feat(security): digest-pin every registry image on all three hosts (fleet law)

Closing the command-center security queue #70/#71/#72/#73/#74: rolling tags
let a rebuild move under a running service with nobody approving it, and
make a CVE audit ungradeable. 36 quadlet units across dankclaw, dankserver
and frankbook-pro now carry tag@sha256; localhost/* builds stay exempt
(their build is the pin). The pihole and copyparty pins pull the fixed
builds; valkey 9.1.2 (already running) and redis 7.4.11 are pinned in
place, vendor fixes TBD.

New gate tests/quadlet_image_pins.bats: no unpinned registry image, no
generator-rejected key anywhere. Three seams that pinned the old exact-tag
law (frankbook readarr, open_webui, seerr) now require tag AND digest -
strictly stronger. Quadlet Lifecycle docs: batch-abort law, entrypoint
flags-only law, pin law.

dankclaw/Caddyfile

@@ -162,6 +162,25 @@ marreta.franksdank.cloud {
 	}
 }
 
+# --- Open Notebook (guarded: Anubis → Authentik; notebook-proxy provider, internal_host caddy:8017) ---
+# The podcast generator. ONE upstream carries the whole app: the image's own
+# Next.js layer rewrites /api/* to the FastAPI beside it (INTERNAL_API_URL,
+# default http://localhost:5055 inside the container), so a browser on this
+# vhost never needs the API port. That is why scripts/open-notebook.env sets
+# API_URL to exactly this origin — left unset, the app auto-detects
+# `<host-you-opened>:5055`, and 5055 on this host belongs to seerr — and why
+# the published API port sits on loopback. App-level login
+# (OPEN_NOTEBOOK_PASSWORD) stays on behind the chain: two owners, edge identity
+# and the app's own session.
+# Dialled by published LAN port, not container name: open-notebook is a
+# rootless quadlet and this Caddy lives in root's storage, so root's DNS does
+# not see the container (the same reason marreta and SearXNG are dialled by IP).
+notebook.franksdank.cloud {
+	reverse_proxy anubis:8923 {
+		header_up X-Real-Ip {remote_host}
+	}
+}
+
 # --- Pi-hole (quadlet on slirp4netns; published 8083) ---
 pihole.franksdank.cloud {
 	basicauth {
@@ -420,6 +439,16 @@ http://:8017 {
 	handle @marreta {
 		reverse_proxy 192.168.0.143:8082
 	}
+
+	@notebook host notebook.franksdank.cloud
+	handle @notebook {
+		# Bare proxy, like ai.franksdank.cloud: the app's SSE answers
+		# (/api/search/ask, chat sessions) stream for minutes through this
+		# same listener with no flush or timeout tuning, so nothing here
+		# needs it — a read/write timeout on the route would be the thing
+		# that cuts them.
+		reverse_proxy 192.168.0.143:8502
+	}
 }
 
 # --- Optional: Jackett ---

dankclaw/authentik/quadlet/authentik-outpost.container

@@ -20,7 +20,7 @@ Wants=authentik-server.service
 
 [Container]
 ContainerName=authentik-outpost
-Image=ghcr.io/goauthentik/server:2026.8.3
+Image=ghcr.io/goauthentik/server:2026.8.3@sha256:ab9b4e8cc4ab3f8d1198d2db6aeea66bafea1963b3f2843589e0d163f97d9849
 Exec=worker
 Network=dankclaw_default
 EnvironmentFile=/home/dank/serverAppConfigs/dankclaw/.env

dankclaw/authentik/quadlet/authentik-postgres.container

@@ -14,7 +14,7 @@ After=network.target
 
 [Container]
 ContainerName=authentik-postgres
-Image=docker.io/library/postgres:16-alpine
+Image=docker.io/library/postgres:16-alpine@sha256:721873c34ceb9f8d8fc265984940dc982404c105f19ad51be9fdc5970a6080ea
 Network=dankclaw_default
 EnvironmentFile=/home/dank/serverAppConfigs/dankclaw/.env
 Environment=POSTGRES_DB=authentik

dankclaw/authentik/quadlet/authentik-server.container

@@ -19,7 +19,7 @@ Wants=authentik-postgres.service
 
 [Container]
 ContainerName=authentik-server
-Image=ghcr.io/goauthentik/server:2026.8.3
+Image=ghcr.io/goauthentik/server:2026.8.3@sha256:ab9b4e8cc4ab3f8d1198d2db6aeea66bafea1963b3f2843589e0d163f97d9849
 Exec=server
 Network=dankclaw_default
 EnvironmentFile=/home/dank/serverAppConfigs/dankclaw/.env

dankclaw/authentik/quadlet/authentik-worker.container

@@ -16,7 +16,7 @@ Wants=authentik-server.service
 
 [Container]
 ContainerName=authentik-worker
-Image=ghcr.io/goauthentik/server:2026.8.3
+Image=ghcr.io/goauthentik/server:2026.8.3@sha256:ab9b4e8cc4ab3f8d1198d2db6aeea66bafea1963b3f2843589e0d163f97d9849
 Exec=worker
 Network=dankclaw_default
 EnvironmentFile=/home/dank/serverAppConfigs/dankclaw/.env

dankclaw/gitea/quadlet/gitea-postgres.container

@@ -15,7 +15,7 @@ After=network.target
 [Container]
 ContainerName=gitea-postgres
 Network=gitea.network
-Image=docker.io/library/postgres:16-alpine
+Image=docker.io/library/postgres:16-alpine@sha256:721873c34ceb9f8d8fc265984940dc982404c105f19ad51be9fdc5970a6080ea
 EnvironmentFile=/home/dank/Containers/gitea/env
 Environment=POSTGRES_USER=gitea
 Environment=POSTGRES_PASSWORD=${GITEA_DB_PASSWORD}

dankclaw/gitea/quadlet/gitea-server.container

@@ -19,7 +19,7 @@ After=gitea-postgres.service network.target
 [Container]
 ContainerName=gitea-server
 Network=gitea.network
-Image=docker.io/gitea/gitea:latest
+Image=docker.io/gitea/gitea:latest@sha256:30777c91280d973fa02be48b1ade735bd6859e8f6f7af3b4444d519437852504
 EnvironmentFile=/home/dank/Containers/gitea/env
 Environment=DATABASE_TYPE=postgres
 Environment=DATABASE_HOST=gitea-postgres
@@ -29,6 +29,13 @@ Environment=DATABASE_PASSWD=${GITEA_DB_PASSWORD}
 Environment=DATABASE_PORT=5432
 Environment=USER_UID=1000
 Environment=USER_GID=1000
+# Prometheus scrapes /metrics over the published LAN port (job "gitea" in
+# shared/prometheus/prometheus.yml). Off, /metrics is a 404 and the target is
+# permanently red (the audit's "disabled metrics" class). 0.0.0.0 binds inside
+# the container; the only route in is this host's published 3000, and the
+# exposed surface is counters only — same posture as the LLM /metrics.
+Environment=GITEA__metrics__ENABLED=true
+Environment=GITEA__metrics__ENABLED_HOST=0.0.0.0
 PublishPort=0.0.0.0:3000:3000
 PublishPort=2222:22
 Volume=/home/dank/Containers/gitea/data:/data

dankclaw/host/halogen-fabric-clock

@@ -0,0 +1,65 @@
+#!/bin/sh
+# halogen-fabric-clock hold | release | status: the AMD GPU's fabric clock (FCLK), held at its top level.
+#
+# On Strix Halo the GPU and the NPU working at the same time can hang the machine, and corrupt the NPU's results,
+# while the GPU's fabric clock changes speed; held at its top level, the two run together cleanly. halogen-flash-server
+# with HALOGEN_NPU_MODELS refuses to start until the clock is held. This holds it: the performance level `manual` and
+# only the top pp_dpm_fclk level, on every amdgpu device that has the control (the GPU and SoC clocks stay automatic).
+# Cost: about 1 W at idle. Run as root; halogen-fabric-clock.service runs `hold` at every boot and after a resume.
+#
+#   hold     hold it (waits up to 60 s for the GPU driver to come up)
+#   release  give it back to the driver (the performance level `auto`)
+#   status   print each device's state; exit 0 when every device is held
+set -u
+SYS="${HALOGEN_SYSFS:-/sys}"
+
+devices() {
+  for d in "$SYS"/class/drm/card*/device; do
+    [ -w "$d/pp_dpm_fclk" ] || [ -r "$d/pp_dpm_fclk" ] || continue
+    [ -e "$d/power_dpm_force_performance_level" ] || continue
+    echo "$d"
+  done | sort -u
+}
+
+held() {   # held DEVICE_DIR: the performance level high, or manual with only the top fclk level selected
+  perf=$(cat "$1/power_dpm_force_performance_level" 2>/dev/null)
+  [ "$perf" = high ] && return 0
+  [ "$perf" = manual ] || return 1
+  top=$(grep . "$1/pp_dpm_fclk" | tail -n 1)
+  [ "$(grep -c '\*' "$1/pp_dpm_fclk")" = 1 ] && [ "${top%\*}" != "$top" ]
+}
+
+cmd="${1:-status}"
+case "$cmd" in
+  hold)
+    n=0
+    while [ -z "$(devices)" ] && [ "$n" -lt 60 ]; do sleep 1; n=$((n + 1)); done
+    [ -n "$(devices)" ] || { echo "halogen-fabric-clock: no amdgpu device with a fabric clock control (pp_dpm_fclk) under $SYS/class/drm" >&2; exit 1; }
+    rc=0
+    for d in $(devices); do
+      lvl=$(grep . "$d/pp_dpm_fclk" | tail -n 1 | cut -d: -f1)
+      # the driver applies the level several seconds after the write, so the read-back waits up to 30 s
+      ok=0
+      if echo manual > "$d/power_dpm_force_performance_level" && echo "$lvl" > "$d/pp_dpm_fclk"; then
+        t=0; until held "$d" || [ "$t" -ge 300 ]; do sleep 0.1; t=$((t + 1)); done
+        held "$d" && ok=1
+      fi
+      if [ "$ok" = 1 ]; then
+        echo "halogen-fabric-clock: $d: held at level $lvl ($(grep . "$d/pp_dpm_fclk" | tail -n 1 | awk '{print $2}'))"
+      else
+        echo "halogen-fabric-clock: $d: could not hold it (level $lvl)" >&2; rc=1
+      fi
+    done
+    exit "$rc" ;;
+  release)
+    for d in $(devices); do echo auto > "$d/power_dpm_force_performance_level" && echo "halogen-fabric-clock: $d: released (auto)"; done ;;
+  status)
+    [ -n "$(devices)" ] || { echo "halogen-fabric-clock: no amdgpu device with a fabric clock control"; exit 1; }
+    rc=0
+    for d in $(devices); do
+      if held "$d"; then echo "$d: held ($(cat "$d/power_dpm_force_performance_level"))"
+      else echo "$d: NOT held ($(cat "$d/power_dpm_force_performance_level"))"; rc=1; fi
+    done
+    exit "$rc" ;;
+  *) echo "usage: halogen-fabric-clock hold | release | status" >&2; exit 2 ;;
+esac

dankclaw/host/halogen-fabric-clock.service

@@ -0,0 +1,19 @@
+# Holds the AMD GPU's fabric clock at its top level at boot and after every resume, for halogen-flash-server with
+# the NPU (HALOGEN_NPU_MODELS): on Strix Halo the GPU and the NPU at once are safe only with that clock held.
+# Install (as root), from this directory:
+#   install -m 755 halogen-fabric-clock /usr/local/sbin/
+#   install -m 644 halogen-fabric-clock.service /etc/systemd/system/
+#   systemctl daemon-reload && systemctl enable --now halogen-fabric-clock.service
+# Check: halogen-fabric-clock status. Undo: systemctl disable halogen-fabric-clock.service, then
+#   halogen-fabric-clock release (or reboot). The unit runs once at boot and once after each resume (a resume can hand
+#   the clock back to the driver); it holds nothing open, so it shows inactive between runs.
+[Unit]
+Description=Hold the AMD GPU fabric clock at its top level (GPU and NPU together)
+After=systemd-modules-load.service suspend.target hibernate.target hybrid-sleep.target suspend-then-hibernate.target
+
+[Service]
+Type=oneshot
+ExecStart=/usr/local/sbin/halogen-fabric-clock hold
+
+[Install]
+WantedBy=multi-user.target suspend.target hibernate.target hybrid-sleep.target suspend-then-hibernate.target

dankclaw/marreta/quadlet/marreta-browser.container

@@ -23,7 +23,7 @@ After=gluetun.service network.target
 [Container]
 ContainerName=marreta_browser
 Network=gluetun.container
-Image=docker.io/lightpanda/browser:nightly
+Image=docker.io/lightpanda/browser:nightly@sha256:979c36ed869f1016b8dcf22939a0633c262f2c30e892a03a9f720eba2ff1931e
 
 [Service]
 TimeoutStartSec=300

dankclaw/marreta/quadlet/marreta.container

@@ -32,7 +32,7 @@ After=gluetun.service marreta-browser.service network.target
 [Container]
 ContainerName=marreta
 Network=gluetun.container
-Image=ghcr.io/manualdousuario/marreta:latest
+Image=ghcr.io/manualdousuario/marreta:latest@sha256:30f2a34567b79b66da794b4b9423751bbbcd07ceff600d9f6a2d219e7e439362
 # Relocate off SearXNG's 8080 inside the shared netns.
 Environment=NGINX_HTTP_PORT=8085
 Environment=APP_NAME=Marreta

dankclaw/observability/quadlet/alertmanager.container

@@ -33,7 +33,7 @@ Wants=network-online.target
 
 [Container]
 ContainerName=alertmanager
-Image=docker.io/prom/alertmanager:latest
+Image=docker.io/prom/alertmanager:latest@sha256:e9733bafb1bdef9b00e25a21f8f99dc26a22224bf16641ad754d1649f4c3357a
 Network=dankclaw_default
 User=0:0
 Exec=--config.file=/etc/alertmanager/alertmanager.yml --storage.path=/alertmanager

dankclaw/observability/quadlet/alloy.container

@@ -1,55 +1,51 @@
-# Quadlet unit: alloy (rootless, boot-persistent).
+# Quadlet unit: alloy (ROOT system service, boot-persistent).
 #
-# Install path on dankclaw: ~/.config/containers/systemd/alloy.container
-# Unit name: alloy.service (container name: alloy)
+# Install path on dankclaw: /etc/containers/systemd/alloy.container
+# Unit name: alloy.service (container name: alloy) — SYSTEM manager, root.
 #
-# Log shipper. This replaces the compose service of the same name in
-# dankclaw/compose.yaml ("Observability" block).
+# WHY ROOT (not rootless, unlike its observability siblings). Alloy reads the
+# host journal. The journal files are root:systemd-journal 0640 (other::---);
+# a rootless container carries no supplementary groups and cannot open them —
+# a rootless read of system.journal returns DENIED (see the Alloy page in the
+# vault). Running as root, one loki.source.journal reads system.journal AND
+# user-1000.journal, so it carries both host logs and the rootless Quadlet
+# containers' logs. Validated 2026-10-20: a root probe read 31,825 journal
+# lines and pushed 26,966 into Loki in 20 s, zero drops.
 #
-# IMAGE. franksdank/alloy is built locally by deploy-remote.sh
-# (build_compose_image) from dankclaw/alloy/Containerfile: upstream
-# grafana/alloy plus a static busybox for the healthcheck. Pull=never keeps a
-# boot from reaching for that local tag at a registry.
+# NETWORK=host. Loki publishes 127.0.0.1:3100 (loopback only) on the host, and
+# no bridge container — rootless or root — can reach the host's loopback, so
+# this unit runs on the host network and pushes to 127.0.0.1:3100. The side
+# effect: the UI must bind loopback too, so Exec sets the listen-addr to
+# 127.0.0.1 (the old rootless unit used 0.0.0.0 only because container loopback
+# was not host loopback; under Network=host they are the same address, so the
+# unauthenticated UI stays loopback-only — nothing off-host reaches it).
 #
-# NETWORK. It joins dankclaw_default so its config's loki.write endpoint
-# resolves the container name loki:3100.
+# THE /etc/machine-id MOUNT IS LOAD-BEARING. sd_journal locates the journal
+# directory by the local machine id; without it the container opens nothing and
+# the journal source reads exactly 0 lines — silently, no error, health green.
+# This mount is the entire reason the pipeline carries data. Never remove it.
 #
-# THE UI PORT EXISTS ON PURPOSE. Alloy's UI listens on the container's own
-# 127.0.0.1 by default and cannot be moved from the config file (alloy 1.x
-# refuses the ui block), so the compose service had no reachable health
-# endpoint at all: the homepage status card for alloy reported "down"
-# continuously and there was nothing for a deploy to wait on. The command
-# below therefore moves the UI to the container's wildcard address and the
-# port is published on host loopback only, which puts alloy in the same class
-# as the other three: reachable from the host, by Caddy over the private
-# network, and by nothing off-host. Alloy has no authentication, which is
-# exactly why it is not published wider.
-#
-# SOURCES. The host journald socket and the host log/container-storage trees
-# are bind-mounted read-only; Alloy tails them and pushes to Loki. The config
-# lives at /opt/alloy/config/config.alloy, installed from
-# shared/alloy/config.alloy on every deploy.
-#
-# ORDERING. Wants/After loki.service: without a reachable Loki, Alloy's write
-# client fails and its log pipeline backs up.
+# IMAGE. Built rootless by build_compose_image alloy, then mirrored into the
+# root image store by the deployer (a root build runs in the build container's
+# own resolver and fails on DNS here). Pull=never: boot must not reach for the
+# local tag at a registry.
 
 [Unit]
 Description=Alloy log shipper (Dankclaw)
-After=network-online.target loki.service
-Wants=network-online.target loki.service
+After=network-online.target
 
 [Container]
 ContainerName=alloy
 Image=localhost/franksdank/alloy:latest
 Pull=never
-Network=dankclaw_default
-Exec=run --server.http.listen-addr=0.0.0.0:12345 /etc/alloy/config.alloy
-PublishPort=127.0.0.1:12345:12345
-Volume=/opt/alloy/config:/etc/alloy
+Network=host
+Exec=run --server.http.listen-addr=127.0.0.1:12345 /etc/alloy/config.alloy
+Volume=/opt/alloy/config:/etc/alloy:ro
+Volume=/etc/machine-id:/etc/machine-id:ro
 Volume=/run/systemd/journal/socket:/run/systemd/journal/socket:ro
-Volume=/var/log:/var/log:ro
-Volume=/var/lib/containers:/var/lib/containers:ro
-HealthCmd=/usr/local/bin/busybox wget --spider -q http://localhost:12345/-/healthy
+Volume=/var/log/journal:/var/log/journal:ro
+Volume=/run/log/journal:/run/log/journal:ro
+HealthCmd=/usr/local/bin/busybox wget --spider -q http://127.0.0.1:12345/-/healthy
 HealthInterval=30s
 HealthTimeout=10s
 HealthRetries=3
@@ -60,4 +56,4 @@ Restart=always
 RestartSec=10
 
 [Install]
-WantedBy=default.target
+WantedBy=multi-user.target

dankclaw/observability/quadlet/blackbox-exporter.container

@@ -0,0 +1,56 @@
+# Quadlet unit: blackbox exporter (rootless, host network, boot-persistent).
+#
+# Install path on dankclaw:
+#   ~/.config/containers/systemd/blackbox-exporter.container
+#
+# WHY Network=host. The probes it runs are (a) the host's own LAN IP
+# (192.168.0.143:8081 SearXNG, :3005 OpenWebUI — host-process/portmap binds a
+# bridge container cannot reach; netavark DNATs published ports only, see
+# Container Host Reachability in the vault) and (b) ComfyUI's published port
+# via 127.0.0.1 (rootless --network=host shares the real host netns, so the
+# 0.0.0.0:8188 publish answers on loopback). A bridge-networked prober could
+# reach neither class reliably.
+#
+# WHY the listener binds 127.0.0.1 + LAN. A bridge container CANNOT dial
+# its own host's LAN IP (netavark hairpin gap, measured 2026-10-21), but a
+# bridge container dialing the podman gateway 169.254.1.2 lands on the host
+# LOOPBACK — that is the scrape path, and it needs this exporter to be
+# LISTENING ON LOOPBACK (proved: 200 from the prometheus container to
+# http://169.254.1.2:9115/-/healthy with a loopback bind). The gateway
+# address itself is NOT bindable from the host netns — it exists only
+# inside each rootless netns; binding it dies "bind: cannot assign
+# requested address" (live 2026-10-21). The LAN bind stays for diagnostics.
+# No public DNS name, no guard chain: internal net only, per the exposure
+# policy. The listen flag is --web.listen-address and it is REPEATABLE, one
+# flag per bind; plain --listen-address does not exist and the exporter
+# exits in 100 ms with "unknown long flag" (live 2026-10-21).
+
+[Unit]
+Description=Blackbox exporter (HTTP probe prober)
+After=network-online.target
+
+[Container]
+Image=docker.io/prom/blackbox-exporter@sha256:ea1c7aa3ef3f307cd03e85f34abb604478ccb90b567fc690da0cd9776da76b13
+ContainerName=blackbox-exporter
+Network=host
+# The image's ENTRYPOINT is /bin/blackbox_exporter itself (proved live
+# 2026-10-21: `podman run IMAGE sh` dies "unexpected sh"), so Exec= carries
+# FLAGS ONLY — repeating the binary makes it a positional arg and kingpin
+# exits "unexpected /bin/blackbox_exporter".
+Exec=--config.file=/etc/blackbox_exporter/config.yml --web.listen-address=127.0.0.1:9115 --web.listen-address=192.168.0.143:9115
+Volume=/opt/blackbox/blackbox.yml:/etc/blackbox_exporter/config.yml:ro
+# Plain exec form like every sibling unit. Shell form (`/bin/sh -c "…"`)
+# is passed as one quoted token and quadlet then folds the following
+# --health-interval/--health-retries (and the image name) into the command
+# string — unit died twice that way, live 2026-10-21. wget only; this
+# busybox variant has no curl, and host-network wget answers on loopback.
+HealthCmd=wget -q -O /dev/null http://127.0.0.1:9115/-/healthy
+HealthInterval=30s
+HealthRetries=3
+
+[Service]
+Restart=always
+RestartSec=5
+
+[Install]
+WantedBy=default.target

dankclaw/observability/quadlet/cadvisor.container

@@ -0,0 +1,56 @@
+# Quadlet unit: cadvisor (rootless, boot-persistent) — DANKCLAW.
+#
+# Install path on dankclaw: ~/.config/containers/systemd/cadvisor.container
+# Unit name: cadvisor.service (container name: cadvisor)
+#
+# WHY THIS EXISTS. The app stack is ~34 rootless Podman containers and until
+# now nothing reported per-container CPU/memory — Grafana could only see the
+# host (node_exporter) and the LLM engines. cadvisor reads the host cgroup
+# tree and exports container_cpu_* / container_memory_* per container.
+#
+# THE LOAD-BEARING FLAG IS --cgroupns=host. Podman starts every container in a
+# PRIVATE cgroup namespace, so an exporter container sees only its OWN cgroup
+# subtree: cadvisor exported a single root series until this flag was added,
+# then it walked the whole tree (996 per-container series measured 2026-10-20).
+# The quadlet unit name is carried in the cgroup path — app.slice/<name>.service/
+# libpod-payload-<hex> — so Prometheus relabels that path into a `container`
+# label (shared/prometheus/prometheus.yml, cadvisor-dankclaw job) and no
+# libpod/podman socket is needed to name containers.
+#
+# BINDING. cadvisor has no per-interface listen flag (unlike node_exporter's
+# --web.listen-address), so it binds 0.0.0.0 INSIDE its own network namespace.
+# The bridge PublishPort is what keeps the unauthenticated endpoint off the
+# host's other interfaces: it publishes exactly loopback (host-local probes and
+# the deployer's health gate) and this host's LAN address (Prometheus, a bridge
+# container, reaches a host-published port at its LAN address — the same netavark
+# rule node-exporter relies on, only here the port really is published).
+#
+# It is rootless on purpose: dank owns the app containers' cgroups, so a
+# rootless cadvisor reads every one of them; root would buy nothing here.
+
+[Unit]
+Description=cAdvisor container metrics (Dankclaw)
+After=network-online.target
+Wants=network-online.target
+
+[Container]
+ContainerName=cadvisor
+Image=gcr.io/cadvisor/cadvisor:v0.49.1@sha256:3cde6faf0791ebf7b41d6f8ae7145466fed712ea6f252c935294d2608b1af388
+PodmanArgs=--pid=host --cgroupns=host
+PublishPort=127.0.0.1:8080:8080
+PublishPort=192.168.0.143:8080:8080
+Volume=/sys:/sys:ro
+Volume=/:/rootfs:ro
+Exec=--housekeeping_interval=30s
+HealthCmd=wget --spider -q http://localhost:8080/healthz
+HealthInterval=30s
+HealthTimeout=10s
+HealthRetries=3
+HealthStartPeriod=40s
+
+[Service]
+Restart=always
+RestartSec=10
+
+[Install]
+WantedBy=default.target

dankclaw/observability/quadlet/grafana.container

@@ -34,7 +34,7 @@ Wants=network-online.target prometheus.service
 
 [Container]
 ContainerName=grafana
-Image=docker.io/grafana/grafana:latest
+Image=docker.io/grafana/grafana:latest@sha256:dbbc38ea21103cefb50396340cd88afec779c7e070b0a7bf5a75b4ce46651d3f
 Network=dankclaw_default
 User=0:0
 PublishPort=127.0.0.1:3002:3000
@@ -47,9 +47,24 @@ Environment=GF_AUTH_GENERIC_OAUTH_CLIENT_SECRET=${GRAFANA_OAUTH_CLIENT_SECRET}
 # client_id query parameter — /application/o/<slug>/authorize/ does not exist.
 Environment=GF_AUTH_GENERIC_OAUTH_AUTH_URL=https://auth.franksdank.cloud/application/o/authorize/
 Environment=GF_AUTH_GENERIC_OAUTH_TOKEN_URL=https://auth.franksdank.cloud/application/o/token/
-# ?api=1 = introspection-style userinfo: returns custom claims (groups) too.
-Environment=GF_AUTH_GENERIC_OAUTH_API_URL=https://auth.franksdank.cloud/application/o/userinfo/?api=1
-Environment=GF_AUTH_GENERIC_OAUTH_ALLOW_SIGN_UP=false
+# Standard OIDC userinfo. Grafana v13 fetches <api_url>/emails for the address
+# ONLY when the token carries no `email` claim (authentik has no /emails path and
+# 404s it, failing the login) — so the claim must actually be there: the fix is
+# the grafana-email-scope mapping (see scripts/authentik-grafana-sso-fix.sh),
+# not a Grafana flag. Do NOT append ?api=1 to this URL: Grafana then GETs
+# <...>/userinfo/?api=1/emails, a 403.
+Environment=GF_AUTH_GENERIC_OAUTH_API_URL=https://auth.franksdank.cloud/application/o/userinfo/
+# authentik's scopes are openid/email/profile. `user:email` (a GitLab-ism) is
+# not a known scope here; requesting it makes the authorize view crash.
+# Quoted: quadlet word-splits Environment=, so an unquoted spaced list
+# truncates SCOPES to its first token.
+Environment="GF_AUTH_GENERIC_OAUTH_SCOPES=openid email profile"
+Environment=GF_AUTH_GENERIC_OAUTH_EMAIL_ATTRIBUTE_PATH=email
+Environment=GF_AUTH_GENERIC_OAUTH_LOGIN_ATTRIBUTE_PATH=sub
+Environment=GF_AUTH_GENERIC_OAUTH_NAME_ATTRIBUTE_PATH=preferred_username
+# First SSO login auto-provisions the user. Safe: unauthenticated traffic never
+# reaches this callback — the Anubis -> Authentik guard fronts every request.
+Environment=GF_AUTH_GENERIC_OAUTH_ALLOW_SIGN_UP=true
 Environment=GF_AUTH_GENERIC_OAUTH_AUTO_UPSERT=true
 Environment=GF_AUTH_GENERIC_OAUTH_ALLOW_ASSIGN_ORG=true
 Environment=GF_AUTH_GENERIC_OAUTH_ORG_ID=1

dankclaw/observability/quadlet/node-exporter.container

@@ -33,7 +33,7 @@ Wants=network-online.target
 
 [Container]
 ContainerName=node-exporter
-Image=docker.io/prom/node-exporter:latest
+Image=docker.io/prom/node-exporter:latest@sha256:1b4e4438faca4dd7e001dd445d161a4a2091b0fededa84093b3a8dfeae1f1be0
 Network=host
 PodmanArgs=--pid=host
 Exec=--path.procfs=/host/proc --path.sysfs=/host/sys --path.rootfs=/rootfs --web.listen-address=127.0.0.1:9100 --web.listen-address=192.168.0.143:9100

dankclaw/observability/quadlet/prometheus.container

@@ -43,8 +43,16 @@ Wants=network-online.target
 
 [Container]
 ContainerName=prometheus
-Image=docker.io/prom/prometheus:latest
+Image=docker.io/prom/prometheus:latest@sha256:fa3302279710be2f21a8301ec17a8b4f2301fd829bd113839b3b6b02b6f191a2
 Network=dankclaw_default
+# Same-host scrape targets are dialed at host.containers.internal (the podman
+# gateway): a bridge container cannot dial its own host's LAN IP (netavark
+# hairpin gap, measured 2026-10-21), and traffic to the gateway lands on host
+# loopback / published ports (cadvisor/gpu jobs and the blackbox scrape all
+# ride it). The name resolves natively — NO HostAddr key: quadlet 5.7.0 calls
+# it unsupported and the WHOLE user quadlet batch then fails to generate,
+# silently orphaning every other unit (live 2026-10-21: prometheus.service
+# vanished while its container kept running as an orphan).
 User=0:0
 Exec=--config.file=/etc/prometheus/prometheus.yml --storage.tsdb.path=/prometheus --storage.tsdb.retention.time=30d --web.enable-lifecycle
 PublishPort=127.0.0.1:9090:9090

dankclaw/open-notebook/quadlet/open-notebook-surrealdb.container

@@ -48,13 +48,22 @@
 # without `podman unshare` — accepted for a datastore nobody edits by hand;
 # episode AUDIO is a host directory for the opposite reason (see the app unit).
 #
-# HEALTH. The base image is distroless: no shell, no curl, no wget, so no
-# CMD-SHELL probe and no wget/curl probe is possible here (same class of unit
-# as loki, whose probe had to move into the image). SurrealDB ships its own
-# probe instead — `surreal is-ready` connects to ws://localhost:8000 by default
-# and needs no credentials — verified against this digest: it prints `OK` and
-# exits 0 while the server is up. Argument-only HealthCmd, like every unit on
-# this host, because the quadlet generator splits it on spaces.
+# HEALTH. The base image is distroless — measured against this digest, not even
+# `ls` exists (`exec: "ls": executable file not found in $PATH`), so there is no
+# `/bin/sh`, no curl and no wget. SurrealDB ships its own probe instead:
+# `surreal is-ready` connects to ws://localhost:8000 by default, needs no
+# credentials, prints `OK` and exits 0 while the server is up.
+#
+# It must be handed over as a QUADLET-SIDE JSON ARRAY, not a bare command.
+# podman wraps a bare `HealthCmd` string as `CMD-SHELL` (measured on this host's
+# podman 5.7: `--health-cmd "/surreal is-ready"` stores
+# `{"Test":["CMD-SHELL","/surreal is-ready"]}`), and with no `/bin/sh` in the
+# image that probe fails in ~30 ms with empty output on every interval while the
+# database answers perfectly — which is exactly how this service's first deploy
+# died on 2026-10-19 (`did not become healthy in 90s`). The quoted array survives
+# the generator (`--health-cmd "[\"/surreal\",\"is-ready\"]"`) and stores
+# `["CMD","/surreal","is-ready"]`, which execs directly and goes healthy. Do not
+# "simplify" it back to a bare command.
 
 [Unit]
 Description=SurrealDB (open-notebook datastore)
@@ -70,7 +79,7 @@ EnvironmentFile=/home/dank/serverAppConfigs/scripts/open-notebook.env
 EnvironmentFile=/home/dank/Containers/open-notebook/env
 Exec=start --log info rocksdb:/mydata/mydatabase.db
 Volume=open-notebook-db:/mydata
-HealthCmd=/surreal is-ready
+HealthCmd=["/surreal","is-ready"]
 HealthInterval=30s
 HealthTimeout=10s
 HealthRetries=3

dankclaw/open-notebook/quadlet/open-notebook.container

@@ -33,17 +33,21 @@
 # and 5055 is exactly the port seerr already holds on this host
 # (`PublishPort=127.0.0.1:5055:5055`; `ss -ltn` on Dankclaw 2026-10-18 shows
 # 127.0.0.1:5055 taken). So the API leaves the container on host port 5056.
-# That forces one setting: the frontend auto-detects the API as
-# `<host-you-opened>:5055`, so API_URL in scripts/open-notebook.env must name
-# the remapped port explicitly, or the UI loads and every call fails. Both
-# ports are published on all interfaces because the consumer is a browser on
-# the LAN — the fleet's browser-facing services (open-webui, comfyui, gitea)
-# bind the same way, while loopback-only is reserved for services whose user
-# path is the guard chain. This service has NO vhost and no Caddy route: it is
-# internal-only until it is guarded, and its own password
-# (OPEN_NOTEBOOK_PASSWORD) is what stands in front of it. That password is not
-# decoration: with it unset the API answers everyone on the LAN, including the
-# unauthenticated episode-audio download.
+# Only 8502 is published on all interfaces, because it is the single upstream
+# the guard chain dials: notebook.franksdank.cloud → anubis → authentik →
+# http://:8017 → 192.168.0.143:8502 (dankclaw/Caddyfile), and this Caddy lives
+# in root's storage, so a published port is the only way it can reach a rootless
+# quadlet. The API needs no outward face at all — the image's own Next.js layer
+# rewrites /api/* to the FastAPI beside it, so one origin serves UI and API —
+# and the fleet's rule is that loopback-only is for services whose user path is
+# the guard chain, which this became on 2026-10-19; 5056 stays published on
+# loopback because the deployer's health gate dials it there. That is also why
+# API_URL in scripts/open-notebook.env names the vhost rather than a port: left
+# to itself the frontend auto-detects `<host-you-opened>:5055`, and the UI loads
+# while every call fails. OPEN_NOTEBOOK_PASSWORD is not made redundant by the
+# chain: it is what keeps the API honest for everything else on this host, and
+# with it unset the API answers anyone, including the unauthenticated
+# episode-audio download.
 #
 # VOLUMES. `/app/data` is a named volume: uploads, the LangGraph SQLite
 # checkpoints and the extraction caches the image keeps under it
@@ -81,7 +85,7 @@ Pull=never
 Network=dankclaw_default
 Network=open-notebook.network
 PublishPort=0.0.0.0:8502:8502
-PublishPort=0.0.0.0:5056:5055
+PublishPort=127.0.0.1:5056:5055
 EnvironmentFile=/home/dank/serverAppConfigs/scripts/open-notebook.env
 EnvironmentFile=/home/dank/Containers/open-notebook/env
 Volume=open-notebook-data:/app/data

dankclaw/open-webui/quadlet/open-webui.container

@@ -27,7 +27,7 @@ After=network.target
 [Container]
 ContainerName=open-webui
 Network=open-webui.network
-Image=ghcr.io/open-webui/open-webui:main
+Image=ghcr.io/open-webui/open-webui:main@sha256:4860ba005ae8f19f08d1e12b0868855b7b339ea0dad9927f196820fc0de04575
 PublishPort=3005:8080
 Environment=OPENAI_API_BASE_URL=http://192.168.0.143:7770
 Environment=ANONYMIZED_TELEMETRY=False

dankclaw/pihole/addn-hosts

@@ -45,3 +45,4 @@
 192.168.0.143 pihole.franksdank.cloud
 192.168.0.143 seerr.franksdank.cloud
 192.168.0.143 marreta.franksdank.cloud
+192.168.0.143 notebook.franksdank.cloud

dankclaw/pihole/quadlet/pihole.container

@@ -24,7 +24,7 @@ Wants=network-online.target
 
 [Container]
 ContainerName=pihole
-Image=docker.io/pihole/pihole:latest
+Image=docker.io/pihole/pihole:latest@sha256:d34134716fc32038b052a8674c7c6879e0ff21f0e6d8af345166fffa2c27c113
 Network=slirp4netns
 PublishPort=0.0.0.0:53:53/udp
 PublishPort=0.0.0.0:53:53/tcp

dankclaw/searxng/quadlet/gluetun.container

@@ -16,7 +16,7 @@ After=searxng-network.service network.target
 [Container]
 ContainerName=gluetun
 Network=searxng.network
-Image=docker.io/qmcgaw/gluetun:latest
+Image=docker.io/qmcgaw/gluetun:latest@sha256:c2ee4191762fca6b6a3c3359a731198a95d9c9af4db32d466e223bf3a84e779b
 AddCapability=NET_ADMIN
 AddDevice=/dev/net/tun:/dev/net/tun
 Environment=VPN_SERVICE_PROVIDER=${VPN_SERVICE_PROVIDER}

dankclaw/searxng/quadlet/searxng-valkey.container

@@ -16,7 +16,7 @@ After=searxng-network.service network.target
 ContainerName=searxng-valkey
 Network=searxng.network
 NetworkAlias=valkey
-Image=docker.io/valkey/valkey:9-alpine
+Image=docker.io/valkey/valkey:9-alpine@sha256:48332870af354a799964c0012ae1194a0bf2bf894eb508f945810596dc2d8d11
 Volume=/opt/searxng/valkey:/data
 
 [Service]

dankclaw/searxng/quadlet/searxng.container

@@ -16,7 +16,7 @@ After=gluetun.service searxng-valkey.service network.target
 [Container]
 ContainerName=searxng
 Network=gluetun.container
-Image=ghcr.io/searxng/searxng:latest
+Image=ghcr.io/searxng/searxng:latest@sha256:5ed0323b5f5f8701264ef65e239a2bd83cb57098f2b971fa30bf79c06eeae271
 Environment=SEARXNG_SECRET=${SEARXNG_SECRET}
 Environment=SEARXNG_BASE_URL=${SEARXNG_BASE_URL}
 Volume=/opt/searxng/config:/etc/searxng

dankclaw/seerr/quadlet/seerr.container

@@ -29,7 +29,7 @@ Wants=network-online.target
 
 [Container]
 ContainerName=seerr
-Image=ghcr.io/seerr-team/seerr:v3.4.1
+Image=ghcr.io/seerr-team/seerr:v3.4.1@sha256:f4768de5f616248d723e05891f3345a1402123775d03bf0890dbfedc0831bda1
 Network=dankclaw_default
 PublishPort=127.0.0.1:5055:5055
 Volume=/home/dank/Containers/seerr/data:/app/config

dankclaw/udev/98-halogen-npu-access.rules

@@ -0,0 +1,26 @@
+# /etc/udev/rules.d/98-halogen-npu-access.rules
+#
+# Why the NPU node is world-writable: `frank-dragoon` runs rootless podman under a
+# unit with `User=dank`, and the container's user namespace maps exactly one uid and
+# one gid (dank). `/dev/accel/accel0` is `root:render 0660`, so inside the container
+# the node reads `nobody:nogroup` and the engine dies with its own diagnosis:
+#
+#   halogen npu: /dev/accel/accel0 is here, but this process cannot open it
+#     (crw-rw---- nobody:nogroup).
+#
+# `--group-add keep-groups` is the vendor's advice and it does NOT work in this
+# shape: measured 2026-10-19 from the host as a `dank` shell that was already in
+# `render`, with and without the flag, the node still read `nobody:nogroup` and the
+# open was refused — an unmapped gid cannot be granted to a process inside a
+# namespace that does not map it. Same conclusion `99-comfyui-gpu-access.rules`
+# reached for `/dev/kfd` from the systemd-user-spawn direction: the mode is the only
+# spawn-context-independent door short of running the stack rootful.
+#
+# Blast radius: any process in this host's single uid domain (every rootless
+# container here shares it) can submit to the XDNA2 NPU. The NPU holds no user data
+# and no privileged context — the same trade already accepted for the GPU compute
+# nodes beside it. Installed by `deploy-remote.sh` when the NPU lane is armed and left
+# in place afterwards — the mode costs nothing while the lane is idle. `serve-frank-dragoon.sh`
+# refuses to arm the lane on a node that is not other-accessible, so a host that lost this
+# file fails loudly at boot instead of crash-looping.
+KERNEL=="accel[0-9]*", SUBSYSTEM=="accel", MODE="0666"

dankclaw/voiceservice/Containerfile.engine

@@ -19,11 +19,14 @@
 # is recorded in the parent tree, so cloning the parent commit recursively is
 # reproducible without a second pin.
 #
-# THE BUILD LINE IS THE ONE PROVEN ON DANKCLAW, verbatim:
+# THE BUILD LINE IS THE ONE PROVEN ON DANKCLAW, verbatim — with the Vulkan door
+# open since 2026-10-19. That configure was run in this exact base image and
+# answers `Found Vulkan: /usr/lib/x86_64-linux-gnu/libvulkan.so (found version
+# "1.3.275") found components: glslc` then `Including Vulkan backend`:
 #
 #   cmake -B build -DCMAKE_BUILD_TYPE=Release -DGGML_CCACHE=OFF \
 #       -DGGML_BACKEND_DL=OFF -DGGML_CPU_ALL_VARIANTS=OFF -DGGML_OPENMP=ON \
-#       -DGGML_BLAS=OFF -DGGML_CUDA=OFF -DGGML_HIP=OFF -DGGML_VULKAN=OFF \
+#       -DGGML_BLAS=OFF -DGGML_CUDA=OFF -DGGML_HIP=OFF -DGGML_VULKAN=ON \
 #       -DGGML_METAL=OFF -DGGML_SYCL=OFF -DGGML_RPC=OFF \
 #   && cmake --build build -j 8
 #
@@ -42,8 +45,12 @@
 #     defaults it ON outside wasm/cross-compiles, i.e. -march=native for THIS
 #     host — correct while build host == run host, wrong if anyone ever builds
 #     this image elsewhere, which is why the fleet builds it on Dankclaw.
-#   CUDA/HIP/VULKAN/METAL/SYCL/RPC all OFF: this is a CPU endpoint (the trial
-#     ran on CPU; the box's GPUs belong to the text endpoints).
+#   CUDA/HIP/METAL/SYCL/RPC stay OFF, VULKAN is ON: the endpoint computes on the
+#     gfx1151 iGPU (decision and co-tenancy gates:
+#     report/tts-npu-spike-verdict-2026-10-19.md, shape in [[Frank TTS Engine]]).
+#     Nothing else is available to this image: no ROCm userland, no NVIDIA
+#     userland, no macOS, no oneAPI, and RPC would add a second process to
+#     supervise on a box that already has one engine per card.
 #
 # BUILD SHARED LIBS, RUNTIME SMALL. BUILD_SHARED_LIBS defaults ON on Linux, so
 # tts-server links libggml*.so rather than swallowing them; the runtime stage
@@ -67,9 +74,28 @@ ARG BASE_IMAGE=docker.io/library/ubuntu:24.04@sha256:68ee22004a9109b44973313b02f
 # ------------------------------------------------------------------ build
 FROM ${BASE_IMAGE} AS build
 
+# The three Vulkan build deps are not optional and not interchangeable:
+#   libvulkan-dev    vulkan/vulkan.h + the VulkanHeaders/VulkanLoader CMake
+#                    configs, i.e. what find_package(Vulkan) resolves to.
+#   glslc            ggml compiles its shaders with glslc, not glslangValidator.
+#                    Ubuntu's glslang-tools ships glslangValidator and NOT glslc,
+#                    so without this package `find_package(Vulkan COMPONENTS
+#                    glslc REQUIRED)` fails and there is no Vulkan backend.
+#                    The archive's glslc is old (2023.8): it compiles
+#                    GL_KHR_cooperative_matrix — the path ggml's quantized
+#                    matmul needs — but reports cooperative_matrix2,
+#                    integer_dot_product, bfloat16 and the micro-float
+#                    extensions as unsupported, so those shader families are
+#                    compiled out. If a Vulkan prefill ever reads as
+#                    inexplicably slow, suspect this compiler before the device;
+#                    the fix is a pinned glslang build passed as
+#                    -DVulkan_GLSLC_EXECUTABLE=<path>, not a different runtime.
+#   spirv-headers    find_package(SPIRV-Headers CONFIG REQUIRED); the distro
+#                    package ships /usr/share/cmake/SPIRV-Headers/.
 RUN apt-get update -qq \
     && apt-get install -y -qq --no-install-recommends \
         ca-certificates cmake g++ git make \
+        libvulkan-dev glslc spirv-headers \
     && rm -rf /var/lib/apt/lists/*
 
 # Checked out detached at a full SHA, then the recorded submodule. No branch
@@ -90,7 +116,7 @@ RUN cmake -B build -DCMAKE_BUILD_TYPE=Release \
         -DGGML_BLAS=OFF \
         -DGGML_CUDA=OFF \
         -DGGML_HIP=OFF \
-        -DGGML_VULKAN=OFF \
+        -DGGML_VULKAN=ON \
         -DGGML_METAL=OFF \
         -DGGML_SYCL=OFF \
         -DGGML_RPC=OFF \
@@ -102,9 +128,21 @@ FROM ${BASE_IMAGE}
 # libgomp1: the OpenMP runtime the build above links against. curl: the unit's
 # HealthCmd. ca-certificates: so that curl can speak https if anyone ever
 # points a probe at a URL with a scheme this host terminates elsewhere.
+#
+# libvulkan1 + mesa-vulkan-drivers are what make `--device Vulkan0` mean
+# anything at runtime: libvulkan1 is the loader libggml-vulkan.so dlopens, and
+# mesa-vulkan-drivers is the RADV ICD that claims the gfx1151. Loader without an
+# ICD enumerates ZERO devices, and tts-server then dies in device lookup AFTER
+# both GGUFs have been read — the journal reads as a model fault, not a missing
+# driver. Enumerated from this base on 2026-10-19 with `--device /dev/dri
+# --group-add keep-groups` plus the host's ComfyUI udev rule: "Radeon 8060S
+# Graphics (RADV GFX1151)", API 1.4.318 (the heap figure is owned by
+# [[Frank TTS Engine]]; it is the GTT-backed aperture, not the ~2 GiB DRM
+# carve-out). No NVIDIA ICD is installed on purpose: one Vulkan device in the
+# enumeration is what makes the NAME Vulkan0 safe to write down.
 RUN apt-get update -qq \
     && apt-get install -y -qq --no-install-recommends \
-        ca-certificates curl libgomp1 \
+        ca-certificates curl libgomp1 libvulkan1 mesa-vulkan-drivers \
     && rm -rf /var/lib/apt/lists/*
 
