` homepage card and docs Model bullet now say the payload
+is our in-house GPTQ-w4 quant of Swift1.5-Qwen3.8-Flash-Next and link
+our HF publication (`frank8465/Swift-1.5-Qwen3.8-Flash-Next-GPTQ-W4A8-Radiance-AMD-R9700`)
+in place of the FP8-era base-model link; capacity line says three
+submissions (`--max-num-seqs 3`).
+
 ## Design decision — 2026-08-22

 The live up/down check runs server-side. A checker on Dankclaw probes each backend and writes a same-origin `status.json`. The page fetches only that file and renders the badges. The browser never calls a backend directly. The checker runs as a systemd timer every 3 minutes.
@@ -111,7 +316,7 @@ flowchart TD
 ## Service classification

 **User services** (root page), in section order:
- **AI** — OpenWebUI, and the three LLM fleet cards (frank-large, frank-medium, frank-small — status + docs link, no Open link).
+- **AI** — OpenWebUI, and the three LLM fleet cards (frank-large, frank-primary, frank-secondary — status + docs link, no Open link).
 - **Web Apps** — SearXNG, Gitea, Copyparty, Marreta.
 - **Media Library Apps** — Calibre-Web, RomM, Plex, Jellyfin, Seerr.

@@ -131,7 +336,10 @@ shared/homepage/
 ├── style.css         # full theme; a toggle strips to bare HTML
 ├── app.js            # loads status.json once, renders the panels
 ├── services.json     # service config (user + admin)
-└── fonts/            # Terminus (woff2) for @font-face
+├── img/              # served at /img: docs screenshots, unit portraits
+│   ├── apps/         #   (unit-*.jpg) and app card icons (apps/*.svg)
+├── sfx/              # StarCraft unit voice .ogg files served at /sfx
+└── fonts/            # optional self-hosted fonts (deployed with the page; VT323 comes from the Google Fonts CDN, this dir is absent)
 ```

 `status.json` is generated at runtime in `/srv/homepage/`. It is not committed.
@@ -158,6 +158,119 @@ The Porkbun zone `franksdank.cloud` carries an A record for every vhost plus the
 | HTTPS works from the host but not the WAN | No port forward on the G36 for that service (manual router step) |
 | Cert renewal fails in Caddy logs | Porkbun API credentials in the Dankclaw `.env`; test with the Porkbun API `/ping` endpoint |

+## Per-client fix: resolver drop-in + browser DoH bypass
+
+Symptom: a LAN machine gets `connection timeout` (curl rc=28) on
+`https://*.franksdank.cloud` while the server is healthy. Root cause: the
+public DNS hands out the WAN IP `71.227.227.172`, which has **no 443
+port-forward** (filtered). Any resolver that is NOT Pi-hole produces the WAN
+answer → SYN to a filtered port → timeout. There are TWO resolver layers to
+check, in order:
+
+**Layer 1 — systemd-resolved (fixes curl/shell).** A route-only drop-in
+sends `*.franksdank.cloud` ONLY to Pi-hole and never to the default-route
+servers:
+
+```bash
+dig +short www.franksdank.cloud @192.168.0.143   # expect 192.168.0.143
+dig +short www.franksdank.cloud @1.1.1.1         # expect 71.227.227.172 (the trap)
+getent hosts www.franksdank.cloud                # what the OS actually resolves
+curl -sk --resolve www.franksdank.cloud:443:192.168.0.143 \
+     https://www.franksdank.cloud/ -o /dev/null -w '%{http_code}\n'   # 200 = server fine
+
+sudo mkdir -p /etc/systemd/resolved.conf.d
+sudo tee /etc/systemd/resolved.conf.d/franksdank-lan.conf >/dev/null <<'EOF'
+[Resolve]
+DNS=192.168.0.143
+Domains=~franksdank.cloud ~franksdank.casa
+EOF
+sudo systemctl restart systemd-resolved && resolvectl flush-caches
+```
+
+The `~` (route-only) prefix is load-bearing: it routes only those domains to
+Pi-hole. Verify: `getent hosts www.franksdank.cloud` → `192.168.0.143`;
+`resolvectl status` shows `DNS Domain: ~franksdank.cloud ~franksdank.casa`.
+
+**Layer 2 — browser DoH (the bypass: "curl works, browser times out").** If
+Layer 1 is verified but the BROWSER still times out, the browser is doing
+its own DNS over HTTPS and never asks systemd-resolved — it queries the TRR
+provider (Cloudflare et al.) directly → WAN answer → timeout. Prove it:
+`curl -sk -m 6 https://71.227.227.172/` → rc=28 (the WAN answer is a dead
+end). Diagnosis details:
+
+- Firefox profile may be at the XDG path `~/.config/mozilla/firefox/`, NOT
+  `~/.mozilla/firefox/` — find it via the running process if the default
+  path is empty.