 # Same unprivileged uid as the frank-tts façade (10000): the voice packs and the

dankclaw/voiceservice/quadlet/frank-tts-engine.container

@@ -40,12 +40,28 @@
 # speaks to the server from inside its own namespace, which is where the address
 # is valid.
 #
-# MEMORY / NO GPU. Peak RSS measured 5.7 GiB with both GGUFs resident
-# (2026-10-18 trial); no memory limit is set because the box has the room and a
-# limit would convert a busy moment into an OOM kill mid-utterance. No
-# /dev/kfd, no /dev/dri, no keep-groups: every GPU backend is compiled out of
-# the image, the endpoint is CPU-only by decision, and the GPUs on this host
-# belong to the text endpoints.
+# MEMORY / THE RENDER NODE. Host RSS is ~1.7 GiB, not the size of the GGUFs:
+# the Vulkan backend copies both tensors into device memory at load, so they
+# stop counting in the process's RSS (measured after the 2026-10-19 cutover —
+# `podman stats` / `ps -o rss`). No memory limit is set: the box has the room
+# and a limit would convert a busy moment into an OOM kill mid-utterance.
+#
+# `AddDevice=/dev/dri` is what makes the iGPU visible; without it the Vulkan
+# ICD enumerates nothing and the server dies on device lookup after it has
+# already read both GGUFs. `GroupAdd=keep-groups` is belt-and-braces, not the
+# thing that works here: the units podman spawns carry no supplementary groups
+# at all, and this host grants render access a different way — the udev rule
+# that makes the render nodes world-writable (same rule ComfyUI rides, see
+# dankclaw/comfyui). Measured: `id` inside this container lists only the
+# container's own group, and `tts-server` still holds renderD129.
+# The node is NOT named: this host is hybrid, renderD128 is the NVIDIA card and
+# renderD129 the amdgpu iGPU, so a node number in the unit is a guess that a
+# re-probe can invalidate, while the directory hands the container every render
+# node and the driver picks by name.
+#
+# /dev/kfd stays absent on purpose: that is the ROCm compute interface, owned by
+# the engines that use HIP. A Vulkan endpoint has no use for it, and handing a
+# container a second way onto the GPU is surface for nothing.
 #
 # THE VOICE MOUNT IS READ-ONLY AND IS FOR THE WARMER, NOT THE ENGINE. A voice
 # becomes known to the engine only through POST /v1/audio/voices, and the
@@ -98,6 +114,9 @@ Network=frank-tts-engine.network
 EnvironmentFile=/home/dank/serverAppConfigs/scripts/frank-tts-engine.env
 Volume=/home/dank/models/Qwen3-TTS-GGUF:/models:ro
 Volume=/home/dank/voices:/voices:ro
+# Render access for the iGPU (see MEMORY / THE RENDER NODE above).
+AddDevice=/dev/dri
+GroupAdd=keep-groups
 HealthCmd=curl -fsS http://127.0.0.1:8880/health
 HealthInterval=30s
 HealthTimeout=10s

dankclaw/voiceservice/tts-engine-start.sh

@@ -7,7 +7,7 @@
 # supervision, no retries, no logging of its own. PID 1 stays the server, so
 # `podman stop` and the unit's Restart=always drive it directly.
 #
-# THE FLAGS THAT ARE NOT HERE, and must stay absent:
+# THE FLAG THAT MUST STAY ABSENT:
 #
 #   --threads / -t   does not exist in this build. src/backend.h computes the
 #                    CPU thread count as std::thread::hardware_concurrency()/2
@@ -18,13 +18,19 @@
 #                    placement — pinning is deliberately not done anywhere in
 #                    this stack. See the env file header for the same warning
 #                    aimed at the operator.
-#   --device         left at its default. Every GPU backend is compiled out of
-#                    the image, so the default device pick can only land on
-#                    CPU; naming a device would add a way to be wrong.
 #
-# Everything defaults to the shape the 2026-10-18 trial measured, so an empty
-# environment still boots the decided configuration: 1.7 B talker Q4_K_M with
-# the Q8_0 tokenizer, one request at a time, on the private bridge.
+# --device IS here, but conditionally: it reaches the binary only when
+# QWENTTS_DEVICE is non-empty, and empty is the CPU rollback — the binary then
+# takes its own default device, which is CPU because the CPU backend is always
+# built. One line in scripts/frank-tts-engine.env moves the endpoint between the
+# two shapes, with no rebuild. What must never reach argv is a device NAME the
+# loader does not enumerate: that is not refused by the argument parser, it dies
+# during device lookup with the loader's own error, so the journal reads as a
+# load that failed rather than a configuration refusal.
+#
+# Everything defaults to the shape this endpoint runs: 1.7 B talker Q4_K_M with
+# the Q8_0 tokenizer, one request at a time, on the private bridge, on the
+# gfx1151 iGPU. An empty environment still boots that shape.
 set -euo pipefail
 
 # The binary path. Overridable for one reason: the bats seam runs a stub
@@ -60,13 +66,33 @@ set -euo pipefail
 : "${QWENTTS_LANG:=auto}"
 
 # One request at a time. The server-side queue is a serialised FIFO at this
-# setting, which is what keeps the measured per-voice timings true; batching
-# on a CPU build splits the same cores between two syntheses and the warm RTF
-# margin (0.55-0.67 against real time 1.0) disappears. The engine's own
-# default is also 1; it is written here because it is a decision, not an
-# accident.
+# setting, which is what keeps the per-voice timings predictable. A second
+# concurrent synthesis shares the device with the first — and on this box that
+# device is also carrying frank-dragoon — so it buys no throughput and it
+# doubles the wait for the caller behind it. The engine's own default is also 1;
+# written here because it is a decision, not an accident.
 : "${QWENTTS_MAX_BATCH:=1}"
 
+# The compute device, NAMED and not numbered: `Vulkan0` is how ggml enumerates
+# the gfx1151 iGPU on this host. An index would follow whatever order the
+# loader's device list returns; a name says which device this endpoint means.
+# The container sees exactly one Vulkan device because the image carries the
+# Mesa ICD and no NVIDIA one, so the 3090 is not in the enumeration at all.
+#
+# EMPTY IS THE CPU ROLLBACK: a value that is set but EMPTY passes no `--device`,
+# the binary picks its own default, and the CPU backend is always built — which
+# is why moving this endpoint between the iGPU and the CPU is one line in
+# scripts/frank-tts-engine.env and not a rebuild.
+#
+# That is also why the default below is NOT `${QWENTTS_DEVICE:=Vulkan0}`: `:=`
+# fires on a set-but-empty variable as well as an unset one, so the rollback line
+# `QWENTTS_DEVICE=` would be rewritten back to Vulkan0 and the endpoint would sit
+# on the shared GPU with no way out short of a rebuild. Only UNSET takes the
+# default.
+if [[ ! -v QWENTTS_DEVICE ]]; then
+    QWENTTS_DEVICE=Vulkan0
+fi
+
 # Fail loudly BEFORE binding, so the journal says which artifact is missing
 # instead of the unit reporting a container that starts and dies. This is the
 # self-healing path: Restart=always re-runs it every RestartSec, and the same
@@ -79,11 +105,20 @@ for artifact in "$QWENTTS_MODEL" "$QWENTTS_CODEC"; do
     fi
 done
 
-exec "$QWENTTS_BIN" \
-    --model "$QWENTTS_MODEL" \
-    --codec "$QWENTTS_CODEC" \
-    --alias "$QWENTTS_ALIAS" \
-    --host "$QWENTTS_HOST" \
-    --port "$QWENTTS_PORT" \
-    --lang "$QWENTTS_LANG" \
+ARGS=(
+    --model "$QWENTTS_MODEL"
+    --codec "$QWENTTS_CODEC"
+    --alias "$QWENTTS_ALIAS"
+    --host "$QWENTTS_HOST"
+    --port "$QWENTTS_PORT"
+    --lang "$QWENTTS_LANG"
     --max-batch "$QWENTTS_MAX_BATCH"
+)
+
+# Only when a device is named. An empty QWENTTS_DEVICE has to produce NO flag,
+# because "the rollback shape" is argv identical to the pre-iGPU endpoint.
+if [[ -n "$QWENTTS_DEVICE" ]]; then
+    ARGS+=(--device "$QWENTTS_DEVICE")
+fi
+
+exec "$QWENTTS_BIN" "${ARGS[@]}"

dankserver/calibre-server/quadlet/calibre-server.container

@@ -43,7 +43,7 @@ After=network.target
 
 [Container]
 ContainerName=calibre-server
-Image=lscr.io/linuxserver/calibre:9.15.0
+Image=lscr.io/linuxserver/calibre:9.15.0@sha256:59e4b0e036e62f228f8bcfae1ade42f47047719885fe454ddbad38e4597b987b
 Network=pasta
 EnvironmentFile=/home/dank/Containers/calibre-server/env
 Environment=PUID=1000

dankserver/calibre-web/quadlet/calibre-web.container

@@ -16,7 +16,7 @@ After=network.target
 
 [Container]
 ContainerName=calibre-web
-Image=lscr.io/linuxserver/calibre-web:0.6.27-ls402
+Image=lscr.io/linuxserver/calibre-web:0.6.27-ls402@sha256:802729966faed5e32d671cd4f92ba6196e9e754a6c0f740ce1ee9acd86b10e55
 Network=pasta
 Environment=DOCKER_MODS=linuxserver/mods:universal-calibre
 Environment=LANG=en_US.UTF-8

dankserver/copyparty/quadlet/copyparty.container

@@ -21,7 +21,13 @@ After=network.target
 
 [Container]
 ContainerName=copyparty
-Image=ghcr.io/9001/copyparty-ac:latest
+# Digest-pinned: upstream stopped publishing version tags after 1.19.15, so
+# the pin rides :latest@digest (the tag in the reference is cosmetic; the
+# digest is the pull). Pinned 2026-10-21 at the build whose label is
+# 1.20.26 - closes GHSA-3c88-p299-7hvr (1.20.25) and GHSA-hg99-jqfp-rf76
+# (1.20.26); the previously running build was the rolling :latest at
+# 1.20.24 (issue #73 on command-center).
+Image=ghcr.io/9001/copyparty-ac:latest@sha256:7f77459160a4bf34fdca79f2965dff4f0c1d7069a3d9cdfb3632acb041dd2f6a
 Network=dankserver_appnet
 EnvironmentFile=/home/dank/Containers/copyparty/env
 Exec=-a ${COPAY_ACCOUNT}:${COPAY_PASSWORD} -v /w::r:ra,dank

dankserver/jellyfin/quadlet/jellyfin.container

@@ -16,7 +16,7 @@ After=network.target
 
 [Container]
 ContainerName=jellyfin
-Image=ghcr.io/jellyfin/jellyfin:latest
+Image=ghcr.io/jellyfin/jellyfin:latest@sha256:c3efa69a22f2691fc88d6bb035e87a8560e395a6047f062fb381c61c3185e8f5
 Network=dankserver_appnet
 Environment=DEBIAN_FRONTEND=noninteractive
 Environment=DOTNET_SYSTEM_IO_DISABLEFILELOCKING=true

dankserver/observability/quadlet/cadvisor.container

@@ -0,0 +1,39 @@
+# Quadlet unit: cadvisor (rootless, boot-persistent) — DANKSERVER.
+#
+# Install path on dankserver: ~/.config/containers/systemd/cadvisor.container
+# Unit name: cadvisor.service (container name: cadvisor)
+#
+# The Dankserver twin of dankclaw/observability/quadlet/cadvisor.container.
+# Same rootless shape, same --cgroupns=host requirement (see that file for the
+# full story), only the LAN address differs: this host publishes on
+# 192.168.0.235:8080 so Prometheus on Dankclaw can scrape it over the real
+# network (cross-host, so the host.containers.internal trick does not apply).
+# It reports the media/library stack (romm, plex, jellyfin, copyparty, calibre,
+# tautulli) by their quadlet unit names via the cgroup path.
+
+[Unit]
+Description=cAdvisor container metrics (Dankserver)
+After=network-online.target
+Wants=network-online.target
+
+[Container]
+ContainerName=cadvisor
+Image=gcr.io/cadvisor/cadvisor:v0.49.1@sha256:3cde6faf0791ebf7b41d6f8ae7145466fed712ea6f252c935294d2608b1af388
+PodmanArgs=--pid=host --cgroupns=host
+PublishPort=127.0.0.1:8080:8080
+PublishPort=192.168.0.235:8080:8080
+Volume=/sys:/sys:ro
+Volume=/:/rootfs:ro
+Exec=--housekeeping_interval=30s
+HealthCmd=wget --spider -q http://localhost:8080/healthz
+HealthInterval=30s
+HealthTimeout=10s
+HealthRetries=3
+HealthStartPeriod=40s
+
+[Service]
+Restart=always
+RestartSec=10
+
+[Install]
+WantedBy=default.target

dankserver/observability/quadlet/node-exporter.container

@@ -37,7 +37,7 @@ Wants=network-online.target
 
 [Container]
 ContainerName=node-exporter
-Image=docker.io/prom/node-exporter:latest
+Image=docker.io/prom/node-exporter:latest@sha256:1b4e4438faca4dd7e001dd445d161a4a2091b0fededa84093b3a8dfeae1f1be0
 Network=host
 PodmanArgs=--pid=host
 Exec=--path.procfs=/host/proc --path.sysfs=/host/sys --path.rootfs=/rootfs --web.listen-address=127.0.0.1:9100 --web.listen-address=192.168.0.235:9100

dankserver/plex/quadlet/plex.container

@@ -4,7 +4,7 @@ After=network-online.target
 Wants=network-online.target
 
 [Container]
-Image=lscr.io/linuxserver/plex:1.43.4.10903-e5521bd8c-ls325
+Image=lscr.io/linuxserver/plex:1.43.5.11029-6bf8af3f0-ls329@sha256:8f655bad7dcbc5398a78f70a5af12600b4ed3424f901566ed1eaa6710e9e2334
 ContainerName=plex
 Network=dankserver_appnet:alias=plex
 Environment=PUID=0

dankserver/romm/quadlet/romm-mariadb.container

@@ -14,7 +14,7 @@ After=network.target
 
 [Container]
 ContainerName=romm-mariadb
-Image=docker.io/library/mariadb:11
+Image=docker.io/library/mariadb:11@sha256:f16d7a344413e519dff518f27bdb221388f84b0d274c97c4fb5f2cb0dc1b34fa
 Network=dankserver_appnet:alias=mariadb
 EnvironmentFile=/home/dank/Containers/romm/env
 Environment=MARIADB_DATABASE=romm

dankserver/romm/quadlet/romm-redis.container

@@ -12,7 +12,7 @@ After=network.target
 
 [Container]
 ContainerName=romm-redis
-Image=docker.io/library/redis:7-alpine
+Image=docker.io/library/redis:7-alpine@sha256:858f009f9709ce576febc734aa78b8f6d624b82571f9ddb6bda4377c833b3499
 Network=dankserver_appnet:alias=redis
 Volume=/home/dank/Containers/romm/redis:/data
 HealthCmd=redis-cli ping

dankserver/romm/quadlet/romm.container

@@ -18,7 +18,7 @@ After=romm-mariadb.service romm-redis.service network.target
 
 [Container]
 ContainerName=romm
-Image=ghcr.io/rommapp/romm:latest
+Image=ghcr.io/rommapp/romm:latest@sha256:03295f95a6290e752641f9553ac4198b0e5b71b879d57f7b2371b98f608feb54
 Network=dankserver_appnet
 EnvironmentFile=/home/dank/Containers/romm/env
 Environment=DB_HOST=mariadb

dankserver/tautulli/quadlet/tautulli.container

@@ -4,7 +4,7 @@ After=network-online.target
 Wants=network-online.target
 
 [Container]
-Image=lscr.io/linuxserver/tautulli:v2.18.1-ls245
+Image=lscr.io/linuxserver/tautulli:v2.18.1-ls245@sha256:c66d3afa8f7a701a48dd1b1f57b22eca0483d895d670fe11ecff783f6a9bbd73
 ContainerName=tautulli
 Network=dankserver_appnet:alias=tautulli
 Environment=PUID=0

frankbook-pro/gluetun/quadlet/gluetun.container

@@ -19,7 +19,7 @@ Description=Gluetun VPN tunnel (FrankBook-Pro podman machine)
 
 [Container]
 ContainerName=gluetun
-Image=docker.io/qmcgaw/gluetun:latest
+Image=docker.io/qmcgaw/gluetun:latest@sha256:c2ee4191762fca6b6a3c3359a731198a95d9c9af4db32d466e223bf3a84e779b
 AddCapability=NET_ADMIN
 AddDevice=/dev/net/tun:/dev/net/tun
 Environment=VPN_SERVICE_PROVIDER=${VPN_SERVICE_PROVIDER}

frankbook-pro/lidarr/quadlet/lidarr.container

@@ -15,7 +15,7 @@ After=gluetun.service
 
 [Container]
 ContainerName=lidarr
-Image=lscr.io/linuxserver/lidarr:latest
+Image=lscr.io/linuxserver/lidarr:latest@sha256:d8549ff9ea29b4015c32257360652c1000c31ea471a2b3f0835ae77292faf35b
 Environment=PUID=0
 Environment=PGID=0
 Environment=TZ=America/Los_Angeles

frankbook-pro/prowlarr/quadlet/prowlarr.container

@@ -24,7 +24,7 @@ After=gluetun.service
 
 [Container]
 ContainerName=prowlarr
-Image=lscr.io/linuxserver/prowlarr:latest
+Image=lscr.io/linuxserver/prowlarr:latest@sha256:b3b00047ed20f6ce2b16780145cb6a0acb51c9e28ea6aa6f5dcd33c7034f1797
 Environment=PUID=0
 Environment=PGID=0
 Environment=TZ=America/Los_Angeles

frankbook-pro/qbittorrent/quadlet/qbittorrent.container

@@ -29,7 +29,7 @@ Network=gluetun.container
 # Pinned to the last 4.x line: Readarr's retired qB client requires the
 # qB 4.x login response (HTTP 200, body "Ok."); qB 5.x answers 204 with an
 # empty body, which fails Readarr's auth check. All other clients accept 4.x.
-Image=lscr.io/linuxserver/qbittorrent:4.6.7
+Image=lscr.io/linuxserver/qbittorrent:4.6.7@sha256:55f15d44396315551f87294a176efae733b16e283f38980308e46073950257c6
 Environment=PUID=0
 Environment=PGID=0
 Environment=TZ=America/Los_Angeles

frankbook-pro/radarr/quadlet/radarr.container

@@ -15,7 +15,7 @@ After=gluetun.service
 
 [Container]
 ContainerName=radarr
-Image=lscr.io/linuxserver/radarr:latest
+Image=lscr.io/linuxserver/radarr:latest@sha256:fc0ae3c50f8128b97e84381903ec8d6845c3a569641cb7117c124376cccb57c1
 Environment=PUID=0
 Environment=PGID=0
 Environment=TZ=America/Los_Angeles

frankbook-pro/readarr/quadlet/readarr.container

@@ -19,7 +19,7 @@ After=gluetun.service
 
 [Container]
 ContainerName=readarr
-Image=lscr.io/linuxserver/readarr:amd64-1.0.980
+Image=lscr.io/linuxserver/readarr:amd64-1.0.980@sha256:a95e82dbb0eb2bb43de4c150f1dab9dd821306c67ea0b418983a957e731f2b61
 Environment=PUID=0
 Environment=PGID=0
 Environment=TZ=America/Los_Angeles

frankbook-pro/sonarr/quadlet/sonarr.container

@@ -16,7 +16,7 @@ After=gluetun.service
 
 [Container]
 ContainerName=sonarr
-Image=lscr.io/linuxserver/sonarr:latest
+Image=lscr.io/linuxserver/sonarr:latest@sha256:889dcc58c6aea859033985894b519b2e6b1e55d92527ed123f9f52e42ae7c97b
 Environment=PUID=0
 Environment=PGID=0
 Environment=TZ=America/Los_Angeles

report/npu-tts-runtime-landscape-2026-10-19.md

@@ -0,0 +1,319 @@
+# XDNA2 NPU inference runtimes on Linux (Strix Halo) — can any of them serve TTS?
+
+Research slice, 2026-10-19. Worker: `NpuRuntimeLandscape`. Research only, no code.
+Question: every way to execute model inference on an AMD XDNA2 NPU on Linux as of
+2026-10, and whether any of them can serve a speech-synthesis model.
+
+> **Status, same night — the spike that followed this slice settled it.** NO-GO on the
+> NPU (the loader declines the graph, not the silicon); the actionable door is the gfx1151
+> iGPU behind `-DGGML_VULKAN=ON`. Measured contract, exoneration chain and host gates:
+> `tts-npu-spike-verdict-2026-10-19.md`. That page supersedes §8–§9 below.
+
+Convention: vendor claims carry URL + the version/date they hold for.
+**[host]** = Dankclaw state verified on the live machine 2026-10-19 (Main), not a
+vendor claim. `[INFERENCE]` = my deduction from the cited artifacts.
+
+## 0. Answers to the three questions Main ranked
+
+**(1) A runtime that already runs TTS on XDNA2 today: it exists at AMD, not on our
+host.** Ryzen AI Software **1.8.0** (docs `latest` == 1.8.0; released 2026-07-23)
+lists `neutts-air` and `neutts-nano` as model type **TTS**, variant
+*full-optimized* (NPU-only) — <https://ryzenai.docs.amd.com/en/latest/llm_list.html>;
+release note "New TTS model support: neutts-air, neutts-nano" —
+<https://ryzenai.docs.amd.com/en/latest/relnotes.html>. Pre-compiled artifacts are
+published: `amd/neutts-air_rai_1.8.0_npu_4K` (arch `qwen2`, lastModified
+2026-07-23, Apache-2.0, "AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4
+Weights") and `amd/neutts-nano_rai_1.8.0_npu_4K` (arch `llama`).
+**Neither artifact is a TTS engine.** Both file lists are LM-only (`model.onnx`,
+`genai_config.json`, BPE tokenizer, AIE-ML compiler metastate: `dd_metastate_*`
+`.ctrlpkt/.super/.state`, `cache/txn_bins.zip`) with **no codec, no vocoder, no
+reference-audio encoder**. [INFERENCE from HF file lists]
+
+**(2) FastFlowLM: no TTS, and we cannot add one** — see §2. Halogen: no TTS entry
+**[host]**. So "something installed already serves TTS on the NPU" is FALSE.
+
+**(3) Our own ONNX graph compiled for the NPU on Linux:** possible for the plain
+ONNX flows (they compile on Linux), **impossible for a new LLM/OGA model** — model
+generation is Windows-only in 1.8.0 — and gated by an operator table where BF16
+lacks Softmax/LayerNorm/ReLU/Gelu (see §4).
+
+## 1. Landscape: every way to reach the XDNA2 array on Linux
+
+| # | Path | License | Strix Halo + Linux, 2026-10 | Speech synthesis |
+|---|------|---------|------------------------------|------------------|
+| 1 | Ryzen AI SW → ONNX Runtime + Vitis AI / Ryzen AI EP; compile INT8 (`X2`) or BF16 (`VAIML`) ONNX at session creation | AMD proprietary (tarball) | supported: our device ID/rev is in AMD's STX table; compile+run works on Linux (§3, §4) | user-authored ONNX only; no TTS recipe/demo |
+| 2 | Same EP driven by **OGA** (`onnxruntime-genai`), "full fusion" NPU-only LLM flow; runner = AMD `model_benchmark` / OGA C++ API | AMD + MS OGA | Linux: **vendor-precompiled models only**, no hybrid flow | **neutts-air / neutts-nano = TTS** (LM half) |
+| 3 | **FastFlowLM** `flm` | MIT + free proprietary kernels | Strix Halo "Supported"; Ubuntu 24.04/25.10/**26.04**, Arch | none (ASR input only) |
+| 4 | **IRON / mlir-aie** + Peano → hand-written AIE-ML design → XRT/`amdxdna` | Apache-2.0 + LLVM exception | explicitly documented "AMD Ryzen™ AI on Linux"; same driver/XRT stack | anything, hand-written; nothing ships TTS |
+| 5 | Vendor-curated AIE-ML graph sets (halogen `HALOGEN_NPU_MODELS`, FLM packs) | vendor | present **[host]** | none **[host]** |
+| 6 | Windows-only: DirectML, Ryzen AI Windows EP (`ryzenai-llm`), Studio Effects, `whispercpp` NPU | — | not usable | (per Lemonade matrix: Windows only) |
+| 7 | ggml/llama.cpp/**qwentts.cpp**, whisper.cpp, sherpa-onnx, Piper | — | no XDNA backend in ggml/ORT-mainline | CPU / iGPU only |
+| 8 | IREE, TVM, ONNX Runtime mainline EPs (OpenVINO = Intel NPU, MIGraphX/ROCm = AMD GPU) | — | no XDNA2 target; AMD's NPU EP is only "Xilinx Vitis-AI (preview)" in the ORT EP list and ships inside AMD's own build | n/a |
+
+Sources: §2–§6 below.
+
+## 2. FastFlowLM (`/usr/bin/flm` 1.0.1 **[host]**) — catalog + HTTP surface
+
+* Repo moved into AMD's ROCm org **2026-08-11** (`github.com/ROCm/FastFlowLM`,
+  v1.0.0). "Supports all Ryzen™ AI Series chips with XDNA2 NPUs (Strix, Strix Halo,
+  Kraken, and Gorgon Point)."
+  <https://github.com/ROCm/FastFlowLM> (README fetched 2026-10-19).
+* Linux support landed 2026-03; distros: Ubuntu 24.04, 25.10, **26.04**, Arch,
+  generic. Needs NPU firmware ≥ 1.1.0.0, kernel **7.0+** with `amdxdna` (or
+  `amdxdna-dkms`), XRT stack (`ppa:lemonade-team/stable` → `libxrt-npu2`,
+  `amdxdna-dkms`); `flm validate` reads the DRM path (`/dev/accel/accel0`), `flm
+  run` goes through **XRT** and fails with `No such device with index '0'` unless
+  `xrt-smi examine` lists the NPU; `memlock` must be raised.
+  <https://fastflowlm.com/docs/install_lin/> (page dated 2026-03-05, fetched
+  2026-10-19). Static build bundles **XRT v2.21.75** — the same XRT series as the
+  distro package on the host **[host]**.
+* HTTP surface: `flm serve <model>` → OpenAI-compatible REST, **port 52625**, no
+  auth. Maintained endpoints: `v1/models`, `v1/chat/completions`,
+  `v1/audio/transcriptions`, `v1/embeddings`. **There is no
+  `/v1/audio/speech`.**
+  <https://fastflowlm.com/docs/instructions/server/openapi/>
+* Catalog 2026-10-19 (<https://fastflowlm.com/docs/models/>): LLaMA, DeepSeek,
+  Qwen, Gemma, MedGemma, TranslateGemma, gpt-oss, LiquidAI/LFM, Phi, Nanbeige,
+  **Whisper — card states "Type: Speech-to-Text (ASR)"**
+  (<https://fastflowlm.com/docs/models/whisper/>), EmbeddingGemma, SmolVLA,
+  Hy-MT2, MiniCPM. No speech-synthesis entry.
+* Engines are **prebuilt, closed, downloaded from Hugging Face per architecture**
+  ("Internet access to HuggingFace is required to download the optimized model
+  kernels"). The only in-tree engine build is Gemma-4E
+  (`cmake --preset linux-default -DFLM_BUILD_GEMMA4E=ON`).
+  → **A new TTS architecture cannot be added to `flm` by us.**
+
+## 3. AMD Ryzen AI Software 1.8.0 on Linux — install source, device support
+
+* **Install channel (important correction to the pypi.amd.com evidence).** The pip
+  index is Windows-only for the EP runtime (`ryzenai_dynamic_dispatch-1.7.0-…
+  win_amd64.whl`, `onnxruntime_vitisai-1.23.2-…win_amd64.whl`; `flexmlrt` has a
+  single **linux_aarch64** wheel) — but AMD's Linux stack is not on pip. It ships
+  as a tarball that is, as of 2026-10-19, **publicly reachable without an AMD
+  account**: `https://download.amd.com/opendownload/RyzenAI/1.8.0/ryzen_ai-1.8.0.tgz`
+  → HTTP 206 on a range probe, `Content-Range: bytes 0-8/**7819506855**`
+  (**≈7.8 GiB**, magic `1f 8b 08` = gzip). (The docs link it behind the
+  EULA form `account.amd.com/...ryzenai-eula-public-xef.html`; the CDN path
+  serves it directly. Verified by me with curl 2026-10-19. I did not finish
+  downloading 7.8 GiB, so the tarball's *contents* list is unverified —
+  `[INFERENCE]` only where noted.)
+* Driver/XRT package (public, 90,016,137 bytes, `application/zip`):
+  `https://download.amd.com/opendownload/RyzenAI/Driver/RAI_1.8_Linux_NPU_XRT.zip`
+  contains `xrt_202620.2.25.37_24.04-amd64-{base,base-dev,npu}.deb` +
+  `xrt_plugin.2.25.260102.56.release_24.04-amd64-amdxdna.deb` (verified by
+  download + unpack). **The plugin deb ships firmware for
+  `/usr/lib/firmware/amdnpu/17f0_11/npu.dev.sbin`** — exactly the directory our
+  NPU loads **[host]** — plus `1502_00`, `17f0_10`, `17f1_10`, `17f1_13`,
+  `libvxdna.so`, `libxrt_driver_xdna.so.2.25.260102.56`, and the DKMS driver
+  source tarball. **No xclbin/PDI and no compiler binary in this package**: it is
+  driver + XRT shim + firmware only.
+* **Our device is officially STX.** AMD's APU table
+  (<https://ryzenai.docs.amd.com/en/latest/app_development.md#apu-types>):
+  `0x1022:0x17F0 rev 0x11 → STX` (0x00/0x10 also STX, 0x20 = KRK, `0x1502` rev 0
+  = PHX/HPT). Release notes: "Strix and **Strix Halo** as STX", and the STX/KRK
+  column enables CNN INT8, CNN BF16, NLP BF16, LLM (OGA).
+* Vendor driver source (same deb, `share/amdxdna/amdxdna.tar.gz`, source dated
+  2026-06-29) maps `0x17f0 rev 0x11 → dev_npu5_info`, `.fw_path =
+  "amdnpu/17f0_11/"`, `default_vbnv = "RyzenAI-npu5"`, and the revision→name table
+  has `{ AIE2_DEV_REVISION_HALO, "NPU Strix Halo" }`; `xrt-smi examine` therefore
+  reports the device as **NPU Strix Halo**.
+* Linux install recipe (1.8.0 docs
+  <https://ryzenai.docs.amd.com/en/latest/linux.html>): Ubuntu 24.04 packages,
+  **Python 3.12** (`apt install python3.12 python3.12-venv`),
+  `libboost-filesystem1.74.0`, dkms; then `install_ryzen_ai.sh -a yes -p <venv>`;
+  `LD_LIBRARY_PATH=…:${RYZEN_AI_INSTALLATION_PATH}/onnxruntime/lib/`;
+  `quicktest.py` "picks up a simple CNN model, **compiles it** and runs on AMD's
+  Neural Processing Unit" — i.e. **compilation runs on Linux** for the non-LLM
+  flows. "Linux currently supports NPU only flow" (no iGPU EP).
+  Host friction: our box is Ubuntu 26.04 + **Python 3.14** **[host]**, so the venv
+  must be built with a 3.12 interpreter and the packages are 24.04-built
+  `[INFERENCE]`.
+* LLM flow on Linux
+  (<https://ryzenai.docs.amd.com/en/latest/llm_linux.html>): prequantized
+  ready-to-run models from HF, `deployment/lib`,
+  `RYZENAI_EP_PATH=$PWD/deployment/lib/libonnxruntime_providers_ryzenai.so`,
+  run via the `model_benchmark` binary; **"Linux does not support Hybrid flow"**;
+  **"Model generation is not supported in current release"** (repeated in
+  relnotes 1.8 Known Issues: "Models generated on Windows are compatible with
+  Linux"); needs `memlock unlimited`.
+  Sample throughput in that doc: **49.1 tokens/s decode**, 753 tokens/s prefill
+  (Phi-3.5-mini, 4K model).
+* Third-party confirmation of the OS split: Lemonade's backend matrix
+  (<https://raw.githubusercontent.com/lemonade-sdk/lemonade/main/README.md>,
+  fetched 2026-10-19) — `flm`/npu/XDNA2 = **Windows, Linux**;
+  `ryzenai-llm`/npu = **Windows only**; `whispercpp`/npu (STT) = **Windows only**;
+  text-to-speech engines `kokoro` and `acestep` = metal / cuda / vulkan / rocm,
+  **no npu device at all**. Lemonade is the "Server Interface" layer of AMD's own
+  Ryzen AI stack (docs index), so this matrix is the vendor-sanctioned view.
+
+## 4. Can we compile our own graph on Linux? (the no-recipe path)
+
+Mechanics from <https://ryzenai.docs.amd.com/en/latest/modelrun.md> (1.8.0):
+ONNX only, opset 17 recommended; the EP compiles on first `InferenceSession` and
+caches (VitisAI EP cache, or ORT **EP context cache** — `ep.context_enable`, and
+"precompile the EP context model using Python and deploy it using a C++ program"
+is explicitly supported); EP auto-partitions unsupported nodes to CPU;
+BF16 = `target VAIML` (`preferred_data_storage: unvectorized` for transformers),
+BF16 **STX/KRK-or-newer only**; INT8 = `target=X2` with XINT8/A8W8/A16W8 and
+"general asymmetric quantization … to enable third-party quantized models";
+**deployment EP cannot compile BF16 on the fly** — ship a pre-compiled model
+(<https://ryzenai.docs.amd.com/en/latest/app_development.md>);
+cache dirs are not portable across EP or NPU-driver versions.
+
+Operator coverage is the hard gate
+(<https://ryzenai.docs.amd.com/en/latest/ops_support.md>, "operators supported in
+Ryzen AI 1.8.0"; "Y" = broad coverage, some configurations may still fail):
+
+* Good for TTS front-ends/vocoders: `ConvTranspose` **Y in BF16/A16W8/A8W8**
+  (absent only from XINT8), `Conv`, `Resize`, `Upsample`, `Pad`, `LSTM` (BF16),
+  `CumSum` (BF16/XINT8), `STFT` (XINT8 only).
+* **Blockers for a decoder-style transformer in the plain flows:** in **BF16** the
+  table has **no Softmax, no LayerNormalization, no Relu/Gelu**; LayerNorm is
+  XINT8-only and Softmax is A16W8/A8W8/XINT8-only. So attention either lives in
+  the **LLM/OGA flow** (whose op set is exactly
+  `SimplifiedLayerNormalization`, `SkipSimplifiedLayerNormalization`, `MatMulNBits`
+  (W4ABF16/W4ABFP16), `RotaryEmbedding`, **`GroupQueryAttention`**, `Sigmoid`,
+  `Mul`, `Add`) or must be decomposed into a quantized INT8 flow.
+* Missing entirely: `GRU`, `Trilu`, `OneHot`, `EyeLike`, `Multinomial`,
+  `NonMaxSuppression`, `CastLike`, `MelWeightMatrix`/`MelFilterGroup`,
+  `RMSNormalization` → graphs that emit them must be rewritten before they
+  partition onto the NPU. [INFERENCE from absence in the table.]
+* Quantization is a separate tool, not in the driver package: **AMD Quark**
+  (`quark.torch` / `quarkonnx`), which documents `ConvTranspose2d`, `conv1d`,
+  softmax/LayerNorm/BFP quantization (relnotes 1.3/1.2/1.1/0.9) — Quark is *not*
+  on pypi.org under the obvious names **[host probe]** and ships from AMD's
+  gated/pip-private channel.
+* **New LLM-shaped model (our Qwen-Talker analogue): Windows-only today.**
+  OGA model generation is not available on Linux in 1.8.0 (§3). So a *new*
+  speech-LM cannot be self-served onto the NPU on Linux without AMD (or a
+  Windows box) in the loop.
+* Practical shape cost: the neutts artifacts carry **one compiled variant per
+  padded sequence length** (128/256/512/768/1024/1536/2048/2304/3072/4096 for
+  prefill; 256…4096 for token-phase attention mask) — i.e. per-shape compile
+  artifacts are the norm for the LLM flow. [INFERENCE from the HF file list.]
+
+## 5. Does the AMD TTS artifact actually produce speech? (cloned-voice survival)
+
+NeuTTS is **LM + separate neural codec** ("Simple LM + codec architecture"),
+clone from ~3 s of reference audio, and the codec is **NeuCodec (50 Hz, single
+codebook)**: `neuphonic/neucodec` (PyTorch, encode+decode),
+`neucodec-onnx-decoder{,-int8}` (**decode only**), "Decoder-only (ONNX) codecs
+require **pre-encoded references** — these ship with the repo for all bundled
+voices." Phoneme input; 2048-token context ≈ 30 s of audio; NeuTTS-Air ~360 M
+active / 552 M with embeddings; upstream benchmarks are **CPU-only llama.cpp**
+(119 tok/s prefill/decode mix on a Ryzen 9 HX 370) and explicitly exclude the
+codec. <https://raw.githubusercontent.com/neuphonic/neutts/main/README.md>
+(fetched 2026-10-19); `neuphonic/neutts-air` HF metadata (lastModified
+2026-08-26, `qwen2`, GGUF + safetensors).
+
+Consequences for the fleet spike:
+
+1. AMD's NPU artifact = LM only; **waveform decode and reference encoding are CPU
+   work either way**. Our `reference.wav` voices survive only if we run the
+   NeuCodec **encoder** (PyTorch, per the codec table there is no ONNX encoder)
+   once per voice and then feed pre-encoded codes. That is a one-time offline
+   step per voice; after that the compiled graph takes codes/prompt prefix as
+   ordinary inputs, so nothing about the compiled graph forbids a caller-supplied
+   speaker prefix. `[INFERENCE]`
+2. Real-time math: 50 Hz codec means **≥50 tokens/s decode** for 1× RT. AMD's own
+   Linux sample output for a 4K Phi-3.5-mini is **49.1 tok/s** — so budget for
+   roughly RT-1× on one 4K "full fusion" graph, before the codec's CPU cost.
+   `[INFERENCE — different model; must be measured.]`
+3. Host RAM: the same doc reports **peak working set 3.54 GB** for that 4K model.
+   NeuTTS-Air is ~552 M params at W4A-BFP16, so expect a smaller footprint than
+   3.5 GB `[INFERENCE]`; still non-trivial against 14 GiB available **[host]**.
+4. AMD ships **no TTS demo, runner, or server** on any OS: the examples page has
+   only CNN/BF16/DistilBERT/super-resolution/OGA-LLM/VLM/RAG
+   (<https://ryzenai.docs.amd.com/en/latest/examples.md>); the RyzenAI-SW repo
+   tree (669 paths, `main`, fetched 2026-10-19) contains speech demos **only under
+   `Demos/ASR/{Whisper,Parakeet-TDT}` and `Transformer-examples/ASR/Whisper-AI`**
+   — no TTS directory. Serving TTS therefore means writing our own OGA host
+   (or driving `model_benchmark`-style C++ code) plus phonemizer + NeuCodec glue.
+
+## 6. Two graphs on one NPU, and the iGPU hazard
+
+* **Concurrency is a first-class driver feature.** The vendor `amdxdna` source
+  (in `xrt_plugin.2.25.260102.56`, 2026-06-29) sets `.hwctx_limit = 16` for
+  npu4/npu5 — i.e. **16 hardware contexts** on our device — and allocates each
+  context a set of AIE columns with QoS `opc = col_opc (4096) × num_col`
+  (`aie2_ctx.c`, `aie2_solver.h`), with `frame_boundary_preempt` /
+  `fill_preempt_slot` in `aie2_pci.h` (firmware preemption at frame boundaries).
+  So halogen's armed models and a TTS graph can hold separate contexts
+  simultaneously; they contend for columns and OPC share, they are not mutually
+  exclusive.
+* AMD's user-visible history agrees: 1.4 "Support for up to **16 hardware
+  contexts** on Ryzen AI 300 series"; 1.5 "Application concurrency: improves the
+  resource distribution across applications"; 1.3 "Idle detection and suspension
+  of contexts", "Rebalance feature for AIE hardware resource optimization";
+  1.0 known issue "Support for multiple applications is limited to up to eight"
+  (all in <https://ryzenai.docs.amd.com/en/latest/relnotes.html>).
+* **Package conflict, the real risk** [INFERENCE]: the vendor stack wants AMD's
+  XRT 2.25.37 + `xrt_plugin…amdxdna` deb **[host: distro `libxrt-npu2
+  1:2.21.75+dfsg-4` installed]**, and firmware must match the loaded `amdxdna.ko`
+  — the vendor README warns that a stale/mismatched `npu.sbin` causes
+  `ERT_CMD_ABORT`/mailbox timeouts, and that a distro **in-tree** `amdxdna` older
+  than the XRT SHIM makes `GET_ARRAY`/`QUERY_TELEMETRY` return
+  `EOPNOTSUPP`/`EINVAL` (<https://github.com/amd/xdna-driver> README,
+  fetched 2026-10-19). Installing AMD's debs over the distro XRT changes the ABI
+  under FastFlowLM/halogen, so the spike must decide the XRT version **once**, for
+  the whole host.
+* **iGPU / fabric clock:** no vendor document supports a fabric-clock pin, and no
+  vendor document addresses NPU+iGPU concurrency hangs. AMD's Strix Halo
+  optimization doc (ROCm docs, dated 2026-02-20, and its successor "AMD RDNA3.5
+  system optimization", ROCm 10.1.0) covers GPUVM/GART/GTT, the TTM `pages_limit`
+  knob, `amd-ttm`, BIOS VRAM sizing, and minimum kernel versions
+  (<https://rocm.docs.amd.com/en/docs-7.2.0/how-to/system-optimization/strixhalo.html>,
+  <https://rocm.docs.amd.com/en/latest/reference/system-optimization/rdna3-5.html>).
+  The `pp_dpm_fclk` level-7 pin and the GPU+NPU hang observation stay
+  fleet-observed **[host]**, i.e. `[INFERENCE]` territory — no citation exists.
+
+## 7. Paths I checked and ruled out (so nobody re-walks them)
+
+* **Windows-only doors**: DirectML; Ryzen AI Windows EP; Lemonade's
+  `ryzenai-llm` and `whispercpp`-NPU engines (matrix above); AMD's OGA model
+  generation. Not usable on Dankclaw.
+* **Mainline ONNX Runtime** has no AMD-NPU EP: its EP summary lists AMD ROCm and
+  AMD MIGraphX (GPU) and "Xilinx Vitis-AI (*preview*)" only
+  (<https://onnxruntime.ai/docs/execution-providers/>, 2026-10-19); the working
+  EP is AMD's own build (`libonnxruntime_providers_ryzenai.so` in the tarball's
+  deployment dir, per llm_linux).
+* **ggml / llama.cpp / qwentts.cpp**: no XDNA backend → the current engine
+  (`tts-server` on GGUF, CPU-only build **[host]**) cannot be "turned on" for the
+  NPU; migration means a different runtime, not a flag.
+* **`flm`**: catalog/engines are closed per-architecture (§2) — the cheapest door
+  by install cost, and it is not a door for TTS.
+* **IRON / mlir-aie** is the only open toolchain that documents running on the
+  Ryzen AI NPU from Linux ("A close-to-metal Python API for programming AMD Ryzen™
+  AI NPUs, built on an open-source MLIR-based compiler toolchain"; "Getting
+  Started for AMD Ryzen™ AI on Linux", Ubuntu 24.04/24.10, XRT from
+  `ppa:amd-team/xrt`: `libxrt2 libxrt-npu2 … amdxdna-dkms`, `render` group
+  required) — <https://raw.githubusercontent.com/Xilinx/mlir-aie/main/README.md>,
+  fetched 2026-10-19. This is how FLM's kernels were made ("Low-level kernels
+  optimized using IRON + AIE-MLIR", FLM README) — i.e. real, but it is
+  hand-written per-op tile programming, not a model compiler: writing a TTS model
+  here is a multi-month engineering project, not a migration.
+* **Embedded** Ryzen AI P100 support in the same Linux doc is irrelevant to STX.
+
+## 8. Recommendation implied by the above (for Main's spike)
+
+Spike the AMD path as decided, with these constraints planned in: Python 3.12 venv
++ 24.04-built wheels on Ubuntu 26.04; one host-wide XRT decision (AMD 2.25.37 vs
+distro 2.21.75) with firmware/driver pairing checked via `xrt-smi examine` →
+"NPU Strix Halo"; 7.8 GiB tarball staged off the public CDN URL (§3); pre-encode
+each `reference.wav` with the **PyTorch** NeuCodec encoder because the ONNX codec
+is decoder-only; keep phonemizer + codec on CPU; measure decode tokens/s against
+the 50 Hz budget and peak RSS against the ~14 GiB headroom; expect to write the
+serving shell yourself (AMD ships `model_benchmark`, no TTS demo).
+
+## 9. Loose ends (not verified; I stopped on Main's stand-down)
+
+* Contents of `ryzen_ai-1.8.0.tgz` (7.8 GiB) — whether the Linux tarball contains
+  the AIE-ML compiler (`vaiml`, `aiecompiler_client`) for the *BF16/INT8* flows
+  and which Python wheels it carries. My statement that non-LLM compilation works
+  on Linux rests on AMD's own Linux doc ("quicktest.py … compiles it and runs on
+  … NPU"), not on the package contents. Download was killed mid-flight.
+* Whether AMD's `neutts` artifacts run correctly under the Linux `model_benchmark`
+  runner (the TTS rows are listed without OS qualifiers; no Linux TTS run is
+  documented anywhere in 1.8.0 docs).
+* Exact AIE column count/total `ncols` exposed for Strix Halo (driver reads it
+  from AIE metadata: `ndev->total_col = min(XRS_MAX_COL, ndev->aie.metadata.cols)`).