+- `grep network.trr. <profile>/prefs.js` — **no entries = shipped default,
+  and since Firefox 113 the shipped default is DoH ON.**
+
+Fix (surgical, keeps DoH for everything else): Firefox → Settings → Privacy
+& Security → **DNS over HTTPS** → "enabled for these domains" → **Add…** →
+`franksdank.cloud` (and `franksdank.casa`). The exception list = domains
+that do NOT use DoH; they fall back to the system resolver, which has the
+route-only drop-in. Or set DoH to **Off** entirely (coarser). Chrome:
+Settings → Privacy and security → Security → "Use secure DNS" → off, or
+"Use the same settings as your system". Do NOT hand-edit `prefs.js` while
+the browser is running — it holds prefs in memory and rewrites the file on
+exit, clobbering the edit.
+
+This is a per-client fix: every LAN client that must reach the homelab by
+name needs Pi-hole as its DNS (or the drop-in) AND a browser that does not
+bypass it with DoH. The server side needs no change. Verified on blankpad
+2026-09-21: the drop-in was present since 09-12, curl returned 200, and
+Firefox 155 with default (ON) DoH was the remaining hole.
+
+## Porkbun zone ops (franksdank.cloud)
+
+Operate the public DNS zone via the Porkbun API v3, run **on Dankclaw** so
+the API key/secret sourced from `/home/dank/serverAppConfigs/.env`
+(`PORKBUN_API_KEY`, `PORKBUN_API_SECRET_KEY`) never leaves the host. Pipe
+scripts to the target with `ssh -o BatchMode=yes dankclaw 'bash -s' <
+/tmp/script.sh`.
+
+Endpoints (all POST, JSON body):
+
+- List: `https://api.porkbun.com/api/json/v3/dns/retrieve/franksdank.cloud`
+  — auth via headers `X-API-Key` + `X-Secret-API-Key` (Bearer is wrong
+  here). Response shape is **top-level `.records[]`**, NOT
+  `.content.records[]` as some docs claim — parse with
+  `jq -r '.records[] | [.id,.name,.type,.content,(.ttl|tostring)] | @tsv'`.
+- Delete: `/dns/delete/{domain}/{id}` (body carries apikey+secretapikey).
+- Edit: `/dns/edit/{domain}/{id}` — pass the full record (`id`, `name`,
+  `type`, `content`, `ttl`, `prio`).
+
+Quirks that bite (verified live 2026-08-31):
+
+1. **`name` is a RELATIVE label on edit.** Passing `ai.franksdank.cloud`
+   yields the record `ai.franksdank.cloud.franksdank.cloud`. Pass the bare
+   label (`ai`) and the API appends the zone itself. Verify after every
+   rename with a retrieve before declaring done.
+2. **Rate limit answers as an HTML 404-style page, not JSON.** A batch of
+   rapid mutations makes some calls return `<!DOCTYPE html>...` where jq
+   then errors (`Cannot iterate over null` / `Invalid numeric literal`). Do
+   not assume the call succeeded — sleep ~8 s and retry the failed ids;
+   verify by re-listing the zone at the end.
+3. Deletes/renames are per-record-id: always retrieve first, map name→id,
+   then mutate by id.
+
+Rename procedure (vhost rename = DNS + Caddy together):
+
+1. `retrieve` → collect ids for the renamed names.
+2. `edit` each id with the new **relative** label, preserving
+   type/content/ttl.
+3. Re-retrieve and confirm `<new>.franksdank.cloud A <ip>`.
+4. In-repo lockstep before deploy: rename the Caddyfile vhost block AND the
+   Pi-hole `dankclaw/pihole/addn-hosts` line in the same commit — a test
+   fails the suite if any Caddyfile vhost lacks an addn-hosts A record on
+   192.168.0.143.
+5. Deploy via `scripts/deploy.sh dankclaw` (plans pihole+caddy from changed
+   paths). Capture the suite's true exit with
+   `out=$(./tests/run.sh 2>&1); rc=$?` — piping to `tail` masks the exit
+   code behind `tail`'s own status and has shipped untested commits here.
+6. Verify live: `dig +short <name> @192.168.0.143` then
+   `curl -o /dev/null -w %{http_code} https://<new-name>` (expect 200/302;
+   first hit triggers dns-01 issuance, which works without inbound port 80).
+
 ## See Also

 - [[Pi-hole]] — the LAN DNS server (quadlet, records, web UI)
@@ -0,0 +1,95 @@
+---
+type: reference
+title: Observability Provisioning
+description: How Prometheus config/rules and Grafana datasources/dashboards are provisioned as code in serverAppConfigs — the config triad, deploy copiers, planner mappings, seam tests, entry points for each change type, and API verification.
+tags: [observability, prometheus, grafana, provisioning, deployment]
+timestamp: 2026-10-05T00:00:00-07:00
+---
+
+# Observability Provisioning
+
+The monitoring stack is **provisioned as code**: dashboards, datasources,
+scrape jobs and alert rules live in the repo and ride the normal deploy flow.
+No hand-edits inside containers — they are wiped on recreate and never
+committed.