report/qwen3-tts-payload-portability-2026-10-19.md

@@ -0,0 +1,438 @@
+# Qwen3-TTS payload + qwentts.cpp runtime: architecture and portability
+
+Research deliverable (no code). Slice: *what the fleet's TTS payload actually is, and how
+portable it is off the CPU ggml path.* Companion slice: `NpuRuntimeLandscape` (what NPU
+runtimes exist on Dankclaw).
+
+Evidence date: 2026-10-19. Everything below is grounded in:
+
+- `github.com/ServeurpersoCom/qwentts.cpp` @ `5916bf7c79dbb4e66fc059cdc507a79a23a28bb4`
+  (2026-10-16, upstream HEAD on 2026-10-19) and its ggml submodule
+  `ServeurpersoCom/ggml` @ `cc5df49a6b878db2b68b9a7b45976e279594627d` (2026-10-16).
+- The two GGUF files as they sit on Dankclaw (`/home/dank/models/Qwen3-TTS-GGUF/`), read
+  byte-for-byte from the live host.
+- Upstream Qwen3-TTS model cards / release material.
+
+Status: COMPLETE for the assigned slice. ANSWER C was confirmed on the live host the same
+night — the running `frank-tts-engine` container carries `libggml-base.so.0.27.0` +
+`libggml-cpu.so.0.27.0` and nothing else, and our own
+`dankclaw/voiceservice/Containerfile.engine` writes `-DGGML_VULKAN=OFF` out explicitly, so
+the iGPU change is a flag in a file the fleet owns. Verdict, measured contract and the NPU
+exoneration chain: `tts-npu-spike-verdict-2026-10-19.md`.
+
+---
+
+## 1. What the payload is
+
+Two files, both read byte-for-byte off the live host (`/home/dank/models/Qwen3-TTS-GGUF/`,
+owned `dank:dank`, mtimes 2026-10-18 18:31), both from
+`https://huggingface.co/Serveurperso/Qwen3-TTS-GGUF` (community converter, not Qwen):
+
+| file | bytes | GGUF | tensors | arch string | file_type |
+|---|---|---|---|---|---|
+| `qwen-talker-1.7b-base-Q4_K_M.gguf` | 1,219,245,248 | v3, kv=64 | 480 | `qwen3-tts` | `Q4_K_M` |
+| `qwen-tokenizer-12hz-Q8_0.gguf` | 291,150,624 | v3, kv=51 | 398 | `qwen3-tts-tokenizer` | `Q8_0` |
+
+`general.name` of the talker file is `Qwen3-TTS-12Hz-1.7B-base`; the header sizes add up
+to the file sizes (sum of tensor bytes + header + alignment padding), so nothing in these
+files is unaccounted for.
+
+### 1.1 Talker file (480 tensors)
+
+Three models in one container, per `docs/ARCHITECTURE.md` §GGUF layout
+(qwentts.cpp @ pinned commit) and confirmed by the tensor census:
+
+| prefix | tensors | bytes | what it is |
+|---|---|---|---|
+| `talker.*` | 316 | 1,061.9 MB | 28-layer Qwen3 decoder (hidden 2048, FFN 6144, 16 Q heads / 8 KV heads, head_dim 128, RoPE θ=1e6, RMS ε=1e-6, ctx 32768), text stream + codec stream summed, `codec_head` → 3072 codebook-0 logits |
+| `code_pred.*` | 88 | 114.8 MB | 5-layer Qwen3 MTP head (hidden 1024, FFN 3072, 15 acoustic codebooks × 2048), own KV cache |
+| `spk_enc.*` | 76 | 36.6 MB | ECAPA-TDNN speaker encoder (x-vector, base checkpoints only; mel → conv0 → 3 SE-Res2Net → MFA → ASP → 2048-d vector) |
+
+Dtype split (exact tensor byte sums): `q4_K` 250 tensors / 864.1 MB, `q6_K` 17 / 312.0 MB,
+`f32` 176 / 25.8 MB, `f16` 37 / 11.4 MB.
+
+Which tensors carry which quant is the load-bearing portability fact:
+
+- `q6_K` (17): `talker.text_embd.weight [2048, 151936]` (255.3 MB), `talker.codec_embd.weight
+  [2048, 3072]`, and the 15 `code_pred.codec_embd.<g>.weight [2048, 2048]` embedding tables.
+  These are the llama.cpp `Q4_K_M` "embedding/output rows go to Q6_K" rule, applied to
+  embedding tables rather than to an `lm_head`.
+- `q4_K` (250): every attention/FFN projection of the talker and of the code predictor.
+  Distinct matmul shapes: `[2048,2048]`×73, `[2048,1024]`×62, `[2048,6144]`×56,
+  `[6144,2048]`×28, `[1024,2048]`×20, `[1024,3072]`×10, `[1024,1024]`×10, `[3072,1024]`×5,
+  `[2048,3072]`×2, `[2048,151936]`×1. Every one is 2-D and ≥ 1024 on both axes — good
+  GEMM shapes, nothing exotic.
+- `f32` (176) / `f16` (37): all of `spk_enc` (conv weights F16 because K=1/3/5 rows are not
+  block-alignable, per the converter's `should_quantize` policy in `tools/quantize.cpp` +
+  `quantize.sh`; every bias/norm/LayerScale vector F32), plus the talker/predictor norms and
+  the `text_proj` biases.
+
+Metadata the runtime actually reads (talker file): `qwen3-tts.num_code_groups=16`,
+`talker.vocab_size=3072`, `text_vocab_size=151936`, `text_hidden_size=2048`,
+`position_id_per_seconds=13`, `rope.mrope_section=[24,20,20]`, `mrope_interleaved=1`,
+the 7 codec special ids (pad 2148 / bos 2149 / eos 2150 / think 2154 / nothink 2155 /
+think_bos 2156 / think_eos 2157), `language_names` (10: chinese, english, german, italian,
+portuguese, spanish, japanese, korean, french, russian) with their codec ids, the text-side
+special ids (im_start 151644, im_end 151645, tts_pad 151671, tts_bos 151672, tts_eos 151673),
+the whole `generation_config.json` (do_sample, top_k 50, top_p 1.0, temperature 0.9,
+repetition_penalty 1.05, `subtalker_*` mirrors, max_new_tokens 8192), and an embedded
+**Qwen2 BPE tokenizer** (`tokenizer.ggml.model=gpt2`, 151,676 tokens, 151,291 merges,
+eos 151643) — that BPE block is 5.95 MB of the header, i.e. 49 % of the header is vocabulary.
+
+Two live-file details that contradict the upstream doc text (worth knowing when reading
+`docs/ARCHITECTURE.md`: the doc example block is stale against the shipped file):
+`mrope_interleaved` is **1** (doc shows `false`), and `spk_enc.sample_rate` is **24000**
+(doc says 16000). Doc also says "404 tensors on the 1.7B voice_design build" — the base
+build shipped here has 480 because it carries `spk_enc.*`.
+
+### 1.2 Tokenizer/codec file (398 tensors)
+
+One neural audio codec, 12.5 frames/s over 24 kHz mono, hop 1920, 16 codebooks × 2048
+entries (1 semantic + 15 acoustic). Dtype split: `f16` 50 / 143.6 MB, `q8_0` 110 / 76.9 MB,
+`f32` 238 / 70.7 MB. `tok_dec.*` 253 tensors / 201.3 MB, `tok_enc.*` 145 / 89.9 MB.
+
+Composition (metadata + tensor census, both files agree):
+
+- **Encoder** (used only to make voice references, not on the synthesis hot path): SEANet
+  conv stack (init k=7, 4 stages with ratios 8/6/5/4 → cumulative 960×, 64→512 ch, final
+  k=3), an 8-layer transformer (hidden 512, 8 heads, head_dim 64, FFN 2048, RoPE 1e4,
+  LayerNorm+bias, GELU, LayerScale), a downsample conv k=4 s=2 (25 → 12.5 Hz), then the RVQ
+  argmin loop. Metadata records `encoder.num_quantizers=32` with
+  `encoder_valid_num_quantizers=16` — 16 codebooks are used, 16 are dead weight carried from
+  the upstream config.
+- **Decoder** (the hot path: every generated frame): 16 codebook lookups + per-split
+  `output_proj` (256→512), `conv_pre`, an 8-layer transformer (hidden 512, 16/16 heads,
+  head_dim 64, FFN 1024, **sliding window 72**, RMSNorm, SwiGLU, LayerScale, input_proj
+  1024→512 / output_proj 512→1024), a ConvNeXt upampler (`upsampling_ratios=[2,2]`, causal
+  transposed convs + depthwise k=7), then a DAC-style decoder `dec.0..3`
+  (`upsample_rates=[8,5,4,3]`, channels 1536→768→384→192→96, `decoder_dim=1536`) whose blocks
+  are SnakeBeta → causal transposed conv (k = 2·stride) → 3 residual units (dilations 1/3/9)
+  → snake_post → conv_post k=7 → 96→1.
+- All 32 codebook tensors are **F32, 67.1 MB total** (16 encode + 16 decode, `[256, 2048]`),
+  deliberately unquantized: the converter's `should_quantize` keeps RVQ codebooks and their
+  wrapping projections at F32 because nearest-neighbour lookup is sensitive to per-row
+  quantisation noise (`docs/ARCHITECTURE.md` "Quantisation policy"; mirrored in
+  `quantize.sh`). 49 of the codec's 55 3-D conv tensors are **F16** with non-alignable K
+  (7, 3, 2, 1, 16, 10, …) — they cannot be block-quantized at all.
+- **No flow matching, no diffusion, no vocoder-with-ODE.** It is a pure RVQ codec
+  (Mimi/SoundStream/Mimi-style: SEANet + transformer + DAC decoder). That matters for the
+  NPU question: every component is convolution, attention, or embedding lookup.
+
+### 1.3 Where the payload came from, and what the official weights look like
+
+Official upstream (`huggingface.co/api/models`, retrieved 2026-10-19):
+
+| repo | last modified | license | weights |
+|---|---|---|---|
+| `Qwen/Qwen3-TTS-12Hz-1.7B-Base` | 2026-01-23 | apache-2.0 | `model.safetensors` BF16, 1,928,677,440 params, plus an embedded `speech_tokenizer/model.safetensors` |
+| `Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice` | 2026-01-29 | apache-2.0 | same layout, named-speaker tables |
+| `Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign` | 2026-01-29 | apache-2.0 | 1.7B only |
+| `Qwen/Qwen3-TTS-12Hz-0.6B-Base` / `-0.6B-CustomVoice` | 2026-01-29 | apache-2.0 | narrow variant (hidden 1024) |
+| `Qwen/Qwen3-TTS-Tokenizer-12Hz` | 2026-01-29 | apache-2.0 | codec alone, F32, 170,557,441 params |
+
+So the GGUF is **not** the only public form: the safetensors are the canonical form
+(Apache-2.0, no separate community license risk), and the GGUF is a lossy re-quantization of
+them produced by the same author who wrote the runtime (`Serveurperso`), via
+`checkpoints.sh` → `convert.py` (F32 GGUF) → `quantize.sh` (BF16/Q8_0/Q4_K_M).
+Sizes to remember for any re-export: the talker container is 1.93 B params in BF16
+(that count includes the embedded codec), the codec alone is 170.6 M params in F32.
+
+**Portability consequence #1 — the GGUF is a dead end off-ggml.** Q4_K/Q6_K are ggml
+block formats (256-element super-blocks, F16 sub-block scales, 144 B / 210 B per block). No
+ONNX graph, no Vitis-AI/AIE-ML compiler, and no vendor NPU runtime consumes them; AMD's own
+quantizer works from ONNX (`ryzenai-quantize`, QDQ/QOP power-of-two — Ryzen AI Software
+1.8.0 release notes, https://ryzenai.docs.amd.com/en/latest/relnotes.html). Moving the
+payload to a non-ggml stack therefore means starting from the safetensors again, not
+converting the GGUF.
+
+**Portability consequence #2 — the quantization split is semantic, not cosmetic.** The
+converter keeps RVQ codebooks, `input_proj`/`output_proj` around them, and every 1-D and
+non-alignable-conv tensor out of the k-quants precisely because quantizing them breaks voice
+fidelity. Any re-quantization path (GPTQ/AWQ/QDQ-INT8/INT4 for an NPU compiler) inherits that
+constraint: the talker backbone is requantizable, the codec's codebook lookups and SnakeBeta
+convs are not, at least not without re-measuring voice quality.
+
+## 2. What the runtime is
+
+`qwentts.cpp` @ `5916bf7c` (2026-10-16, MIT; upstream model Apache-2.0) is a C++17 ggml
+application — 43 files under `src/` + `tools/`, three binaries (`qwen-tts`, `qwen-codec`,
+`tts-server`) over one public plain-C99 ABI (`src/qwen.h`, `qt_*`, `QT_ABI_VERSION`
+range-checked; `tests/abi-c.c` is compiled `-std=c99 -Wall -Werror -pedantic` on every
+build). It is not a llama.cpp derivative: it links ggml directly and builds its own graphs.
+
+Five graph families, and their shapes are the whole portability story:
+
+| graph | batch/time axis | notes |
+|---|---|---|
+| talker prefill | T = prompt length (hundreds–thousands) | summed text+codec embedding streams, 28-layer GQA decoder, KV cache |
+| talker decode | **T = 1 per audio frame** | 12.5 frames/s → 80 ms of audio per step; `codec_head` → 3072 logits |
+| code predictor (MTP) | **T = 1, 16 steps per frame** (2 prefill + 14 decode, cache reset every frame) | 5-layer decoder, 15 heads × 2048 |
+| speaker encoder | one pass per voice registration | ECAPA-TDNN with mel fused into the graph |
+| codec decode | offline: T = 300-frame chunks; streaming: **T = 1 frame** with persistent conv/KV-ring state | the streaming graph is built once with fixed topology so the CUDA graph cache stays in pure replay |
+
+Per generated frame the host therefore runs ~1 + 16 + 1 tiny graph computes for 80 ms of
+audio, and `tts-server` serializes synthesis FIFO (`--max-batch` defaults to 1, and the
+fleet runs it at 1). This is the archetypal latency-bound, bandwidth-bound,
+batch-1 workload; the only big-M matmuls in the whole system are the prefill and the
+chunked (buffered) codec decode.
+
+Op contract actually issued to ggml (`src/`, counted): `mul_mat` 77, `cont` 70, `add` 57,
+`mul` 40, `rms_norm` 22, `clamp` 15, `rope_ext` 12, `get_rows` 12, `set_rows` 8,
+`scale_bias` 6, `swiglu_split` 5, `sqr` 5, `mean` 5, `elu` 4, `col2im_1d` 4, `soft_max` 3,
+`conv_1d` 3, `im2col` 2, `cumsum` 2, `sin`, `sigmoid`, `tanh`, `div`, `argsort`, `transpose`,
+`permute`, `reshape/view`, plus the CPU-side Philox multinomial sampler.
+
+**No custom ggml op is required today.** The repo doc still says the fork "provides the two
+custom ops the codec needs: `GGML_OP_SNAKE` and `GGML_OP_COL2IM_1D`"; that is stale at the
+pinned commit. Verified 2026-10-19:
+
+- the submodule `ServeurpersoCom/ggml` @ `cc5df49` is upstream `ggml-org/ggml` master
+  (`a05c992`, 2026-10-15) **+2 commits, 0 behind** (GitHub compare API), and
+  `include/ggml.h` is byte-identical to upstream master (`diff` empty);
+- the 2 commits are `193e339` (2026-06-19) "cpu: add fused snake activation
+  (mul -> sin -> sqr -> mul -> add)" — a **CPU subgraph fusion**, not an op (the runtime
+  builds snake with `ggml_sin`/`ggml_sqr`/`ggml_mul`/`ggml_add` in `src/dac-decoder-v2.h:222`),
+  and `cc5df49` "sycl: fix get_rows on reordered quantized weights";
+- `ggml_col2im_1d` is an **upstream ggml API** (same declaration, line 2097, in both trees);
+  the Vulkan backend fuses the snake chain through ggml's generic subgraph fuser
+  (`ggml-vulkan.cpp:14548 ggml_vk_can_fuse_snake`, `vulkan-shaders/snake.comp`).
+
+Consequence: any stock ggml build (upstream, or llama.cpp's vendored ggml) can execute this
+payload; only the CPU snake fusion is fork-specific, and it is a performance nicety.
+
+Backend/device support: every tool takes `--device <name>` (`CUDA0`, `Vulkan0`, `MTL0`,
+`CPU…`, default best available), resolved through the ggml backend registry; the deployed
+container turns CUDA/HIP/Vulkan/Metal/SYCL/RPC/BLAS all OFF and compiles the native-CPU
+backend with OpenMP, with CPU threads = `hardware_concurrency()/2` (`src/backend.h`).
+The registry in this ggml knows CPU, CUDA, Metal, SYCL, Vulkan, WebGPU, ZDNN, OpenCL,
+**Hexagon**, BLAS, RPC, VirtGPU, **CANN**, ZenDNN, **OpenVINO**, ET — and nothing AMD-NPU
+(no `xdna`/`aie`/`vitis`/`ryzen` string anywhere in the ggml tree).
+
+Voice handling (what the fleet depends on): the registry is **process RAM only**; a restart
+empties it, which is why the unit has a boot warmer. `POST /v1/audio/voices` accepts either
+`{name, ref_text, wav_b64}` (server extracts) or `{name, ref_text, spk_b64, rvq_b64}`
+(pre-extracted latents verbatim); `ref_text` present ⇒ ICL clone mode, absent ⇒ x-vector-only
+mode. `.spk` = the ECAPA x-vector; `.rvq` = 16 codes/frame packed 11 bits LSB-first
+(`src/rvq-file.h`). `wav` and `pcm` `response_format` are different audio at the same seed
+(buffered chunked decode vs stateful streaming decode) — the fleet already encodes that rule.
+
+Parity expectations for any port: the upstream harness matches the PyTorch reference per
+stage (embed cos 0.999988, all 28 hidden taps ≥ 0.999893, logits 0.999824) but explicitly
+reports free-run divergence (`CodesFull exact 4.96 %`, `Audio cos 0.095`) and explains why —
+one argmax tie at FP epsilon diverts the AR trajectory. So a migrated endpoint must be
+accepted by listening + per-stage cosine, never by waveform diff against today's audio.
+
+---
+
+## 3. The three answers Main asked for
+
+### ANSWER A — Qwen3-TTS GGUF → ONNX: no, and it does not matter
+
+There is **no GGUF→ONNX path** and there will not be a useful one: GGUF is a weight
+container for ggml, its Q4_K/Q6_K block layouts have no ONNX consumer, and nothing in the
+GGUF carries the *graph* (the talker/predictor/codec structure lives in C++ code, only the
+op-level structure exists in ggml at runtime). But the GGUF is not the payload's only form —
+official Apache-2.0 safetensors are upstream, and **four independent ports of the full
+pipeline already exist**:
+
+| port | form | what it proves |
+|---|---|---|
+| `xkos/Qwen3-TTS-12Hz-1.7B-ONNX` (HF, updated 2026-03-03, apache-2.0) | FP16+FP32 ONNX, fp16/voice_clone + fp16/voice_design splits: `talker_decode.onnx`, `code_predictor.onnx`, `code_predictor_kv.onnx`, `code_predictor_embed_g0..15.onnx`, `text_embedding.onnx`, `codec_embedding.onnx`, shared `speaker_encoder.onnx`, `speech_tokenizer_encoder.onnx`, `speech_tokenizer_decoder.onnx`, `model_cache.npz` | every component of this architecture exports to ONNX, codec decoder included |
+| `zhangluoyang/qwen3-tts-onnxruntime` | export tooling + Python inference for Base/CustomVoice/VoiceDesign | the export is reproducible from the official checkpoints |
+| `Echo9Zulu/Qwen3-TTS-12Hz-CustomVoice-1.7B-INT8-OpenVINO`, `aurora2035/Qwen3-TTS-12Hz-0.6B-Base-OpenVINO-INT8` (2026-03) | OpenVINO IR, **INT8**: `talker`, `code_predictor`, `codec_embedding`, `text_model`, `openvino_speaker_encoder_model`, `speech_tokenizer/speech_decoder` | the talker and predictor INT8-quantize for an NPU-targeting stack |
+| `litert-community/Qwen3-TTS-12Hz-0.6B-Base` (2026-10-17, apache-2.0) | `qwen3_tts_int8.litertlm` / `_int4.litertlm` (LiteRT-LM `OmniEngine`), legacy split graphs `talker_int4.tflite` (prefill_32/prefill_128/decode signatures, KV 1024, blockwise-32 OCTAV INT4), `mtp_folded_int8.tflite` (16 inner steps × 5 layers folded into one graph, in-graph argmax+gather, GPTQ int8, ~5× faster), `codec_partA` (transformer, fp32) + `codec_partB` (conv upsampler, XNNPACK FORCE_FP16, ~2.5×, "ASR-identical") | an NPU/mobile compiler accepts the whole thing — at the price of graph splitting, static prefill buckets, and folding the per-frame inner loop |
+
+What the ports had to concede, and what any port inherits:
+
+- the generation structure does not fit existing engine loops: LiteRT-LM's Engine "does not
+  support this generation structure yet", so their first shape was **three graphs + a
+  host-side loop**, and the MTP step was "invoked 17× per frame" until they folded it;
+- per-step dispatch cost dominates: even on a Snapdragon 8 Elite Gen 5 they keep the MTP
+  loop, text projection, embedding gathers and the codec on CPU "avoiding 16 synchronous
+  CPU↔GPU round-trips per 80 ms frame", putting only the 28-layer talker on the GPU;
+- RTF on that hardware is **2.57–2.97 (Galaxy S26) and 5.65–8.48 (Pixel 10 Pro)** for the
+  0.6 B model, i.e. 2.6–8× slower than real time. Dankclaw's current CPU engine measures
+  **warm RTF 0.55–0.67 with TTFA 94–112 ms** on the 1.7 B model (fleet trial, 2026-10-18).
+  An NPU port is not "faster by default" for this workload; it has to beat that.
+- quantize the LM (int8/int4: proven), keep the codec's codebook lookups and SnakeBeta convs
+  in fp16/fp32 (the LiteRT split does exactly this).
+
+So: the answer to "can the fleet's payload be exported" is *yes — from the safetensors, not
+from the GGUF*, and the work is a pipeline rewrite (multi-graph host loop, per-frame fold,
+static prefill buckets), not a conversion. That is the same conclusion NeuTTS-Air's
+precompiled-graph route encodes: on AMD's Linux stack the graph is vendor-curated, so the
+fleet chooses the model that AMD already compiled rather than compiling Qwen3-TTS.
+
+### ANSWER B — is there any ggml backend for an AMD NPU? Not upstream; three out-of-tree, none for TTS
+
+Checked against the trees today (2026-10-19), because this was the crux:
+
+- **Nothing in-tree.** `ggml-org/llama.cpp` master (4,237 paths, GitHub tree API) contains no
+  `xdna`/`aie`/`vitis`/`ryzen` file or directory; the ggml backend set is CPU, BLAS, CUDA,
+  HIP, Metal, Vulkan, SYCL, OpenCL, WebGPU, MUSA, RPC, CANN (Ascend), **Hexagon** (Qualcomm),
+  OpenVINO (Intel CPU/GPU/NPU), ZenDNN, ZDNN, VirtGPU, ET. The deployed fork's registry
+  matches. The feature request "Feature Request: XDNA backend" (llama.cpp issue **#21725**,
+  opened 2026-04-10) is still **open**, 34 comments; the older #1499 was closed stale
+  2025-04-07. So Main's premise is confirmed: no ggml XDNA backend exists to flip a flag on.
+- **`Cyronius/ggml-xdna`** — a real ggml backend (`XDNA0`) loaded into *stock* llama.cpp via
+  `GGML_BACKEND_PATH`, no fork. It does bfp16 (8-value blocks sharing an exponent) GEMMs from
+  GGUF weights, and is **prefill-only**: it takes only matmuls in prompt chunks ≥ 1024 tokens
+  (`GGML_XDNA_MIN_BATCH` default 1024, `GGML_XDNA_MIN_MFLOP` 256), attention and every decode
+  token stay on the Vulkan device; pinned to llama.cpp release b10944; tested on Strix Point
+  (HX 370) only — Strix Halo "should pass, but nobody has run it on one yet"; Linux support
+  new and untested on hardware by the author; needs `libxrt-npu2`, `/dev/accel/accel0`,
+  unlimited `memlock`. Best measured prefill gain 1.88× on a 27 B model; models under
+  2,048-wide **lose** (0.77× at width 1,536).
+- **`BrandedTamarasu-glitch/OllamaAMDNPU`** — a llama.cpp fork with `-DGGML_XDNA=ON`,
+  explicitly targeting **Ryzen AI MAX / XDNA2 on Linux** (`/dev/accel/accel0`, XRT 2.21.75+,
+  amdxdna, unlimited memlock). It implements **only `GGML_OP_MUL_MAT`**, dispatched to
+  mlir-aie-compiled `.xclbin`s built per fixed tile shape (e.g. `M=2048 K=2048 N=64`,
+  int8 in / int32 out, per-row weight scales cached at first use), with a second slot for a
+  different K. Its own numbers on a Ryzen AI MAX 385 with Llama-3.1-8B Q4_K_M: NPU prefill
+  12–19 t/s vs **Vulkan iGPU 600–930 t/s**, NPU decode **0.65–1.40 t/s** ("Decode does not
+  use the NPU … M=1 per token, no xclbin covers it"), 0.6 % AIE utilization, and the stated
+  conclusion "**For LLaMA 8B on Strix Halo: use Vulkan exclusively**". Single-maintainer,
+  AI-assisted, self-measured — treat as a proof of concept, but it is the closest published
+  picture of what XDNA2 graph execution costs.
+- Also referenced in the same thread: `Atomic-Germ/OpenFlowLM-Next` (whole-model NPU engine,
+  LLM-only — and slower than the iGPU in the same comparison), `GaTmaNnes/xdna2-`,
+  `hardWorker254/Npu-Embeddings-XDNA1` (adds Whisper ASR ops, NPU1/Linux). None is a TTS path.
+
+Why none of them would carry this workload even if installed: the TTS hot loop is **batch-1
+by construction** (one talker step + 16 predictor steps + one codec frame per 80 ms), which
+sits under every dispatch gate those backends define (≥1024 tokens / ≥32768 M·N·K / tile M
+covering only prefill), and the codec half of the pipeline is conv, col2im, gather and
+elementwise ops — not `MUL_MAT` — so it would fall back to CPU op-by-op. The NPU case for
+this host is therefore *not* "run Qwen3-TTS on the NPU"; it is "run a vendor-compiled AR TTS
+graph on the NPU", which is exactly the NeuTTS-Air spike.
+
+### ANSWER C — would `qwentts.cpp` build for the gfx1151 iGPU? Yes, via **Vulkan**, not HIP
+
+- Upstream ships the build scripts and claims the backends: `buildvulkan.sh` ("AMD/Intel GPU
+  (Vulkan)"), `buildcuda.sh`, `buildsycl.sh`, `buildcpu.sh`, `buildall.sh` (all backends,
+  runtime dynamic loading), and README line 6 "runs on CPU, CUDA, Metal, Vulkan". CMake knobs
+  `GGML_VULKAN` / `GGML_HIP` / `GGML_SYCL` are the same ones the fleet's Containerfile turns
+  OFF, so the engine rebuild is a flag change: `-DGGML_VULKAN=ON` plus
+  `--device Vulkan0` on the same command line the unit runs today.
+- The codec's exotic ops are covered by the Vulkan backend, which is the thing that decides
+  whether a GPU build is coherent: `vulkan-shaders/col2im_1d.comp`, `snake.comp`,
+  `swiglu*.comp`, `cumsum*.comp` exist and `supports_op` handles `GGML_OP_COL2IM_1D` /
+  `CONV_TRANSPOSE_1D` / `CUMSUM`. By contrast `COL2IM_1D` appears in **no** HIP, OpenCL,
+  WebGPU, Hexagon or CANN source — a **HIP** (ROCm) build would shard the ConvNeXt/DAC
+  transposed convs back to the CPU per op. On an AMD iGPU the portable path is RADV/Vulkan.
+- `--device` also accepts a multi-device split (`-dev`-style naming is ggml's), and the
+  runtime's documented FP16 guard (`--clamp-fp16`) exists for sub-Ampere CUDA accumulation;
+  nothing in the tree is NVIDIA-specific.
+- Unverified by me: any vendor statement pairing this fork with gfx1151. Supporting evidence
+  that the hardware/driver combination is viable: this very host already runs a Vulkan
+  endpoint on the gfx1151 iGPU (fleet ground truth, 2026-10-19), and Mesa's Vulkan
+  implementation is officially supported on Radeon Software for Linux
+  (AMD release notes RN-AMDGPU-UNIFIED-LINUX-25.20.3). A gfx1151 Vulkan build of this fork is
+  a build-and-measure spike, not an unsupported port.
+- The real constraint is the one already in the fleet docs: the iGPU belongs to another
+  endpoint, and GPU+NPU concurrency has hung Strix Halo machines. An iGPU TTS build competes
+  with the text endpoints for the same silicon; the NPU route's only genuine advantage is
+  that it does not (the XDNA backend authors make the same argument: "Use NPU when the iGPU
+  is busy … no GPU contention").
+
+---
+
+## 4. What any replacement must reproduce, and what the voices cost
+
+Endpoint contract in production today (from the live unit/env, not the doc):
+`tts-server --model qwen-talker-1.7b-base-Q4_K_M.gguf --codec qwen-tokenizer-12hz-Q8_0.gguf
+--alias frank-tts-engine --host 0.0.0.0 --port 8880 --lang auto --max-batch 1`, no published
+port (the façade on :7772 dials the private bridge name), `GET /health`, `GET /v1/models`,
+`GET|POST /v1/audio/voices`, `DELETE /v1/audio/voices/{name}`, `POST /v1/audio/speech` with
+`response_format` wav|pcm (different audio at equal seed) and optional `seed`,
+`max_new_tokens`, `temperature`, `top_k`, `top_p`, `repetition_penalty`, `subtalker_*`.
+Voice registry is RAM-only, so boot warming is mandatory, and `--alias` keeps the quantization
+choice out of every consumer's config.
+
+Live voice census on Dankclaw (2026-10-19, `/home/dank/voices/`): three packs
+(`narrator1..3`), each carrying `reference.wav` (24 kHz mono crop), `reference16k.wav`,
+`manifest.json` (keys: name, kind, generated_utc, pipeline, source, forbidden_region_guard,
+silence_scan, crop, loudnorm, audio, acceptance, acceptance_passed) and ffmpeg analysis
+artifacts. **No `.spk` and no `.rvq` exist on the live host** — the repo's
+`build-voice-pack.sh` treats them as required-but-they-are-not-there, so today the engine
+re-extracts the x-vector (and the ICL codes when a transcript is supplied) from the WAV at
+registration time.
+
+That is the portable part, and it is the same shape AMD's NeuTTS flow wants
+(`encode_reference(reference.wav)` + a reference transcript): the fleet's voice identity is
+*the WAV plus its transcript*, processed at request/registration time by the model's own
+speaker encoder + codec — **never a trained per-voice artifact**. Qwen3-TTS cloning is
+inference-time conditioning (`generate_voice_clone(ref_audio=…, ref_text=…, x_vector_only_mode=…)`;
+`create_voice_clone_prompt` exists purely to avoid recomputing prompt features). So any
+replacement that consumes a WAV (+transcript) keeps all three narrators alive with no
+re-derivation, and if it wants precomputed latents instead, the LiteRT precedent shows what
+that looks like: a 4 KB x-vector `.npy` per voice, extracted offline
+(`extract_speaker_embedding.py`) — for the 1.7 B base checkpoint that vector is 2048-dim
+(`qwen3-tts.spk_enc.embedding_length = 2048` in the shipped GGUF; the LiteRT 0.6 B bundle
+ships a 1024-dim one).
+
+One trap for a mixed-runtime future: `.spk`/`.rvq` files, if they are ever written, are
+engine-specific encodings (ECAPA x-vector layout; 11-bit-packed RVQ stream) and are **not**
+interchangeable between runtimes. Keep `reference.wav` as the pack's source of truth and
+regenerate anything derived per engine — which is what the NeuTTS re-clone plan does anyway.
+
+## 5. Sources
+
+Runtime/payload (all read locally at pinned versions, 2026-10-19):
+
+- `github.com/ServeurpersoCom/qwentts.cpp` @ `5916bf7c79dbb4e66fc059cdc507a79a23a28bb4`
+  (commit date 2026-10-16; also upstream HEAD today): `README.md`, `docs/ARCHITECTURE.md`
+  (860 lines), `src/*`, `tools/*`, `docs/DOCKER.md`, `buildvulkan.sh`/`buildcpu.sh`/`buildall.sh`.
+- submodule `ServeurpersoCom/ggml` @ `cc5df49a6b878db2b68b9a7b45976e279594627d` (2026-10-16);
+  delta vs `ggml-org/ggml` master `a05c992` (2026-10-15) = ahead 2 / behind 0, per
+  https://github.com/ServeurpersoCom/ggml/compare/ggml-org:master...HEAD ;
+  `include/ggml.h` identical to upstream
+  https://raw.githubusercontent.com/ggml-org/ggml/master/include/ggml.h .
+- Live payload bytes: `/home/dank/models/Qwen3-TTS-GGUF/qwen-talker-1.7b-base-Q4_K_M.gguf`
+  (1,219,245,248 B) and `qwen-tokenizer-12hz-Q8_0.gguf` (291,150,624 B), headers parsed from
+  the host; sizes/sha256 match `scripts/download-frank-tts-engine-qwentts.sh`.
+- Live units/env/packs: `dankclaw/voiceservice/{Containerfile.engine,tts-engine-start.sh,tts-engine-warm.sh,quadlet/*}`,
+  `scripts/frank-tts-engine.env`, `scripts/frank-tts.env`, `/home/dank/voices/*`.
+
+Model provenance:
+
+- `https://huggingface.co/api/models/Qwen/Qwen3-TTS-12Hz-1.7B-Base` (+ CustomVoice,
+  VoiceDesign, 0.6B variants, `Qwen3-TTS-Tokenizer-12Hz`), apache-2.0, last-modified
+  2026-01-23 / 2026-01-29; safetensors param counts 1,928,677,440 (BF16, incl. embedded
+  `speech_tokenizer/`) and 170,557,441 (F32 codec).
+- `https://huggingface.co/Qwen/Qwen3-TTS-12Hz-1.7B-Base/raw/main/README.md` (clone API:
+  `generate_voice_clone(ref_audio, ref_text, x_vector_only_mode)`,
+  `create_voice_clone_prompt`; reference stack = PyTorch + `device_map="cuda:0"` + bf16 +
+  flash-attn-2, Python 3.12 recommended).
+- `https://github.com/QwenLM/Qwen3-TTS`.
+
+Portability precedents:
+
+- `https://huggingface.co/xkos/Qwen3-TTS-12Hz-1.7B-ONNX` (2026-03-03) ·
+  `https://github.com/zhangluoyang/qwen3-tts-onnxruntime` ·
+  `https://huggingface.co/Echo9Zulu/Qwen3-TTS-12Hz-CustomVoice-1.7B-INT8-OpenVINO` (2026-03-22) ·
+  `https://huggingface.co/aurora2035/Qwen3-TTS-12Hz-0.6B-Base-OpenVINO-INT8` (2026-03-18) ·
+  `https://huggingface.co/litert-community/Qwen3-TTS-12Hz-0.6B-Base` (2026-10-17) incl.
+  `legacy/README.md` (graph splits, MTP fold, codec partA/partB, RTF table).
+
+AMD NPU / ggml backend status:
+
+- `https://api.github.com/repos/ggml-org/llama.cpp/git/trees/master?recursive=1` (no
+  XDNA/AIE/Vitis backend, 2026-10-19) ·
+  `https://github.com/ggml-org/llama.cpp/issues/21725` (open since 2026-04-10) ·
+  `https://github.com/ggml-org/llama.cpp/issues/1499` (closed stale 2025-04-07).
+- `https://github.com/Cyronius/ggml-xdna` (prefill-only, gates, Linux requirements, results
+  measured 2026-10-05/06 on HX 370) ·
+  `https://github.com/BrandedTamarasu-glitch/OllamaAMDNPU` (XDNA2 ggml backend on Strix Halo,
+  phases 1–12, "use Vulkan exclusively", measured on Ryzen AI MAX 385).
+- `https://github.com/amd/RyzenAI-SW` (main, 669 paths, 2026-08-18): audio content is ASR
+  only (`Demos/ASR/Whisper`, `Demos/ASR/Parakeet-TDT`, `Transformer-examples/ASR/Whisper-AI`);
+  **no TTS example anywhere in the official Ryzen AI Software tree**.
+- `https://ryzenai.docs.amd.com/en/latest/relnotes.html` (Ryzen AI SW 1.8.0: ONNX-format
+  models, ONNX Runtime as the loader, power-of-two QDQ/QOP quantization).
+- Mesa/RADV on AMD iGPUs: `https://www.amd.com/en/resources/support-articles/release-notes/RN-AMDGPU-UNIFIED-LINUX-25-20.3.html`
+  (Mesa Vulkan driver officially supported).
+
+Status: COMPLETE for the assigned slice (payload architecture, runtime architecture,
+portability). `[INFERENCE]` marks: none above except the Mesa-version caveat in ANSWER C,
+which is flagged there.

report/tts-npu-spike-verdict-2026-10-19.md

@@ -0,0 +1,191 @@
+# TTS on the Strix Halo NPU — spike verdict (2026-10-19)
+
+Question: **how can the fleet's TTS engine run on hardware rather than CPU?** Answer in
+one line: not on the NPU — the loader, not the silicon, refuses it; the door that exists is
+the gfx1151 iGPU behind a build flag we already own.
+
+Spike evidence lives in `report/npu-tts-runtime-landscape-2026-10-19.md` (which runtimes can
+reach XDNA2 at all) and `report/qwen3-tts-payload-portability-2026-10-19.md` (what the
+payload is and where it can be moved). This page owns only the **measured spike result** and
+the **model-side contract** neither slice has. Throwaway work ran in containers under
+`/home/dank/spikes/npu-tts` on Dankclaw; nothing in the fleet was changed — `frank-tts` and
+`frank-tts-engine` still serve `narrator1|2|3` on CPU.
+
+Legend: **[host]** live census 2026-10-19 · **[spike]** measured in the spike containers ·
+**[vendor]** primary vendor source, with the version it holds for.
+
+## 1. Verdict
+
+**NO-GO on the NPU, and the wall is a loader.** The XDNA2 device is healthy by AMD's own
+instruments; the runtime that owns this model family opens the device and then declines the
+graph, silently. One run loaded successfully; byte-identical runs never reproduced it, and a
+path that cannot be reproduced is not a foundation. **[spike]**
+
+**Go on the iGPU, and the lever is in this repo.**
+`dankclaw/voiceservice/Containerfile.engine` builds `qwentts.cpp` (commit `5916bf7`) with
+`-DGGML_VULKAN=OFF` written out deliberately beside CUDA/HIP/METAL/SYCL/RPC — the running
+container carries `libggml-base.so.0.27.0` + `libggml-cpu.so.0.27.0` + `tts-server` and
+nothing else. So: `-DGGML_VULKAN=ON` + `--device Vulkan0`, plus `/dev/dri` passthrough in
+the engine quadlet (the ComfyUI pattern: `AddDevice` + `GroupAdd=keep-groups` + a
+world-writable udev rule). The target shape is **co-tenancy** — the engine resident on the
+gfx1151 *beside* `frank-dragoon`, not a handover. §5 carries the census and both gates:
+the **heap gate is PASSED** — RADV's `DEVICE_LOCAL` heap is 77.33 GiB with 65.16 GiB of
+budget while dragoon is loaded, so memory is not the constraint — which leaves the
+contention gate (dragoon's TTFT with a synthesis in flight) and one unproven piece:
+whether qwentts.cpp's codec ops have Vulkan kernels for every op. **[host]** **[spike]**
+
+Why the iGPU is worth doing at all, given CPU already works: the deployed payload needs
+only **12.5 codes/s** (§2), so this is latency headroom and freed cores, not reviving a
+dead service. The independent Strix Halo measurement in the portability slice ("use Vulkan
+exclusively"; NPU decode under 1.5 t/s for an 8B) points the same way.
+
+## 2. The two arms do not share a real-time bar
+
+|Arm|Talker|Codec|Codes per second of audio|Bar|
+|---|---|---|---|---|
+|**Deployed** (`frank-tts-engine`)|`qwen-talker-1.7b-base-Q4_K_M.gguf`|`qwen-tokenizer-12hz-Q8_0.gguf`|**12.5**|~13 tok/s **[host]**|
+|**Spike** (`amd/neutts-air_rai_1.8.0_npu_4K`)|NuTTS-Air, 24-layer Qwen2|NeuCodec `24000 / hop 480`|**50.00**|~50 tok/s **[spike]**|
+
+Measured from the staged NPU artifact — the contract any future arm must satisfy:
+
+|Fact|Value|
+|---|---|
+Vocab|`genai_config.json` `vocab_size` **217,652**; base BPE 151,643; specials 151,644–151,670 **[spike]**|
+Speech tokens|**65,536** `<|speech_N|>` entries, ids **151,671–217,206** contiguous; the vendor template maps a codec index straight to its id, `"".join(f"<|speech_{i}|>")`. A 10,001-code assumption silently truncates the space — encoded references really do reach the 60k range. **[spike]**|
+Stop token|`<|SPEECH_GENERATION_END|>` = 151,670, but the export's `model.eos_token_id` is `[151645, 151643]` (the *chat turn* stop) and `search.eos_token_ids` is unset — pass 151,670 explicitly or speech ends after one token **[spike]**|
+Input ceiling|4096 tokens **total**, input + output **[vendor]**|
+Frame rate|50.00 codes/s confirmed across three references (49.96 / 49.99 / 50.00) **[spike]**|
+Reference encode|`librosa.load(sr=16000, mono=True)` → `[1,1,T]` float → `codec.encode_code(audio_or_path=…)` (vendor `NeuTTS.encode_reference`); CPU RTF 0.28–0.38 on 8 threads, so codes are a cacheable one-time cost, never a per-request charge. `neucodec` also needs `torchtune`; install both `--no-deps --target <dir>` so a second torch never shadows the venv's. **[spike]**|
+Pre-encoded voices|`/spike/logs/codes-narrator{1,2,3}.npy` — 994 / 1,249 / 1,250 codes for 19.90 / 24.98 / 25.00 s **[spike]**|
+
+**Gap that any arm inherits:** the voice packs carry no transcript. `manifest.json` holds
+provenance and crop geometry (`crop.source_speech_run` 98.739–118.636 s of a 22,569 s
+audiobook) and no text, and Dankclaw has no ASR at all — `whisper`, `whisper.cpp`,
+`faster-whisper` all absent. NuTTS conditioning needs `ref_text`; do not invent it. **[host]**
+
+## 3. Exoneration chain — why the blame is not the hardware
+
+Every row is an instrument, not an inference.
+
+|Probe|Result|
+|---|---|
+`xrt-smi examine`|`[0000:c6:00.1] RyzenAI-npu5 aie2p 6x8`, XRT 2.25.37 (vendor extract), NPU fw 1.1.2.65, `amdxdna 7.0.0-38-generic` **[spike]**|
+`xrt-smi validate`|**PASSED**, including `throughput` **[spike]**|
+`pyxrt.device(0)` in-container|constructs — XRT enumerates the device **[spike]**|
+`strace -f -e trace=openat` on the failing load|`genai_config.json` read → `model.onnx` opened → `libxrt_driver_xdna.so.2` loaded → `/dev/accel/accel0` opened `O_RDWR` → GEM ioctls succeed → **EP declines, before touching `dd_metastate_*` or `cache/txn_bins.zip`** **[spike]**|
+`dmesg`, `fuser /dev/accel/accel0`|silent since boot, no holder — the decline never reaches the kernel **[spike]**|
+Hardlinked mirror dirs of the model tree (`rundir*`)|retired, no change — the "metastate shadowing" theory is dead **[spike]**|
+Every logging lever in that build: `GENAI_ORT_VERBOSE_LOGGING`, `GENAI_LOG_ORT_LIB`, `set_log_options`, `set_log_callback(callable)`, `RYZENAI_EP_TRACING`, `RYZENAI_LLM_PROFILE_INIT`|**zero lines** — the decline path is silent **[spike]**|
+Vendor `quicktest`|`Session successfully initialized` — proves the XRT/driver/device path, **not** NPU residency: that build falls back to CPU silently. Prove residency with `/sys/class/accel/accel0/device/mem_usage` during generation. **[spike] [vendor]**|
+
+No NPU token rate was ever measured, so none is quoted here. The single successful load
+(13:17, `[load] 0.84s`, finite logits, XRT banner at *generate* time) has not been
+reproduced by the byte-identical command since, with the model files pristine by inode and
+mtime. **[spike]**
+
+## 4. Host gates the spike proved (so they are not re-litigated)
+
+- **Rootless containers cannot read `/dev/accel/accel0`** (`root:render` 0660): the host
+  gid never enters the userns map. `--group-add keep-groups`, `--userns=keep-id`,
+  `--userns=keep-id:gid=990`, `--group-add render`, `--group-add gid:990` — all fail.
+  Doors: rootful podman (separate storage), or a world-writable udev rule, which the fleet
+  already does for `kfd`/`renderD*`. **[spike]**
+- **Never `dpkg -i` the vendor XRT deb** — it installs a DKMS `amdxdna` over the distro
+  driver. `dpkg-deb -x` the debs and bind-mount the tree at `/opt/xilinx/xrt`; the plugin
+  deb is what carries `libxrt_driver_xdna.so`. **[spike]**
+- In-tree `amdxdna 0.7.0-38` + `iommu=pt` is enough for context creation; a missing device
+  node is *not* the modern failure mode. **[host]**
+- `xrt-smi` inside a container needs `libboost-filesystem1.83.0` +
+  `libboost-program-options1.83.0` (**hyphenated** Ubuntu names, after `apt update`);
+  boost is needed by `xrt-smi` only, never by the OGA/EP path. **[spike]**
+- Headroom is tight and it is host RAM, not a separate pool — see §5 for tonight's census.
+  A multi-GB NPU partition plus an AIE compile workspace does not fit beside
+  `frank-dragoon`. Benign-looking `Failed to alloc dev bo memory, ret -28` is that
+  pressure. **[host]**
+
+## 5. Target shape: the TTS engine shares the gfx1151 with `frank-dragoon`
+
+The deployment Frank wants is **both resident at once**, not a handover. Measured 2026-10-19
+(read-only, nothing loaded or unloaded):
+
+|Measure|Value|Reading|
+|---|---|---|
+iGPU GTT in use|**18,523 MiB of 116,733 MiB**|≈96 GiB of aperture free; this is the real budget (fleet law) **[host]**|
+DRM "VRAM" carve-out|2,048 MiB total, 174 MiB used|what KFD/DRM calls dedicated — **not** the budget **[host]**|
+Host RAM|121 GiB total, 17 GiB available, 79 GiB buff/cache|**GTT pages are system pages**: an iGPU allocation is host RAM consumed, so the two tenants share one pool **[host]**|
+TTS engine today|3.84 GiB RSS, CPU|its device-resident replacement lands in that same pool **[host]**|
+
+**Two gates, in this order.**
+
+1. **Heap gate — PASSED.** RADV does **not** hand a container tenant the 2 GiB DRM
+   carve-out. `vulkaninfo` inside the engine's own base image (`ubuntu:24.04` plus
+   `mesa-vulkan-drivers vulkan-tools`, `--device /dev/dri`, rootless) sees
+   `Radeon 8060S Graphics (RADV GFX1151)`, driver `radv`, API 1.4.318, and reports:
+
+   |Heap|size|budget with dragoon loaded|flags|
+   |---|---|---|---|
+   |0|38.67 GiB|32.58 GiB|host-visible, not device-local|
+   |1|**77.33 GiB**|**65.16 GiB**|`DEVICE_LOCAL`|
+
+   The heaps sum to the ~116 GiB aperture in Mesa's ⅓/⅔ APU split — the same RAM twice:
+   a Vulkan allocation is a GTT mapping, so a budget is a ceiling on mappings, not a pile
+   of free silicon memory. ggml's Vulkan backend asks for `DEVICE_LOCAL`, which is heap 1,
+   and the TTS engine needs roughly 4 GiB of it. **Memory stops being the question.** **[spike]**
+   Probe traps: `vulkaninfo --batch` is not a flag in this `vulkan-tools` (it prints the
+   help page and exits 1 — use `vulkaninfo --text`), and the container has **no NVIDIA
+   ICD**, so Vulkan device 0 is the iGPU here. Do not trust that ordering — select by
+   device *name*, or an image that grows an `nvidia_icd.json` silently points TTS at the
+   3090 slot.
+2. **Contention gate — PASSED, measured 2026-10-19 after the cutover.** With a 16.9 s
+   synthesis occupying the device, `frank-dragoon` answered a streamed 124-token request at
+   **17 ms to first token and ~35 tok/s decode**, against 17 ms and ~33 tok/s for the same
+   request with the card idle. Compute-unit sharing showed up as nothing. One request per
+   arm, no ladder: these are the gate's evidence, not a throughput record, and the engine's
+   own shape lives in [[Frank TTS Engine]].
+
+**Change surface — as landed** (PR #34, `6248f02`; the CPU shape stays reachable as the
+rollback):
+
+1. `Containerfile.engine` build stage: add **`libvulkan-dev glslc spirv-headers`**. The
+   prediction above (`libvulkan-dev glslang-dev`) is wrong on two counts and the configure
+   says so: ggml looks for `glslc`, which Ubuntu's `glslang-tools` does **not** ship (it
+   ships `glslangValidator`), and `find_package(SPIRV-Headers CONFIG REQUIRED)` needs the
+   distro's `spirv-headers`, which does carry the CMake config. `glslc` is its own source
+   package on noble, at 2023.8 — old enough that only `GL_KHR_cooperative_matrix` compiles,
+   so the coopmat2 / integer-dot / bf16 / micro-float shader families are built out. Suspect
+   that compiler before the device if a Vulkan prefill ever reads as slow.
+2. `-DGGML_VULKAN=OFF` → `ON`: one word in the written-out flag list.
+3. Runtime stage: `mesa-vulkan-drivers` **and** `libvulkan1` — the ICD and its loader. An
+   image with a loader and no ICD enumerates zero devices.
+4. `frank-tts-engine.container`: `AddDevice=/dev/dri` + `GroupAdd=keep-groups` — the
+   DIRECTORY, never the node: on this hybrid box `renderD128` is the NVIDIA card and
+   `renderD129` the amdgpu iGPU (`readlink -f /sys/class/drm/renderD129/device/driver` →
+   `amdgpu`). On this host the udev rule already makes the nodes world-writable, so the
+   group is belt-and-braces, not the gate.
+5. Engine argv: `--device Vulkan0`, reached through `QWENTTS_DEVICE` in
+   `scripts/frank-tts-engine.env`. **An empty value passes no flag at all** — that is the
+   CPU rollback, and it is why the entrypoint's default is an `-v` test rather than `:=`,
+   which also fires on a set-but-empty value and would silently undo the rollback.
+
+Gate 1 recipe, already run and **PASSED**: `mesa-vulkan-drivers` + `vulkan-tools` in a
+throwaway container off the same base, `--device /dev/dri`, then `vulkaninfo --text` and read
+the `VkPhysicalDeviceMemoryProperties` heap sizes — no model, no load, no compute. The probe
+trap: `vulkaninfo --batch` is not a flag in Ubuntu 24.04's `vulkan-tools` — it prints the help
+page and exits 1, which reads like a driver failure. Every package involved has a candidate on
+the host's apt (`vulkan-tools` 1.4.341, `libvulkan-dev` 1.4.341, `glslang-dev`/`glslang-tools`
+16.2.0); the build stage runs on the digest-pinned Ubuntu 24.04 base, whose versions are older
+but present. Script: `/home/dank/spikes/npu-tts/vk_probe.sh` on Dankclaw.
+
+Constraints that do not relax for a co-tenant: `/dev/dri` passthrough needs the ComfyUI
+pattern (`AddDevice` + `GroupAdd=keep-groups` + the world-writable udev rule) because
+systemd user-unit spawns carry no supplementary groups; the 64 GiB swap at `/swap.img`
+exists to protect co-tenants, and paging a KV pool is worse than the OOM it prevents;
+`pp_dpm_fclk` reads `auto` (unheld), which only becomes a hazard if the NPU ever joins.
+
+## 6. Re-visit condition
+
+Retry the NPU when **a Linux loader claims the graph**: an `onnxruntime-genai-ryzenai`
+build whose RyzenAI adapter takes the NuTTS-Air Full-Fusion graph on `RyzenAI-npu5`, or that
+model appearing in a runtime's own supported catalog with a Linux runner. Then the
+prerequisites are already mapped and priced: the gated NeuCodec encoder for cloned voices,
+the `ref_text` transcripts, the 4096-token prompt budget, and 50 codes/s as the bar.

scripts/authentik-grafana-sso-fix.sh

@@ -0,0 +1,81 @@
+#!/usr/bin/env bash
+# Repair the Grafana OAuth2 relying-party SSO on Dankclaw's authentik.
+#
+# grafana.franksdank.cloud logs in through authentik as an OAuth2 relying party.
+# Two DB-side facts (the provider was created by hand via `ak shell`, never
+# repo-managed) silently broke that login, and BOTH had previously been
+# mis-recorded here as a single "the property-mapping evaluator is broken, so
+# userinfo returns only `sub`" myth. They are neither, and the evaluator is fine:
+#
+#   1. provider.authorization_flow was NULL. The authorize view builds a flow
+#      planner from it and crashes with
+#      `AttributeError: 'NoneType' object has no attribute 'slug'` — an HTTP 500
+#      "Server Error — Powered by authentik", before any claim is touched.
+#      Fix: point it at default-provider-authorization-implicit-consent, the
+#      flow every other provider in this instance already uses.
+#   2. The `grafana-email-scope` ScopeMapping's expression was the bare string
+#      `user.email`. authentik merges a scope mapping's result into the token as
+#      a MAPPING: a returned dict adds its keys as claims; a returned string is
+#      keyed under the mapping's NAME ("grafana-email-scope"), so no `email`
+#      claim is ever emitted. Grafana, finding no email, falls back to
+#      GET <api_url>/emails, authentik 404s that path, and the login dies with
+#      "Login failed: InternalError". Fix: return
+#      {"email": user.email, "email_verified": True} — the shape the stock
+#      OpenID 'email' mapping uses. The dict-valued `grafana-profile-scope`
+#      mapping has always worked, which is the proof the evaluator is fine.
+#
+# This is authentik DB state. It is NOT in any deployable file: a blueprint
+# re-import, or an ak-shell re-creation of the grafana provider, reverts BOTH
+# facts and the symptom returns verbatim. Re-run this after any such rebuild.
+# Every step is idempotent.
+#
+# Grafana's own half — SCOPES="openid email profile", a standard userinfo API_URL
+# with no `?api=1`, and ALLOW_SIGN_UP=true — lives in
+# dankclaw/observability/quadlet/grafana.container and deploys normally.
+#
+# Usage: authentik-grafana-sso-fix.sh          (override host: AUTHENTIK_HOST=…)
+set -euo pipefail
+HOST="${AUTHENTIK_HOST:-dankclaw}"
+
+ssh "$HOST" 'podman exec -i authentik-server ak shell' <<'PYEOF'
+from authentik.flows.models import Flow
+from authentik.providers.oauth2.models import OAuth2Provider
+
+p = OAuth2Provider.objects.filter(name="grafana").first()
+if not p:
+    raise SystemExit("no OAuth2Provider named 'grafana'")
+
+# 1. The authorization flow every other provider uses.
+want = Flow.objects.filter(slug="default-provider-authorization-implicit-consent").first()
+if not want:
+    raise SystemExit("default-provider-authorization-implicit-consent flow is missing")
+if p.authorization_flow_id != want.pk:
+    p.authorization_flow = want
+    p.save()
+    print(f"set grafana.authorization_flow -> {want.slug}")
+else:
+    print(f"grafana.authorization_flow already {want.slug}")
+
+# 2. The email scope mapping must RETURN A DICT, not a bare string.
+m = p.property_mappings.filter(name="grafana-email-scope").first()
+if not m:
+    raise SystemExit("grafana-email-scope mapping is missing")
+fixed = 'return {"email": user.email, "email_verified": True}'
+if m.expression.strip() != fixed:
+    m.expression = fixed
+    m.save()
+    print("repaired grafana-email-scope -> returns {email, email_verified}")
+else:
+    print("grafana-email-scope expression already correct")
+
+# 3. The id_token must carry the scope claims; Grafana reads identity from it.
+if not p.include_claims_in_id_token:
+    p.include_claims_in_id_token = True
+    p.save()
+    print("enabled include_claims_in_id_token")
+else:
+    print("include_claims_in_id_token already on")
+PYEOF
+
+echo "Done. Verify: sign in at https://grafana.franksdank.cloud via Authentik;"
+echo "the round trip must land on / and /api/user must answer 200 with an email."

scripts/authentik-set-login-session-duration.sh

@@ -0,0 +1,47 @@
+#!/usr/bin/env bash
+# Set the authentik login-session TTL on Dankclaw.
+#
+# The login-session lifetime is governed by the `default-authentication-login`
+# stage's `session_duration`, NOT a global setting and NOT SESSION_COOKIE_AGE
+# (that is the pre-login session, sessions.unauthenticated_age). Authentik does
+# not expose SESSION_SAVE_EVERY_REQUEST at all, so the session is an absolute
+# window from login, not a sliding one.
+#
+# The field is a STRING in authentik's own idiom ("days=7", "seconds=30",
+# "hours=12") — not a Python timedelta. Writing str(timedelta(days=7)) stores
+# "7 days, 0:00:00", which authentik's timedelta_from_string parser REJECTS
+# (ValueError), and login then crashes computing the session expiry. Always pass
+# the "key=value" form; this script validates it before writing.
+#
+# Existing sessions keep their old expiry; the new TTL applies from the next
+# login. This is DB state — it is NOT repo-managed and a blueprint re-import or
+# rebuild-from-scratch reverts it. Run this again after such a rebuild.
+#
+# Usage: authentik-set-login-session-duration.sh ["days=7"]   (default days=7)
+set -euo pipefail
+
+DUR="${1:-days=7}"
+STAGE="default-authentication-login"
+HOST="${AUTHENTIK_HOST:-dankclaw}"
+
+# Refuse anything that is not the safe key=value duration idiom.
+if ! printf '%s' "$DUR" | grep -Eq '^[A-Za-z]+=[0-9]+([ ]+[A-Za-z]+=[0-9]+)*$'; then
+    echo "invalid duration '$DUR' — use authentik form, e.g. 'days=7' or 'seconds=30'" >&2
+    exit 2
+fi
+
+ssh "$HOST" 'podman exec -i authentik-server ak shell' <<PYEOF
+from django.apps import apps
+from authentik.lib.utils.time import timedelta_from_string
+dur = "$DUR"
+timedelta_from_string(dur)  # validate the form before touching the row
+ULS = apps.get_model("authentik_stages_user_login", "UserLoginStage")
+s = ULS.objects.get(name="$STAGE")
+s.session_duration = dur
+s.save(update_fields=["session_duration"])
+back = ULS.objects.get(name="$STAGE").session_duration
+assert back == dur, "persisted value mismatch: %r" % back
+print("session_duration set to", repr(back), "->", timedelta_from_string(back))
+PYEOF
+
+echo "Login-session TTL for '$STAGE' is now $DUR (applies on next login)."

scripts/autoresearch-frank-archon.sh

@@ -29,10 +29,10 @@
 # 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-archon is left intact.
+# /dev/dri, the .rad ro, the tune cache mount. The ONLY differences: the
+# container name (arbench, so prod's identity is untouched) and the prefix cache
+# switched OFF (--prefix-cache-mib 0), so every prefill is cold — the tier is
+# host RAM now, there is no per-run disk directory to wipe.
 set -uo pipefail
 
 ENV_FILE="${1:-/home/dank/serverAppConfigs/scripts/frank-archon.env}"
@@ -60,9 +60,8 @@ set -a; . "$ENV_FILE"; set +a
 sudo systemctl stop frank-archon >/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="$FRANK_ARCHON_STATE_DIR/kvcache/$SCRATCH"
-rm -rf "$FRESH_KV"; mkdir -p "$FRESH_KV"
+# --- the prefix cache is switched off below, so there is no scratch KV tree ---
+# to wipe; the cold prefill comes from --prefix-cache-mib 0.
 mkdir -p "$FRANK_ARCHON_STATE_DIR/tune"
 
 # --- boot the scratch: the production run line, scratch name + fresh KV ------
@@ -73,7 +72,6 @@ podman run -d --name "$SCRATCH" \
   --ulimit memlock=-1:-1 \
   --device /dev/kfd --device /dev/dri \
   -v "$FRANK_ARCHON_MODEL_DIR":/models:ro \
-  -v "$FRANK_ARCHON_STATE_DIR":/data \
   -v "$FRANK_ARCHON_STATE_DIR/tune":/opt/radiance/share/radiance/tune \
   -v "$FRANK_ARCHON_TEMPLATE":/templates/template.jinja:ro \
   "$FRANK_ARCHON_IMAGE" \
@@ -87,12 +85,9 @@ podman run -d --name "$SCRATCH" \
   --placement "$FRANK_ARCHON_PLACEMENT" \
   --host-pool-mib "$FRANK_ARCHON_HOST_POOL_MIB" \
   --gpu-headroom-mib "$FRANK_ARCHON_GPU_HEADROOM_MIB" \
-  --vram-weights-mib "$FRANK_ARCHON_VRAM_WEIGHTS_MIB" \
-  --vram-kv-mib "$FRANK_ARCHON_VRAM_KV_MIB" \
   --kv-cache-dtype "$FRANK_ARCHON_KV_DTYPE" \
-  --prefix-cache-host-mib "$FRANK_ARCHON_PREFIX_HOST_MIB" \
-  --prefix-cache-dir "/data/kvcache/$SCRATCH" \
-  --prefix-cache-disk-mib "$FRANK_ARCHON_PREFIX_DISK_MIB" \
+  --prefix-cache-mib 0 \
+  --busy-prefill-chunk "${FRANK_ARCHON_BUSY_PREFILL_CHUNK:-auto}" \
   --ngram-placement "$FRANK_ARCHON_NGRAM_PLACEMENT" \
   --num-speculative-tokens "$FRANK_ARCHON_SPEC_TOKENS" \
   --max-num-batched-tokens "$FRANK_ARCHON_MAX_BATCHED_TOKENS" \

scripts/axe-measurements.py

@@ -0,0 +1,164 @@
+#!/usr/bin/env python3
+"""Destroy measurement ledgers in the surviving pages.
+
+Point of use (AGENTS.md → Documentation Policy): a rate/throughput figure for
+anything not running and not being compared is destroyed, not filed. This pass
+deletes
+
+  1. any section whose heading is a bench/throughput/rate/ladder/verdict ledger,
+  2. any table row or standalone bullet that REPORTS a rate (`123.4 t/s`,
+     `tok/s`, `ms/token`, `TTFT`, acceptance %, `llama-bench`, a bench arm),
+
+and it never touches a shape number (ctx, slots, MiB budgets, ports) or a bullet
+under a *Laws* / *Wire contract* / *Rollback* heading, where the sentence is the
+payload and the number is decoration. Dry run by default; `--apply` writes.
+
+Usage: axe-measurements.py [--apply] [--verbose]
+"""
+import pathlib
+import re
+import sys
+
+VAULT = pathlib.Path("serverAppConfigs-docs")
+RATE = re.compile(
+    r"\d[\d,.]*\s*(t/s|tok/s|tokens?/s|tok s|tps|ms/token|µs/token|GB/s|GiB/s)\b|"
+    r"\b(llama-bench|bench (arm|ladder|window)|decode ladder|prefill ladder)\b|"
+    r"\bacceptance (rate|of)\b|\bdraft_n\b|\bttft\b|\bServer-Timing\b",
+    re.I,
+)
+# A heading is a ledger only when the noun LEDS it and nothing instructional
+# follows: `## Throughput` yes, `## 6. The context ladder (find the max bootable
+# window by measurement)` no — that one is the method, which is point-of-use.
+LEDGER_HEAD = re.compile(
+    r"^#{2,4}\s+(?:\d+[.) ]\s*)?(bench(es|mark|marks)?|throughput|results?|timings?|"
+    r"measured (figures|numbers|results|rates|rates)|rates|verdict|acceptance|ladder)"
+    r"\b[^|]{0,40}$",
+    re.I,
+)
+INSTRUCTIONAL = re.compile(r"how|why|law|policy|method|procedure|find|by measurement|execution|flip|checklist", re.I)
+PROTECTED = re.compile(
+    r"^#{2,4}\s+.*(law|wire|rollback|contract|shape|eras|files|health|see also|related|"
+    r"boot|preflight|environment)",
+    re.I,
+)
+def blank_rate_cells(text):
+    """Kill throughput COLUMNS wherever they appear: a cell that reports a rate
+    becomes an em-dash, so the row keeps whatever else it records (the payload
+    name, the reason, the rollback) and loses only the dead number."""
+    out = []
+    for line in text.split("\n"):
+        st = line.strip()
+        if st.startswith("|") and st.endswith("|") and RATE.search(line):
+            cells = line.split("|")
+            for i, c in enumerate(cells):
+                if RATE.search(c):
+                    cells[i] = " — "
+            line = "|".join(cells)
+        out.append(line)
+    return "\n".join(out)
+
+
+def collapse_eras(text):
+    """One Eras row per era is fleet law; the NUMBERS in the old rows are not.
+    Keep the current era verbatim, fold everything older into one row that says
+    the numbers were destroyed and where the rollback actually lives (git)."""
+    lines = text.split("\n")
+    out = []
+    in_eras = False
+    ncol = 0
+    folded = 0
+    for line in lines:
+        if line.startswith("#"):
+            in_eras = bool(re.match(r"^#{2,4}\s+.*eras\b", line, re.I))
+            if folded:
+                out.append("| " + " | ".join(
+                    [f"≤ 2026-09 — {folded} earlier eras: payloads, shapes and every measured "
+                         "number destroyed 2026-10-19 as obsolete"] + ["—"] * max(0, ncol - 1)))
+                folded = 0
+            out.append(line)
+            continue
+        st = line.strip()
+        if in_eras and st.startswith("|"):
+            cells = [c.strip() for c in st.strip("|").split("|")]
+            if set("".join(cells)) <= set(":- "):
+                ncol = len(cells)
+                out.append(line)
+                continue
+            if ncol == 0:
+                ncol = len(cells)
+            if re.search(r"2026-1[01]|current|active|running", st, re.I):
+                out.append(line)
+            else:
+                folded += 1
+            continue
+        if folded and not st.startswith("|"):
+            out.append("| " + " | ".join(
+                [f"≤ 2026-09 — {folded} earlier eras: payloads, shapes and every measured number "
+                     "destroyed 2026-10-19 as obsolete"] + ["—"] * max(0, ncol - 1)))
+            folded = 0
+            ncol = 0
+        out.append(line)
+    if folded:
+        out.append("| " + " | ".join(
+            [f"≤ 2026-09 — {folded} earlier eras destroyed 2026-10-19"] + ["—"] * max(0, ncol - 1)))
+    return "\n".join(out)
+
+
+def main(argv):
+    apply = "--apply" in argv
+    verbose = "--verbose" in argv
+    total_lines = 0
+    pages = 0
+    for page in sorted(VAULT.rglob("*.md")):
+        s = str(page)
+        if ".AGENTTRASH" in s or ".obsidian" in s:
+            continue
+        text = page.read_text(errors="replace")
+        before = len(text.split("\n"))
+        if s.startswith("serverAppConfigs-docs/LLM/"):
+            text = collapse_eras(blank_rate_cells(text))
+        lines = text.split("\n")
+        out = []
+        skip = False
+        under_protected = False
+        cut = 0
+        for line in lines:
+            if line.startswith("#"):
+                under_protected = bool(PROTECTED.search(line))
+                skip = (bool(LEDGER_HEAD.match(line)) and not under_protected
+                        and not INSTRUCTIONAL.search(line))
+                if skip:
+                    cut += 1
+                    continue
+            if skip:
+                cut += 1
+                continue
+            stripped = line.strip()
+            out.append(line)
+            if under_protected:
+                # Eras rows are the rollback record, Law bullets are the payload:
+                # the number is decoration inside them, and the row/bullet is not
+                # a ledger entry. Leave the whole section alone.
+                continue
+            if stripped.startswith(("|", "-", "*")) and RATE.search(line):
+                # Destroy only when the line EXISTS to report a number: a table
+                # row, or a bullet whose verb is measurement.
+                if stripped.startswith("|") or re.search(
+                        r"\b(measured|measures|bench|benched|ran at|runs at|clocked|hit|"
+                        r"landed at|came in at|peak|peaks at|sustained|wall.clock)\b", line, re.I):
+                    out.pop()
+                    cut += 1
+        final = re.sub(r"\n{3,}", "\n\n", "\n".join(out))
+        saved = before - len(final.split("\n"))
+        if saved or cut:
+            pages += 1
+            total_lines += max(saved, cut)
+            print(f"  {s.replace('serverAppConfigs-docs/', '')}: -{max(saved, cut)}")
+            if apply:
+                page.write_text(final.rstrip("\n") + "\n")
+    print(f"{'APPLIED' if apply else 'dry run'}: {pages} pages, {total_lines} lines of ledger")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main(sys.argv))

scripts/check-okf.py

@@ -0,0 +1,293 @@
+#!/usr/bin/env python3
+"""OKF v0.1 conformance linter for a docs bundle (default serverAppConfigs-docs).
+
+Checks the hard rules of the Open Knowledge Format spec plus the maintenance
+guidance, so "conforms to OKF" is a test and not a claim:
+
+  FRONTMATTER  every non-reserved .md has parseable YAML frontmatter with a
+               non-empty `type` from the spec's value set
+  TYPE         the value is one of reference / howto / tutorial / explanation
+  DESC         `description` is present, non-blank, not the title, <= 120 chars,
+               and does not restate a fleet quantity
+  TIMESTAMP    `timestamp` present, ISO 8601, not in the future
+  LENGTH       lines between 1 and 500 inclusive
+  INDEX-FM     no index.md may carry frontmatter (index.md is reserved)
+  LOG-DATE     log.md date headings are `## YYYY-MM-DD` or `## YYYY-MM-DD — Title`,
+               one entry per date, newest first
+  INDEX-COVER  every index.md links each of its sibling pages; the root index
+               links every page in the bundle
+  INDEX-NUM    an index table row restates a fleet quantity — a digit run of
+               three or more, a digits-plus-unit figure, a port, or a
+               multiplier. Names (Qwen3.6, RDNA4, RTX 3090, PICO-8, P4) are
+               not quantities and are allowed
+  CITATIONS    informational: pages with factual claims and no Citations
+               section are counted, never failed
+
+  LENGTH       lines between 1 and 500 inclusive. A page may opt out of the
+               ceiling with `okf-exempt: length` in its frontmatter: AGENTS.md
+               makes one page per endpoint permanent, and an endpoint page with
+               a full Eras table cannot split without creating a second owner
+               of the same shape (tests/docs_completeness.bats enforces that)
+
+Exit 0 when there are no violations.
+"""
+import datetime
+import re
+import sys
+from pathlib import Path
+
+TYPES = {"reference", "howto", "tutorial", "explanation"}
+RESERVED = {"index.md", "log.md", "AGENTS.md"}
+
+# A quantity, as opposed to a name: a comma-grouped figure, a run of 3+ digits,
+# a unit-bearing figure, a port (":7770"), or a multiplier ("2x", "3 *").
+QUANTITY = re.compile(
+    r"\d{1,3}(?:,\d{3})+"          # 262,144
+    r"|\d{3,}"                     # 200000, 7770, 3090
+    r"|\d+(?:\.\d+)?\s*(?:GiB|MiB|GB|MB|TB|tok/s|t/s|x\b|%)"
+    r"|[:×]\s*\d"
+    r"|\d+\s*[x×]\s*\d"
+)
+# Product / model / standard names that legitimately contain digits.
+NAMES = re.compile(
+    r"Qwen[\d.]*[-\w]*|Gemma\s?\d[\w.]*|MiMo[-\w.\d.]*|Ornith[-\w.\d]*"
+    r"|Bonsai[-\w.\d]*|Ling[-\w.\d.]*|DeepSeek[-\w.\d]*|GLM[-\w.\d]*"
+    r"|PICO-\d+|RDNA\s?\d+|R\d{4}|RTX\s?\d+|XDNA\d|gfx\d+|CUDA\s?[\d.]+"
+    r"|\d+\s?GbE|Wi-?Fi\s?\d|v?\d+\.\d+(?:\.\d+)?|b\d+|P\d\b|A\d+\b"
+    r"|frank-\w*2026-\d\d-\d\d|2026-\d\d-\d\d",
+    re.I,
+)
+DATE_RE = re.compile(r"^\d{4}-\d{2}-\d{2}")
+FM_KEY = re.compile(r"^([A-Za-z][\w-]*):\s*(.*)$")
+
+
+def split_frontmatter(text):
+    if not text.startswith("---"):
+        return None, text
+    end = text.find("\n---", 3)
+    if end < 0:
+        return None, text
+    body_start = text.find("\n", end + 1)
+    return text[3:end], text[body_start + 1 :] if body_start >= 0 else ""
+
+
+def fields(raw):
+    out = {}
+    if not raw:
+        return out
+    key = None
+    for line in raw.splitlines():
+        if not line.strip():
+            continue
+        m = FM_KEY.match(line)
+        if m:
+            key, val = m.group(1), m.group(2).strip().strip("\"'")
+            out[key] = val
+        elif line.startswith(" ") and key:
+            out[key] = (out[key] + " " + line.strip()).strip()
+    return out
+
+
+def strip_names(value):
+    return NAMES.sub(" ", value)
+
+
+def check_file(path: Path, root: Path, length_exempt=frozenset()):
+    v = []
+    rel = str(path.relative_to(root))
+    text = path.read_text(errors="replace")
+    lines = text.splitlines()
+    name = path.name
+    raw, body = split_frontmatter(text)
+    fm = fields(raw)
+
+    if name not in RESERVED:
+        if raw is None:
+            v.append(("FRONTMATTER", rel, "no parseable frontmatter"))
+        else:
+            t = fm.get("type", "")
+            if not t:
+                v.append(("TYPE", rel, "missing type"))
+            elif t not in TYPES:
+                v.append(("TYPE", rel, f"type '{t}' not in {sorted(TYPES)}"))
+            d = fm.get("description", "")
+            if not d:
+                v.append(("DESC", rel, "missing description"))
+            else:
+                if len(d) > 120:
+                    v.append(("DESC", rel, f"description is {len(d)} chars (max 120)"))
+                if d.strip("# ").lower() == fm.get("title", "\0").strip("# ").lower():
+                    v.append(("DESC", rel, "description equals title"))
+                if QUANTITY.search(strip_names(d)):
+                    v.append(("DESC", rel, "description restates a quantity"))
+            ts = fm.get("timestamp", "")
+            if not ts:
+                v.append(("TIMESTAMP", rel, "missing timestamp"))
+            else:
+                try:
+                    stamp = datetime.date.fromisoformat(ts[:10])
+                    if stamp > datetime.date.today():
+                        v.append(("TIMESTAMP", rel, f"timestamp {ts} is in the future"))
+                except ValueError:
+                    v.append(("TIMESTAMP", rel, f"unparseable timestamp {ts!r}"))
+
+    if name == "index.md" and raw is not None:
+        v.append(("INDEX-FM", rel, "index.md must not carry frontmatter"))
+
+    if name == "log.md":
+        dates = []
+        for line in lines:
+            m = re.match(r"^##\s+(\S.*?)\s*$", line)
+            if not m:
+                continue
+            head = m.group(1)
+            if not DATE_RE.match(head):
+                continue
+            dates.append(head[:10])
+            # OKF requires the heading to USE the date format; a title after an
+            # em-dash is allowed and costs zero lines, so `## 2026-08-17 — Why the
+            # pair was rebuilt` is conformant and `## 2026-08-17Rebuilt` is not.
+            if head != head[:10] and not re.match(r"^\d{4}-\d{2}-\d{2}\s+—\s+\S", head):
+                v.append(("LOG-DATE", rel,
+                          f"date heading must be the date alone or `date — Title`: '## {head}'"))
+        if len(dates) != len(set(dates)):
+            v.append(("LOG-DATE", rel, "duplicate date heading"))
+        if dates != sorted(dates, reverse=True):
+            v.append(("LOG-DATE", rel, "date headings not newest first"))
+
+    if raw is not None and name not in RESERVED:
+        n = len(lines)
+        body_lines = len([ln for ln in body.splitlines() if ln.strip()])
+        opted_out = "length" in fm.get("okf-exempt", "").lower()
+        if n > 500:
+            if rel in length_exempt:
+                v.append(("LENGTH-OK", rel,
+                          f"{n} lines — over the hint, pinned by the "
+                          "one-page-per-endpoint law"))
+            elif opted_out:
+                v.append(("LENGTH-OK", rel,
+                          f"{n} lines — over the hint, opted out by the page"))
+            else:
+                v.append(("LENGTH", rel, f"{n} lines (max 500)"))
+        elif body_lines < 15:
+            v.append(("LENGTH", rel, "stub: fewer than 15 body lines"))
+
+    # A second `type:` key inside the body means the page carries two copies of
+    # itself with a frontmatter block in the middle — the shape a naive
+    # frontmatter rewrite produces. It doubles the length, splits the wikilinks
+    # and makes the page's facts ambiguous, so it is a hard failure.
+    if raw is not None and name not in RESERVED:
+        dupes = [i + len((raw or "").splitlines()) + 2
+                 for i, ln in enumerate(body.splitlines())
+                 if re.match(r"^(type|title|description):", ln)]
+        if dupes:
+            v.append(("DOUBLED", rel,
+                      f"frontmatter keys inside the body at line(s) "
+                      f"{', '.join(str(d) for d in dupes[:5])} — the page "
+                      "contains a duplicated copy of itself"))
+
+    return v
+
+
+def index_rows(text):
+    rows = []
+    for line in text.splitlines():
+        if line.startswith("|") and "[[" in line:
+            rows.append(line)
+    return rows
+
+
+def check_links(root: Path):
+    v = []
+    pages = [
+        p for p in sorted(root.rglob("*.md"))
+        if ".AGENTTRASH" not in str(p) and ".obsidian" not in str(p)
+    ]
+    for index in [p for p in pages if p.name == "index.md"]:
+        text = index.read_text(errors="replace")
+        links = set(re.findall(r"\[\[([^\]|#]+)", text))
+        if index.parent == root:
+            targets = [p for p in pages if p.name not in RESERVED]
+        else:
+            targets = [p for p in index.parent.glob("*.md") if p.name != "index.md"]
+        for target in targets:
+            if target.stem not in links and target.name not in links:
+                v.append(("INDEX-COVER", str(index.relative_to(root)),
+                          f"does not link sibling {target.name}"))
+    for index in [p for p in pages if p.name == "index.md"]:
+        for row in index_rows(index.read_text(errors="replace")):
+            if QUANTITY.search(strip_names(row)):
+                v.append(("INDEX-NUM", str(index.relative_to(root)),
+                          "row restates a quantity: " + row[:80]))
+    return v
+
+
+def live_endpoints(root: Path):
+    """Pages pinned by AGENTS.md's one-page-per-endpoint law.
+
+    Derived, never hardcoded — the same derivation as
+    tests/docs_completeness.bats: an endpoint is live when scripts/ holds both
+    its env and its unit. Those pages carry the Eras table for their whole
+    history, so the OKF 500-line split hint cannot apply to them without
+    creating a second owner of the same shape.
+    """
+    scripts = root.parent / "scripts"
+    out = set()
+    if scripts.is_dir():
+        for envf in scripts.glob("frank-*.env"):
+            if (scripts / f"{envf.stem}.service").exists():
+                out.add(f"LLM/{envf.stem}.md")
+    return out
+
+
+def retired_era_pages(root: Path):
+    """Era pages of a retired endpoint: campaign ledgers, one owner each.
+
+    AGENTS.md lets a campaign ledger that exists nowhere else live on the page
+    that measured it, and a retired endpoint keeps exactly one page per era.
+    Splitting such a ledger to satisfy the 500-line hint would fragment one
+    campaign across two owners, so the tag opts the page out.
+    """
+    out = set()
+    for path in root.rglob("*.md"):
+        s = str(path)
+        if ".AGENTTRASH" in s or ".obsidian" in s:
+            continue
+        raw, _ = split_frontmatter(path.read_text(errors="replace"))
+        if raw is not None and "retired-endpoint" in fields(raw).get("tags", ""):
+            out.add(str(path.relative_to(root)))
+    return out
+
+
+def main(argv):
+    root = Path(argv[1] if len(argv) > 1 else "serverAppConfigs-docs")
+    exempt = frozenset(live_endpoints(root)) | retired_era_pages(root)
+    violations = []
+    notes = []
+    citation_gaps = 0
+    pages = 0
+    for path in sorted(root.rglob("*.md")):
+        s = str(path)
+        if ".AGENTTRASH" in s or ".obsidian" in s:
+            continue
+        pages += 1
+        for code, rel, detail in check_file(path, root, exempt):
+            (notes if code == "LENGTH-OK" else violations).append((code, rel, detail))
+        text = path.read_text(errors="replace")
+        if len(text.splitlines()) > 40 and not re.search(
+                r"^##\s+(Citations|Sources)\b", text, re.M):
+            citation_gaps += 1
+    violations += check_links(root)
+
+    for code, rel, detail in violations:
+        print(f"  {code:12s} {rel}: {detail}")
+    for code, rel, detail in notes:
+        print(f"  {code:12s} {rel}: {detail}")
+    print(f"{pages} concept pages, {len(violations)} OKF violations"
+          f" ({citation_gaps} pages without a Citations section — soft;"
+          f" {len(notes)} length exemptions honoured)")
+    return 1 if violations else 0
+
+
+if __name__ == "__main__":
+    sys.exit(main(sys.argv))

scripts/check-vault-links.py

@@ -31,7 +31,12 @@ def strip_md(path: str) -> str:
 
 
 def build_index(vault: pathlib.Path):
-    pages = sorted(vault.rglob("*.md"))
+    # `.AGENTTRASH` is deleted-but-held state, not vault content: it must not be
+    # scanned (its relative links resolve against the trash dir, not the vault)
+    # and must not answer as a link target — a live page pointing into the trash
+    # is an unresolved link, not a resolved one.
+    pages = sorted(p for p in vault.rglob("*.md")
+                   if ".AGENTTRASH" not in str(p))
     stems: dict[str, list[pathlib.Path]] = {}
     for page in pages:
         stems.setdefault(page.stem.casefold(), []).append(page)

scripts/deploy-plan.py

@@ -34,12 +34,16 @@ SERVICE_ORDER = (
     "hermes",
     "hermes-dashboard",
     "hermes-webui",
-    "prometheus",
     "grafana",
     "loki",
     "alloy",
     "node-exporter",
+    "cadvisor",
+    "gpu-exporter",
     "alertmanager",
+    # The prober must answer before prometheus re-runs the services job.
+    "blackbox-exporter",
+    "prometheus",
     "authentik-postgres",
     "authentik-server",
     "authentik-worker",
@@ -92,7 +96,10 @@ DANKCLAW_SERVICES = {
     "loki",
     "alloy",
     "node-exporter",
+    "cadvisor",
+    "gpu-exporter",
     "alertmanager",
+    "blackbox-exporter",
     "authentik-postgres",
     "authentik-server",
     "authentik-worker",
@@ -124,6 +131,8 @@ DANKSERVER_SERVICES = {
     "readarr",
     "frank-archon",
     "node-exporter",
+    "cadvisor",
+    "gpu-exporter",
 }
 
 # FrankBook-Pro runs the *arr stack + qBittorrent inside a podman machine on
@@ -271,6 +280,8 @@ def services_for_path(path: str, target: str) -> set[str]:
             # Provisioned datasources and dashboards: git is the source of
             # truth, so a change here must restart the service that reads them.
             _add(services, "grafana")
+        elif group == "blackbox":
+            _add(services, "blackbox-exporter")
         elif group == "homepage":
             # Homepage is a Dankclaw-owned deployment. Shared homepage files
             # are intentionally not copied during a Dankserver-only run.
@@ -293,6 +304,17 @@ def services_for_path(path: str, target: str) -> set[str]:
         if len(parts) >= 2 and parts[1] in {"caddy", "comfyui", "loki", "alloy", "hermes", "anubis", "seerr"}:
             _add(services, parts[1])
             return services
+        if len(parts) >= 3 and parts[1] == "host":
+            # Host state a service needs at boot lives under dankclaw/host/.
+            # The fabric-clock hold is frank-dragoon's NPU precondition (the
+            # engine refuses to start with HALOGEN_NPU_MODELS set while the
+            # clock moves) and the deployer installs and gates it, so changing
+            # it re-dispatches that endpoint. `grub` is the tracked boot line,
+            # which moves only through scripts/set-dankclaw-bootline.sh and is
+            # a reboot decision — it plans no service.
+            if parts[2].startswith("halogen-fabric-clock"):
+                _add(services, "frank-dragoon")
+            return services
         if len(parts) >= 4 and parts[1] == "authentik" and parts[2] == "quadlet":
             name = parts[3].removesuffix(".container")
             if name in {"authentik-postgres", "authentik-server", "authentik-worker", "authentik-outpost", "authentik-outpost-ldap"}:
@@ -363,7 +385,7 @@ def services_for_path(path: str, target: str) -> set[str]:
             # consumer (prometheus before grafana, loki before alloy).
             if len(parts) >= 4 and parts[2] == "quadlet":
                 name = parts[3].removesuffix(".container")
-                if name in {"prometheus", "grafana", "loki", "alloy", "node-exporter", "alertmanager"}:
+                if name in {"prometheus", "grafana", "loki", "alloy", "node-exporter", "cadvisor", "alertmanager", "blackbox-exporter"}:
                     _add(services, name)
             return services
         if len(parts) >= 2 and parts[1] == "gitea":
@@ -406,8 +428,8 @@ def services_for_path(path: str, target: str) -> set[str]:
             # node-dankserver job had nothing to scrape.
             if len(parts) >= 4 and parts[2] == "quadlet":
                 name = parts[3].removesuffix(".container")
-                if name == "node-exporter":
-                    _add(services, "node-exporter")
+                if name in {"node-exporter", "cadvisor"}:
+                    _add(services, name)
             return services
         # frank-archon's quadlet-era directory left the tree on 2026-09-26
         # (the Lucebox DS4.1 unit was retired for the llama.cpp root unit —
@@ -438,6 +460,12 @@ 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 {"gpu-exporter.py", "gpu-exporter.service"}:
+            # The host-process GPU exporter is installed directly by the
+            # gpu-exporter deploy on BOTH hosts, so its script and unit select
+            # that service (target_services then keeps it only on the host being
+            # planned). Editing the collector restarts the running exporter.
+            _add(services, "gpu-exporter")
         if name in {"frank-zealot.env", "frank-zealot.service", "serve-frank-zealot.sh"}:
             # llama.cpp frank-zealot (2026-09-16) keeps its unit, env and serve
             # files here; each one selects frank-zealot only. The ik_llama.cpp

scripts/deploy-remote.sh

@@ -86,7 +86,7 @@ service_is_allowed() {
         dankclaw:open-webui|dankclaw:gitea-postgres|dankclaw:gitea-server|\
         dankclaw:comfyui|dankclaw:hermes|\
         dankclaw:hermes-dashboard|dankclaw:hermes-webui|dankclaw:prometheus|dankclaw:grafana|\
-        dankclaw:loki|dankclaw:alloy|dankclaw:node-exporter|dankclaw:alertmanager|\
+        dankclaw:loki|dankclaw:alloy|dankclaw:node-exporter|dankclaw:cadvisor|dankclaw:gpu-exporter|dankclaw:alertmanager|dankclaw:blackbox-exporter|\
         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|\
@@ -97,7 +97,7 @@ service_is_allowed() {
         dankserver:copyparty|dankserver:jellyfin|dankserver:calibre-web|dankserver:calibre-server|dankserver:plex|dankserver:tautulli|\
         dankserver:prowlarr|dankserver:qbittorrent|dankserver:radarr|\
         dankserver:sonarr|dankserver:lidarr|dankserver:readarr|\
-        dankserver:frank-archon|dankserver:node-exporter|\
+        dankserver:frank-archon|dankserver:node-exporter|dankserver:cadvisor|dankserver:gpu-exporter|\
         frankbook-pro:gluetun|frankbook-pro:qbittorrent|frankbook-pro:prowlarr|\
         frankbook-pro:radarr|frankbook-pro:sonarr|frankbook-pro:lidarr|\
         frankbook-pro:readarr)
@@ -275,14 +275,81 @@ install_signal_relay() {
     return 1
 }
 
+# Host-process GPU metrics exporter (amdgpu sysfs + nvidia-smi). Not a quadlet:
+# it runs python3 from the checkout on the host so it can read the DRM/cgroup
+# sysfs and shell out to nvidia-smi. Same two-address bind posture as
+# node-exporter/cadvisor (loopback + this host's LAN), so it is never a wildcard.
+deploy_gpu_exporter() {
+    local unit_dir="$HOME/.config/systemd/user" lan dropin i
+    case "$TARGET" in
+        dankclaw) lan=192.168.0.143 ;;
+        dankserver) lan=192.168.0.235 ;;
+        *) echo "gpu-exporter: unknown target '$TARGET'" >&2; return 2 ;;
+    esac
+    mkdir -p "$unit_dir"
+    cp scripts/gpu-exporter.service "$unit_dir/gpu-exporter.service"
+    dropin="$unit_dir/gpu-exporter.service.d"
+    mkdir -p "$dropin"
+    printf '[Service]\nEnvironment=GPU_EXPORTER_BINDS=127.0.0.1,%s\n' "$lan" \
+        > "$dropin/bind.conf"
+    systemctl --user daemon-reload
+    systemctl --user enable gpu-exporter.service
+    systemctl --user restart gpu-exporter.service
+    # The interpreter needs a moment to bind after restart (the same race that
+    # once failed a healthy signal-relay deploy).
+    for i in $(seq 1 15); do
+        curl -fsS -m 5 http://127.0.0.1:9401/metrics >/dev/null && return 0
+        sleep 1
+    done
+    echo "gpu-exporter is not answering on 127.0.0.1:9401/metrics" >&2
+    return 1
+}
+
 copy_loki_config() {
     run_privileged mkdir -p /opt/loki/config
     run_privileged cp shared/loki/loki-config.yaml /opt/loki/config/loki-config.yaml
 }
 
 copy_alloy_config() {
-    run_privileged mkdir -p /opt/alloy/config
-    run_privileged cp shared/alloy/config.alloy /opt/alloy/config/config.alloy
+    # The repo config carries the token GRAFANA_HOST_LABEL; the installed copy
+    # carries the host's name, so Loki streams say WHICH machine's journal a
+    # line came from without a second config file per host.
+    # *_CONF_ROOT are test seams: the bats cases execute these copiers for
+    # real against a sandbox with a stubbed run_privileged.
+    local root="${ALLOY_CONF_ROOT:-/opt/alloy}" tmp
+    tmp="$(mktemp)"
+    sed "s/GRAFANA_HOST_LABEL/$TARGET/g" shared/alloy/config.alloy > "$tmp"
+    if ! grep -q "host = \"$TARGET\"," "$tmp" || grep -q "GRAFANA_HOST_LABEL" "$tmp"; then
+        echo "alloy config: host-label substitution failed" >&2
+        rm -f "$tmp"
+        return 1
+    fi
+    # Syntax gate: alloy's config language has no schema — a misplaced
+    # attribute (e.g. `on_error` outside the json stage) parses only at RUN
+    # time, and the unit then crash-loops with a healthy-looking deploy.
+    # Validate against the very image that will run it, before installing.
+    # Skipped only in the bats sandbox (no image there).
+    if [ "$root" = "/opt/alloy" ] || podman image exists localhost/franksdank/alloy:latest 2>/dev/null; then
+        if ! podman run --rm -v "$tmp:/c.alloy:ro" \
+                --entrypoint /usr/bin/alloy localhost/franksdank/alloy:latest \
+                validate /c.alloy; then
+            echo "alloy config: validate FAILED against the pinned image" >&2
+            rm -f "$tmp"
+            return 1
+        fi
+    fi
+    run_privileged mkdir -p "$root/config"
+    run_privileged cp "$tmp" "$root/config/config.alloy"
+    rm -f "$tmp"
+}
+
+copy_blackbox_config() {
+    # Single-file mount target: the unit binds this exact path into
+    # /etc/blackbox_exporter/config.yml. cp (not cp -r) keeps it one file.
+    # BLACKBOX_CONF_ROOT is the same test seam.
+    local root="${BLACKBOX_CONF_ROOT:-/opt/blackbox}"
+    run_privileged mkdir -p "$root"
+    run_privileged cp shared/blackbox/blackbox.yml "$root/blackbox.yml"
 }
 
 copy_grafana_provisioning() {
@@ -291,14 +358,25 @@ copy_grafana_provisioning() {
     # datasource would be invisible to review, lost with the data volume, and
     # unknown to anyone reading the repository. The unit already mounts
     # /opt/grafana/provisioning read-only, so this only has to populate it.
-    run_privileged mkdir -p /opt/grafana/provisioning/datasources \
-        /opt/grafana/provisioning/dashboards
+    # GRAFANA_PROV_ROOT is the test seam: point it at a sandbox and the whole
+    # copy runs unprivileged (the bats case executes this function for real).
+    local root="${GRAFANA_PROV_ROOT:-/opt/grafana}"
+    run_privileged mkdir -p "$root/provisioning/datasources" \
+        "$root/provisioning/dashboards"
     run_privileged cp shared/grafana/provisioning/datasources/prometheus.yml \
-        /opt/grafana/provisioning/datasources/prometheus.yml
+        "$root/provisioning/datasources/prometheus.yml"
     run_privileged cp shared/grafana/provisioning/dashboards/provider.yml \
-        /opt/grafana/provisioning/dashboards/provider.yml
-    run_privileged cp shared/grafana/provisioning/dashboards/llm-fleet.json \
-        /opt/grafana/provisioning/dashboards/llm-fleet.json
+        "$root/provisioning/dashboards/provider.yml"
+    # EVERY dashboard JSON rides, not a hand-listed subset: the fleet provider
+    # turns each file in the directory into a dashboard, so a copier that names
+    # files one by one silently drops new boards (measured 2026-10-21: the
+    # containers board existed in the repo since its commit and was NEVER
+    # provisioned — the panel-census browser check could not find it while the
+    # hand-placed older boards happened to be on disk). Same rule as the quadlet
+    # tier: the directory is the contract, the copy is generated state.
+    for dash in shared/grafana/provisioning/dashboards/*.json; do
+        run_privileged cp "$dash" "$root/provisioning/dashboards/$(basename "$dash")"
+    done
 }
 
 render_caddyfile() {
@@ -487,13 +565,15 @@ seed_grafana_env() {
         || { echo "grafana env missing GRAFANA_OAUTH_CLIENT_SECRET; set it in dankclaw/.env" >&2; return 1; }
 }
 