+
+## The config triad
+
+| Repo path | What it holds |
+|---|---|
+| `shared/prometheus/prometheus.yml` | scrape jobs (global + per-host) |
+| `shared/prometheus/rules/llm-fleet.yml` | alert rules + recording rules |
+| `shared/grafana/provisioning/` | datasources + dashboards (provisioned tree) |
+
+Targets and datasources reference **container names** (`loki:3100`,
+`alloy:12345`), never loopback-published ports; the LLM endpoints are reached
+by LAN IP (`192.168.0.143:7770`, `:7771`, `192.168.0.235:7770`) because they
+are host-netns services, not containers. Prometheus 3 refuses HTML responses
+as metrics — HTML-scraped "probes" are structurally inert and need a blackbox
+exporter (see [[Stale Signal Audit]]).
+
+## The deploy path
+
+`scripts/deploy-remote.sh` carries two copier functions:
+
+- `copy_prometheus_config` → `/opt/prometheus/config/` on the target
+- `copy_grafana_provisioning` → `/opt/grafana/provisioning/`
+
+`scripts/deploy-plan.py` maps changes under `shared/prometheus/**` and
+`shared/grafana/**` to the `prometheus`/`grafana` services, so
+`deploy.sh dankclaw --service grafana` (etc.) restarts only what the change
+touched. Seam tests in `tests/observability_quadlet.bats` pin: unit files
+exist, the copier functions exist, and the provisioned paths match the units'
+mounts.
+
+## Entry points
+
+**Add a scrape target** — edit `shared/prometheus/prometheus.yml`. Decide the
+vantage first: container name if the exporter is a container on the same
+netns; host LAN IP if it is a host process (LLM endpoints); a blackbox module
+if it is an HTTP probe, not a metrics endpoint.
+
+**Add an alert/recording rule** — edit `shared/prometheus/rules/llm-fleet.yml`.
+Current delivered set: 5 alert rules + 1 recording rule for the LLM fleet.
+Rules reload with the prometheus service.
+
+**Add a datasource** — drop a YAML file into
+`shared/grafana/provisioning/datasources/`. Point it at the container name of
+the backend (`http://prometheus:9090`), not loopback.
+
+**Add a dashboard** — drop the JSON into
+`shared/grafana/provisioning/dashboards/`. Provisioned dashboards live in
+unified storage, not (only) the SQLite table — grep the API, not the DB, when
+verifying (see the verify section of [[Fleet Audit and Posture]]).
+
+## Verify through the APIs, not the filesystem
+
+```bash
+# prometheus: rules and targets actually loaded
+curl -s http://127.0.0.1:9090/api/v1/rules | python3 -m json.tool | head
+curl -s "http://127.0.0.1:9090/api/v1/targets?state=active" | \
+  python3 -c "import json,sys; [print(t['labels'].get('job'), t['health'], (t['lastError'] or '')[:60]) for t in json.load(sys.stdin)['data']['activeTargets']]"
+# grafana: datasource + dashboard provisioned
+curl -s -u admin:<pw> http://127.0.0.1:3002/api/datasources | python3 -m json.tool | grep -E '"name"|"url"'
+```
+
+Health answers from a stale process and provisioned resources can hide in
+unified storage — a file existing on disk is not proof the running server
+loaded it. See [[Stale Signal Audit]] for the never-green-target decision
+table (refused = outage, 404/HTML = config defect).
+
+## Current delivered state (2026-09-17)
+
+Prometheus → Alertmanager (`dankclaw/observability/quadlet/alertmanager.container`,
+loopback `:9093`) → host-side Signal relay (`scripts/signal-relay.py`, user
+unit, `192.168.0.143:18093` — the LAN IP, the one bind a container can reach
+via `host.containers.internal`) → signal-cli. Some targets read down for
+structural reasons (HTML-scraped "probes", Gitea metrics off); the remedy is
+the blackbox exporter. See [[Observability]].
+
+## Related
+
+- [[Observability]] — stack topology and the alert delivery chain
+- [[Stale Signal Audit]] — classifying down targets before "fixing" them
+- [[Quadlet Lifecycle]] — the units that host these services
+- [[Deploy State Triage]] — how the planner selects these services
@@ -38,7 +38,7 @@ Authentik; post-auth the Caddy vhost routes straight to `prometheus:9090`) —
 | `node-dankserver` | `192.168.0.235:9100` | host metrics from [[Node-Exporter]] — a different machine, so the LAN address works |
 | `grafana`, `loki` | `grafana:3000`, `loki:3100` | container names on the `dankclaw_default` network; both serve real `/metrics` |
 | `frank-medium` | `192.168.0.235:7770` | the LLM fleet — `vllm:` series; a different machine, so the LAN address works |
-| `frank-large`, `frank-small` | `host.containers.internal:7770`, `:7771` | the LLM fleet — `llamacpp:` series; same-host net=host binds, so via the gateway |
+| `frank-large`, `frank-secondary` | `host.containers.internal:7770`, `:7771` | the LLM fleet — `llamacpp:` series; same-host net=host binds, so via the gateway |

 **Three jobs read down, and they are not outages** (audited 2026-09-16):

--- a/Show More
+++ b/Show More