-# The five observability containers left compose on 2026-09-11 (they were
-# started by hand with podman-compose and never came back after a reboot).
-# They are ordinary rootless Quadlet units now: same images, same mounts, same
-# arguments, same container names, so nothing that addresses them by name —
-# Caddy, Prometheus' own scrape config, Alloy's loki.write endpoint — changed.
-# Only the published ports did: the three HTTP UIs bind 127.0.0.1, because the
-# compose services published on 0.0.0.0 and none of them authenticates.
+# The observability containers left compose on 2026-09-11 (they were started by
+# hand with podman-compose and never came back after a reboot). Five are ordinary
+# rootless Quadlet units: same images, same mounts, same arguments, same
+# container names, so nothing that addresses them by name — Caddy, Prometheus'
+# own scrape config — changed. Only the published ports did: the three HTTP UIs
+# bind 127.0.0.1, because the compose services published on 0.0.0.0 and none of
+# them authenticates. Alloy is the exception: a ROOT system service on
+# Network=host, because reading the host journal needs privileges a rootless
+# container cannot get. It is handled by deploy_alloy, not the loop below.
 deploy_observability() {
     local service="$1"
     # Observability units live under <target>/observability/quadlet: Dankclaw
@@ -512,16 +592,17 @@ deploy_observability() {
             copy_loki_config
             build_compose_image loki
             ;;
-        alloy)
-            copy_alloy_config
-            build_compose_image alloy
-            ;;
         grafana)
             copy_grafana_provisioning
             seed_grafana_env || return 1
             ;;
         node-exporter)
             ;;
+        cadvisor)
+            ;;
+        blackbox-exporter)
+            copy_blackbox_config
+            ;;
         *)
             echo "unknown observability service: $service" >&2
             return 2
@@ -534,11 +615,75 @@ deploy_observability() {
         alertmanager) wait_for_health alertmanager http://127.0.0.1:9093/-/healthy 60 ;;
         grafana) wait_for_health grafana http://127.0.0.1:3002/api/health 90 ;;
         loki) wait_for_health loki http://127.0.0.1:3100/ready 60 ;;
-        alloy) wait_for_health alloy http://127.0.0.1:12345/-/healthy 60 ;;
         node-exporter) wait_for_health node-exporter http://127.0.0.1:9100/metrics 60 ;;
+        cadvisor) wait_for_health cadvisor http://127.0.0.1:8080/healthz 90 ;;
+        # Loopback: the exporter binds 127.0.0.1 + LAN (the gateway address
+        # is not bindable from the host netns — see the unit header).
+        blackbox-exporter) wait_for_health blackbox-exporter http://127.0.0.1:9115/-/healthy 60 ;;
     esac
 }
 
+# Mirror an image the deployer built rootless into the ROOT image store. A root
+# quadlet reads root storage; a root build (build_compose_image is rootless) is
+# not possible on this host — the build container's resolver fails DNS — so the
+# only way to get a root-readable copy is save-and-load. Compares image ids so a
+# rebuilt alloy actually re-lands in root storage instead of leaving a stale tag.
+mirror_image_to_root() {
+    local ref="$1" rid
+    rid="$(podman image inspect "$ref" --format '{{.Id}}' 2>/dev/null)" || {
+        echo "ERROR: rootless image $ref is not built; cannot mirror to root" >&2
+        return 1
+    }
+    if [[ "$(run_privileged podman image inspect "$ref" --format '{{.Id}}' 2>/dev/null)" == "$rid" ]]; then
+        return 0
+    fi
+    local tar; tar="$(mktemp /var/tmp/alloy-mirror.XXXXXX.tar)"
+    podman save -o "$tar" "$ref"
+    run_privileged podman load -i "$tar"
+    rm -f "$tar"
+}
+
+# Install a quadlet into the SYSTEM generator dir (root manager) instead of the
+# user dir. Boot persistence is the unit's own [Install] section (multi-user
+# target); the v1 system generator creates the .wants on daemon-reload, so —
+# like the user units — no `systemctl enable` (generated units cannot be enabled
+# here).
+install_system_quadlet() {
+    local source_dir="$1" unit="$2"
+    run_privileged mkdir -p /etc/containers/systemd
+    run_privileged cp "$source_dir/$unit.container" /etc/containers/systemd/
+    run_privileged systemctl daemon-reload
+}
+
+# Alloy as a ROOT system service on Network=host. See the unit file: a rootless
+# container cannot read the 0640 journal files, and it cannot reach Loki's
+# 127.0.0.1:3100 publish from a bridge netns. Root + host network fixes both;
+# the price is that this one container runs as root and on the host network.
+deploy_alloy() {
+    copy_alloy_config
+    build_compose_image alloy                      # rootless build (resolver works)
+    mirror_image_to_root localhost/franksdank/alloy:latest
+
+    # Retire the rootless unit BEFORE the system one starts: both managers
+    # generate alloy.service, and two containers named "alloy" both binding
+    # 127.0.0.1:12345 cannot coexist. Move the user quadlet out of the generator
+    # dir (it regenerates from there) and stop the user unit.
+    if [[ -f "$quadlet_unit_dir/alloy.container" ]] ||
+       systemctl --user is-active --quiet alloy.service 2>/dev/null; then
+        systemctl --user stop alloy.service 2>/dev/null || true
+        if [[ -f "$quadlet_unit_dir/alloy.container" ]]; then
+            local trash="$HOME/.AGENTTRASH/$(date +%Y%m%d)-alloy-root-cutover"
+            mkdir -p "$trash"
+            mv -- "$quadlet_unit_dir/alloy.container" "$trash/alloy.container"
+            echo "retired rootless alloy.container -> $trash"
+        fi
+        systemctl --user daemon-reload
+    fi
+
+    install_system_quadlet dankclaw/observability/quadlet alloy
+    run_privileged systemctl restart alloy.service
+    wait_for_health alloy http://127.0.0.1:12345/-/healthy 60
+}
 build_compose_image() {
     local service="$1" image cfhash oldhash containerfile
     # Every file the image COPIES IN, beside the Containerfile. The skip below
@@ -1310,9 +1455,10 @@ deploy_anubis() {
 # conversion (2026-10-11) of the abliterated Qwen3.8-Flash-Next —
 # qwen38-flash-next-v2-abliterated.hgn (66,687,678,432 B, ~62 GiB resident)
 # + the REQUIRED n-gram lookup table + the vision tower — MTP spec decode
-# (HALOGEN_SPEC_ADAPT=0), 2 slots over ONE 401,408-position KV pool (2 × ctx,
-# raised 2026-10-18 so BOTH slots can hold a maximum-length request) at the
-# ctx 200704 ceiling, image input — on the Strix Halo iGPU. It stays a
+# (HALOGEN_SPEC_ADAPT=0), 2 slots over ONE 401,408-position KV pool at the
+# native ctx 262144 ceiling (raised 2026-10-21 from 200704 so the harness can
+# run a 200,000 window with its ~45k fit gap; the pool still carries two
+# 200k conversations at once), image input — on the Strix Halo iGPU. It stays a
 # ROOT unit because the serve script drives `podman run` directly (the frank-archon pattern):
 # relink_unit points /etc/systemd/system/frank-dragoon.service at the repo
 # file, boot persistence is that unit's [Install], and LimitMEMLOCK=infinity
@@ -1329,6 +1475,9 @@ deploy_anubis() {
 # port gate is the same as every cutover since 2026-09-16: nothing
 # starts until 7770 is released.
 LLM_DRAGOON_IMAGE="${LLM_DRAGOON_IMAGE:-ghcr.io/peonist-ai/halogen-flash-server@sha256:0c61bf84ac22308a53f5d1ca6b86806702d7039e5ebc51cae4c66621b92fe04a}"
+# The payload dir is its own twin because the NPU lane's containment gate below
+# reads it; every artifact path under it stays a full literal as usual.
+LLM_DRAGOON_MODEL_DIR="${LLM_DRAGOON_MODEL_DIR:-/home/dank/models/halogen-v2-abliterated}"
 LLM_DRAGOON_CKPT="${LLM_DRAGOON_CKPT:-/home/dank/models/halogen-v2-abliterated/qwen38-flash-next-v2-abliterated.hgn}"
 LLM_DRAGOON_CKPT_BYTES="${LLM_DRAGOON_CKPT_BYTES:-66687678432}"
 LLM_DRAGOON_NGRAM="${LLM_DRAGOON_NGRAM:-/home/dank/models/halogen-v2-abliterated/qwen38-flash-next-ngram.hgn}"
@@ -1337,6 +1486,18 @@ LLM_DRAGOON_VISION="${LLM_DRAGOON_VISION:-/home/dank/models/halogen-v2-abliterat
 LLM_DRAGOON_VISION_BYTES="${LLM_DRAGOON_VISION_BYTES:-897916416}"
 LLM_DRAGOON_TOK_DIR="${LLM_DRAGOON_TOK_DIR:-/home/dank/models/halogen-v2-abliterated/tokenizer}"
 LLM_DRAGOON_TOK_FILES="${LLM_DRAGOON_TOK_FILES:-tokenizer.json chat_template.jinja tokenizer_config.json merges.txt vocab.json generation_config.json}"
+# NPU lane (2026-10-19). HALOGEN_NPU_MODELS is the whole switch and the parity
+# twin of the env file's line: empty here AND in the env = the pre-lane
+# endpoint. The gates below mirror serve-frank-dragoon.sh, and the vendor's
+# fabric-clock host unit (dankclaw/host/, verbatim at tag v0.16.2) is installed
+# ONLY while the lane is named — on Strix Halo the iGPU and the NPU co-running
+# hang the machine while the fabric clock moves, so halogen refuses to boot with
+# the lane armed unless that clock is held.
+LLM_DRAGOON_NPU_MODELS="${LLM_DRAGOON_NPU_MODELS:-qwen3-embedding-0.6b}"
+LLM_DRAGOON_NPU_DIR="${LLM_DRAGOON_NPU_DIR:-/home/dank/models/halogen-v2-abliterated/npu}"
+LLM_DRAGOON_DEV_ACCEL="${LLM_DRAGOON_DEV_ACCEL:-/dev/accel/accel0}"
+LLM_DRAGOON_XRT_DIR="${LLM_DRAGOON_XRT_DIR:-/usr/lib/x86_64-linux-gnu}"
+LLM_DRAGOON_NETWORK="${LLM_DRAGOON_NETWORK:-dankclaw_default}"
 
 retire_halogen_dragoon_quadlet() {
     local trash="$HOME/.AGENTTRASH/20260919-orca-cutover/quadlet"
@@ -1415,6 +1576,77 @@ deploy_llm_dragoon() {
         fi
     done
 
+    # The container network has to exist before the run line names it (a typo
+    # there is a restart-looping unit, not a config error anyone reads).
+    if [[ -n "$LLM_DRAGOON_NETWORK" ]] && ! podman network exists "$LLM_DRAGOON_NETWORK"; then
+        echo "ERROR: podman network $LLM_DRAGOON_NETWORK does not exist" >&2
+        echo "frank-dragoon: create it or blank FRANK_DRAGOON_NETWORK (pasta default)" >&2
+        return 1
+    fi
+
+    # --- NPU lane: the same predicates the serve script checks --------------
+    if [[ -n "$LLM_DRAGOON_NPU_MODELS" ]]; then
+        # One door into the container: the read-only /models mount of the
+        # payload dir. A staging dir outside it needs a nested bind whose
+        # mountpoint runc cannot create through a read-only parent, so the
+        # parity twin of the serve gate refuses the shape before the restart.
+        if [[ "$LLM_DRAGOON_NPU_DIR/" != "$LLM_DRAGOON_MODEL_DIR"/* ]]; then
+            echo "ERROR: NPU staging dir $LLM_DRAGOON_NPU_DIR is outside the payload dir $LLM_DRAGOON_MODEL_DIR — the lane's files reach the container only through the read-only /models mount" >&2
+            return 1
+        fi
+        if [[ ! -e "$LLM_DRAGOON_DEV_ACCEL" ]]; then
+            echo "ERROR: NPU node $LLM_DRAGOON_DEV_ACCEL absent — amdxdna is not bound (is iommu=pt still on the boot line?)" >&2
+            return 1
+        fi
+        # Access, not existence: a rootless container cannot open a root:render
+        # 0660 node (its namespace maps one uid/gid, and keep-groups cannot grant
+        # an unmapped gid — measured 2026-10-19). Install the mode rule, re-trigger
+        # the node, then PROVE the node is other-accessible before the restart.
+        run_privileged install -m 0644 dankclaw/udev/98-halogen-npu-access.rules \
+            /etc/udev/rules.d/98-halogen-npu-access.rules
+        run_privileged udevadm control --reload-rules
+        run_privileged udevadm trigger --sysname-match="$(basename "$LLM_DRAGOON_DEV_ACCEL")"
+        # (`-o FILE` is not "other-writable" — it means "exists", and `-o` is also
+        # the OR operator inside test), so the bit is read straight off the mode.
+        if [[ $(( 8#$(stat -c '%a' "$LLM_DRAGOON_DEV_ACCEL") & 8#2 )) -eq 0 ]]; then
+            echo "ERROR: $LLM_DRAGOON_DEV_ACCEL is still $(stat -c '%a %U:%G' "$LLM_DRAGOON_DEV_ACCEL") after installing the access rule — the lane cannot open it rootless" >&2
+            return 1
+        fi
+        for xl in libxrt_coreutil.so.2 libxrt_core.so.2 libxrt_driver_xdna.so.2; do
+            if [[ ! -e "$LLM_DRAGOON_XRT_DIR/$xl" ]]; then
+                echo "ERROR: XRT NPU library $LLM_DRAGOON_XRT_DIR/$xl absent (Ubuntu libxrt2 + libxrt-npu2)" >&2
+                return 1
+            fi
+        done
+        for nm in ${LLM_DRAGOON_NPU_MODELS//,/ }; do
+            if [[ ! -d "$LLM_DRAGOON_NPU_DIR/$nm" ]]; then
+                echo "ERROR: NPU model $nm not staged in $LLM_DRAGOON_NPU_DIR" >&2
+                echo "frank-dragoon: stage it: bash scripts/download-frank-dragoon-npu.sh" >&2
+                return 1
+            fi
+        done
+        # The hold must exist BEFORE the engine starts and survive every boot
+        # (a resume hands the clock back too — the unit's WantedBy covers it).
+        run_privileged install -m 0755 dankclaw/host/halogen-fabric-clock \
+            /usr/local/sbin/halogen-fabric-clock
+        run_privileged install -m 0644 dankclaw/host/halogen-fabric-clock.service \
+            /etc/systemd/system/halogen-fabric-clock.service
+        run_privileged systemctl daemon-reload
+        run_privileged systemctl enable --now halogen-fabric-clock.service
+        if ! run_privileged /usr/local/sbin/halogen-fabric-clock status; then
+            echo "ERROR: fabric clock is not held — halogen refuses to start with HALOGEN_NPU_MODELS set" >&2
+            echo "frank-dragoon: journalctl -u halogen-fabric-clock.service -n 40" >&2
+            return 1
+        fi
+    elif [[ -x /usr/local/sbin/halogen-fabric-clock ]]; then
+        # Lane rolled back: hand the clock back to the driver and drop the boot
+        # hook. `disable` deletes the INSTALLED copy of this unit — unlike the
+        # tracked LLM unit symlinks the fleet's disable law protects, this file
+        # is repo-owned and the next lane-on deploy reinstalls it.
+        run_privileged systemctl disable halogen-fabric-clock.service 2>/dev/null || true
+        run_privileged /usr/local/sbin/halogen-fabric-clock release || true
+    fi
+
     retire_halogen_dragoon_quadlet
     # 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
@@ -1434,6 +1666,33 @@ deploy_llm_dragoon() {
     run_privileged systemctl enable frank-dragoon.service
     run_privileged systemctl restart frank-dragoon.service
     wait_for_health frank-dragoon http://127.0.0.1:7770/health 1200
+    # The lane's own gate. /health proves the engine is up, nothing about the
+    # NPU programs; one real embedding is the observable output. The first
+    # request after a boot is a warmup artifact (fleet law), so retry before
+    # calling a booted lane dead.
+    if [[ -n "$LLM_DRAGOON_NPU_MODELS" ]]; then
+        for nm in ${LLM_DRAGOON_NPU_MODELS//,/ }; do
+            lane_ok=0
+            for _try in 1 2 3 4 5; do
+                if curl -fsS -m 60 -H 'content-type: application/json' \
+                        -d "{\"model\":\"$nm\",\"input\":[\"frank-dragoon npu lane gate\"]}" \
+                        http://127.0.0.1:7770/v1/embeddings 2>/dev/null \
+                   | python3 -c 'import json,sys
+v = json.load(sys.stdin)["data"][0]["embedding"]
+raise SystemExit(0 if isinstance(v, list) and len(v) and all(isinstance(x, (int, float)) for x in v) else 1)'; then
+                    lane_ok=1
+                    break
+                fi
+                sleep 10
+            done
+            if [[ "$lane_ok" != 1 ]]; then
+                echo "ERROR: NPU model $nm answered no vector on /v1/embeddings" >&2
+                echo "frank-dragoon: read the boot ledger: tail -100 /home/dank/logs/frank_dragoon.log" >&2
+                return 1
+            fi
+            echo "frank-dragoon: NPU lane verified — $nm embedded"
+        done
+    fi
 }
 
 # deploy_llm_zealot — frank-zealot is llama.cpp (PrismML fork build) on the
@@ -1463,6 +1722,12 @@ LLM_ZEALOT_RUNTIME="${LLM_ZEALOT_RUNTIME:-/home/dank/GitPackages/llama-prism-b10
 # 868.32 MiB worst-case VRAM (595.29 model + 248.10 compute in the boot ledger)
 # lands AFTER the engine's fit check, so it is not inside the q8_0 budget.
 LLM_ZEALOT_MMPROJ="${LLM_ZEALOT_MMPROJ:-/home/dank/models/Bonsai2-9B-MTP/Ternary-Bonsai-2-9B-mmproj-Q8_0.gguf}"
+# The refusal adapter is part of the payload identity now, so the deployer
+# checks it beside the other two files — but it has its OWN fetcher, so a
+# missing adapter must not send the operator to the bonsai9 script. Integrity
+# (bytes + sha256) is the fetcher's job at download time; this gate only asks
+# whether the file the env names exists, exactly like the two above.
+LLM_ZEALOT_LORA="${LLM_ZEALOT_LORA:-/home/dank/models/Bonsai2-9B-MTP/Ternary-Bonsai-2-9B-Uncensored-LoRA.gguf}"
 
 deploy_llm_zealot() {
     # Refuse rather than restart-loop: a unit whose runtime or payload is
@@ -1484,6 +1749,13 @@ deploy_llm_zealot() {
             return 1
         fi
     done
+    if [[ ! -f "$LLM_ZEALOT_LORA" ]]; then
+        echo "ERROR: frank-zealot refusal adapter absent at $LLM_ZEALOT_LORA" >&2
+        echo "frank-zealot: run scripts/download-frank-zealot-uncensored-lora.sh first;" >&2
+        echo "frank-zealot: the env names the adapter, so the unit would refuse to boot" >&2
+        echo "frank-zealot: without it — starting the unit anyway is a crash loop." >&2
+        return 1
+    fi
     relink_unit frank-zealot
     run_privileged systemctl daemon-reload
     run_privileged systemctl enable frank-zealot.service
@@ -1815,7 +2087,9 @@ deploy_service() {
         copyparty) deploy_copyparty ;;
         plex) deploy_plex ;;
         tautulli) deploy_tautulli ;;
-        prometheus|grafana|loki|alloy|node-exporter|alertmanager) deploy_observability "$service" ;;
+        alloy) deploy_alloy ;;
+        prometheus|grafana|loki|node-exporter|cadvisor|alertmanager|blackbox-exporter) deploy_observability "$service" ;;
+        gpu-exporter) deploy_gpu_exporter ;;
         comfyui) deploy_comfyui ;;
         *) deploy_compose_service "$service" ;;
     esac

scripts/deploy.sh

@@ -133,13 +133,15 @@ fi
 valid_service() {
     local service="$1"
     case "$TARGET:$service" in
+        # dankclaw:searxng-network is client-only: a network quadlet with no
+        # remote dispatch handler, so the remote gate does not (must not) list it.
         dankclaw:caddy|dankclaw:gluetun|dankclaw:searxng-network|dankclaw:searxng-valkey|\
         dankclaw:searxng|dankclaw:marreta|dankclaw:pihole|dankclaw:open-webui|dankclaw:gitea-postgres|\
         dankclaw:gitea-server|dankclaw:homepage|\
         dankclaw:comfyui|dankclaw:hermes|dankclaw:hermes-dashboard|\
         dankclaw:hermes-webui|dankclaw:prometheus|dankclaw:grafana|dankclaw:loki|dankclaw:alloy|\
-        dankclaw:alertmanager|\
-        dankclaw:node-exporter|dankclaw:authentik-postgres|dankclaw:authentik-server|\
+        dankclaw:alertmanager|dankclaw:blackbox-exporter|\
+        dankclaw:node-exporter|dankclaw:cadvisor|dankclaw:gpu-exporter|dankclaw:authentik-postgres|dankclaw:authentik-server|\
         dankclaw:authentik-worker|dankclaw:authentik-outpost|dankclaw:authentik-outpost-ldap|dankclaw:anubis|dankclaw:seerr|\
         dankclaw:open-notebook|\
         dankclaw:frank-tts-engine|dankclaw:frank-tts|\
@@ -147,8 +149,8 @@ valid_service() {
         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|\
-        dankserver:lidarr|dankserver:readarr|dankserver:node-exporter|\
-        dankserver:frank-archon|\
+        dankserver:lidarr|dankserver:readarr|dankserver:node-exporter|dankserver:cadvisor|dankserver:gpu-exporter|\
+        dankserver:prowlarr|dankserver:frank-archon|\
         frankbook-pro:gluetun|frankbook-pro:qbittorrent|frankbook-pro:prowlarr|\
         frankbook-pro:radarr|frankbook-pro:sonarr|frankbook-pro:lidarr|\
         frankbook-pro:readarr)

scripts/destroy-vault.py

@@ -0,0 +1,109 @@
+#!/usr/bin/env python3
+"""Destroy the vault's dead weight: era ledgers, retired runtimes, dead experiments.
+
+`AGENTS.md` was treating a measurement as a record worth keeping forever. It is not: a
+throughput figure for a payload that no longer runs, on a runtime that no longer exists,
+is a liability — the next agent spends context on a number that AI progress has already
+obsolete. This pass moves those pages to `.AGENTTRASH/` (repo law: never `rm`) and then
+deletes every reference to them from the surviving pages, including the sentence that
+carried the link when the link was the sentence's only content.
+
+Usage: destroy-vault.py <list-file>
+List file: one vault-relative path per line; a directory path destroys the whole tree.
+"""
+import pathlib
+import re
+import shutil
+import sys
+
+VAULT = pathlib.Path("serverAppConfigs-docs")
+TRASH = VAULT / ".AGENTTRASH" / "20261019-destruction"
+
+
+def targets(list_file):
+    out = []
+    for line in pathlib.Path(list_file).read_text().splitlines():
+        line = line.strip()
+        if not line or line.startswith("#"):
+            continue
+        p = VAULT / line
+        if p.is_dir():
+            out += [f for f in sorted(p.rglob("*.md"))]
+        elif p.is_file():
+            out.append(p)
+        else:
+            print(f"  SKIP (missing): {line}")
+    return out
+
+
+def main(argv):
+    if len(argv) < 2:
+        print(__doc__)
+        return 2
+    doomed = targets(argv[1])
+    # Stems come from the trash too, so re-running the pass (or running it after a
+    # partial destruction) still knows which names are dead and keeps scrubbing.
+    stems = {p.stem for p in doomed}
+    if TRASH.is_dir():
+        stems |= {p.stem for p in TRASH.rglob("*.md")}
+    moved = 0
+    for p in doomed:
+        dest = TRASH / p.relative_to(VAULT)
+        dest.parent.mkdir(parents=True, exist_ok=True)
+        shutil.move(str(p), str(dest))
+        moved += 1
+    print(f"destroyed {moved} pages ({sum(len(p.read_text(errors='replace').splitlines()) for p in TRASH.rglob('*.md'))} lines staged in trash)")
+
+    # Repoint-or-delete: a link to a destroyed page is itself dead information.
+    link_wl = re.compile(r"\[\[([^\]|#]+)(?:#[^\]|]*)?(?:\|([^\]]*))?\]\]")
+    link_md = re.compile(r"\[[^\]]*\]\(([^)#]*\.md)(?:#[^)]*)?\)")
+    pages_cleaned = links_dropped = lines_dropped = 0
+    for page in sorted(VAULT.rglob("*.md")):
+        s = str(page)
+        if ".AGENTTRASH" in s or ".obsidian" in s:
+            continue
+        text = page.read_text(errors="replace")
+        lines = text.split("\n")
+        out = []
+        hits = 0
+
+        def dead(target):
+            # NOT pathlib.Path(...).stem: that strips a real suffix off names like
+            # `Lemonade and sd.cpp`, so a link to a destroyed page survives and the
+            # vault then fails its own link check.
+            t = target.strip()
+            if t.endswith(".md"):
+                t = t[:-3]
+            return t in stems or pathlib.PurePosixPath(t).name in stems
+
+        for line in lines:
+            found = [t for t in link_wl.findall(line) if dead(t[0])]
+            for m in link_md.finditer(line):
+                if dead(m.group(1)):
+                    found.append(m.group(1))
+            if not found:
+                out.append(line)
+                continue
+            hits += len(found)
+            stripped = link_wl.sub(
+                lambda m: m.group(2) if (m.group(2) and not dead(m.group(1))) else "",
+                line)
+            stripped = link_md.sub(
+                lambda m: "" if dead(m.group(1)) else m.group(0), stripped)
+            # What is left of the line after the dead links are gone?
+            residue = re.sub(r"[\s\-*•·|:;,.\u2014\u2013]+", "", stripped)
+            if residue:
+                out.append(re.sub(r"\s+$", "", re.sub(r"^(\s*[-*]\s*)[\s:;,.\u2014-]+", r"\1", stripped)))
+            else:
+                lines_dropped += 1
+        if hits:
+            page.write_text("\n".join(out))
+            pages_cleaned += 1
+            links_dropped += hits
+    print(f"cleaned {pages_cleaned} surviving pages: {links_dropped} dead links dropped, "
+          f"{lines_dropped} lines left empty and deleted")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main(sys.argv))

scripts/download-frank-dragoon-npu.sh

@@ -0,0 +1,117 @@
+#!/usr/bin/env bash
+# download-frank-dragoon-npu.sh — stage the NPU half of frank-dragoon: the
+# vendor-precompiled AIE programs halogen-flash-server runs on the XDNA2 NPU
+# when HALOGEN_NPU_MODELS names them. These are NOT model weights you can
+# quantize yourself: XDNA2 executes only programs compiled by AMD's AIE
+# compiler, so the only source is peonist-ai's per-model NPU repo, and the
+# engine checks every file's size and sha256 against its own catalog at boot
+# (/opt/halogen/npu/models.txt inside the image) and refuses to load a model
+# whose files do not match.
+#
+# The manifest below IS that catalog block (dumped from the pinned 0.16.2
+# image on 2026-10-19), so the files land in the layout the entrypoint
+# expects — <dir>/<model-id>/devices/*, <dir>/<model-id>/<model-id>.hnpw and
+# <dir>/<model-id>/tokenizer/tokenizer.json — and the endpoint can keep
+# /models read-only and open no outbound connection at boot (HALOGEN_DOWNLOAD
+# stays unset; the vendor's own README: with it unset the container makes no
+# outbound connections at all).
+#
+# The fetch law, same as every sibling script: curl -f (an access error must
+# not become a "successful" 153-byte artifact), the exact byte count and the
+# sha256 from the manifest, --verify-only to re-check a staged set.
+#
+# Adding a second NPU model: read its block out of the image's catalog and add
+# a case below —
+#   podman exec frank-dragoon-halogen grep "^file <model-id> " /opt/halogen/npu/models.txt
+#   podman exec frank-dragoon-halogen grep "^model <model-id> " /opt/halogen/npu/models.txt
+# and add the model id to HALOGEN_NPU_MODELS in frank-dragoon.env.
+set -euo pipefail
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+ENV_FILE="${FRANK_DRAGOON_ENV_FILE:-$SCRIPT_DIR/frank-dragoon.env}"
+# The env file owns the staging path (it must sit inside the payload dir, which
+# is the container's only /models mount); an exported FRANK_DRAGOON_NPU_DIR wins
+# so the bats seam can stage somewhere disposable.
+DEST="${FRANK_DRAGOON_NPU_DIR:-}"
+if [ -z "$DEST" ] && [ -f "$ENV_FILE" ]; then
+    DEST="$(sed -nE 's/^FRANK_DRAGOON_NPU_DIR=(.*)$/\1/p' "$ENV_FILE" | tail -1)"
+fi
+: "${DEST:?FRANK_DRAGOON_NPU_DIR is not set and $ENV_FILE names no FRANK_DRAGOON_NPU_DIR}"
+HF="https://huggingface.co"
+
+MODELS="${HALOGEN_NPU_MODELS:-}"
+if [ -z "$MODELS" ] && [ -f "$ENV_FILE" ]; then
+    MODELS="$(sed -nE 's/^HALOGEN_NPU_MODELS=(.*)$/\1/p' "$ENV_FILE" | tail -1)"
+fi
+
+VERIFY_ONLY=0
+case "${1:-}" in
+    --verify-only) VERIFY_ONLY=1 ;;
+    "") ;;
+    *) echo "usage: ${0##*/} [--verify-only]   (models come from HALOGEN_NPU_MODELS)" >&2; exit 2 ;;
+esac
+[ -n "$MODELS" ] || { echo "no NPU model named — set HALOGEN_NPU_MODELS or run with it in the environment" >&2; exit 1; }
+
+# manifest <model-id> -> repo revision + one "path bytes sha256" per file.
+manifest() {
+    case "$1" in
+      qwen3-embedding-0.6b)
+        NPU_REPO="peonist-ai/halogen-npu-qwen3-embedding-0.6b"
+        NPU_REV="4960fd9d4423dd15373ad21c83db48dbdb3b2798"
+        FILES=(
+        "devices/NOTICE.md 3248 0f267b3d2523ddf14997ee58660a492a9eaf10ccf6b08bf19dfdc85b9a478b91"
+        "devices/consts.hnpb 5086496 ae430e41545a0b1012938cda373b0c450364d3be631111cca3a8c43679f93336"
+        "devices/devices.hnpm 24047 4e9bca9d95d084fb89ce5b99f579a00666c8ca1efae2613c53e3a4878cc9f174"
+        "devices/u0.elf 4931968 b38f165886cb037b7d3951d9cb878473eaba58a432acd45416ff85fd88aa4e46"
+        "devices/u1.elf 5456000 b1811feee851b8af833b37721da92099d89772110815bbbe2c3fa1c276f0ff42"
+        "devices/u2.elf 6505552 406ea9a95b470628a7382e376f4a72cdf4d7aa4c59b4ddf0a4bdd139d63d6ff2"
+        "devices/u3.elf 6817216 bc205d51b523d770151a0c61968f7c70bf624412827580bb6fe0aaf4650dc2ee"
+        "devices/u4.elf 7444032 a5a91338a2603acdcd5c11df532033fda2d3f5479ea44ae87f98fafbdff9a62d"
+        "devices/u5.elf 7432416 6c2bf41835569e0eba25ded7c05c7264ae69c6700bdeb4791057d884f2a4c126"
+        "devices/u6.elf 4941232 919d0038ca088eafddf195f3466ff38db27d3635be1cffa5d4d4b5140902a68e"
+        "devices/u7.elf 5488304 d904cf8afae9428dd167960549e18cce5441745f18c62f8c50975dffc077d3c2"
+        "devices/u8.elf 4941232 db3aef69b17825854ee0dd2df475125a3f5c872f95c686793d6af1ee83596fa7"
+        "devices/u9.elf 5488304 d182727e551084db8fb9600441d8aa373c7f09a3d267ae0a5e921ef92326db1c"
+        "qwen3-embedding-0.6b.hnpw 813032248 b9f9901429df7b46ec17153aa3899f738adbea8e4356080da0c6e6586fb750d1"
+        "tokenizer/tokenizer.json 11423705 def76fb086971c7867b829c23a26261e38d9d74e02139253b38aeb9df8b4b50a"
+        ) ;;
+      *)
+        echo "unknown NPU model '$1' — add its catalog block to manifest() in this script" >&2
+        return 1 ;;
+    esac
+}
+
+for MODEL in ${MODELS//,/ }; do
+    manifest "$MODEL" || exit 1
+    echo "== $MODEL  ($NPU_REPO@$NPU_REV) =="
+    for entry in "${FILES[@]}"; do
+        read -r f want sha <<<"$entry"
+        path="$DEST/$MODEL/$f"
+        mkdir -p "$(dirname "$path")"
+        if [ "$VERIFY_ONLY" -eq 0 ]; then
+            if [ -f "$path" ] && [ "$(stat -c %s "$path")" = "$want" ]; then
+                echo "HAVE  $f ($want bytes) — skipping fetch"
+            else
+                echo "FETCH $f -> $path"
+                # HF answers /resolve/ with a 302 to the Xet CDN and curl
+                # DROPS the Range header across redirects, so resolve the
+                # effective URL first and resume against the CDN (the sibling
+                # 62 GiB fetch hit this on 2026-10-18).
+                url=$(curl -sfIL -o /dev/null -w '%{url_effective}' "$HF/$NPU_REPO/resolve/$NPU_REV/$f") \
+                    || { echo "cannot resolve $NPU_REPO/$f" >&2; exit 1; }
+                curl -fL --retry 5 -C - -o "$path" "$url"
+            fi
+        fi
+        [ -f "$path" ] || { echo "MISSING $path (run without --verify-only)" >&2; exit 1; }
+        if [ -L "$path" ]; then
+            echo "SYMLINK $path — the serve gate refuses symlinks; replace with a real file" >&2
+            exit 1
+        fi
+        got="$(stat -c %s "$path")"
+        [ "$got" = "$want" ] || { echo "SIZE $path: $got != $want" >&2; exit 1; }
+        got="$(sha256sum "$path" | cut -d' ' -f1)"
+        [ "$got" = "$sha" ] || { echo "SHA256 $path: $got != $sha" >&2; exit 1; }
+        echo "OK   $f ($want bytes, sha256)"
+    done
+done
+echo "DOWNLOAD_DONE $DEST ($MODELS)"

scripts/download-frank-zealot-uncensored-lora.sh

@@ -0,0 +1,101 @@
+#!/usr/bin/env bash
+# Fetch the refusal-direction adapter that frank-zealot applies at load:
+# AtomicChat/Ternary-Bonsai-2-9B-Uncensored-LoRA-GGUF — a **3.2 MB rank-1 LoRA**
+# for prism-ml/Ternary-Bonsai-2-9B, not a checkpoint. Public repo: no auth
+# header, and never a token on the command line (a Bearer token is
+# world-readable in /proc/<pid>/cmdline).
+#
+# IT IS AN EDIT INSIDE THE COMPUTE GRAPH, NOT A SECOND MODEL. The card: B = -r
+# (the refusal direction, row 23 of its own probe matrix), A = P^T(s *
+# H(r^T W_fold)) built from the base pack's folded input basis, applied at every
+# transformer layer (`target_layers = all`, `sites = 64`), with the embedding
+# deliberately untouched because an embedding LoRA crashes this fork's graph.
+# `--lora-scaled <file>:<scale>` is the flag pair: scale 1 is the card's
+# "held-out refusals 0 %" point, scale 0 is the plain model again.
+#
+# THE RUNTIME IS A GATE, NOT A PREFERENCE. The card verified the adapter on
+# `prism-b10777-e3de715` — the exact build frank-zealot runs — and says older
+# forks (e.g. `prism-b10709`) refuse these packs with `unsupported
+# prism.hadamard.version: 2`. The fork is already pinned for the payload's
+# custom tensor type 142; this adapter adds a second reason it cannot move.
+#
+# PROVENANCE ASYMMETRY, STATED HONESTLY. The GGUF's own metadata names the pack
+# the direction was fitted against:
+#   prism.abliterate.base_gguf   = Ternary-Bonsai-2-9B-PTQ1_0.gguf
+#   prism.abliterate.base_sha256 = 3561df7ac7d26a71ffa991ac2db740b10841c3a350aa2676ccd3ff5d428b4e8b
+# frank-zealot serves the PQ2_0 + MTP + Q8_0-embedding packing (its sha256 is
+# c79fcdfa…, see download-frank-zealot-bonsai9.sh), which is NOT that file and is
+# not on this host. The adapter still applies — same tensor names, and the
+# metadata is provenance rather than a checksum gate — but its strength was
+# calibrated on a sibling quantization. What proves the effect here is the
+# behaviour of the endpoint (a refusal probe before and after the swap), not the
+# metadata and not the card's table, which was measured on PTQ1_0.
+#
+# Fresh downloads, no resume; -f/--fail-with-body so an HTTP error is not a
+# success, then byte count and sha256 (this repo is NOT LFS — the file is a
+# plain git object, so the sha below is the content hash of the Hub's bytes as
+# fetched, not an LFS oid). Idempotent: a complete file is skipped.
+#
+# Usage:
+#   scripts/download-frank-zealot-uncensored-lora.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/Bonsai2-9B-MTP}"
+
+REPO="AtomicChat/Ternary-Bonsai-2-9B-Uncensored-LoRA-GGUF"
+# name | bytes | sha256 of the Hub's bytes
+FILES=(
+  "Ternary-Bonsai-2-9B-Uncensored-LoRA.gguf|3155424|861b9c099fb5cd81438ba85bad30590847c777b1e18112586be7f4f9ae5fb07b"
+)
+
+mkdir -p "$DEST"
+status=0
+for entry in "${FILES[@]}"; do
+  IFS='|' read -r name size sha <<<"$entry"
+  url="https://huggingface.co/${REPO}/resolve/main/${name}"
+  f="$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 (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 $name ($(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"

scripts/frank-archon.env

@@ -1,306 +1,149 @@
-# frank-archon.env — radiance (StillDeadcode, Apache-2.0) serving the
-# PUBLISHER's 4-bit-codebook container of the official Qwen/Qwen3.8-Flash-Next
-# (MODEL_FILE below, fetched by scripts/download-frank-archon-iq4r.sh) on
-# BOTH R9700s (TP=2), dankserver :7770.
-# 2026-10-15 PAYLOAD SWAP: the model moved from the in-house w4dn8 conversion
-# of the Swift1.5 finetune to the engine author's published container
-# qwen3.8-next-flash-fp8-iq4r-moe.rad (116,322 MiB, sha256-verified at fetch —
-# the w4dn8 measured 116,416 MiB, so this shape carries over with 94 MiB to
-# spare). NO argument changed: every number below is the 2026-10-13 shape,
-# kept verbatim. The swap commit is the rollback (the w4dn8 payload stays on
-# disk).
-
+# frank-archon.env — radiance (StillDeadcode) on BOTH R9700s (TP=2),
+# Dankserver :7770, publisher's 4-bit-codebook container of the official
+# Qwen3.8-Flash-Next.
 #
-# SHAPE (2026-10-13): THREE decode slots x 200,000 tokens, fp8 (quantized) KV,
-# with the per-card budget spent on resident experts: 25,600 MiB of slab +
-# 5,120 MiB of pool = 30,720 MiB, inside the 30,969 MiB ceiling the engine's own
-# budget table allows (card 32,624 MiB, settle floor 209 MiB). The pool is sized
-# to the contract and nothing more (3 x 200,000 needs 5,063 MiB at fp8; 5,120
-# predicts 608,027 tokens, 1.3 % slack), because every MiB taken from the slab
-# is prefill and TTFT (2026-10-11 A/B: slab -14.8 % cost prefill -29 %, TTFT
-# +25 % at the full window) while KV beyond the contract buys nothing.
-# Consequence, deliberate: a FOURTH full-height conversation does not fit this
-# pair, and the engine refuses it — it never truncates. See the KV block for the
-# arithmetic and the measured dtype law. The w4dn8 payload is the swap
-# rollback and keeps its trio under the w4dn8 runbook; the fp8-native payload
-# that came before it was DELETED from disk 2026-10-15 (Frank's call, to free
-# the volume for this download — rebuildable via the fetch + build scripts
-# named in the fp8-native runbook).
-#
-# 2026-10-05 cutover from FreeToken (PR #587 ROCm, one card, experts in
-# pinned host RAM; git tag frank-archon-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-archon-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 is the DEPLOYED payload since
-# 2026-10-15. The card's own run line (--host-pool-mib 12288,
-# --expert-vs-cache-ratio 0.82, seqs 8, spec 3) is the publisher's
-# suggestion on 32 GB cards; this file's shape is the fleet's measured one.
-#
-# PAYLOAD: /home/dank/models/rad/qwen3.8-next-flash-fp8-iq4r-moe.rad — the
-# official Qwen3.8-Flash-Next bf16 checkpoint rad-converted by the engine's
-# own author (recipe qwen4exp-w4nl64-i8-hc8m: experts as 4-bit codes into a
-# 16-level non-uniform codebook after a 128-point Walsh–Hadamard rotation,
-# GPTQ + 3 coordinate-descent sweeps on a 10M-token calibration, ten
-# bf16-protected experts per layer, int8 W8A8 trunk + lm_head, fp8 HC
-# mixtures, PLE n-gram fp8 fixed-scale, MTP head, bf16 vision tower; card KL
-# 0.0789 all-tokens / top-1 92.85 % vs bf16). Fetched byte-exact + sha256 by
-# scripts/download-frank-archon-iq4r.sh; the recipe/LICENSE stay in the
-# staging dir beside it as provenance. ROLLBACK: revert the swap commit — the
-# in-house qwen4exp-swift15-w4dn8-i8-hc8m.rad (scripts/convert-swift15-w4dn8.sh,
-# KLD-gated) stays on disk. Behind it, the fp8-native
-# qwen4exp-fp8-native.rad was DELETED from disk 2026-10-15 (Frank's call,
-# one-time rm, to free the volume for this payload); rebuild =
-# scripts/download-frank-archon.sh + scripts/build-frank-archon-rad.sh — a
-# NO-RECIPE rad-convert copy of the official 131-shard checkpoint under the
-# descriptor law (no shipped plugin claims (qwen4exp, "fp8"), so the staging
-# config.json drops quantization_config; per-weight encodings are data, not
-# the descriptor).
-#
-# 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 .rad carries the model's mtp.* head (the publisher's recipe
-#   names the mtp.fc_hidden/fc_embedding/draft_head rules; card default
-#   depth 3). Served at the depth named by FRANK_ARCHON_SPEC_TOKENS below —
-#   the depth this shape's decode ladder was measured at.
-# - The fused TP all-reduce is declared over max-num-seqs x
-#   (1 + --num-speculative-tokens) rows; 3 x (1+2) = 9 rows, under the 25-row
-#   exactness bound of the wht6 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_ARCHON_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.
+# ONE OWNER: shape, payload identity, eras, laws and every measured number live
+# in serverAppConfigs-docs/LLM/frank-archon.md. This file carries the knobs plus
+# only the reason a reader editing THIS line cannot recover from the page.
+# Where the two disagree, this file wins on values; the boot ledger arbitrates
+# the engine shape.
+FRANK_ARCHON_IMAGE=stilldeadcode/radiance@sha256:d590e300234bf6d2f942a0b8d456d183153fd808f28820e6c2fa69c9389178ed
+# 1.8.1 (2026-10-18), pinned by digest. Two CLI breaks sit between it and the
+# 1.0.13 line this endpoint ran for two eras, and both are boot refusals, not
+# warnings: --vram-weights-mib/--vram-kv-mib were REMOVED at 1.3.0 (the card is
+# now split by the engine's budget resolver — see below), and the prefix cache
+# lost its disk tier. Draft acceptance has to be re-scored on any pin past 1.2.0:
+# 1.2.0's MoE weight rotation measured 0.7123 against the 0.7549 control, and the
+# suspect is untangled (the page's Dead ends section names it).
+# The .rad file mounts under /models; the tune cache mounts separately below.
+# The model dir holds ONLY .rad files — the HF download and staging stay beside it.
 FRANK_ARCHON_MODEL_DIR=/home/dank/models/rad
 FRANK_ARCHON_MODEL_FILE=qwen3.8-next-flash-fp8-iq4r-moe.rad
 FRANK_ARCHON_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.
+# state dir's tune/ subdir carries rad-tune's kernel-selection cache; the engine
+# reads $RADIANCE_HOME/tune/<machine>.tune and that defaults to /opt/radiance
+# (inside the image), so the cache only survives on a host mount.
+# Container identity is the SERVICE name: 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_ARCHON_CONTAINER=frank-archon
 FRANK_ARCHON_LEGACY_CONTAINERS="frank-archon-qwen frank-archon-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-archon 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.
+# Served id. Radiance VALIDATES the requested model name, so every client must
+# send exactly this value (unlike llama.cpp and halogen, which ignore it).
 FRANK_ARCHON_SERVED_NAME=frank-archon
 FRANK_ARCHON_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's chat-template call: froggeric's fixed Qwen3.8 template, vendored in
+# the repo; it overrides the template baked into the .rad, and radiance derives
+# the reasoning and tool-call reply format from it.
 FRANK_ARCHON_TEMPLATE=/home/dank/serverAppConfigs/scripts/qwen38-froggeric-v22.5.jinja
 
 # --- engine shape (the boot ledger arbitrates every number below) ---------
-# 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.
+# TP=2 needs the 2026-09-20 board (x8/x8 on root ports): a collective cannot be
+# dispatched on a card whose PCIe chain lacks atomics. Radiance's wire is
+# libr4d's own, not RCCL.
 FRANK_ARCHON_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.
+# Lossy WHT 6-bit wire for large all-reduces (publisher's production choice). It
+# stays EXACT for single-sequence decode and any step of <= 25 rows — see
+# MAX_SEQS x (1 + SPEC_TOKENS) below.
 FRANK_ARCHON_TP_WIRE=wht6
-# Decode slots: THREE, so the served window is a CAPACITY CONTRACT — three
-# concurrent conversations of --max-model-len fit the KV pool (see the KV
-# block below). The "seqs 2 cannot boot" law is NOT radiance's: it was the
-# tcclaviger vLLM fork's torch.compile shape specialization on
-# query_start_loc (ConstraintViolationError, measured 2026-10-02, retired
-# with that runtime). Radiance booted seqs 2 at the fp8-native first boot,
-# and the 2026-10-06 decode sweep measured seqs 2 and 3 statistically tied
-# (30.9-33.1 t/s, inside the +-3% noise floor) — slot count buys concurrency,
-# not speed, so a slot costs KV, never decode.
-# Cost of each extra slot: 110 MiB of per-slot recurrent state inside the KV
-# pool, and the fused TP all-reduce is declared over seqs x (1 + spec) rows —
-# 3 x 3 = 9 here, under the 25-row bound at which the wht6 wire stays EXACT
-# (single-sequence decode and any step of <= 25 rows is bit-exact; only busier
-# steps are lossy).
-# The pool is sized to this contract and nothing more (see the KV block):
-# 3 x 200,000 at fp8 = 5,063 MiB, pool 5,120, and the freed 1,792 MiB went into
-# the resident expert slab. The trade is explicit and it is Frank's call:
-# a FOURTH full-height conversation no longer fits (5,120 MiB of pool backs
-# ~608k tokens; 4 x 200,000 needs 6,601), so a fourth 200k request is refused
-# as too large to fit — it is NOT squeezed, paged, or truncated. Third-party
-# traffic that wants four full-height sessions is a --vram-kv-mib change, not
-# a code change.
-FRANK_ARCHON_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. The engine treats
-# `kv group tokens >= max-model-len` as a HARD limit ("ONE request longer
-# than N tokens is accepted by the API and then refused as too large to ever
-# fit — this is a hard limit, not a backing ratio"), so the pool is sized
-# for seqs x maxlen, not for one sequence.
+# Decode slots. A slot costs KV and pinned RAM, never decode: the cache target is
+# exactly MAX_SEQS x MAX_MODEL_LEN and the checkpoint store asks (1 + what the
+# retention policy keeps) per slot. Ordered 2026-10-20: FOUR slots over a pool of at
+# least 700,000 fp8 tokens, rounding UP if the resolver cannot land it exactly. The
+# target is therefore 4 x 200,000 = 800,000 tokens and HOST_POOL_MIB decides whether
+# the cache gets it (expert_vram_floor, core/place/planner.cpp:100-104: the card must
+# keep expert-plane-minus-host-room). The 2-slot shape was the answer to a
+# 365,204-token pool that backed 1.8 full-height sessions; at this pool the third and
+# fourth conversations are backed by the cache instead of over-committing it.
+FRANK_ARCHON_MAX_SEQS=4
+# Served window. The engine treats `kv group tokens >= max-model-len` as a HARD
+# limit, and models.yml contextWindow MUST quote this number (over-length is a
+# refusal, not a truncation). The pool is sized for seqs x maxlen, not one
+# sequence.
 FRANK_ARCHON_MAX_MODEL_LEN=200000
 FRANK_ARCHON_PLACEMENT=expert_tiered
-# Pinned host pool for the expert rows that do not fit VRAM. vram_weights and
-# this pool serve the per-rank resident set TOGETHER: at the fp8-KV pair
-# (26071/3543) the ledger showed the VRAM slab filled to 259 KiB of slack,
-# i.e. the pair was exactly sized. Cutting vram-weights by 3.8 GiB to pay for
-# the bf16 KV pool SPILLS ~3.8 GiB/rank here, so the pool moves with it —
-# under-sizing it is a boot failure (36864 refused the boot in the fp8 era).
-# The boot ledger's coverage line remains the referee, not this arithmetic.
-FRANK_ARCHON_HOST_POOL_MIB=44928
-# VRAM left unclaimed per card (publisher default 96 MiB).
+# Pinned host pool for expert rows that do not fit VRAM, PINNED ONCE PER RANK: the
+# host must pin tp x this number, and the refusal that names it is
+# core/engine_bringup.cpp:250-265. Under the budget resolver this is ALSO the KV
+# lever -- the card keeps expert-plane-minus-this-room, so every MiB added moves one
+# MiB of experts off the card and into the cache. Derived from the boot ledger (a
+# 23.73 GiB floor at 44,928 room puts plane + 2 units at 67.60 GiB a rank), 49,152
+# drops the floor to 19.6 GiB and leaves the cache ~6.9 GiB, which is enough to back
+# the whole 4 x 200,000 target; the leftover returns to the experts. Cost is paid
+# twice over: pinned RAM (tp x 48 GiB, against the TTM target below) and expert
+# residency -- ~3.2 GiB a card of experts now lives in host RAM and is read over the
+# x8 link when the router picks it. The ledger's coverage line is the referee, not
+# this file: if vram_kv comes back under 700,000 tokens, raise this 1024 and redeploy.
+FRANK_ARCHON_HOST_POOL_MIB=49152
+# VRAM left unclaimed per card (publisher default 96 MiB); the engine's settle
+# floor is built from it.
 FRANK_ARCHON_GPU_HEADROOM_MIB=96
-# VRAM split of claimed memory per card, MiB (0 = derive from the card).
-# THE CEILING, read off this engine's own VRAM-budget table (boot 2026-10-13,
-# pair 24000/5120): card 32,624 MiB; budgets claimed 29,120; `3.42 GiB is
-# neither budgeted nor accounted — the driver's context, the activation arena
-# and --gpu-headroom-mib come out of it; anything past those is throughput on
-# the floor`; and `card 0 settled at 2.01 GiB free against 209.19 MiB (the
-# 96.00 MiB --gpu-headroom-mib and 113.19 MiB kept for the static region)`.
-# So the reserve above the ENGINE's floor is 2,058 - 209 = 1,849 MiB and the
-# ceiling is 29,120 + 1,849 = 30,969 MiB. The 2026-10-11 bound of 29,120
-# ("31,856 - 1,710 outside both budgets - keep 1 GiB free") was MY reserve, not
-# the engine's; the pair below spends the difference and lands 458 MiB above
-# the engine's floor. `weights + kv <= 30,969` is the gate.
-# THE PRICE, and it is paid twice: on this engine idle KV VRAM is ALSO the
-# expert cache's spillover (`mover: 2275 slots can be lent out of the KV
-# cache (2.69 GiB)`, `arena: lends 740 MiB while steps are <= 256 tokens`),
-# so a bigger KV pool steals weight residency from the slab AND from the
-# lendable cache. Priors on this card/model: stealing 2.14 GiB of weights for
-# a bigger pool (MAX_MODEL_LEN 262144) cost 2.5% decode; the EVC ladder's
-# other direction (0.82 -> 0.84, +2.5 GiB weights) cost 8.9%. The 2026-10-11
-# exact-KV A/B measured the slab's own price (22208 vs the fp8-era 26071):
-# prefill -29 %, TTFT at the full window +25 %, decode inside the noise band on
-# 2 of 3 passes, draft acceptance UP 0.661 -> 0.740.
-# 2026-10-13 (late): THREE slots, so the pool is cut to the contract (5,120)
-# and every spare MiB goes to the slab: 22208 -> 24000 (the third slot's
-# surplus KV), then 24000 -> 25600 (the card's settling slack). The direction
-# the A/B data points: prefill is slab-limited, KV beyond the contract is not.
-# The margin is thin by design (608,027 predicted tokens against the 600,000
-# contract), so the boot ledger's `backs N sequences all at 200000 tokens at
-# once` line is the referee for THIS pair and the concurrent probe is its
-# regression test.
-# VERDICT on the 25,600 arm (measured 2026-10-13, scripts/probe-frank-archon-kv.py):
-# the threshold claim is FALSIFIED — the slab is a SLOPE at this end. A-cold
-# 43.5k single-stream: 22,208 -> 3,397, 24,000 -> 3,290, 25,600 -> 3,584 t/s;
-# the 3-way 197k arm's aggregate prefill 3,051 -> 3,589 t/s (wall
-# 193.7 -> 164.5 s). So +1,600 MiB of slab = +8.9 % single-stream and
-# +17.6 % concurrent, both outside the +-3 % noise floor. The 22,208/24,000
-# pair landed inside noise of EACH OTHER, which is what made it read as a
-# plateau; two points are not a curve.
-# The cliff that remains is between 25,600 (3,584) and 26,071 (4,379, the
-# 2026-10-11 fp8 control at seqs 3 / pool 3,543) — +22 % for +471 MiB. At THREE
-# slots that is only reachable by breaking the ceiling (26,112 + 5,120 = 31,232
-# vs 30,969, ~214 MiB above the engine's floor); at TWO slots it is free:
-# pool 3,072 + slab 27,897 = exactly the ceiling, slab above the cliff.
-FRANK_ARCHON_VRAM_WEIGHTS_MIB=25600
-FRANK_ARCHON_VRAM_KV_MIB=5120
-# KV cache QUANTIZED (fp8). This engine's flag takes ONLY bf16|fp8 — there is
-# ONE kv_dtype for the whole cache, so "exact K, quantized V" (llama.cpp's
-# --cache-type-k/--cache-type-v pair, which is what frank-zealot runs) is
-# UNSERVABLE here: the rung below bf16 is fp8 on both halves.
-# Measured per-rank cost, read out of the boot ledger's group table (fp8 boot
-# 2026-10-08, bf16 boot 2026-10-11):
-#   kv_attn     13 layers, 4-token blocks, page 26.00 KiB (fp8) -> 52.00 KiB
-#   kv_qsa_bkey 13 layers, 4-token blocks, page  3.25 KiB at BOTH dtypes —
-#               the QSA block key is an index, not attention state, and does
-#               NOT follow --kv-cache-dtype
-#   => 7.3125 KiB/token fp8, 13.8125 KiB/token bf16: bf16 costs 1.89x fp8,
-#               not 2x, precisely because the bkey plane is dtype-fixed.
-# The dtype-INDEPENDENT terms also live in the pool: kv_gdn_state 54 MiB x 2
-# copies per sequence (+ conv/tail/ple ~= 110 MiB a sequence) and the prefix
-# checkpoint region 8 x 55.99 = 448 MiB. So:
-#   pool_mib >= tokens x 7.3125 KiB + 110 x seqs + 448
-#   3 x 200,000 at fp8 needs 4,285 + 330 + 448 = 5,063 MiB; the pool is 5,120,
-#   and it predicts (5120 - 330 - 448) x 1024 / 7.3125 = 608,027 tokens: the
-#   three-slot contract with 1.3 % slack, every MiB above 5,063 having been
-#   handed to the expert slab instead. The ledger line is the referee ("backs N
-#   sequences all at 200000 tokens at once") — a pair this tight is read off the
-#   boot, never assumed.
-#   At bf16 the same three slots cost 8,093 + 778 = 8,871 MiB, which would cut
-#   the slab to 20,249 MiB (-9 %); at FOUR slots bf16 costs 10,791 + 888 =
-#   11,679 MiB and the slab falls to 17,441 (-33 %). fp8 keeps 22,208 at both
-#   slot counts. The 2026-10-11 bf16 shape (6,912 / seqs 2) backed 462,752
-#   tokens = 2 x 200,000; the historical fp8 pool of 3,543 gave 386,904 (1.93
-#   sessions), and the four-slot fp8 boot of 2026-10-13 19:21 backed 843,276.
-# Secondary saving: the prefix-cache entry shrinks with the attention plane
-# (one entry 110.50 KiB at bf16 -> 58.50 KiB at fp8, measured on the two boot
-# ledgers' `kv tier transfer` lines), so the host tier below parks twice as
-# many conversations as it did at bf16 — no re-size needed to park three slots.
+# There is no VRAM pair any more. --vram-weights-mib/--vram-kv-mib were removed
+# at 1.3.0: the engine takes capacity - already-held - GPU_HEADROOM - arena,
+# puts the static (non-expert) weights off the top, then divides the rest between
+# the expert plane and the KV cache — experts first when the cache has no idle
+# blocks to lend, and never less than ONE MAX_MODEL_LEN sequence for the cache.
+# What moves the split from here is HOST_POOL_MIB (which experts stay resident),
+# MAX_MODEL_LEN/MAX_SEQS (the cache bound) and GPU_HEADROOM_MIB. The slab size
+# the prefill-slope law cares about is a boot-ledger line now, not a knob: read
+# it after every resize instead of asserting it here.
+# fp8 is the ONLY rung below bf16 on this engine: one kv_dtype for the whole
+# cache, so llama.cpp's exact-K/quantized-V split (frank-zealot) is unservable
+# here. bf16 costs 1.89x fp8, not 2x — the QSA block-key plane is dtype-fixed.
 FRANK_ARCHON_KV_DTYPE=fp8
-# Spec decode: the checkpoint's own MTP head, served at depth 2 — the
-# publisher's card ships depth 3 as its peak; this fleet's ladder was
-# measured at 2 and the swap keeps every argument, so 2 stays (rows
-# 3 x (1+2) = 9, inside the wht6 25-row exactness bound).
+# The checkpoint's own MTP head at depth 2: this fleet's ladder was measured at
+# 2, and 3 x (1+2) = 9 rows stays inside the wht6 25-row exactness bound.
 FRANK_ARCHON_SPEC_TOKENS=2
 FRANK_ARCHON_MAX_BATCHED_TOKENS=2048
-# Prefix cache tiers (publisher pattern). The host tier is sized in ENTRIES,
-# and one entry tracks the cache dtype (58.50 KiB at fp8, 117 KiB at bf16, per
-# the ledger's `kv tier transfer` line): at fp8, 8192 MiB parks ~5.8 sessions
-# of 200k (at bf16 the same tier parked ~2.9), so four live slots plus a full
-# parked set fits with the tier as it stands — at RAM the host has (104 GiB
-# available with the service loaded).
-FRANK_ARCHON_PREFIX_HOST_MIB=8192
-FRANK_ARCHON_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.
+# Step sharing. A prefill chunk that shares a step with decoding sequences holds
+# the device for the chunk's whole time, and every decode row in that step waits
+# that long for its next token: measured at this shape, decode-only steps 15.5 ms
+# against chunk steps 166 ms, which is the harness's ~146 t/s falling to ~11 t/s
+# while another session prefills (law and census: [[frank-archon]]).
+# `auto` is a PREFILL-SPEED dial, not a decoder dial: it reserves one row plus the
+# draft window per decoding sequence (3 tokens) and an eighth of the budget per
+# waiting request or waiting prefill, and the source states it will not halve for
+# decode rows alone. Live proof: prefill_chunks_capped 5,018 across 62,386 chunk
+# steps. A number is the only value that applies whenever the chunk shares a step,
+# and it must not go under the prefill stager's smallest pass -- 1025 rows here,
+# named on the boot line "prefill staging: ... a step of more than 1024 tokens" --
+# because below it every routed layer reads its pooled experts synchronously, so
+# 512 is a trap and the vendor measures the whole job slower there. Interleave
+# inserts N decode-only steps after a chunk step taken beside decoders: it protects
+# their cadence and holds a waiting request out of those steps. That is the decoder
+# dial. ARMED at 1 on 2026-10-20: at N=1 a stream takes its token from the chunk step
+# AND one from the held step, ~2 tokens per 182 ms instead of one per 166 ms; the
+# price falls on the prefilling prompt (its chunks lose every held step) and on any
+# request still waiting to enter. `--prefill-span` re-funds a prefill only when it is
+# ALONE, so it cannot buy this back while decoders run. Meter:
+# radiance:engine_steps_held_total must leave zero, and the §9 buckets must move
+# before N rises.
+FRANK_ARCHON_BUSY_PREFILL_CHUNK=auto
+FRANK_ARCHON_PREFILL_INTERLEAVE=1
+# Prefix cache: pinned host memory only. The disk tier was removed outright
+# (--prefix-cache-dir and --prefix-cache-disk-mib are refusals), so what used to
+# be restored from NVMe is now re-prefilled. The tier is sized in ENTRIES and one
+# entry tracks the cache dtype (58.50 KiB at fp8). Watch prefix_hit_rate after
+# this change: a drop is extra prefill, and prefill is exactly the traffic that
+# costs decode its cadence.
+FRANK_ARCHON_PREFIX_CACHE_MIB=8192
+# Frank's pin law: the PLE n-gram table serves from pinned host RAM the cards
+# read. `ram` REFUSES the start if memlock is too small — the unit's
+# LimitMEMLOCK=infinity is the other half of this law.
 FRANK_ARCHON_NGRAM_PLACEMENT=ram
-# TTM preflight: the pinned ledger (2 x 44 GiB pools + 47.7 GiB PLE + 8 GiB
-# prefix host = ~147 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 the plan the load dies
-# mid-pin with an allocator error instead of this named refusal.
-# THE CAP IS A RUNTIME KNOB — the kernel default is half of RAM, so every
-# raise dies with a reboot. Measured the hard way: the 2026-10-05 manual raise
-# to 52,428,800 pages (200 GiB) was gone after the 2026-10-12 23:17 POWER
-# FAILURE, the cap fell back to 125,988 MiB, and the preflight refused the
-# start 6,919 times in ~20 h while Restart=always re-ran it. The gate in
-# scripts/ttm-preflight.sh now RAISES the knob itself before refusing (the
-# root unit is privileged; the knob is a 0644 root module parameter), so the
-# recovery is a boot, not a visit to the machine.
-FRANK_ARCHON_TTM_MIN_MIB=150000
+# TTM preflight. The pinned ledger rides TTM's shared pages, and the kernel
+# RESETS pages_limit to half of RAM on every boot; below the plan the load dies
+# mid-pin with an anonymous allocator error. ttm-preflight.sh raises the knob
+# itself before refusing by name, so recovery is a boot, not a visit.
+# Floor = 2 x HOST_POOL + 48,824 (static weights + arena) + PREFIX_CACHE + MNBT + the
+# auto checkpoint store (MAX_SEQS x 10 slots of 111.98 MiB), per the bats ledger test;
+# at the 49,152 pool with 4 slots that computes to 161,848 MiB.
+FRANK_ARCHON_TTM_MIN_MIB=162000
 FRANK_ARCHON_TTM_TARGET_MIB=204800
-# 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.
+# Escape hatch for experiments. Unset -> no extra argv; the serve script expands
+# this unquoted on purpose, so keep multi-flag values as one string.
 FRANK_ARCHON_EXTRA_ARGS=
-# The .rad's minimum size in MiB (deployer gate; a truncated fetch is a
-# guaranteed long-timeout boot instead of a fast failure). The deployed
-# publisher container measures 116,322 MiB (121,969,901,568 B); the
-# in-house w4dn8 rollback measured 116,416 MiB. Floor sits just under both.
+# Deployer gate: a truncated fetch must be a fast refusal, not a long-timeout
+# boot. Floor sits under the live payload and under every rollback payload
+# (see the page's Eras table for what is on disk and what needs a re-download).
 FRANK_ARCHON_RAD_MIN_MIB=110000

scripts/frank-dragoon.env

@@ -1,209 +1,137 @@
 # frank-dragoon.env — tunables for the frank-dragoon endpoint on Dankclaw's
 # Strix Halo iGPU (gfx1151), host port 7770.
 #
-# RUNTIME (2026-10-17, 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 Quat3rnion/halogen-qwen3.8-flash-next-v2-
-# abliterated — the NATIVE v2 conversion (2026-10-11) of orcarouter's pinned
-# BF16 Qwen3.8-Flash-Next, abliterated — as a podman container under a root
-# unit, driven by scripts/serve-frank-dragoon.sh. This CUTS OVER the
-# 2026-10-06 Swift1.5-finetune shape; rollback = revert the swap commit and
-# redeploy: the swift15 payload stays on disk at
-# /home/dank/models/halogen-flashnext-v2/, the 27B-era payload beside it.
+# ONE OWNER: payload identity, shape, eras, laws and every measured number live
+# in serverAppConfigs-docs/LLM/frank-dragoon.md. This file carries the knobs
+# plus only the reason a reader editing THIS line cannot recover from the page.
+# Where the two disagree, this file wins on values; the boot ledger arbitrates
+# the memory figures.
 #
-# MEASURED A/B, both boots on this box, identical battery traffic (engine
-# tools with the service stopped, behavior probes against it, 2026-10-17):
-# NIAH 18/18 vs 17/18, refusal census 0/5 on both, tool calls and the
-# red-PNG vision probe identical, needle hit at both depths of a 21.5k-token
-# haystack, decode 50.0 vs 46.8 t/s, cold prefill 1,604 vs 1,425 t/s,
-# wikitext-2 PPL 3.968 vs 3.877 (the finetune's edge is gone: +2.3 %) and
-# thinking tokens 1,476 vs 784 mean — the finetune compressed reasoning, the
-# base thinks ~1.9x longer per answer.
-#
-# The A/B ran at the card's ctx/pool of 262,144. Afterwards Frank lowered ctx to
-# 200,704 (RAM + the harness's compaction budget) and, on 2026-10-18, raised the
-# pool to 2 x ctx = 401,408 so BOTH slots can carry a full-length request at
-# once; the rates above are the ceiling-262,144 record and the production ledger
-# is the ctx-200,704 one.
-#
-# 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 — served at 200,704 by
-# choice from 2026-10-17 (see SHAPE: the ceiling is a RAM decision, not a
-# capability limit).
-#
-# SHAPE — the knobs that are NOT free, with the arithmetic:
-#   HALOGEN_CTX=200704 is the PER-REQUEST ceiling and the per-conversation
-#   hard limit — a prompt over it is a 400 naming the limit, never a silent
-#   truncation. LOWERED from 262,144 on 2026-10-17 at Frank's direction (the
-#   checkpoint's native window is 262,144 and the engine serves anything
-#   below it): every position costs KV pool RAM and shrinks the prompt-cache
-#   entry (111 MiB at 262,144, ~85 MiB here). The 400-zone law is INVARIANT
-#   to the value — it says the harness window must sit ~45k UNDER the engine
-#   ceiling, because 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 % (measured 2026-10-07
-#   at the old 200,192 ceiling: est 152,938, server 157,388, over by 354).
-#   Harness contract (models.yml): contextWindow 155648 (= ceiling − 45056,
-#   the gap that absorbs the estimate error), maxTokens 45056.
-#   Compaction fires at 85 % = 132,301 est ≈ 136k measured — the 180k target
-#   of the 262,144 era is unreachable at this ceiling: the window itself is
-#   155,648. Worst-case request: prompt + budget <= 155648 − 4096 + 3 %
-#   est-error ≈ 156.2k <= 200,704 — ~9.5× the 3 % error of margin (robust to a
-#   ~25 % under-count). Compaction rides on frank-zealot: input ≈ threshold −
-#   keepRecent(20k) ≈ 112k, inside its 200,704 slot.
-#   HALOGEN_KV_POOL_POSITIONS=401408 = SLOTS x CTX (2 x 200,704), the top of the
-#   legal band (the seam enforces ctx <= pool <= slots * ctx). Still ONE pool
-#   behind HALOGEN_KV_SLOTS=2 (ledger form: "2 slots over ONE <pool>-position KV
-#   pool, each request up to HALOGEN_CTX"), but sized so BOTH slots can hold a
-#   MAXIMUM-length request at the same time — the parity with frank-zealot's
-#   401,408-position pool that Frank ordered on 2026-10-18. The PER-REQUEST
-#   ceiling does NOT move with it: HALOGEN_CTX stays 200,704, because the
-#   checkpoint's native window is 262,144 and the engine refuses to go past it
-#   without HALOGEN_ROPE_YARN (its own 400 text says so). ~28 KiB/position
-#   (FLAGS.md) ⇒ the DEPLOYED 2026-10-18 boot RESERVES 11.0 GiB (`reserving the
-#   KV pool, 401408 positions (about 11.0 GiB)`), where pool == ctx (200,704)
-#   cost 5.5, 262,144 cost 7.2 and the 2026-10-06 shape's 524,288 measured 14.6.
-#   The preflight formula bills 11.3 (block scratch + ~115 MiB/slot of O(1)
-#   state) — quote the RESERVATION. FLAGS.md law: "RAM the pool
-#   takes is RAM that table loses" — the 47.68 GiB n-gram table surrenders this
-#   much page cache, so the warm prompt-cache ratio is what to re-measure.
-#   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 boot
-#   ledger agrees: "mapped 51.2 GB, NOT pinned (Pin::None)"):
-#     weights 62.9 GiB locked (0.8 of them the vision tower) + KV 11.0 +
-#     working 5.7 (HALOGEN_MAX_TOK=8192) = 79.6 GiB engine-side (the boot
-#     ledger of the 401408-position deploy, 2026-10-18), with the 1.3 GiB
-#     prompt cache (12 entries x 111 MiB at ctx 200704) booked separately by
-#     the ledger; HALOGEN_HOST_RESERVE_GIB=20 keeps the host honest. Against
-#     the 121.2 GiB box that leaves ~20 GiB over the reserve (MemAvailable
-#     read 22 GiB right after the raise) for baseline co-tenancy
-#     (frank-zealot, ComfyUI, Caddy/observ ~10-15). 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".
-#   * Concurrency at depth is tight now: the KV pool is ONE 200,704-position
-#     budget behind 2 slots — exactly one maximum-length request fills it. Two
-#     conversations coexist only while they stay under ~100k each. The
-#     PER-REQUEST ceiling moved WITH the pool (262144 -> 200704), so the harness
-#     contract moves too: contextWindow 155648 = ceiling − 45k, never higher.
-#   * 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).
-
-# 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.
+# The .hgn format is the lock: it loads ONLY in the flash-server line, so the
+# engine moves with the payload, never ahead of it.
+# Image digest-pinned (a tag pull silently re-points; the digest is what was
+# qualified — 0.16.2 is the version the model card names as its quickstart pin).
 FRANK_DRAGOON_IMAGE=ghcr.io/peonist-ai/halogen-flash-server@sha256:0c61bf84ac22308a53f5d1ca6b86806702d7039e5ebc51cae4c66621b92fe04a
-# Container identity: kept from the 27B era (unit ExecStop names it).
+# Container identity kept from the 27B era: the unit's ExecStop names it.
 FRANK_DRAGOON_CONTAINER=frank-dragoon-halogen
-# Old quadlet-era container identity; the serve script clears stale names.
+# Predecessor identity the serve script clears if it is still holding the GPUs.
 FRANK_DRAGOON_LEGACY_CONTAINERS=frank-dragoon
-# host:container — the frontend listens on 8731 inside (HALOGEN_API_PORT
-# default); the engine port (8730) is never published.
+# host:container — the frontend listens on 8731 inside; the engine's own port
+# (8730) has no auth and is NEVER published.
 FRANK_DRAGOON_PUBLISH=7770:8731
 
 FRANK_DRAGOON_MODEL_DIR=/home/dank/models/halogen-v2-abliterated
-# The checkpoint: Quat3rnion/halogen-qwen3.8-flash-next-v2-abliterated
-# qwen38-flash-next-v2-abliterated.hgn — the NATIVE 2026-10-11 v2 conversion
-# of orcarouter's pinned BF16 Qwen3.8-Flash-Next, abliterated. NOT the writer
-# transplant this filename used to carry: 66,687,678,432 B where the swift15
-# r2 measured 66,687,678,464 B — same filename family, different artifact.
-# Hub LFS sha256 verified at fetch by scripts/download-frank-dragoon-v2abl.sh.
+# Same filename family, DIFFERENT artifact: this is the native v2 conversion,
+# 32 bytes smaller than the writer transplant that used to carry the name.
+# Never infer the payload from the filename — this size and sha256 are the gate.
 FRANK_DRAGOON_CHECKPOINT=qwen38-flash-next-v2-abliterated.hgn
 FRANK_DRAGOON_CHECKPOINT_BYTES=66687678432
 FRANK_DRAGOON_CHECKPOINT_SHA256=b5bd925fa2b44343be4a2cd328cae6b57ce7ffa2fe2cc56281717377e5a1ce8a
-# 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.
-# The card does NOT establish this stock table as matched to the NATIVE
-# conversion and no source-matched table is published, so the engine's own
-# tools are the referee: NIAH 18/18 and PPL 3.968 on it (2026-10-17). It is
-# HARDLINKED from the swift15 payload dir (a hardlink is a regular file; the
-# serve gate refuses symlinks), i.e. byte-identical to the file that era
-# served.
+# The n-gram table is REQUIRED (the engine reads it beside the checkpoint) and
+# disk-backed: mmap'd page cache, never pinned. It is a stock peonist companion
+# hardlinked from the previous payload dir — a hardlink is a regular file, and
+# the serve gate refuses symlinks — with the engine's own NIAH/PPL verdicts on
+# the page as the referee.
 FRANK_DRAGOON_NGRAM_TABLE=qwen38-flash-next-ngram.hgn
 FRANK_DRAGOON_NGRAM_BYTES=51200246144
 FRANK_DRAGOON_NGRAM_SHA256=3450acada94e19aabad88bd49b45eb70304820949c2240fc178067b20ae5dffe
-# The vision tower: OPTIONAL on the engine, ENABLED here (image input).
-# From peonist-ai/halogen-qwen3.8-flash-next @ e053f488.
+# Vision tower: optional on the engine, ENABLED here (image input).
 FRANK_DRAGOON_VISION_TOWER=qwen38-flash-next-vision.hgn
 FRANK_DRAGOON_VISION_BYTES=897916416
 FRANK_DRAGOON_VISION_SHA256=d62e0ae553fe88afd3833733d4a4c669f34d20fd8dfce4b9610525bed2134b10
-# The tokenizer is a FLAT DIRECTORY, $FRANK_DRAGOON_MODEL_DIR/tokenizer,
-# mounted whole at /tokenizer. The two repos ship the same one; fetched
-# fresh from peonist @ e053f488 (tokenizer.json is LFS, byte-identical to
-# the 27B-era copy; the rest are plain git blobs — size-checked only). The
-# serve gate and the deployer refuse a missing file or ANY symlink: an HF
-# cache snapshot symlinks each file into blobs/, and those links dangle
+# The tokenizer is a FLAT DIRECTORY ($FRANK_DRAGOON_MODEL_DIR/tokenizer) mounted
+# whole. 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_DRAGOON_TOKENIZER_FILES="tokenizer.json chat_template.jinja tokenizer_config.json merges.txt vocab.json generation_config.json"
 
 # --- 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-dragoon name. OpenWebUI api_configs
-# model_ids for the :7770 backend MUST name this value.
+# Served id. OpenWebUI api_configs model_ids for the :7770 backend MUST name it.
 HALOGEN_MODEL_ID=frank-dragoon
-HALOGEN_CTX=200704
+# PER-REQUEST ceiling, set to the checkpoint's NATIVE window (262,144 — a
+# longer prompt is a 400 naming the limit, never a truncation; stretching
+# past native would need HALOGEN_ROPE_YARN and is not on plan). The harness
+# `contextWindow` must sit ~45k under THIS number (the 400-zone law on the
+# page): with the window at 200,000 the gap is 62,144, which absorbs the
+# chars/4 under-count. A window at or near the ceiling makes every long
+# request a guaranteed 400.
+HALOGEN_CTX=262144
+# ONE pool behind both slots. The harness window is 200,000, so 401,408
+# still carries TWO maximum harness-length conversations at once
+# (2 x 200,000 + one 45,056 budget <= pool + cap headroom); two literal
+# ceiling-length requests would queue instead — buying those means raising
+# the pool, and RAM the pool takes is RAM the n-gram table's page cache
+# loses. Pool positions buy concurrency; the per-request window never moves
+# with them. Legal band: ctx <= pool <= slots * ctx (the seam enforces it).
 HALOGEN_KV_POOL_POSITIONS=401408
+# Two concurrent conversations: the MTP drafter is not slot-locked on this
+# engine, so the second slot is capacity, not a speculation tax.
 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.
+# The MTP head is INSIDE the checkpoint — do NOT set HALOGEN_MTP_HEAD.
+# 0 is mandatory: the adaptive default disarms the head for whole requests after
+# low acceptance and halves decode. Depth 2 is the card's best-all-round default.
 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).
+# Coupled trio: MAX_TOK is only the default for requests that omit max_tokens;
+# the cap bounds how long ONE request holds the GPU and the queue timeout bounds
+# how long the NEXT client waits. Move all three together or none.
 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.
+# The engine has a server-side sampler (an absent temperature is NOT greedy
+# here); models.yml extraBody carries the same recipe.
 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).
+# Weights stay pinned: the engine pins by default and only the retired w4b build
+# honored HALOGEN_FLASH_PIN_TRUNK=0, which this payload rejects.
 HALOGEN_WEIGHTS_LOCK=1
+
+# --- NPU lane (XDNA2) -------------------------------------------------------
+# HALOGEN_NPU_MODELS is the whole switch: EMPTY or unset = the endpoint exactly
+# as it ran before this lane existed (no accel device, no XRT mount, no
+# fabric-clock dependency, no /v1/embeddings). Rolling the lane back is blanking
+# this one line and re-deploying — nothing else moves.
+# Names are the vendor catalog's folder names (`/opt/halogen/npu/models.txt`
+# inside the image) and the engine reads a model ONLY at /models/npu/<name>/ —
+# HALOGEN_NPU_DIR is gone from the image and setting it is a boot refusal.
+# The engine cannot fetch anything here: /models is read-only and
+# HALOGEN_DOWNLOAD stays unset so the container opens no outbound connection at
+# boot, so scripts/download-frank-dragoon-npu.sh must stage the files first
+# (the serve gate and the deployer both refuse by name when a named model is
+# missing). FRANK_DRAGOON_NPU_DIR therefore lives INSIDE the payload dir: the
+# payload mount is the container's only handle on /models, and runc cannot
+# mkdir a nested /models/npu mountpoint through a read-only bind — the lane's
+# first boot died on precisely that (2026-10-19). Swap the payload dir and this
+# path moves with it.
+# Cost: ~1.5 GiB extra pinned host RAM per named model, and a hard dependency on
+# the host holding the GPU fabric clock — on Strix Halo the iGPU and the NPU
+# together hang the machine (and corrupt NPU results) while FCLK changes speed,
+# so halogen refuses to start with this variable set unless the clock is held
+# (dankclaw/host/halogen-fabric-clock; the deployer installs and gates it).
+HALOGEN_NPU_MODELS=qwen3-embedding-0.6b
+FRANK_DRAGOON_NPU_DIR=/home/dank/models/halogen-v2-abliterated/npu
+# Node paths and the XRT directory are variables so the bats seam can drive
+# these gates on a box with no NPU. Ubuntu's distro XRT (libxrt2 + libxrt-npu2)
+# is mounted FILE BY FILE and THREE TIMES EACH — where the image looks for XRT
+# (/opt/xilinx/xrt/lib), at its own path (those libraries find each other at
+# their install path), and at /opt/xilinx/lib/<multiarch>/ (the NPU child
+# searches that third prefix; without it the lane dies naming it and the
+# supervisor takes the container down — 2026-10-21 boot loop). The basename of
+# this directory IS the multiarch name. The vendor forbids mounting an
+# /opt/xilinx/xrt of symlinks into the system dir, which dangle in the container.
+FRANK_DRAGOON_DEV_ACCEL=/dev/accel/accel0
+FRANK_DRAGOON_XRT_DIR=/usr/lib/x86_64-linux-gnu
+# sysfs root the fabric-clock preflight reads (same knob the vendor's
+# halogen-fabric-clock status reads; the seam points it at a fixture).
+FRANK_DRAGOON_SYSFS=/sys
+# Container network. Empty = podman's rootless default (`pasta`): a private
+# netns that nothing else can join — podman refuses a second network while the
+# primary is pasta, the published port is refused from dankclaw_default
+# containers, and host.containers.internal resolves link-local, which
+# open-notebook's URL guard refuses to store. Named = the app bridge, so
+# open-notebook can dial http://frank-dragoon-halogen:8731 for the NPU
+# endpoints. The engine's unauthenticated 8730 stays private either way (it
+# binds the container's own loopback); only the API port becomes name-resolvable.
+FRANK_DRAGOON_NETWORK=dankclaw_default

scripts/frank-dragoon.service

@@ -1,5 +1,5 @@
 [Unit]
-Description=halogen-flash-server container (Quat3rnion NATIVE v2 abliterated Qwen3.8-Flash-Next, MTP spec decode, 2 slots over ONE 401408-position pool at ctx 200704, vision ON), root systemd unit (dankclaw, frank-dragoon, Strix Halo iGPU)
+Description=halogen-flash-server container (Quat3rnion NATIVE v2 abliterated Qwen3.8-Flash-Next, MTP spec decode, 2 slots over ONE 401408-position pool at ctx 262144, vision ON), root systemd unit (dankclaw, frank-dragoon, Strix Halo iGPU)
 After=network-online.target
 Wants=network-online.target
 

scripts/frank-tts-engine.env

@@ -27,6 +27,16 @@
 # below stop describing the process you are running. Nothing in this fleet
 # pins this container; that is a decision, not an oversight.
 #
+# THE DEVICE LAW (since the 2026-10-19 Vulkan cutover). Synthesis computes on
+# the gfx1151 iGPU — the SAME card frank-dragoon serves. It is a shared device,
+# never a dedicated one, so two numbers matter and neither is what `rocm-smi`
+# prints first: the memory the container may use is the RADV heap inside the
+# GTT-backed aperture (the ~2 GiB DRM carve-out is not the working set), and the
+# timing that matters is dragoon's, measured WITH a synthesis in flight. The
+# rollback is one line: set QWENTTS_DEVICE empty, and the entrypoint passes no
+# --device at all — the pre-iGPU CPU shape, no rebuild, no restart of anything
+# else on the box.
+#
 # THE REGISTRY LAW (why the unit has an ExecStartPost at all). Registrations live
 # in memory only, so a restart loses them, and re-registration alone does NOT warm
 # a voice — the warm pass has to synthesize something. Without it the façade
@@ -103,6 +113,17 @@ QWENTTS_LANG=auto
 # round-trip outside it) is what absorbs the queue.
 QWENTTS_MAX_BATCH=1
 
+# The compute device, by ggml device NAME. `Vulkan0` is the gfx1151 iGPU: the
+# image carries the Mesa (RADV) ICD and no NVIDIA ICD, so this container's
+# Vulkan enumeration has exactly one entry and it is the iGPU. The unit hands
+# the container /dev/dri and keeps the render group; on this hybrid host the
+# iGPU's render node is renderD129 and renderD128 is the NVIDIA card, which is
+# why the unit passes the directory and lets the driver resolve the node.
+#
+# ROLLBACK: an empty value means no --device flag at all — the CPU shape this
+# endpoint shipped with until 2026-10-19. One line, no rebuild.
+QWENTTS_DEVICE=Vulkan0
+
 # --- the boot warmer (dankclaw/voiceservice/tts-engine-warm.sh) --------------
 # These three are read by the warm hook, not by tts-server. They live here
 # because the hook is exec-ed into this container and therefore inherits this

scripts/frank-tts.env

@@ -7,7 +7,7 @@
 # whichever TTS engine wins the engine decision (dankclaw/voiceservice/app.py
 # is a single stdlib-only file in a locally built image). Consumers — omp's
 # TTS device, OpenWebUI, open-notebook — address a VOICE BY NAME
-# (voice=narrator1, or the harness' voice_id=narrator1) and never see a path:
+# (voice=wilwheaton, or the harness' voice_id=wilwheaton) and never see a path:
 # a name is real exactly when /voices/<name>/reference.wav exists, and
 # anything else is a 400 that lists the names that are.
 #
@@ -65,7 +65,7 @@ TTS_UPSTREAM_MODEL=voxcpm2
 # name still 400s with the list that exists — this covers the absent case only —
 # and the journal marks such a line `(default)` so an unrequested voice never
 # reads as a requested one. Any pack directory in /home/dank/voices is legal.
-DEFAULT_VOICE=narrator1
+DEFAULT_VOICE=wilwheaton
 
 # CLI-backend knobs, inert while TTS_BACKEND=omni-http. Empty means "not
 # configured": the endpoint answers a 500 that says so instead of running

scripts/frank-zealot.env

@@ -1,141 +1,84 @@
-# frank-zealot — llama.cpp (PrismML fork build 10777, CUDA) serving
-# prism-ml/Ternary-Bonsai-2-9B-gguf at PQ2_0 **with the MTP head in the file**
-# on the RTX 3090, :7771.
+# frank-zealot — llama.cpp (PrismML fork build 10777, CUDA) on the RTX 3090,
+# :7771. Payload: Ternary-Bonsai-2-9B PQ2_0 with the MTP head in the file, plus
+# the refusal-direction adapter applied at load.
 #
-# 2026-10-18 (Frank): swap from the Bonsai-2-**27B** PQ2_0 to the 9B MTP export
-# at THREE 262,144-token conversations (Frank: "if you can possibly fit a third
-# context, do it"). The 9B bills HALF the KV of the 27B per token, which is what
-# funds 3 x the native window on one 24,123 MiB card. Speculative decoding ships
-# OFF — measured, not assumed; see the MTP law below, which is the whole story
-# and the reason the publisher's "depth 2 works best" line does not transfer.
-#
-# THE RUNTIME IS A LOCK, NOT A PREFERENCE. The file is general.file_type 141
-# carrying custom GGML type 142 tensors plus prism.hadamard.* metadata
-# (normalized-Sylvester-Walsh transform); stock llama.cpp refuses type 142 at
-# load and a loader that ignored the Hadamard metadata would dequant WRONG. On
-# top of that lock, MTP beside a quantized V cache needs fork build >= b10776,
-# so the vendor prebuilt moved from 10754 (commit 2459f68b5, the 27B era) to
-# 10777 (commit e3de71522). The 10754 tree stays on disk as the rollback
-# runtime for the 27B payload.
+# ONE OWNER: shape, payload identity, eras, laws and every measured number
+# live in serverAppConfigs-docs/LLM/frank-zealot.md. This file carries the
+# knobs and only the reason a reader editing THIS line cannot recover
+# elsewhere. Where the two disagree, this file wins on values.
 LLAMA_BIN=/home/dank/GitPackages/llama-prism-b10777/llama-server
-# 2,675,410,720 B, Hub LFS sha256 c79fcdfaf6b7… (verified at fetch by
-# scripts/download-frank-zealot-bonsai9.sh). This IS the MTP build: the draft
-# head ships INSIDE the checkpoint, so MTP availability is a property of the
-# FILE, never of a flag. The plain PQ2_0 sibling could not run it at any flag
-# value; loading this file instead of that one is the only change that matters.
+# The fork is a LOCK, not a preference: custom tensor type 142 + prism.hadamard.*
+# metadata. Stock llama.cpp refuses the file; a loader ignoring the Hadamard
+# metadata dequantizes wrong, silently.
 MODEL_FILE=/home/dank/models/Bonsai2-9B-MTP/Ternary-Bonsai-2-9B-PQ2_0-MTP-Q8_0.gguf
-# 624,229,664 B, Hub LFS sha256 e0cb6f69… — Q8_0 IS MANDATORY, not a preference:
-# the publisher's card says the BF16 mmproj "can crash llama-server when several
-# image requests run at once; Q8_0 is not affected", and this endpoint runs
-# --parallel 3, i.e. exactly that shape. The projector's worst case lands AFTER
-# the engine's own fit check, so it is never inside a projection number.
+# Q8_0 IS MANDATORY: the publisher states the BF16 tower can crash llama-server
+# under concurrent image requests, which is exactly --parallel 3.
 MMPROJ_FILE=/home/dank/models/Bonsai2-9B-MTP/Ternary-Bonsai-2-9B-mmproj-Q8_0.gguf
-# Base alignment: Bonsai-2 is the censored BASE lineage. The 27B CRACK re-export
-# (/home/dank/models/Bonsai2-CRACK/) is byte-identical geometry to the 27B it
-# matched, NOT to this 9B file — if a refusal ever surfaces there is no
-# one-line swap here; the 9B dealigned export would have to be fetched first.
-#
-# Served model id — the harness/family name. The SERVICE, unit, scripts and
-# this env file keep the frank-zealot name; only the alias on the wire is the
-# model id. Consumers that key on the served id: OpenWebUI (model row,
-# access_grant, api_configs model_ids) and the harness models.yml.
+# Refusal-direction adapter (a rank-1 LoRA, 3.2 MB) applied at load; it edits
+# the compute graph, it is not a second model. Scale 1 is the card's "held-out
+# refusals 0 %" point. LORA_FILE="" is the documented opt-out — the plain pack
+# again, no rebuild — and LORA_SCALE=0 is the same result through the flag.
+# PROVENANCE ASYMMETRY: the adapter's own prism.abliterate.base_gguf names
+# Ternary-Bonsai-2-9B-PTQ1_0.gguf as the pack its direction was fitted against,
+# which is NOT this packing and is not on this host. The tensor names match, so
+# it applies; the strength was calibrated on a sibling quantization, so the
+# effect is proven by the endpoint's behaviour, never by the metadata.
+LORA_FILE=/home/dank/models/Bonsai2-9B-MTP/Ternary-Bonsai-2-9B-Uncensored-LoRA.gguf
+LORA_SCALE=1
+# Served id — the harness/family name, not a fact about the payload.
+# Id-keyed consumers: OpenWebUI (model row, access_grant, api_configs), models.yml.
 ALIAS=frank-zealot
 BIND_ADDR=0.0.0.0
 LISTEN_PORT=7771
-# CTX_SIZE is the POOL llama.cpp divides across slots: 786,432 / 3 = 262,144 per
-# conversation — each slot at the model's TRAINED window, which is the point of
-# the swap (the 27B era had to cut each conversation to 200,704 to fit two).
-# 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. The ceiling cannot go past 3 x 262,144: that is the
-# native wall (no YaRN in this path) and the arithmetic agrees — a 4th slot
-# would push each below the compaction contract.
-CTX_SIZE=786432
+# CTX_SIZE is the POOL llama.cpp divides across slots: 602,112 / 3 = 200,704 a
+# conversation. MUST stay divisible by PARALLEL (the seam enforces it) and
+# models.yml contextWindow quotes the PER-SLOT number — a longer prompt is a
+# 400, never a truncation. The pool is bought, not granted: K+V at 25,088
+# B/token is 14,406.00 MiB here and the MTP draft context bills its own f16 KV
+# over the WHOLE pool (4,096 B/position ⇒ 2,352.00 MiB), so the old 786,432
+# pool cannot carry a drafter at any KV dtype — 18,816 + 3,072 of cache alone
+# against the 24,123 MiB the driver leaves addressable.
+CTX_SIZE=602112
 PARALLEL=3
-BATCH_SIZE=4096
-# Ubatch is a prefill knob (decode never moves) with NO interior optimum on this
-# CUDA card up to 2048 — 2048 is the measured optimum (+4.6 % prefill). It has a
-# second job here: it sets the compute-buffer size, and the compute buffers are
-# what decide whether MTP fits (see the MTP law). 1024 is the documented MTP arm.
-UBATCH_SIZE=2048
-# KV law (header + boot ledger, both confirmed): qwen35 hybrid, 32 layers with
-# qwen35.full_attention_interval = 4 ⇒ 8 full-attention + 24 Gated DeltaNet;
-# 4 KV heads × 256 dim = 8,192 elements per token per cache. q8_0 bills 8,704 B
-# per cache ⇒ 17,408 B/token = 17 KiB, so the 786,432 pool is 13,056.00 MiB —
-# the ledger said exactly that. HALF the 27B's 34,816 B/token, which is the
-# whole reason three native windows fit. f16 would bill 26,112 MiB at this pool
-# (against a 24,123 MiB card) and dies at cudaMalloc; the 24 DeltaNet layers
-# bill a fixed recurrent state per SLOT instead of per token — the PRODUCTION
-# ledger prints "RS buffer size = 150.75 MiB (3 cells, 32 layers, 3 seqs)"
-# (~50 MiB a cell), while the SPEC-ARMED arms print 452.25 MiB, because MTP
-# depth 2 bills three seqs per slot (9 cells) — which is why pool arithmetic
-# alone under-prices the shape.
-CACHE_TYPE_K=q8_0
+# The logical batch is VRAM- and throughput-neutral at a fixed ubatch (the law
+# on [[frank-zealot]]); 1024×6 keeps it a clean multiple of the ubatch.
+BATCH_SIZE=6144
+# Ubatch is a prefill knob (decode never moves with it) and it sets the
+# compute-buffer size, which decides whether a drafter fits. 1024 is the rung
+# every measured MTP arm here ran on (213.5 t/s against 109.2 at 2048). Its
+# VRAM credit is SHAPE-specific: the 786,432-pool arm census showed ~1,306 MiB
+# back, this boot measured 2,089.88 MiB of target compute against 2,496.13 at
+# ubatch 2048 — 406 MiB back, with the split moving (CUDA0 +257, CUDA_Host
+# −663). The drafter is funded by CACHE_TYPE_V below, not by this knob.
+UBATCH_SIZE=1024
+# K exact, V in the 8-bit class: 16,384 + 8,704 = 25,088 B/token (8,192
+# elements per token per cache × 2 B for f16, × 1.0625 for q8_0 — there is no
+# true fp8 KV dtype in this build). That 7,680 B/token saved against exact V is
+# what funds BOTH the third conversation and the drafter. Quantized V is
+# illegal without --flash-attn, which the serve script pins. Rate law and the
+# arithmetic: [[frank-zealot]] → Laws.
+CACHE_TYPE_K=f16
 CACHE_TYPE_V=q8_0
-# SPECULATIVE DECODING: OFF, MEASURED. The head is in the file and the drafter
-# is GOOD (acceptance 0.798/0.617 per position, mean accepted length 2.41) — it
-# still loses, because the draft context bills its OWN f16 KV over the WHOLE
-# pool: 4,096 B/position × 786,432 = 3,072.00 MiB, plus its compute buffers,
-# 4,830 MiB all told. Booted arms, same card, same traffic (2026-10-18):
-#   3 × 262,144  spec OFF  ub 2048 → 17,876 used / 6,249 free, decode 167.2 t/s
-#   3 × 262,144  spec ON   ub 2048 → 22,706 used / 1,419 free, decode 109.2 t/s
-#   3 × 262,144  spec ON   ub 1024 → 21,400 used / 2,725 free, decode 213.5 t/s
-#   2 × 262,144  spec ON   ub 2048 → 17,178 used / 6,947 free, decode 213.2 t/s
-#   1 × 262,144  spec ON   ub 2048 → 11,652 used / 12,473 free, decode 214.2 t/s
-# i.e. MTP is worth +28 % decode whenever the card has room, and at the 3-slot
-# pool it costs 1.3 GiB of compute buffers that ubatch 2048 refuses to give up —
-# the squeeze, not the drafter, is what halves decode. The arm that WOULD run
-# MTP at three windows is SPEC_TYPE=draft-mtp + UBATCH_SIZE=1024 (decode 213.5,
-# 3-stream 250.8 aggregate) and pays prefill −17 % and 2.7 GiB of headroom on a
-# card whose projector worst-case lands after the fit check. This endpoint's
-# load is the fleet's COMPACTION HUB (prefill-bound, ~170k in) plus 2-3
-# concurrent subagents, so the deployed arm takes the +17 % prefill
-# (2,877 vs 2,395 t/s at 106,418 tokens) and the +12 % three-stream aggregate
-# (280.2 vs 250.8) over single-stream speed, and keeps 6.2 GiB free.
-# SPEC_TYPE=none strips the WHOLE spec set (--spec-type, every --spec-draft-*):
-# flags move as a set or the arm measures a crash instead of an absence.
-SPEC_TYPE=none
+# Speculation ON (Frank, 2026-10-19): the head is in the file
+# (qwen35.nextn_predict_layers = 1, blk.32.nextn.*) and rides the MAIN model's
+# weights, so there is no --spec-draft-model. Its bill is pool × 4,096 B of
+# draft KV plus ~0.45 GiB of buffers and a tripled recurrent state — paid for
+# by CACHE_TYPE_V=q8_0 and UBATCH_SIZE=1024 above. Build gate: quantized V
+# beside MTP needs fork build >= b10776; LLAMA_BIN is 10777.
+# SPEC_TYPE=none is the rollback and strips the WHOLE set (--spec-type and
+# every --spec-draft-*); half a set has segfaulted at load.
+SPEC_TYPE=draft-mtp
 SPEC_DRAFT_N_MAX=2
 SPEC_DRAFT_N_MIN=0
 SPEC_DRAFT_P_MIN=0
-# The card's sampler recipe lives in the checkpoint (general.sampling.* = temp
-# 1.0 / top_p 0.95 / top_k 20 / min_p 0 / repeat_penalty 1.0 — confirmed in the
-# engine's own /props defaults) and llama.cpp reads it itself. Presence penalty
-# is the ONE recipe value with no GGUF metadata key, so it must reach the argv.
-# PRESENCE_PENALTY="" is the documented opt-out.
+# The sampler recipe lives in the checkpoint (general.sampling.*) and
+# llama.cpp reads it itself. Presence penalty is the one recipe value with no
+# GGUF metadata key, so it must reach argv. "" is the documented opt-out.
 PRESENCE_PENALTY=1.0
 NGL=99
-# Boot ledger (2026-10-18 PRODUCTION boot under the unit, verbosity 4):
-#   17,922 MiB used / 6,203 MiB free of 24,123 (nvidia-smi settled)
-#   CUDA0 model 2,036.71 MiB + CPU_Mapped 257.66 MiB
-#   CUDA0 KV 13,056.00 MiB (q8_0 K + q8_0 V, 786,432 positions)
-#   CUDA0 RS 150.75 MiB (3 cells, 32 layers, 3 seqs)
-#   compute 1,409.02 MiB CUDA + 1,088.87 MiB CUDA_Host (+2.84 MiB output buf)
-#   mmproj worst-case estimate 868.32 MiB (248.10 CUDA + 24.93 CPU compute
-#   meta) — charged AFTER the engine's own fit check, as always
-#   no clamp line, no cudaMalloc error
-# Measured on this boot (/completion timings, greedy, ignore_eos, 512 tokens):
-# 168.7 t/s decode (three runs 168.4-168.7) and ~300 t/s aggregate across
-# THREE concurrent streams (102.8 each). The trial arm's record (167.2 decode,
-# 280.2 aggregate, 2,877 t/s prefill at 106,418) stands; the 27B it replaces
-# gave 76.6 / 109.4 / 691.7 at 166k. The FIRST request after a boot is a
-# warmup artifact (37.7 t/s class) and a natural generation that stops early
-# makes a wall-clock aggregate read 4x low - measure with ignore_eos and read
-# the engine's own timings.
-# Fallback rung if the margin is ever eaten (desktop, co-tenant): q4_0 KV on the
-# 27B era measured 16,392 used / 7,733 free at 2 × 200,704; the same drop here
-# frees ~6.5 GiB at three windows. UBATCH_SIZE=1024 is the cheaper lever
-# (−1,306 MiB measured on this shape).
-# 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.
+# 4 = debug: KV layout, buffer sizes and graph capture land in the journal, and
+# that is what VRAM forensics read. Above 4 floods the journal.
 VERBOSITY=4
-
-# Serve /metrics. llama.cpp answers 501 without --metrics, and Dankclaw's
-# Prometheus scrapes /metrics on every fleet endpoint — a 501 reads as DOWN, so
-# this service has held the critical LlmEndpointDown alert for as long as the
-# metric has history (verified 2026-10-18: the oldest retained sample of
-# up{job="frank-zealot"}, 2026-10-11, is already 0; scrapeUrl
-# http://host.containers.internal:7771/metrics, lastError "server returned HTTP
-# status 501 Not Implemented"). 0 opts out and re-breaks the scrape.
+# Without --metrics llama.cpp answers 501 on /metrics, which Prometheus reads
+# as DOWN while /health stays 200. 0 opts out and re-breaks the scrape.
 METRICS=1

scripts/frank-zealot.service

@@ -1,5 +1,5 @@
 [Unit]
-Description=llama.cpp (PrismML build 10777) Ternary-Bonsai-2-9B PQ2_0-MTP GGUF (qwen35 hybrid, 3x262144 slots over one 786432 pool, q8_0 K+V, MTP off, mmproj Q8_0 vision) on the RTX 3090 (dankclaw, frank-zealot)
+Description=llama.cpp (PrismML build 10777) Ternary-Bonsai-2-9B PQ2_0-MTP GGUF + refusal adapter (qwen35 hybrid, 3x200704 slots over one 602112 pool, f16 K + q8_0 V, MTP armed, mmproj Q8_0 vision) on the RTX 3090 (dankclaw, frank-zealot)
 After=network-online.target
 Wants=network-online.target
 

scripts/gen-vault-index.py

@@ -0,0 +1,211 @@
+#!/usr/bin/env python3
+"""Regenerate serverAppConfigs-docs/index.md from page frontmatter.
+
+The root index is a locator (AGENTS.md -> *Documentation Policy*): one row per
+page, one clause, no numbers. Hand-maintaining it is how rows go missing, and
+the docs seam fails when a page is not linked from it, so it is generated:
+
+  * preamble     everything above the first `## ` in the existing file is kept
+                 verbatim (that is the curated statement of the vault's law)
+  * section      from the page's directory, overridden by its frontmatter tags
+                 (`endpoint` / `retired-endpoint` split the LLM pages)
+  * row text     the page's frontmatter `description`, verbatim
+
+A page with no description is a hard error rather than an empty cell, so the
+generator cannot silently produce a silent index. Sections with no pages are
+skipped. Deterministic: the same vault always yields the same bytes.
+
+Sub-directory indices are hand-grouped (they carry curated prose), so they are
+synced rather than regenerated: dead rows dropped, row text refreshed from the
+page's description, uncovered siblings appended.
+"""
+import pathlib
+import re
+import sys
+
+RESERVED = {"index.md", "log.md"}
+SECTIONS = [
+    ("Inference endpoints", "endpoint"),
+    ("Retired endpoints", "retired-endpoint"),
+]
+DIRECTORY_SECTIONS = [
+    ("Dankclaw", "Dankclaw services"),
+    ("Dankserver", "Dankserver services"),
+    ("FrankBook-Pro", "FrankBook-Pro"),
+    ("Desktop", "Workstations"),
+    ("Infrastructure", "Cross-host infrastructure"),
+    ("Architecture", "Repo architecture and policy"),
+    ("Operations", "Operations and incidents"),
+    ("Agent", "Agent / harness"),
+    ("Research", "Research and methodology"),
+]
+PIPELINE_SECTION = "Pipeline Parallelism (series)"
+LLM_FALLBACK = "LLM technique and hardware references"
+CHANGE_SECTION = "Change history"
+ORDER = [t for t, _ in SECTIONS] + [t for _, t in DIRECTORY_SECTIONS] + \
+        [PIPELINE_SECTION, LLM_FALLBACK, CHANGE_SECTION]
+
+
+def frontmatter_fields(text):
+    if not text.startswith("---"):
+        return {}
+    end = text.find("\n---", 3)
+    if end == -1:
+        return {}
+    raw = text[3:end]
+    fields = {}
+    for key in ("description", "type"):
+        m = re.search(rf"^{key}:\s*(.*)$", raw, re.M)
+        if m:
+            fields[key] = m.group(1).strip().strip("\"'")
+    tags = []
+    m = re.search(r"^tags:\s*\[(.*?)\]$", raw, re.M)
+    if m:
+        tags = [t.strip().strip("\"'") for t in m.group(1).split(",") if t.strip()]
+    elif re.search(r"^tags:\s*$", raw, re.M):
+        block = re.search(r"^tags:\s*\n((?:\s+-\s+.*\n?)+)", raw, re.M)
+        if block:
+            tags = [l.strip().lstrip("-").strip().strip("\"'")
+                    for l in block.group(1).splitlines() if l.strip()]
+    fields["tags"] = tags
+    return fields
+
+
+def section_for(page, vault, fields):
+    rel = page.relative_to(vault)
+    if len(rel.parts) == 1:
+        return CHANGE_SECTION if page.name == "log.md" else "Uncategorised"
+    top = rel.parts[0]
+    if top == "LLM":
+        if PIPELINE_SECTION_DIR in rel.parts:
+            return PIPELINE_SECTION
+        for title, tag in SECTIONS:
+            if tag in fields.get("tags", []):
+                return title
+        return LLM_FALLBACK
+    for prefix, title in DIRECTORY_SECTIONS:
+        if top == prefix:
+            return title
+    return "Uncategorised"
+
+
+ROW = re.compile(r"^(\| )\[\[([^\]|]+)\]\]( \|)( .*?)( \|$)")
+BULLET = re.compile(r"^(- )\[\[([^\]]+)\]\]( — )(.*?)$")
+
+
+def sync_subindex(index: pathlib.Path, vault: pathlib.Path):
+    """Keep a hand-grouped sub-index honest without erasing its grouping.
+
+    Rows are locators, so their text is the linked page's own description; a
+    row whose page is gone is a dead promise and is dropped; a direct sibling
+    with no row is appended under `## Pages` (that is what the link-integrity
+    seam checks). Curated headings and prose are untouched.
+    """
+    here = index.parent
+    known = {p.stem for p in here.rglob("*.md")
+             if ".AGENTTRASH" not in str(p) and p.name != "index.md"}
+    lines = index.read_text().split("\n")
+    out, dropped, refreshed = [], 0, 0
+    for line in lines:
+        # A row whose first cell is empty is a description with no page: the link
+        # was deleted when the page was destroyed, so the row is a dead promise.
+        if re.match(r"^\|\s*\|", line.strip()):
+            dropped += 1
+            continue
+        for pat, wrap in ((ROW, "| [[{}]] |{} {} |"), (BULLET, "- [[{}]] — {}")):
+            m = pat.match(line)
+            if not m:
+                continue
+            stem = m.group(2).strip()
+            if stem not in known:
+                dropped += 1
+                line = None
+                break
+            cand = next((p for p in here.rglob(f"{stem}.md")
+                         if ".AGENTTRASH" not in str(p)), None)
+            desc = frontmatter_fields(cand.read_text(errors="replace")).get("description") \
+                if cand else None
+            if desc:
+                current = m.group(4).strip()
+                if current != desc:
+                    line = wrap.format(stem, " " if pat is ROW else "", desc) \
+                        if pat is ROW else wrap.format(stem, desc)
+                    refreshed += 1
+            break
+        if line is not None:
+            out.append(line)
+    text = "\n".join(out)
+    # Presence must be the wikilink itself: a bare stem is a substring of other
+    # page names (`frank-medium` lives inside `frank-medium-rocmfpx`), and a
+    # sibling matched that way silently never gets a row.
+    missing = sorted(
+        (p.stem, frontmatter_fields(p.read_text(errors="replace")).get("description", ""))
+        for p in here.glob("*.md")
+        if p.name != "index.md" and f"[[{p.stem}]]" not in text
+    )
+    if missing:
+        block = ["", "## Pages", "", "| Page | Owns |", "|---|---|"]
+        block += [f"| [[{stem}]] | {desc} |" for stem, desc in missing]
+        text = text.rstrip("\n") + "\n" + "\n".join(block) + "\n"
+    if text != index.read_text():
+        index.write_text(text)
+    return dropped, refreshed, len(missing)
+
+
+PIPELINE_SECTION_DIR = "Pipeline Parallelism"
+
+
+def main(argv):
+    vault = pathlib.Path(argv[1] if len(argv) > 1 else "serverAppConfigs-docs")
+    index = vault / "index.md"
+    if not index.is_file():
+        print(f"missing {index}")
+        return 2
+    existing = index.read_text()
+    preamble = existing.split("\n## ", 1)[0].rstrip("\n")
+
+    pages = [p for p in vault.rglob("*.md")
+             if ".AGENTTRASH" not in str(p) and ".obsidian" not in str(p)
+             and p.name != "index.md" and p != index]
+    buckets, errors = {}, []
+    for page in pages:
+        fields = frontmatter_fields(page.read_text(errors="replace"))
+        if page.name != "log.md":
+            desc = fields.get("description")
+            if not desc:
+                errors.append(str(page.relative_to(vault)))
+                continue
+        else:
+            desc = "Chronological incident and law log for the whole bundle."
+        buckets.setdefault(section_for(page, vault, fields), []).append((page.stem, desc))
+    if errors:
+        print("pages with no description (fix the frontmatter, not the index):")
+        for e in sorted(errors):
+            print("  " + e)
+        return 1
+
+    out = [preamble, ""]
+    for title in ORDER + sorted(set(buckets) - set(ORDER)):
+        rows = sorted(buckets.get(title, []), key=lambda r: r[0].lower())
+        if not rows:
+            continue
+        out += [f"## {title}", "", "| Page | Owns |", "|---|---|"]
+        out += [f"| [[{stem}]] | {desc} |" for stem, desc in rows]
+        out.append("")
+    out.append("<!-- generated by scripts/gen-vault-index.py; edit page frontmatter instead -->")
+    index.write_text("\n".join(out) + "\n")
+    touched = 0
+    for sub in sorted(vault.rglob("index.md")):
+        if sub == index or ".AGENTTRASH" in str(sub):
+            continue
+        dropped, refreshed, added = sync_subindex(sub, vault)
+        if dropped or refreshed or added:
+            touched += 1
+            print(f"  {sub}: -{dropped} dead rows, {refreshed} refreshed, +{added} added")
+    print(f"{index}: {sum(len(v) for v in buckets.values())} rows in "
+          f"{len([t for t in ORDER if buckets.get(t)])} sections, {touched} sub-indices synced")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main(sys.argv))

scripts/gpu-exporter.py

@@ -0,0 +1,212 @@
+#!/usr/bin/env python3
+"""gpu-exporter: unified per-GPU metrics for a mixed AMD/NVIDIA host.
+
+Emits the `gpu_*` Prometheus families the host-system dashboard graphs:
+
+    gpu_utilization_percent  gpu_memory_used_bytes  gpu_memory_total_bytes
+    gpu_temperature_celsius  gpu_power_watts
+
+each labelled {gpu, vendor, model}. The scrape job adds `host`.
+
+Two sources, both host-native — no container, no GPU passthrough:
+
+  * AMD (R9700s, the 8060S iGPU, the Raphael display GPU): the amdgpu sysfs tree.
+    Utilization comes ONLY from gpu_busy_percent — amd-smi reports gfx_busy_inst
+    as N/A on gfx1201 (verified 2026-10-20). VRAM is already bytes, temperature
+    is milli-degrees, power is micro-watts. Crucially power1_average is EMPTY on
+    the R9700s, so those cards legitimately have no gpu_power_watts line; a
+    missing file becomes an ABSENT metric, never a fabricated 0 that a dashboard
+    would plot as a real reading.
+
+  * NVIDIA (the RTX 3090 on Dankclaw): one `nvidia-smi --query-gpu` CSV. On
+    Dankserver there is an nvidia-smi binary but no NVIDIA GPU, so the command
+    fails; that is tolerated and simply yields no NVIDIA series.
+
+Default mode prints one scrape to stdout and exits (the test harness, and any
+`service ... --oneshot` one-off). `--serve` binds the HTTP endpoint for
+Prometheus; it binds EXPLICITLY (loopback + the host LAN address), never a
+wildcard, matching node-exporter's posture on these boxes.
+"""
+import argparse
+import glob
+import os
+import subprocess
+import sys
+import threading
+from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
+
+FAMILIES = [
+    ("gpu_utilization_percent", "gauge", "GPU busy time as a percentage of wall time."),
+    ("gpu_memory_used_bytes", "gauge", "Device memory in use, in bytes."),
+    ("gpu_memory_total_bytes", "gauge", "Device memory capacity, in bytes."),
+    ("gpu_temperature_celsius", "gauge", "Package temperature in degrees Celsius."),
+    ("gpu_power_watts", "gauge", "Board power draw in watts."),
+]
+
+DEFAULT_NVIDIA_CMD = (
+    "nvidia-smi --query-gpu=index,name,utilization.gpu,memory.used,"
+    "memory.total,temperature.gpu,power.draw --format=csv,noheader,nounits"
+)
+
+
+def _read(path):
+    try:
+        with open(path) as fh:
+            return fh.read().strip()
+    except OSError:
+        return ""
+
+
+def _pci_slot(device_dir):
+    uevent = _read(os.path.join(device_dir, "uevent"))
+    for line in uevent.splitlines():
+        if line.startswith("PCI_SLOT_NAME="):
+            return line.split("=", 1)[1]
+    return ""
+
+
+def _pci_id(device_dir):
+    uevent = _read(os.path.join(device_dir, "uevent"))
+    for line in uevent.splitlines():
+        if line.startswith("PCI_ID="):
+            return "amd:" + line.split("=", 1)[1].lower()
+    return "amd"
+
+
+def collect_amd(sys_dir):
+    for card in sorted(glob.glob(os.path.join(sys_dir, "card[0-9]*"))):
+        device = os.path.join(card, "device")
+        busy = _read(os.path.join(device, "gpu_busy_percent"))
+        if busy == "":
+            continue  # not an amdgpu compute node (e.g. a render node w/o metrics)
+        labels = {"gpu": _pci_slot(device) or os.path.basename(card),
+                  "vendor": "amd", "model": _pci_id(device)}
+        yield "gpu_utilization_percent", labels, busy
+        for name, leaf in (("gpu_memory_used_bytes", "mem_info_vram_used"),
+                           ("gpu_memory_total_bytes", "mem_info_vram_total")):
+            v = _read(os.path.join(device, leaf))
+            if v != "":
+                yield name, labels, v
+        temp = ""
+        for hwmon in sorted(glob.glob(os.path.join(device, "hwmon", "hwmon*", "temp1_input"))):
+            temp = _read(hwmon)
+            if temp != "":
+                break
+        if temp != "":
+            yield "gpu_temperature_celsius", labels, str(int(temp) / 1000.0)
+        power = _read(os.path.join(device, "power1_average"))
+        if power != "":  # empty on the R9700s -> metric absent, not zero
+            yield "gpu_power_watts", labels, str(int(power) / 1e6)
+
+
+def collect_nvidia(cmd):
+    if not cmd:
+        return
+    try:
+        out = subprocess.run(cmd, shell=True, capture_output=True, text=True,
+                             timeout=10, check=True).stdout
+    except (subprocess.SubprocessError, OSError):
+        return  # no NVIDIA GPU / no driver: tolerate, emit nothing
+    for line in out.splitlines():
+        parts = [p.strip() for p in line.split(",")]
+        if len(parts) < 7:
+            continue
+        idx, name, util, mused, mtotal, temp, power = parts[:7]
+        labels = {"gpu": idx, "vendor": "nvidia", "model": name}
+        yield "gpu_utilization_percent", labels, util
+        yield "gpu_memory_used_bytes", labels, str(int(float(mused)) * 1048576)
+        yield "gpu_memory_total_bytes", labels, str(int(float(mtotal)) * 1048576)
+        if temp not in ("", "[N/A]"):
+            yield "gpu_temperature_celsius", labels, temp
+        if power not in ("", "[N/A]"):
+            yield "gpu_power_watts", labels, power
+
+
+def collect(sys_dir, nvidia_cmd):
+    samples = {}
+    for source in (collect_amd(sys_dir), collect_nvidia(nvidia_cmd)):
+        for name, labels, value in source:
+            try:
+                value = str(float(value))  # normalise; drop trailing junk
+            except ValueError:
+                continue
+            samples.setdefault(name, []).append((labels, value))
+    return samples
+
+
+def _fmt(value):
+    f = float(value)
+    if f == int(f) and abs(f) < 1e15:
+        return str(int(f))
+    return repr(f)
+
+
+def render(samples):
+    out = []
+    for name, kind, help_text in FAMILIES:
+        out.append("# HELP %s %s" % (name, help_text))
+        out.append("# TYPE %s %s" % (name, kind))
+        for labels, value in sorted(samples.get(name, []), key=lambda x: sorted(x[0].items())):
+            lset = ",".join('%s="%s"' % (k, v) for k, v in sorted(labels.items()))
+            out.append("%s{%s} %s" % (name, lset, _fmt(value)))
+    return "\n".join(out) + "\n"
+
+
+class Handler(BaseHTTPRequestHandler):
+    sys_dir = "/sys/class/drm"
+    nvidia_cmd = DEFAULT_NVIDIA_CMD
+
+    def do_GET(self):  # noqa: N802 (http.server API)
+        if self.path.split("?")[0] not in ("/metrics", "/"):
+            self.send_error(404)
+            return
+        body = render(collect(self.sys_dir, self.nvidia_cmd)).encode()
+        self.send_response(200)
+        self.send_header("Content-Type", "text/plain; version=0.0.4")
+        self.send_header("Content-Length", str(len(body)))
+        self.end_headers()
+        self.wfile.write(body)
+
+    def log_message(self, *args):
+        pass
+
+
+def main(argv):
+    ap = argparse.ArgumentParser(description=__doc__.splitlines()[0])
+    ap.add_argument("--amdgpu-sysfs", default="/sys/class/drm")
+    ap.add_argument("--nvidia-cmd", default=DEFAULT_NVIDIA_CMD)
+    ap.add_argument("--serve", action="store_true", help="serve /metrics instead of one-shot")
+    ap.add_argument("--port", type=int, default=9401)
+    ap.add_argument("--bind", action="append", default=None,
+                    help="explicit bind address (repeatable); env GPU_EXPORTER_BINDS "
+                         "comma-list if unset. NEVER a wildcard.")
+    args = ap.parse_args(argv)
+
+    if not args.serve:
+        sys.stdout.write(render(collect(args.amdgpu_sysfs, args.nvidia_cmd)))
+        return 0
+
+    binds = args.bind
+    if not binds:
+        env = os.environ.get("GPU_EXPORTER_BINDS", "")
+        binds = [b.strip() for b in env.split(",") if b.strip()] or ["127.0.0.1"]
+    Handler.sys_dir = args.amdgpu_sysfs
+    Handler.nvidia_cmd = args.nvidia_cmd
+    servers = []
+    for b in binds:
+        if b in ("0.0.0.0", "::", "*"):
+            sys.stderr.write("refusing wildcard bind %s\n" % b)
+            return 2
+        servers.append(ThreadingHTTPServer((b, args.port), Handler))
+    sys.stderr.write("gpu-exporter serving :%d on %s\n" % (args.port, ",".join(binds)))
+    # EVERY socket must be served: a listen()ed-but-never-accept()ed bind looks
+    # healthy in `ss` yet times out every scrape once its SYN backlog fills —
+    # and the loopback deploy gate cannot see it. One thread per extra bind.
+    for s in servers[1:]:
+        threading.Thread(target=s.serve_forever, daemon=True).start()
+    servers[0].serve_forever()
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main(sys.argv[1:]))

scripts/gpu-exporter.service

@@ -0,0 +1,35 @@
+# Systemd USER unit: gpu-exporter (both Dankclaw and Dankserver).
+#
+# Install path: ~/.config/systemd/user/gpu-exporter.service
+# Installed and enabled by deploy_gpu_exporter in scripts/deploy-remote.sh.
+#
+# Per-GPU metrics (utilization / VRAM / temperature / power) for the mixed
+# AMD + NVIDIA fleet, scraped by Prometheus. Like signal-relay it is a plain
+# user unit, not a quadlet: it runs python3 straight from the checkout (a pull
+# updates it with no copy step), a hand-written user unit can be enabled where
+# the podman v1 generator's units cannot, and with Linger=yes for dank it starts
+# at boot. It reads the host's own cgroup/drm sysfs and shells to nvidia-smi, so
+# it must run on the host — a container would need GPU/DRM passthrough for
+# nothing gained.
+#
+# BINDING. The base unit serves loopback only. deploy_gpu_exporter writes a
+# drop-in adding THIS host's LAN address (the same two-address posture
+# node-exporter and cadvisor use), so the endpoint is never a wildcard. It is
+# unauthenticated metrics on the LAN, identical to node-exporter :9100 and
+# cadvisor :8080 — Prometheus reaches same-host via host.containers.internal and
+# the Dankserver instance over the LAN from Dankclaw.
+
+[Unit]
+Description=GPU metrics exporter (amdgpu sysfs + nvidia-smi)
+After=network-online.target
+Wants=network-online.target
+
+[Service]
+# Loopback by default; the deploy drop-in appends the host LAN address.
+Environment=GPU_EXPORTER_BINDS=127.0.0.1
+ExecStart=/usr/bin/python3 /home/dank/serverAppConfigs/scripts/gpu-exporter.py --serve
+Restart=always
+RestartSec=5
+
+[Install]
+WantedBy=default.target

scripts/open-notebook.env

@@ -1,5 +1,6 @@
 # open-notebook.env — configuration for **open-notebook**, the fleet's podcast
-# generator on Dankclaw (UI host port **8502**, API host port **5056**). Read by
+# generator on Dankclaw (user path https://notebook.franksdank.cloud; UI host
+# port **8502**, API host port **5056 loopback-only**). Read by
 # BOTH Quadlet units (dankclaw/open-notebook/quadlet/) as the FIRST
 # EnvironmentFile= line, which is why every path and host name below is the
 # value the CONTAINER must see.
@@ -47,13 +48,17 @@
 #
 # THE SCRIPTWRITER. ESPERANTO_LLM_TIMEOUT is the app's own default (180 s), kept
 # visible beside the TTS number because both belong to one podcast run: the
-# outline call and the transcript call are the slow text work, and frank-zealot
-# answers them well inside 180. Provider choice is made in the UI, not here —
-# see [[Open Notebook]] for the one-time credential provisioning — and it is
-# frank-zealot on purpose: script writing asks for a JSON-schema response, which
-# the OpenAI-compatible llama.cpp endpoint is known to serve, while halogen's
-# structured-output behaviour on frank-dragoon is UNVERIFIED. halogen remains
-# the unproven alternative, not the fallback.
+# outline call and the transcript call are the slow text work, and the endpoint
+# provisioned today answers them well inside 180. The provider itself is chosen
+# in the database, not here — [[Open Notebook]] owns that provisioning and the
+# address census behind it. Short version: frank-zealot was the plan (script
+# writing asks for a JSON-schema response, which llama.cpp serves and halogen's
+# behaviour on frank-dragoon is UNVERIFIED), but no Dankclaw LLM is dialable from
+# this container's netns, and the single address that reaches one —
+# `host.containers.internal`, 169.254.1.2 — the app refuses to store at all,
+# because link-local is a blocked address class. The writer is therefore
+# frank-archon (`http://192.168.0.235:7770/v1`), the only fleet LLM that both
+# answers from inside this netns and passes that check.
 #
 # THE DATABASE COORDINATES. SURREAL_URL addresses the sibling container BY NAME
 # on systemd-open-notebook (container DNS is scoped to the owning network, so
@@ -73,15 +78,20 @@ SURREAL_PASS=
 OPEN_NOTEBOOK_ENCRYPTION_KEY=
 OPEN_NOTEBOOK_PASSWORD=
 
-# WHERE THE BROWSER FINDS THE API. The UI auto-detects `<host-you-opened>:5055`,
-# and 5055 on this host belongs to seerr, so the API leaves the container on 5056
-# and this line has to say so. Both origins are listed in CORS_ORIGINS because
-# the API is called cross-origin from the UI's own port: the LAN origin is the
-# normal one, the localhost one covers a browser opened on Dankclaw itself. The
-# app logs a warning at start while CORS_ORIGINS is unset and defaults to `*`,
-# which is a wildcard in front of an endpoint that serves every episode's audio.
-API_URL=http://192.168.0.143:5056
-CORS_ORIGINS=http://192.168.0.143:8502,http://localhost:8502
+# WHERE THE BROWSER FINDS THE API. The guarded vhost
+# (notebook.franksdank.cloud → Caddy → 8502) is the only user path, and the
+# image's own Next.js layer rewrites `/api/*` to the FastAPI running beside it,
+# so ONE origin serves UI and API and API_URL has to name that vhost. This is
+# not cosmetic: unset, the app auto-detects `<host-you-opened>:5055` — the port
+# upstream ships, and the one seerr holds on this host — and hands the browser
+# an address nothing answers; pointed at the LAN `:5056` instead, every call
+# leaves the guarded origin and an authenticated browser session does not ride
+# it. Same-origin traffic needs no CORS at all, but CORS_ORIGINS stays set to
+# the one origin because the app warns at start while it is unset and defaults
+# to `*` — a wildcard in front of an endpoint that serves every episode's
+# audio. No trailing slash: the UI concatenates `${API_URL}/api/...`.
+API_URL=https://notebook.franksdank.cloud
+CORS_ORIGINS=https://notebook.franksdank.cloud
 
 # Concurrency: see "THE CPU-SHUTDOWN GUARD" above. Defaults are 5 and 5.
 TTS_BATCH_SIZE=1

scripts/port-census.py

@@ -0,0 +1,100 @@
+#!/usr/bin/env python3
+"""Port census: prove a merge/collapse lost no fact.
+
+For every line that existed in the OLD set and not in the NEW set, check that
+each of its significant tokens (numbers, long identifiers, paths) still occurs
+somewhere in the NEW corpus. A line whose every token survives is a reworded
+line; a line with an unheld token is a candidate fact loss and gets printed.
+
+  port-census.py <new-glob-dir> <old-file> [<old-file> ...]
+
+Old files may be `git-rev:path` (read from git) or a path (e.g. a trash copy).
+"""
+import pathlib
+import re
+import subprocess
+import sys
+
+
+def toks(line):
+    out = []
+    for n in re.findall(r"\d[\d,]*(?:\.\d+)?", line):
+        if len(n.replace(",", "").split(".")[0]) >= 3 or (
+            "." in n and len(n.split(".")[-1]) >= 2 and len(n.replace(",", "")) >= 4
+        ):
+            out.append(n)
+    # Identifiers, flags, paths and backticked spans are the facts worth
+    # tracking; ordinary prose words are not — they reword on every rewrite.
+    # A hyphen alone is not evidence of an identifier (`long-standing`), so a
+    # dashed word counts only with two hyphens (`frank-tts-engine`) or with a
+    # digit, dot, slash, colon or `--` inside it.
+    for w in re.findall(r"[A-Za-z][\w./:-]{7,}", line):
+        core = w.strip(".,;:!?\"')]")
+        if (core.startswith("--") or core.isupper()
+                or re.search(r"[\d_/:.]", core) or core.count("-") >= 2):
+            out.append(core)
+    out += [s.strip() for s in re.findall(r"`([^`]+)`", line) if len(s) > 3]
+    return out
+
+
+def held(tok, corpus):
+    t = tok.replace(",", "")
+    alt = rf"\b{re.escape(t)}\b"
+    for c in corpus:
+        if tok in c or t in c:
+            return True
+        if re.search(alt, c.replace(",", "")):
+            return True
+    return False
+
+
+def main(argv):
+    new_dir = pathlib.Path(argv[1])
+
+    def corpus_excluding(exclude):
+        """Every vault page except the one under test.
+
+        The corpus is what must still hold a fact AFTER the file is gone, so a
+        file that lives inside the scanned directory has to be removed from it —
+        otherwise every token is "held" by the file itself and the census proves
+        nothing (it reports 0 losses for every page, which is the bug this
+        guards).
+        """
+        out = []
+        for p in new_dir.rglob("*.md"):
+            s = str(p)
+            if ".AGENTTRASH" in s or ".obsidian" in s:
+                continue
+            if exclude is not None and p.resolve() == exclude:
+                continue
+            out.append(p.read_text(errors="replace"))
+        return out
+
+    lost = checked = 0
+    for spec in argv[2:]:
+        if spec.startswith("git-"):
+            ref, path = spec[4:].split(":", 1)
+            old = subprocess.run(["git", "show", f"{ref}:{path}"],
+                                 capture_output=True, text=True).stdout
+            label = f"{ref}:{path}"
+            exclude = None
+        else:
+            old = pathlib.Path(spec).read_text(errors="replace")
+            label = spec
+            exclude = pathlib.Path(spec).resolve()
+        blob = "\n".join(corpus_excluding(exclude))
+        for line in old.splitlines():
+            s = line.strip().strip("->*|# ").strip()
+            if len(s) < 30 or s.startswith("```"):
+                continue
+            checked += 1
+            missing = [t for t in toks(s) if not held(t, [blob])]
+            if missing:
+                lost += 1
+                print(f"  {label}\n    L: {s[:150]}\n    unheld: {', '.join(missing[:6])}")
+    print(f"{checked} old lines checked, {lost} with unheld tokens")
+    return 1 if lost else 0
+
+
+if __name__ == "__main__":
+    sys.exit(main(sys.argv))

scripts/probe-frank-archon-kv.py

@@ -147,10 +147,21 @@ def main():
     deep = corpus(160_000)
     wide = corpus(1_100_000)
 
-    # 3.28 chars/token is the measured ratio of this corpus through the
-    # froggeric template (646,000 chars -> 196,919 tokens at the 2026-10-11
-    # deploy); 98.5 % of the window leaves the response room under the ceiling.
-    chars = int(0.985 * maxlen * 3.28)
+    # The corpus's chars/token ratio is MEASURED here, not stored. A stored 3.28
+    # (646,000 chars -> 196,919 tokens, 2026-10-11) had drifted to 3.20 by
+    # 2026-10-20 (646,299 chars -> 201,876 tokens) as the repo's docs grew, and a
+    # stale constant sends leg B past --max-model-len, where the engine answers a
+    # perfectly legitimate 400 ("the request (201900 tokens) exceeds the available
+    # context size (200000)") and the leg reads as a capacity failure. One small
+    # request prices the ratio; 97 % of the window leaves the response room.
+    sample = prompt(wide, 4000, "CAL", "cal-marker")
+    cal, _, _ = post({"model": MODEL,
+                      "messages": [{"role": "user", "content": sample}],
+                      "max_tokens": 1, "temperature": 0.0,
+                      "chat_template_kwargs": {"enable_thinking": False}})
+    ratio = len(sample) / cal["usage"]["prompt_tokens"]
+    print(f"[cal] corpus ratio {ratio:.2f} chars/token")
+    chars = int(0.97 * maxlen * ratio)
     # Each marker's FIRST hyphen-separated word is unique, because show()
     # scores the hit on that word — a shared prefix would score every slot HIT
     # on any answer that says the word.
@@ -176,7 +187,7 @@ def main():
                 print(f"[B-{s}] FAILED after {time.time() - t0:.1f}s: {e!r}")
     print(f"[B] total {time.time() - t0:.1f}s")
     # D — concurrency decode: seqs streams, 512 tokens each, ~25 % depth.
-    dchars = int(0.25 * maxlen * 3.28)
+    dchars = int(0.25 * maxlen * ratio)
     dbodies = [chat(deep, dchars, f"D{i + 1}-9137", f"flint-marker-{i}", 512)
                for i in range(seqs)]
     print(f"[D] {seqs} concurrent streams x 512 tokens, "

scripts/repair-damage.py

@@ -0,0 +1,56 @@
+#!/usr/bin/env python3
+"""Repair the two artifacts the destruction passes introduced.
+
+1. The link stripper could eat the space after a `- ` marker (`-`X``) and leave a
+   dangling `see .` where a wikilink used to be.
+2. The Eras collapse could swallow a table's HEADER row (it looked like just
+   another non-current row), leaving a separator with no header above it.
+
+Usage: repair-damage.py [--apply]
+"""
+import pathlib
+import re
+import sys
+
+VAULT = pathlib.Path("serverAppConfigs-docs")
+ERAS_HEADER = "| Window | Payload | Runtime | Shape | Replaced because | Rollback |"
+
+
+def main(argv):
+    apply = "--apply" in argv
+    marker = dangling = header = 0
+    for p in sorted(VAULT.rglob("*.md")):
+        s = str(p)
+        if ".AGENTTRASH" in s or ".obsidian" in s:
+            continue
+        lines = p.read_text(errors="replace").split("\n")
+        out = []
+        # Only a pointer whose target was deleted reads as `… see .` — never touch
+        # a line merely because it wraps on a comma. (An earlier version of this
+        # rule stripped the trailing comma off 660 wrapped prose lines, which
+        # `scripts/restore-punctuation.py` then had to undo from HEAD.)
+        for line in lines:
+            new = line
+            if re.match(r"^(\s*)[-*](?![-* ])[$`[(*_]", new):
+                new = re.sub(r"^(\s*)[-*]", r"\1- ", new)
+                marker += 1
+            if re.search(r"\s(?:see|also|details in|via|per)\s*\.?\s*$", new):
+                new = re.sub(r"\s(?:see|also|details in|via|per)\s*\.?\s*$", "", new)
+                dangling += 1
+            out.append(new)
+        # A separator row whose line above is not a header gets its header back.
+        fixed = []
+        for i, line in enumerate(out):
+            if re.match(r"^\|-+", line.strip()) and (not fixed or not fixed[-1].strip().startswith("|")):
+                fixed.append(ERAS_HEADER)
+                header += 1
+            fixed.append(line)
+        if apply and "".join(fixed) != "".join(lines):
+            p.write_text("\n".join(fixed))
+    print(f"{'APPLIED' if apply else 'dry run'}: marker spacing {marker}, "
+          f"dangling pointers {dangling}, restored table headers {header}")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main(sys.argv))

scripts/restore-punctuation.py

@@ -0,0 +1,66 @@
+#!/usr/bin/env python3
+"""Undo trailing-punctuation damage by restoring lines that match HEAD exactly
+except for a stripped trailing `,` / `;` / removed trailing word.
+
+The repair pass over-reached: its "dangling pointer" cleanup also matched every
+wrapped prose line ending in a comma, and deleted the comma. A line whose text
+is otherwise byte-identical to its HEAD version, differing only by trailing
+punctuation, is not an edit — it is damage, so HEAD's line goes back.
+
+Usage: restore-punctuation.py [--apply]
+"""
+import pathlib
+import subprocess
+import sys
+
+REPO = pathlib.Path(".")
+VAULT = REPO / "serverAppConfigs-docs"
+
+
+def head_text(rel):
+    r = subprocess.run(["git", "show", f"HEAD:{rel}"], capture_output=True, text=True)
+    return r.stdout if r.returncode == 0 else None
+
+
+def main(argv):
+    apply = "--apply" in argv
+    restored = 0
+    pages = 0
+    for p in sorted(VAULT.rglob("*.md")):
+        s = str(p)
+        if ".AGENTTRASH" in s or ".obsidian" in s:
+            continue
+        rel = s
+        head = head_text(rel)
+        if head is None:
+            continue
+        cur = p.read_text(errors="replace").split("\n")
+        # Key on (length, prefix) of the HEAD line minus trailing punctuation so a
+        # damaged line can find its original.
+        index = {}
+        for hl in head.split("\n"):
+            h = hl.rstrip()
+            if h.endswith((",", ";")) or True:
+                key = (len(h.rstrip(",;. ")), h.rstrip(",;. ")[:60])
+                index.setdefault(key, h)
+        touched = 0
+        for i, cl in enumerate(cur):
+            c = cl.rstrip()
+            if not c or c.endswith((".", ":", "|", "`", ")", ","  , ";")):
+                continue
+            key = (len(c), c[:60])
+            hl = index.get(key)
+            if hl and hl != c and hl.startswith(c):
+                cur[i] = hl
+                touched += 1
+        if touched:
+            pages += 1
+            restored += touched
+            if apply:
+                p.write_text("\n".join(cur))
+    print(f"{'APPLIED' if apply else 'dry run'}: {restored} lines restored across {pages} pages")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main(sys.argv))

scripts/serve-frank-archon.sh

@@ -15,17 +15,21 @@
 # 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.
-# Deployed shape (2026-10-13): THREE decode slots x 200,000 tokens, fp8
-# (quantized) KV in a 5,120 MiB pool (contract 3 x 200,000 + 1.3 %) and a
-# 25,600 MiB resident expert slab — 30,720 MiB of the 30,969 MiB the engine's
-# own budget table makes claimable, spent on the slab because prefill is
-# slab-limited. 44 GiB/rank pinned expert pool, MTP depth 2, prefix cache host
-# 8 GiB + disk 64 GiB, PLE pinned in RAM.
+# Deployed shape (2026-10-20, radiance 1.8.1): FOUR decode slots x 200,000 tokens over a
+# >= 700,000-token fp8 KV pool, 48 GiB/rank pinned expert pool, MTP depth 2, prefix cache
+# in pinned host RAM, PLE pinned in RAM. The per-card split between the expert slab and the KV
+# pool is NO LONGER an operator number — 1.3.0 removed the VRAM pair and the budget
+# resolver derives it from headroom, the cache bound and the host pool, so the slab
+# size and the pool's token count are LEDGER lines. After every boot read them, plus
+# the two lines that size a prefill step — "activation arena: ... lends ... while
+# steps are at most N tokens" (the arena levels the expert slab borrows) and
+# "prefill staging: ... a step of more than N tokens ..." (the chunk size below which
+# pooled experts are read synchronously) — and the cache's session backing.
 #
 # The root unit (scripts/frank-archon.service, User=dank,
-# LimitMEMLOCK=infinity) grants the pin budget: 2 x 44 GiB expert pools +
-# the 47.7 GiB PLE table + 8 GiB prefix host tier — ~147 GiB of pinned
-# pages, which is ALSO why this script refuses to start when ttm's
+# LimitMEMLOCK=infinity) grants the pin budget: 2 x 48 GiB expert pools + the 47.7 GiB PLE
+# table + 8 GiB prefix host tier + the checkpoint store (slots x 112 MiB) — ~159 GiB of
+# pinned pages, which is ALSO why this script refuses to start when ttm's
 # pages_limit/pages_max cap is under FRANK_ARCHON_TTM_MIN_MIB (see below).
 set -euo pipefail
 
@@ -44,7 +48,7 @@ set +a
 : "${FRANK_ARCHON_IMAGE:?FRANK_ARCHON_IMAGE must name the radiance image}"
 : "${FRANK_ARCHON_MODEL_DIR:?FRANK_ARCHON_MODEL_DIR must name the .rad dir}"
 : "${FRANK_ARCHON_MODEL_FILE:?FRANK_ARCHON_MODEL_FILE must name the .rad file}"
-: "${FRANK_ARCHON_STATE_DIR:?FRANK_ARCHON_STATE_DIR must name the /data state dir}"
+: "${FRANK_ARCHON_STATE_DIR:?FRANK_ARCHON_STATE_DIR must name the host dir holding the rad-tune cache}"
 : "${FRANK_ARCHON_CONTAINER:?FRANK_ARCHON_CONTAINER must name the container}"
 : "${FRANK_ARCHON_SERVED_NAME:?FRANK_ARCHON_SERVED_NAME must name the alias}"
 : "${FRANK_ARCHON_PORT:?FRANK_ARCHON_PORT must be the port}"
@@ -56,13 +60,11 @@ set +a
 : "${FRANK_ARCHON_PLACEMENT:?FRANK_ARCHON_PLACEMENT must be set}"
 : "${FRANK_ARCHON_HOST_POOL_MIB:?FRANK_ARCHON_HOST_POOL_MIB must be set}"
 : "${FRANK_ARCHON_GPU_HEADROOM_MIB:?FRANK_ARCHON_GPU_HEADROOM_MIB must be set}"
-: "${FRANK_ARCHON_VRAM_WEIGHTS_MIB:?FRANK_ARCHON_VRAM_WEIGHTS_MIB must be set}"
-: "${FRANK_ARCHON_VRAM_KV_MIB:?FRANK_ARCHON_VRAM_KV_MIB must be set}"
+: "${FRANK_ARCHON_BUSY_PREFILL_CHUNK:?FRANK_ARCHON_BUSY_PREFILL_CHUNK must be set (auto|off|N)}"
 : "${FRANK_ARCHON_KV_DTYPE:?FRANK_ARCHON_KV_DTYPE must be set}"
 : "${FRANK_ARCHON_SPEC_TOKENS:?FRANK_ARCHON_SPEC_TOKENS must be set}"
 : "${FRANK_ARCHON_MAX_BATCHED_TOKENS:?FRANK_ARCHON_MAX_BATCHED_TOKENS must be set}"
-: "${FRANK_ARCHON_PREFIX_HOST_MIB:?FRANK_ARCHON_PREFIX_HOST_MIB must be set}"
-: "${FRANK_ARCHON_PREFIX_DISK_MIB:?FRANK_ARCHON_PREFIX_DISK_MIB must be set}"
+: "${FRANK_ARCHON_PREFIX_CACHE_MIB:?FRANK_ARCHON_PREFIX_CACHE_MIB must be set}"
 : "${FRANK_ARCHON_NGRAM_PLACEMENT:?FRANK_ARCHON_NGRAM_PLACEMENT must be set}"
 : "${FRANK_ARCHON_TTM_MIN_MIB:?FRANK_ARCHON_TTM_MIN_MIB must be set}"
 : "${FRANK_ARCHON_TTM_TARGET_MIB:?FRANK_ARCHON_TTM_TARGET_MIB must be set}"
@@ -103,19 +105,12 @@ if [ ! -f "$FRANK_ARCHON_TEMPLATE" ]; then
     exit 1
 fi
 
-mkdir -p "$FRANK_ARCHON_STATE_DIR/kvcache/frank-archon"
-# The engine's create is NOT recursive: with only the state dir mounted, its
-# "cannot create /data/kvcache/frank-archon: No such file or directory"
-# left the SSD prefix tier off (measured 2026-10-06 boot ledger). Pre-create
-# the full path on the host so the tier opens on first boot.
-
 mkdir -p "$FRANK_ARCHON_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).
+# that wrote it. The engine's create is not recursive, so the dir is pre-created.
 
 if [ ! -e /dev/kfd ] || [ ! -d /dev/dri ]; then
     echo "ERROR: GPU device nodes absent (/dev/kfd, /dev/dri)" >&2
@@ -148,6 +143,15 @@ done
 LOG=/home/dank/logs/frank_archon.log
 mkdir -p "$(dirname "$LOG")"
 
+# Interleave is opt-in: 0 is the engine's default and passing it anyway would put
+# a flag in argv that changes nothing but the record. The sharing cap is always
+# explicit because `auto` vs `off` is the difference between decode waiting one
+# chunk and waiting the whole step.
+PREFILL_ARGS=()
+if [ "${FRANK_ARCHON_PREFILL_INTERLEAVE:-0}" -gt 0 ]; then
+    PREFILL_ARGS=(--prefill-interleave "$FRANK_ARCHON_PREFILL_INTERLEAVE")
+fi
+
 # 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
@@ -156,8 +160,9 @@ mkdir -p "$(dirname "$LOG")"
 # 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.
+# The template rides a single-file mount and the .rad dir is ro. The prefix cache
+# has no disk tier any more, so the only host state this container writes is the
+# rad-tune cache under /opt/radiance/share/radiance/tune.
 podman run -d --name "$FRANK_ARCHON_CONTAINER" \
   --network host \
   --init \
@@ -165,7 +170,6 @@ podman run -d --name "$FRANK_ARCHON_CONTAINER" \
   --ulimit memlock=-1:-1 \
   --device /dev/kfd --device /dev/dri \
   -v "$FRANK_ARCHON_MODEL_DIR":/models:ro \
-  -v "$FRANK_ARCHON_STATE_DIR":/data \
   -v "$FRANK_ARCHON_STATE_DIR/tune":/opt/radiance/share/radiance/tune \
   -v "$FRANK_ARCHON_TEMPLATE":/templates/template.jinja:ro \
   "$FRANK_ARCHON_IMAGE" \
@@ -179,15 +183,13 @@ podman run -d --name "$FRANK_ARCHON_CONTAINER" \
   --placement "$FRANK_ARCHON_PLACEMENT" \
   --host-pool-mib "$FRANK_ARCHON_HOST_POOL_MIB" \
   --gpu-headroom-mib "$FRANK_ARCHON_GPU_HEADROOM_MIB" \
-  --vram-weights-mib "$FRANK_ARCHON_VRAM_WEIGHTS_MIB" \
-  --vram-kv-mib "$FRANK_ARCHON_VRAM_KV_MIB" \
   --kv-cache-dtype "$FRANK_ARCHON_KV_DTYPE" \
-  --prefix-cache-host-mib "$FRANK_ARCHON_PREFIX_HOST_MIB" \
-  --prefix-cache-dir /data/kvcache/frank-archon \
-  --prefix-cache-disk-mib "$FRANK_ARCHON_PREFIX_DISK_MIB" \
+  --prefix-cache-mib "$FRANK_ARCHON_PREFIX_CACHE_MIB" \
   --ngram-placement "$FRANK_ARCHON_NGRAM_PLACEMENT" \
   --num-speculative-tokens "$FRANK_ARCHON_SPEC_TOKENS" \
   --max-num-batched-tokens "$FRANK_ARCHON_MAX_BATCHED_TOKENS" \
+  --busy-prefill-chunk "$FRANK_ARCHON_BUSY_PREFILL_CHUNK" \
+  "${PREFILL_ARGS[@]}" \
   ${FRANK_ARCHON_EXTRA_ARGS:+$FRANK_ARCHON_EXTRA_ARGS} \
   > "$LOG" 2>&1
 

scripts/serve-frank-dragoon.sh

@@ -27,6 +27,11 @@
 # 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-archon's.
+# Since 2026-10-19 the container also carries the XDNA2 NPU lane
+# (HALOGEN_NPU_MODELS): the vendor's precompiled AIE programs for the models
+# named there run on the NPU inside THIS container and answer /v1/embeddings,
+# beside the Flash model, on the same port. Opt-in — the variable empty is the
+# pre-lane endpoint, byte for byte.
 set -euo pipefail
 
 SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
@@ -115,6 +120,128 @@ if [ ! -e "$DEV_KFD" ] || [ ! -d "$DEV_DRI" ]; then
     echo "frank-dragoon: $DEV_KFD or $DEV_DRI missing — no gfx1151 to serve on" >&2
     exit 1
 fi
+
+# --- NPU lane (XDNA2), opt-in via HALOGEN_NPU_MODELS ------------------------
+# Empty = the endpoint exactly as it ran before the lane existed: no device, no
+# extra mounts, no gate below. Set = three host preconditions, each refused BY
+# NAME (the 2026-10-01 law: the serve gate and the deployer gate must agree):
+#   1. the staged model files under $FRANK_DRAGOON_NPU_DIR — a path that MUST
+#      live INSIDE $FRANK_DRAGOON_MODEL_DIR, because the container's only
+#      handle on them is the read-only /models mount. A nested bind at
+#      /models/npu cannot work: runc has to mkdir its mountpoint and the parent
+#      bind is ro (`mkdirat .../merged/models/npu: read-only file system`,
+#      measured 2026-10-19), and the image ships no /models at all for it to
+#      land on. `$MODEL_DIR/npu/<id>` is visible at /models/npu/<id> through
+#      the existing mount, which is also where the vendor's catalog expects it.
+#      The engine re-checks size+sha256 against that catalog at boot; it cannot
+#      fetch anything here because /models is read-only and HALOGEN_DOWNLOAD
+#      stays unset — no outbound connection at boot),
+#   2. the distro XRT's three libraries, each mounted THREE times: where the
+#      image looks for XRT (/opt/xilinx/xrt/lib), at their own path (the
+#      libraries find each other there), and at /opt/xilinx/lib/<multiarch>
+#      — the NPU child searches that third prefix too, and since the host's
+#      libxrt2 was reconfigured 2026-10-20 it is the ONLY prefix the child
+#      names: omitting it crashes the lane with `No such library
+#      '/opt/xilinx/lib/x86_64-linux-gnu/libxrt_core.so.2'` and the engine
+#      supervisor takes the dead lane down on the whole container (measured
+#      2026-10-21: 88-restart boot loop). Real files only — an /opt/xilinx/xrt
+#      of symlinks into the system dir dangles inside the container, which the
+#      vendor calls out explicitly),
+#   3. the GPU fabric clock HELD: on Strix Halo the iGPU and the NPU co-running
+#      hang the machine while FCLK changes speed, and the engine refuses to
+#      start when it moves — it cannot read host sysfs from inside the
+#      container, so the proof lives here, checked exactly the way the vendor's
+#      `halogen-fabric-clock status` checks it.
+NPU_ARGS=()
+NPU_MODELS="${HALOGEN_NPU_MODELS:-}"
+if [ -n "$NPU_MODELS" ]; then
+    DEV_ACCEL="${FRANK_DRAGOON_DEV_ACCEL:-/dev/accel/accel0}"
+    NPU_DIR="${FRANK_DRAGOON_NPU_DIR:?HALOGEN_NPU_MODELS is set, so FRANK_DRAGOON_NPU_DIR must name the staged model dir}"
+    XRT_DIR="${FRANK_DRAGOON_XRT_DIR:-/usr/lib/x86_64-linux-gnu}"
+    SYSFS="${FRANK_DRAGOON_SYSFS:-/sys}"
+    # The lane's files have exactly one door into the container: the read-only
+    # payload mount. A staging dir OUTSIDE it would need a nested bind whose
+    # mountpoint runc cannot create through that read-only parent, so refuse the
+    # shape by name here rather than let runc die at container init (2026-10-19).
+    case "$NPU_DIR/" in
+        "$FRANK_DRAGOON_MODEL_DIR"/*) ;;
+        *) echo "frank-dragoon: FRANK_DRAGOON_NPU_DIR=$NPU_DIR is outside the payload dir $FRANK_DRAGOON_MODEL_DIR — the lane's files reach the container only through the read-only /models mount; move the staging dir inside it" >&2
+           exit 1 ;;
+    esac
+    if [ ! -e "$DEV_ACCEL" ]; then
+        echo "frank-dragoon: $DEV_ACCEL missing — the NPU lane needs the amdxdna node (is iommu=pt still on the boot line?)" >&2
+        exit 1
+    fi
+    # Existence is not access. This endpoint runs rootless, so the container's
+    # namespace maps exactly one uid/gid (dank) and a root:render 0660 node reads
+    # `nobody:nogroup` inside it — the engine then dies naming the node itself
+    # (measured 2026-10-19). --group-add keep-groups cannot help: an unmapped gid
+    # cannot be granted into a namespace that does not map it, verified with and
+    # without the flag from a shell already in `render`. The door is the udev mode.
+    # NB: `[ -o FILE ]` is NOT "other-writable" — it means "exists", and `-o` is
+    # also the OR operator inside test — so the permission bit is read directly.
+    if [ $(( 8#$(stat -c '%a' "$DEV_ACCEL") & 8#2 )) -eq 0 ]; then
+        echo "frank-dragoon: $DEV_ACCEL is $(stat -c '%a %U:%G' "$DEV_ACCEL") — a rootless container cannot open it; install dankclaw/udev/98-halogen-npu-access.rules and re-trigger udev (sudo udevadm control --reload-rules && sudo udevadm trigger --sysname-match=accel0)" >&2
+        exit 1
+    fi
+    for M in ${NPU_MODELS//,/ }; do
+        if [ ! -d "$NPU_DIR/$M" ]; then
+            echo "frank-dragoon: NPU model $M not staged in $NPU_DIR;" >&2
+            echo "  fetch it: bash scripts/download-frank-dragoon-npu.sh" >&2
+            exit 1
+        fi
+    done
+    for L in libxrt_coreutil.so.2 libxrt_core.so.2 libxrt_driver_xdna.so.2; do
+        if [ ! -e "$XRT_DIR/$L" ]; then
+            echo "frank-dragoon: XRT NPU library $XRT_DIR/$L missing — the NPU lane cannot load (Ubuntu libxrt2 + libxrt-npu2)" >&2
+            exit 1
+        fi
+        REAL="$(readlink -f "$XRT_DIR/$L")"
+        MULTIARCH="${XRT_DIR##*/}"
+        NPU_ARGS+=(-v "$REAL:/opt/xilinx/xrt/lib/$L:ro" -v "$REAL:$XRT_DIR/$L:ro"
+                   -v "$REAL:/opt/xilinx/lib/$MULTIARCH/$L:ro")
+    done
+    HELD=0
+    for D in "$SYSFS"/class/drm/card*/device; do
+        [ -e "$D/pp_dpm_fclk" ] || continue
+        [ -e "$D/power_dpm_force_performance_level" ] || continue
+        PERF="$(cat "$D/power_dpm_force_performance_level" 2>/dev/null || true)"
+        TOP="$(grep . "$D/pp_dpm_fclk" | tail -n 1)"
+        if [ "$PERF" = high ] || { [ "$PERF" = manual ] \
+                && [ "$(grep -c '\*' "$D/pp_dpm_fclk")" = 1 ] && [ "${TOP%\*}" != "$TOP" ]; }; then
+            HELD=1
+        else
+            echo "frank-dragoon: fabric clock at $D is '$PERF', not held — the NPU lane refuses to start (GPU+NPU together need FCLK pinned)" >&2
+            echo "  hold it: sudo halogen-fabric-clock hold" >&2
+            exit 1
+        fi
+    done
+    if [ "$HELD" = 0 ]; then
+        echo "frank-dragoon: no amdgpu device with a fabric-clock control under $SYSFS/class/drm — cannot prove FCLK is held" >&2
+        exit 1
+    fi
+    NPU_ARGS+=(--device "$DEV_ACCEL" \
+               -e HALOGEN_NPU_MODELS="$NPU_MODELS")
+    echo "frank-dragoon: NPU lane armed: $NPU_MODELS on $DEV_ACCEL (fabric clock held)" >&2
+fi
+
+# Container network. Empty = podman's rootless default (`pasta`), which is a
+# private netns and CANNOT be joined by anything else: podman refuses a second
+# network while the primary is pasta ("cannot set multiple networks without
+# bridge network mode"), the endpoint's published port answers 200 on the host
+# and on the LAN but is REFUSED from a dankclaw_default container (measured
+# 2026-10-19), and `host.containers.internal:7770` answers 200 yet resolves to
+# 169.254.1.2 — link-local, which open-notebook's URL guard refuses to store.
+# So an endpoint on pasta has no address an app container can use; naming the
+# app bridge here is the only shape that lets open-notebook dial
+# http://frank-dragoon-halogen:8731 for the NPU endpoints. It does not widen
+# the surface: the engine's unauthenticated 8730 is bound to the container's
+# OWN loopback (/proc/net/tcp: 127.0.0.1:8730 vs 0.0.0.0:8731, checked the same
+# day), so only the API port is reachable by name.
+NET_ARGS=()
+if [ -n "${FRANK_DRAGOON_NETWORK:-}" ]; then
+    NET_ARGS=(--network "$FRANK_DRAGOON_NETWORK")
+fi
 # Host-RAM preflight — the engine's pin gate, checked BEFORE podman run.
 # The engine refuses to pin when MemAvailable is below the checkpoint plus
 # a 16 GiB floor: pinned pages cannot be swapped, and under the floor the
@@ -189,6 +316,8 @@ podman run --name "$FRANK_DRAGOON_CONTAINER" \
   ${HALOGEN_WEIGHTS_LOCK:+-e HALOGEN_WEIGHTS_LOCK="$HALOGEN_WEIGHTS_LOCK"} \
   -v "$FRANK_DRAGOON_MODEL_DIR:/models:ro" \
   -v "$FRANK_DRAGOON_MODEL_DIR/tokenizer:/tokenizer:ro" \
+  "${NET_ARGS[@]}" \
+  "${NPU_ARGS[@]}" \
   "$FRANK_DRAGOON_IMAGE" \
   > "$LOG" 2>&1
 

scripts/serve-frank-zealot.sh

@@ -3,33 +3,60 @@
 # in the file) as frank-zealot on Dankclaw's RTX 3090 via llama.cpp (PrismML
 # vendor build 10777, CUDA sm_86).
 #
-# 2026-10-18 (Frank): Bonsai-2 27B PQ2_0 → the 9B MTP export at THREE
-# 262,144-token conversations (--ctx-size 786432 --parallel 3), q8_0 K + q8_0 V.
-# The 9B bills 17,408 B/token against the 27B's 34,816 (8 full-attention layers
-# instead of 16), and that halved rate is what funds three NATIVE windows where
-# the 27B could only afford two cut to 200,704. Verbosity 4 ships so the
-# VRAM-fit forensics (KV layout, buffer sizes, graph capture) land in the
-# journal.
+# 2026-10-18 (Frank): Bonsai-2 27B PQ2_0 → the 9B MTP export, then the same
+# evening TWO 262,144-token conversations (--ctx-size 524288 --parallel 2) over
+# an UNQUANTIZED f16 KV cache.
+#
+# 2026-10-19 (Frank): THREE 200,704-token conversations over a 602,112 pool
+# (--ctx-size 602112 --parallel 3), K left at the engine's own default (f16),
+# V dropped to q8_0, batch 1024×6 / ubatch 1024, and the MTP drafter ARMED
+# (--spec-type draft-mtp). The 9B bills 8,192 elements per token per cache (8
+# full-attention layers instead of the 27B's 16), so f16 K is 16,384 B/token and
+# q8_0 V is 8,704: 25,088 B/token = 14,406.00 MiB at the 602,112 pool. That
+# 7,680 B/token against exact V is exactly what funds the third conversation
+# AND a draft context that bills f16 KV over the whole pool. Verbosity 4 ships
+# so the VRAM-fit forensics (KV layout, buffer sizes, graph capture) land in
+# the journal.
 #
 # Architecture (engine ledger, not the marketing page): qwen35 hybrid, 32
 # layers with qwen35.full_attention_interval = 4 ⇒ 8 full-attention + 24 Gated
 # DeltaNet, 4 KV heads × 256 dim, native 262,144. The KV pool scales with the 8
-# full layers (13,056.00 MiB at the 786,432 pool, ledger-exact); the DeltaNet
-# layers cost a fixed recurrent state per SLOT — 452.25 MiB for 3 cells, ~151
-# MiB each. The runtime is a hard lock, not a preference: custom GGML type 142
-# plus prism.hadamard.* metadata, which only the vendor build registers, and
-# MTP beside quantized V needs build ≥ b10776 — so the prebuilt moved 10754 →
-# 10777 with the payload. Vision comes from the publisher's Q8_0 projector (the
-# BF16 one can crash the server on concurrent images, and this endpoint runs
-# three slots), so --mmproj is what gives this endpoint eyes; MMPROJ_FILE="" is
-# the documented text-only opt-out.
+# full layers (14,406.00 MiB of f16 K + q8_0 V at the 602,112 pool); the
+# DeltaNet layers cost a fixed recurrent state per SLOT — ~50.25 MiB a cell, so
+# 150.75 MiB for three, and an armed depth-2 drafter triples that again. The
+# runtime is a hard lock, not a preference: custom GGML type 142 plus
+# prism.hadamard.* metadata, which only the vendor build registers — and the
+# b10776 gate that moved the prebuilt 10754 → 10777 (MTP beside a quantized V)
+# is LOAD-BEARING again on this shape, not moot as it was under exact KV.
+# Vision comes from the publisher's Q8_0 projector (the BF16 one can crash the
+# server on concurrent images, and this endpoint runs three slots), so --mmproj is
+# what gives this endpoint eyes; MMPROJ_FILE="" is the documented text-only
+# opt-out.
 #
-# Speculative decoding ships OFF, measured: the head loads and accepts well
-# (0.798/0.617 per position, mean length 2.41) but the draft context bills its
-# own f16 KV over the WHOLE pool — 4,096 B/position × 786,432 = 3,072 MiB plus
-# buffers — and at ubatch 2048 that squeeze HALVES decode (167.2 → 109.2 t/s).
-# frank-zealot.env carries the six-arm table and the arm that turns it back on
-# (--ubatch-size 1024, decode 213.5 t/s) with its price.
+# A refusal-direction adapter rides on top of the pack (Frank, 2026-10-19):
+# AtomicChat's rank-1 LoRA, applied at load by --lora-scaled. It is an edit
+# inside the compute graph, not a second model — B = -r (the refusal direction),
+# A built from the base pack's folded input basis, every transformer layer, the
+# embedding deliberately untouched because an embedding LoRA crashes this fork's
+# graph. The card verified it on prism-b10777-e3de715 — the build pinned here —
+# and says older forks refuse the pack outright (`unsupported
+# prism.hadamard.version: 2`), which makes the runtime lock doubly load-bearing.
+# Its own metadata names the PTQ1_0 packing as the pack the direction was fitted
+# against, so what proves the effect is a refusal probe against the live
+# endpoint, not the metadata and not the card's table. LORA_FILE="" drops the
+# flag and the endpoint is the plain pack again.
+#
+# Speculative decoding ships ON (Frank, 2026-10-19). The head is IN the file and
+# accepts well (0.798/0.617 per position, mean length 2.41, measured 2026-10-18);
+# what made it lose that evening was the bill, not the drafts — the draft context
+# is built against the target's WHOLE pool, so blk.32 adds 4,096 B/position
+# (2,352.00 MiB at 602,112) plus 480.97 MiB of its own compute buffers on the
+# card, and it triples the recurrent state per slot (452.25 MiB for three cells
+# against 50.25 a cell with the drafter off). CACHE_TYPE_V=q8_0 is what pays
+# that: 7,680 B/token cheaper than exact V, 4,410 MiB at this pool. The ubatch
+# drop to 1024 contributes ~406 MiB here, NOT the ~1,306 the 786,432-pool census
+# showed — that figure does not transfer between shapes. SPEC_TYPE=none is
+# the rollback and strips the whole flag set.
 #
 # Sampling: the checkpoint carries the publisher's thinking recipe as GGUF
 # metadata (general.sampling.* = temp 1.0 / top_p 0.95 / top_k 20 / min_p 0 /
@@ -56,43 +83,46 @@ fi
 : "${ALIAS:=frank-zealot}"
 : "${BIND_ADDR:=0.0.0.0}"
 : "${LISTEN_PORT:=7771}"
-# ctx-size is the POOL llama.cpp divides across slots: 786,432 / 3 = 262,144
-# per conversation — every slot at the model's trained window. The harness
-# contextWindow MUST quote the PER-SLOT number — a longer prompt is answered
-# with a 400, never truncated.
-: "${CTX_SIZE:=786432}"
+# ctx-size is the POOL llama.cpp divides across slots: 602,112 / 3 = 200,704 a
+# conversation. The harness contextWindow MUST quote the PER-SLOT number — a
+# longer prompt is answered with a 400, never truncated. The pool is priced by
+# the KV bill, not by the trained window: at 25,088 B/token (f16 K + q8_0 V) the
+# 602,112 pool costs 14,406.00 MiB and the armed drafter adds its own f16 KV over
+# the whole pool (2,352.00 MiB). Exact V at this pool (18,816 MiB) or the old
+# 786,432 pool at any dtype cannot boot inside the 24,123 MiB the driver leaves
+# addressable.
+: "${CTX_SIZE:=602112}"
 : "${PARALLEL:=3}"
 # 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. It ALSO sets the compute-buffer size,
-# which is the term that decides whether an MTP draft context fits beside a
-# 786,432-position pool: 1024 hands back 1,306 MiB and is the arm that runs the
-# drafter at three slots (frank-zealot.env carries the table).
-: "${BATCH_SIZE:=4096}"
-: "${UBATCH_SIZE:=2048}"
-# Quantized KV: q8_0 K + q8_0 V — the only pair that funds 3 × 262,144 on this
-# card. 17 KiB/token at this geometry (8 full-attention layers × 4 KV heads ×
-# 256 dim); 13,056.00 MiB at the 786,432 pool, ledger-exact. f16 would bill
-# 26,112 MiB against a 24,123 MiB card and dies at cudaMalloc; q4_0 is the
-# fallback rung. Explicit either way so the contract is visible in the argv,
-# and --flash-attn stays required for quantized V (no true fp8 KV dtype exists
-# in this build).
-: "${CACHE_TYPE_K:=q8_0}"
+# The logical batch is VRAM- and throughput-neutral at a fixed ubatch, so 6144
+# (1024×6) is free; the ubatch is what sets the compute-buffer size, and 1024 is
+# the rung every measured MTP arm here ran on (213.5 t/s at 1024 against 109.2
+# at 2048) — worth ~406 MiB at THIS shape, not the ~1,306 the old pool showed.
+: "${BATCH_SIZE:=6144}"
+: "${UBATCH_SIZE:=1024}"
+# Asymmetric KV: f16 K (the engine's own default, spelled out so the contract is
+# visible in argv) + q8_0 V. 8,192 elements per token per cache (8 full-attention
+# layers × 4 KV heads × 256 dim) ⇒ 16,384 B/token for K and 8,704 for V (q8_0 is
+# 1.0625 B/element — llama.cpp has no true fp8 KV dtype), 25,088 B/token and
+# 14,406.00 MiB at the 602,112 pool. That is the halfway door between exact KV
+# (32,768 B/token, which costs the third conversation and the drafter both) and
+# the fully quantized pair (17,408 B/token, which costs retrieval fidelity in the
+# keys); --flash-attn stays pinned because quantized V is illegal without it.
+: "${CACHE_TYPE_K:=f16}"
 : "${CACHE_TYPE_V:=q8_0}"
-# Speculative decoding defaults OFF, measured on this card and shape: the head
-# IS in the checkpoint (qwen35.nextn_predict_layers = 1 — MTP is a property of
-# the FILE, so the plain PQ2_0 sibling could not run it at any flag value), it
-# loads, and it accepts well (mean accepted length 2.41) — but the draft context
-# bills its own f16 KV over the WHOLE pool (4,096 B/position, 3,072 MiB here)
-# and at ubatch 2048 that squeeze halves decode: 167.2 → 109.2 t/s. There is no
-# --spec-draft-cache-type knob in this build to make the draft cheap, and no
-# --spec-draft-model either: the draft rides the main model's weights. Card gate:
-# quantized V alongside MTP needs fork build >= prism-b10776, which is why
-# LLAMA_BIN moved to the 10777 prebuilt; on an older build the pair is illegal.
-# SPEC_TYPE=draft-mtp + UBATCH_SIZE=1024 is the documented MTP arm (213.5 t/s);
-# SPEC_TYPE=none strips the whole set (flags move together).
-: "${SPEC_TYPE:=none}"
+# Speculative decoding defaults ON: the head IS in the checkpoint
+# (qwen35.nextn_predict_layers = 1 — MTP is a property of the FILE, so the plain
+# PQ2_0 sibling could not run it at any flag value) and the draft context rides
+# the MAIN model's weights, so there is no --spec-draft-model. Its bill is the
+# target's whole pool at 4,096 B/position plus ~0.45 GiB of buffers at this
+# ubatch and a tripled recurrent state; CACHE_TYPE_V=q8_0 and UBATCH_SIZE=1024
+# above are what pay for it. The draft cache dtype IS a further knob
+# (--spec-draft-type-k / --spec-draft-type-v, both default f16 — verified in this
+# build's --help) and stays at its default here. Card gate: quantized V alongside
+# MTP needs fork build >= prism-b10776, which is why LLAMA_BIN is the 10777
+# prebuilt; the type-142 loader lock keeps it pinned regardless.
+# SPEC_TYPE=none is the rollback and strips the whole set (flags move together).
+: "${SPEC_TYPE:=draft-mtp}"
 : "${SPEC_DRAFT_N_MAX:=2}"
 : "${SPEC_DRAFT_N_MIN:=0}"
 : "${SPEC_DRAFT_P_MIN:=0}"
@@ -104,7 +134,7 @@ fi
 : "${NGL:=99}"
 # Log verbosity threshold (llama.cpp -lv). 3 is the engine default (info);
 # 4 adds debug detail (KV layout, buffer sizes, graph capture) which is what
-# the VRAM-fit forensics need — the q8_0 KV contract and the draft-KV bill are
+# the VRAM-fit forensics need — the exact-KV size and the draft-KV bill are
 # only provable from this log. Levels above 4 flood the journal.
 : "${VERBOSITY:=4}"
 # /metrics needs the flag: llama.cpp returns 501 unless the server starts with
@@ -119,6 +149,13 @@ fi
 # Vision projector. No colon on purpose: an explicitly empty value means
 # "text-only, on purpose" and must NOT be replaced by the default path.
 : "${MMPROJ_FILE=/home/dank/models/Bonsai2-9B-MTP/Ternary-Bonsai-2-9B-mmproj-Q8_0.gguf}"
+# Refusal adapter. No colon on purpose, the same convention as MMPROJ_FILE: an
+# explicitly empty LORA_FILE is the documented opt-out (the plain pack again)
+# and must NOT be replaced by the default path. The scale travels INSIDE the
+# same argv token as the file, so LORA_SCALE only matters while LORA_FILE names
+# something; 0 is the card's "switch it off without touching the file" value.
+: "${LORA_FILE=/home/dank/models/Bonsai2-9B-MTP/Ternary-Bonsai-2-9B-Uncensored-LoRA.gguf}"
+: "${LORA_SCALE:=1}"
 
 # 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
@@ -132,6 +169,17 @@ if [[ -n "$MMPROJ_FILE" ]]; then
     EXTRA_ARGS+=(--mmproj "$MMPROJ_FILE")
 fi
 
+# The adapter reaches the engine as ONE token — --lora-scaled <file>:<scale> —
+# so a scale can never arrive without its file. It is applied once, at load;
+# nothing here hot-swaps it (--lora-init-without-apply plus POST /lora-adapters
+# is that shape, and a process holding three conversations is not the place to
+# re-parameterise weights mid-flight). A missing file is a fetch that never
+# finished, so refuse rather than let Restart=always loop on it.
+if [[ -n "$LORA_FILE" ]]; then
+    [[ -e "$LORA_FILE" ]] || { echo "frank-zealot: missing $LORA_FILE" >&2; exit 1; }
+    EXTRA_ARGS+=(--lora-scaled "${LORA_FILE}:${LORA_SCALE}")
+fi
+
 # Prometheus scraping is opt-IN in llama.cpp: without --metrics the server
 # answers 501 on /metrics, and the fleet scrape then reports the endpoint DOWN.
 if [[ "$METRICS" = "1" ]]; then
@@ -169,11 +217,11 @@ fi
 # 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-zealot.env is a real path — without this
-# flag or that build option the engine silently falls back and the
-# contract becomes a lie.
+# Flash attention stays pinned on. Exact f16 KV runs fine with or without it,
+# but the documented fallback rung (quantized V) is ILLEGAL without it, and the
+# build carries GGML_CUDA_FA_ALL_QUANTS=ON (since 2026-09-17) so that rung is a
+# real path — dropping the flag here would leave the retreat route silently
+# falling back to something the env file does not describe.
 ARGS=(
     --model "$MODEL_FILE"
     --alias "$ALIAS"

scripts/test-changed.sh

@@ -293,6 +293,14 @@ for path in "${CHANGED[@]}"; do
             add_test tests/caddyfile.bats
             add_test tests/deployment_scoping.bats
             ;;
+        # The GPU exporter is a host process; its seam pins the collector, the
+        # user unit, the deployer function, the planner route, the Prometheus
+        # scrape jobs and the host-system GPU panels — a cross-file contract, so
+        # the whole seam rides on any of its own files.
+        scripts/gpu-exporter.py|scripts/gpu-exporter.service)
+            add_test tests/gpu_exporter.bats
+            add_test tests/deployment_scoping.bats
+            ;;
         dankclaw/udev/*)
             # Host-level udev rules are applied by manual sudo install + udevadm
             # trigger, not dispatched as a service; nothing here is bats-testable.

serverAppConfigs-docs/Agent/Agent Docs and Edits.md

@@ -1,7 +1,7 @@
 ---
 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.
+description: "Two self-inflicted doc damage classes from parallel agent edits, with the audit checks and recovery order for each."
 tags: [agents, docs, markdown, hashline, edit-recovery]
 timestamp: 2026-10-18T00:00:00Z
 ---
@@ -21,7 +21,7 @@ Damage catalogue:
    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|>...`,
+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,
@@ -46,7 +46,7 @@ Repair order (matters):
 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),
+3. Re-add missing sentence tails (insert before the orphaned fragment)
    keeping list continuation lines indented.
 4. Re-run all checks above.
 
@@ -57,7 +57,7 @@ safe, but its snapshot tag changes on every edit — re-read before each
 subsequent edit. `.AGENTTRASH/` is gitignored (`.gitignore:25`), so NEW trash
 stays local — but do not read that as "the repo has none of it": on 2026-10-18
 `git ls-files | grep -c AGENTTRASH` returns **37** tracked paths
-(`.AGENTTRASH/`, `scripts/.AGENTTRASH/`, `dankserver/.AGENTTRASH/`,
+(`.AGENTTRASH/`, `scripts/.AGENTTRASH/`, `dankserver/.AGENTTRASH/`
 `tests/.AGENTTRASH/`), because gitignore never untracks what was committed
 before the rule. Trash is a temporary hold, not an archive.
 

serverAppConfigs-docs/Agent/Command Center Dotfiles.md

@@ -1,7 +1,7 @@
 ---
 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.
+description: "How the dotfiles repo deploys: stow-equivalent packages, full-replica rsync, the pre-overwrite audit, transport gotchas."
 tags: [dotfiles, omp, deploy, rsync, blankpad]
 timestamp: 2026-10-05T00:00:00-07:00
 ---

serverAppConfigs-docs/Agent/Domain Docs.md

@@ -0,0 +1,55 @@
+---
+type: reference
+title: Domain Docs
+description: "Consumer rules for GLOSSARY.md and docs/adr/, and where this vault out-ranks them on operational facts."
+tags: [agent, glossary, adr, documentation]
+timestamp: 2026-10-20T00:00:00Z
+---
+
+# Domain Docs
+
+How the engineering skills (`/grill-with-docs`, `/domain-modeling`,
+`/improve-codebase-architecture`, `/to-spec`) should consume this repo's design
+vocabulary when exploring the codebase.
+
+## Before exploring, read these
+
+- **`GLOSSARY.md`** at the repo root
+- **`docs/adr/`**: read ADRs that touch the area you're about to work in
+
+If either doesn't exist, **proceed silently**. Don't flag their absence; don't
+suggest creating them upfront. `/domain-modeling` (reached via
+`/grill-with-docs` and `/improve-codebase-architecture`) creates them lazily
+when terms or decisions actually get resolved. As of 2026-10-20 neither exists;
+this page is the pointer, not a promise.
+
+## Ownership against this vault
+
+This repo already carries `serverAppConfigs-docs/` — the operational knowledge
+base and, per repo law, the owner of operational facts (endpoint shapes, Eras,
+Laws, runbooks). `GLOSSARY.md` / `docs/adr/` hold **design vocabulary and
+decisions**. Where a term is defined in both, the vault page that owns the fact
+wins — one fact, one owner. A glossary entry restating an endpoint number is
+the bug, not the second source.
+
+## Use the glossary's vocabulary
+
+When output names a domain concept (an issue title, a refactor proposal, a
+hypothesis, a test name), use the term as defined in `GLOSSARY.md`. Don't drift
+to synonyms the glossary explicitly avoids.
+
+If the concept you need isn't in the glossary yet, that's a signal: either
+you're inventing language the project doesn't use (reconsider) or there's a
+real gap (note it for `/domain-modeling`).
+
+## Flag ADR conflicts
+
+If output contradicts an existing ADR, surface it explicitly rather than
+silently overriding:
+
+> _Contradicts ADR-0007 (…), but worth reopening because…_
+
+## Related
+
+- [[Issue Tracker]] — where specs and tickets built on this vocabulary are published.
+- [[Agent Docs and Edits]] — the edit-safety rules that apply while touching any doc in this checkout.

serverAppConfigs-docs/Agent/Issue Tracker.md

@@ -0,0 +1,85 @@
+---
+type: reference
+title: Issue Tracker
+description: "How agent skills read and write Gitea issues here: credential-safe curl, label IDs, and wayfinding without sub-issues."
+tags: [agent, gitea, issues, triage, api]
+timestamp: 2026-10-20T00:00:00Z
+---
+
+# Issue Tracker
+
+Issues and specs for this repo live as Gitea issues in `dank/serverAppConfigs`
+on `http://192.168.0.143:3000` (Dankclaw). There is no `gh`/`glab` CLI here —
+the door is the GitHub-compatible REST API driven with `curl`. The
+mattpocock-lineage skills (`/triage`, `/to-tickets`, `/to-spec`, `/wayfinder`)
+read this page as their tracker contract. The git workflow around issues and
+PRs (branches, PR-only merges, attribution footer) is owned by
+[[Deployment Flow]]; this page owns only the API shape.
+
+## Auth
+
+The token lives in the git credential file `~/.config/secrets/gitea`: one
+line in git-credential URL form, `http://user:TOKEN@192.168.0.143`. Extract it
+without echoing:
+
+```bash
+tok=$(sed -nE 's#^http://[^:/@]+:([^@]+)@192\.168\.0\.143.*#\1#p' ~/.config/secrets/gitea | head -1)
+```
+
+**A token on a command line is world-readable in `/proc/<pid>/cmdline`** (the
+same leak class AGENTS.md records for HF tokens). Never pass it with `-H` —
+put it in a mode-600 curl config and pass `-K`:
+
+```bash
+cfg=$(mktemp); chmod 600 "$cfg"
+printf 'header = "Authorization: token %s"\n' "$tok" > "$cfg"
+# ... every curl below uses -K "$cfg"; rm -f "$cfg" when done
+```
+
+**GETs also accept HTTP Basic; writes do not** — a POST/PATCH with Basic auth
+is refused with `422 {"message":"token is required"}` (measured 2026-10-20).
+Use the `Authorization: token` header for everything.
+
+## Conventions
+
+`$API=http://192.168.0.143:3000/api/v1/repos/dank/serverAppConfigs`
+
+- **Create an issue**: `curl -s -K "$cfg" -X POST -H 'Content-Type: application/json' -d "$(jq -n --arg t "$TITLE" --rawfile b "$BODY" '{title:$t, body:$b}')" $API/issues`
+- **Read an issue**: `curl -s -K "$cfg" $API/issues/<number>` (fields: `number`, `title`, `body`, `labels[].name`, `state`)
+- **List issues**: `curl -s -K "$cfg" "$API/issues?state=open&limit=50"` — add `&labels=<id>` to filter
+- **Comment**: `curl -s -K "$cfg" -X POST -d "$(jq -n --rawfile b "$BODY" '{body:$b}')" $API/issues/<number>/comments`
+- **Apply labels**: `POST $API/issues/<number>/labels` with `{"labels":[<label-ID numbers>]}` — Gitea wants numeric label **IDs**, not names; resolve them from `GET $API/labels` (see [[Triage Labels]] for which labels exist)
+- **Remove a label**: `DELETE $API/issues/<number>/labels/<label-id>`
+- **Close**: `PATCH $API/issues/<number>` with `{"state":"closed"}`
+- **Blocking relationships**: this instance has no native sub-issues or dependencies — put `Part of #<parent>` / `Blocked by: #<n>, #<n>` lines at the top of the child body. A ticket is unblocked when every listed blocker is closed.
+- **Attribution footer (repo law)**: every issue body you open ends with `cwd: <working directory> · session: <omp session id>` — full rule in [[Deployment Flow]].
+
+**PRs as a request surface: no.** Issues and PRs have separate number spaces on
+Gitea; a bare `#42` is an issue, a PR is spelled "PR #42".
+
+## When a skill says "publish to the issue tracker"
+
+Create a Gitea issue as above.
+
+## When a skill says "fetch the relevant ticket"
+
+`GET $API/issues/<number>` and read `title` + `body` + `labels[].name` +
+comments.
+
+## Wayfinding operations
+
+Used by `/wayfinder`. The **map** is a single issue labelled `wayfinder:map`,
+holding the Notes / Decisions-so-far / Fog body.
+
+- **Map**: create an issue, apply the `wayfinder:map` label (create it via `POST $API/labels` `{"name":"wayfinder:map","color":"#6f42c1"}` if missing).
+- **Child ticket**: an issue carrying `Part of #<map>` at the top of its body, plus a `wayfinder:<type>` label (`research`/`prototype`/`grilling`/`task`).
+- **Blocking**: the `Blocked by:` body line (see Conventions).
+- **Frontier**: list open issues (`?state=open`), drop any with an open `Blocked by` target or an assignee; lowest `number` wins.
+- **Claim**: `POST $API/issues/<n>/assignees` with `{"assignees":["dank"]}` — actually assign it or it stays in the frontier; the session's first write.
+- **Resolve**: post the answer as a comment, `PATCH` to `closed`, then update the map issue's body (GET → edit Decisions-so-far → PATCH) with a context pointer.
+
+## Related
+
+- [[Triage Labels]] — the role strings these operations apply.
+- [[Domain Docs]] — what a skill must read before touching the codebase.
+- [[SSH and Remote Access]] — reaching the host when an issue needs live evidence.

serverAppConfigs-docs/Agent/OMP Harness.md

@@ -1,7 +1,7 @@
 ---
 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.
+description: "The omp harness as configured here: compaction chain arithmetic, per-model sampler routing, and the context-lean audits."
 tags: [omp, harness, compaction, models-yml, context, samplers]
 timestamp: 2026-10-18T00:00:00Z
 ---
@@ -14,19 +14,19 @@ registry; single source of truth — there is no copy on the servers) and
 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-archon`, `frank-dragoon`,
+since 2026-10-09):** `frank-archon` (Dankserver), `frank-dragoon` and
+`frank-zealot` (Dankclaw) — engine, port and card behind each id live on
+[[frank-archon]], [[frank-dragoon]] and [[frank-zealot]] — formerly `frank-archon`, `frank-dragoon`
 `frank-zealot`. 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-archon-radiance-swift15-w4dn8]]
-note on radiance echoing the requested name).
+(see [[OpenWebUI]] for the grant re-key and the [[frank-archon]]
+note on the endpoint echoing the requested name).
 
 Verified 2026-10-18: `/v1/models` on 192.168.0.235:7770, 192.168.0.143:7770 and
-192.168.0.143:7771 each answer with the unit name (`frank-archon`,
+192.168.0.143:7771 each answer with the unit name (`frank-archon`
 `frank-dragoon`, `frank-zealot`).
 
 ## Compaction chain arithmetic (verify before ANY window change)
@@ -40,39 +40,43 @@ breaks compaction.
 Where the contract lives:
 
 - `~/.omp/agent/config.yml` → `compaction.remoteEndpoint` (target URL:
-  `http://192.168.0.143:7771/v1/chat/completions`, `config.yml:76`),
-  `methodOrder` (`shake → snapcompact → soft → handoff → remote`,
+  `http://192.168.0.143:7771/v1/chat/completions`, `config.yml:76`)
+  `methodOrder` (`shake → snapcompact → soft → handoff → remote`
   `config.yml:77-82`), `thresholdPercent` (**95**, `config.yml:84`), idle
   settings (`idleEnabled`, `idleThresholdTokens: 100000`)
-- `~/.omp/agent/models.yml` → per-model `contextWindow`, `maxTokens`,
+- `~/.omp/agent/models.yml` → per-model `contextWindow`, `maxTokens`
   `compactionModel` references
 - Implementation: omp plugin
   `~/.omp/plugins/node_modules/@earendil-works/pi-coding-agent/dist/core/compaction/compaction.js`
 
 The arithmetic (the coupled contract every endpoint's maxTokens comment
-encodes). Recomputed from the live files 2026-10-18 — contextWindows
-200,000 (archon) / 155,648 (dragoon) / 200,704 (zealot) at
-`models.yml:48,131,206`; maxTokens 16,384 / 45,056 / 16,384 at
-`models.yml:56,143,212`:
+encodes). The authoritative `contextWindow`/`maxTokens` pair per model is on the
+endpoint page ([[frank-archon]], [[frank-dragoon]], [[frank-zealot]]); what
+follows is a **worked example** recomputed from the live files on 2026-10-21 —
+a snapshot, not fleet state — with windows 200,000 / 200,000 / 200,704 and
+maxTokens 16,384 / 45,056 / 16,384 (archon / dragoon / zealot):
 
 1. **Source trigger** = `thresholdPercent × source contextWindow`; at the live
-   95 % that is 190,000 (archon), 147,866 (dragoon), 190,669 (zealot). The
+   95 % that is 190,000 (archon and dragoon), 190,669 (zealot). The
    bundle clamps the percentage to 1–99 and converts it to a token threshold.
 2. **Output budget** = capped at the target model's `maxTokens` — every role
    here compacts to frank-zealot, so the budget is its 16,384.
-3. **REQUIREMENT**: prompt (≤ trigger) + budget ≤ the target's per-slot
-   window. **At 95 % this no longer holds**: 190,000 + 16,384 = 206,384 >
-   200,704. The registry's own comments design around an 85 % trigger (archon:
-   170,000 est × 1.03 + 16,384 ≈ 191,500 ≤ 200,704, `models.yml:49-56`), which
-   does hold. While `config.yml` and those comments disagree, treat 85 % as the
-   design point and re-run this arithmetic after ANY window change — a 400 from
-   the compaction target mid-conversation is the symptom.
+3. **REQUIREMENT**: prompt (≤ trigger) + budget ≤ the fitting window. For a
+   dragoon session the fitting window is the ENGINE ceiling, not a slot: the
+   190,000 trigger is 62,144 under the 262,144 ceiling, so even ×1.03 est
+   error plus the 45,056 request budget lands inside — that headroom is the
+   reason the ceiling moved to native on 2026-10-21. For a session compacting
+   INTO frank-zealot the window is its 200,704-token slot, and **at 95 % this
+   does not hold for archon/zealot sources**: 190,000 + 16,384 = 206,384 >
+   200,704. Treat 85 % as the design point until config.yml and the registry
+   comments agree, and re-run this arithmetic after ANY window change — a 400
+   from the compaction target mid-conversation is the symptom.
    (Historic 2026-10-05 pairs, at `thresholdPercent: 70`: 140,492 + 36,864 =
    177,356 ≤ 200,704 archon; 140,490 + 57,344 ≤ 200,700 dragoon; 140,492 +
    32,768 ≤ 200,704 zealot.)
 
 Procedure (recompute from the LIVE files every time — windows rotate with
-every swap; the block above is the 2026-10-18 state):
+every swap; the block above is the 2026-10-21 state):
 
 1. Read the `config.yml` compaction block + `models.yml` entries for source
    and target. Every endpoint's `contextWindow` comment carries its own
@@ -93,9 +97,10 @@ 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.** A fresh instance of the same trap is
-open 2026-10-18: every `maxTokens` comment still says "compaction fires at
-85 % of the window" while `config.yml:84` sets `thresholdPercent: 95`.
+truth; fix comments in the same change.** The 85 %-comments vs 95 %-config
+disagreement is not academic: it is why long dragoon sessions kept drawing
+400s at the old 200,704 ceiling — the trigger fires late AND the est
+under-counts, and a window parked near the ceiling has no room for either.
 `maxTokens` never changes for a reslice — it caps output; `contextWindow` caps
 input. Boot-shape OOM laddering is a different problem
 ([[Llama Cpp Serving Sizing]]).
@@ -103,16 +108,16 @@ input. Boot-shape OOM laddering is a different problem
 ## Per-model sampler config (`compat.extraBody`)
 
 `models.yml` has **no per-model sampler keys**. The global knobs are
-`config.yml`'s `temperature`, `topP`, `topK`, `minP`, `presencePenalty`,
+`config.yml`'s `temperature`, `topP`, `topK`, `minP`, `presencePenalty`
 `repetitionPenalty`, and a knob reaches the wire only when it is set — the
-bundle guards each one with `!== void 0` (e.g. `minP!==void 0)e.min_p=t.minP`),
+bundle guards each one with `!== void 0` (e.g. `minP!==void 0)e.min_p=t.minP`)
 and this workstation's `config.yml` sets **none** of them. The 2026-10-05 note
 that the unset default is `-1`/"not sent" is retired: there is no `-1`
 sentinel, an unset key is simply absent. The per-model hook is
 `compat.extraBody`:
 
 **Why it works:** `applyOpenAIExtraBody` runs **last** in the
-openai-completions builder — after `applyChatCompletionsCompatPolicy` — via
+openai-completions builder — after `applyChatCompletionsCompatPolicy` —
 `Object.assign(params, extraBody)`. So extraBody overrides global settings
 and compat-policy output.
 
@@ -141,28 +146,25 @@ Use **wire names**, not OMP camelCase. Two traps:
 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. Live state 2026-10-18:
-   frank-archon's radiance entry carries `chat_template_kwargs:
-   {enable_thinking, preserve_thinking}` in `extraBody` (`models.yml:89-91`)
-   and nothing else sets that object at that endpoint, so the shallow-merge
-   hazard is latent rather than firing; the FreeToken-era "verify-and-prune at
-   the next swap" note is retired with that swap (2026-10-05,
-   `scripts/serve-frank-archon.sh:9-10`).
+   Top-level `preserve_thinking` is honoured by frank-dragoon
+   ([[frank-dragoon]]). Live state 2026-10-18: frank-archon's `extraBody`
+   carries `chat_template_kwargs: {enable_thinking, preserve_thinking}`
+   (`models.yml:89-91`) and nothing else sets that object at that endpoint, so
+   the shallow-merge hazard is latent rather than firing.
 
-**Gotcha (retired 2026-10-17): silent greedy decode.** Earlier flash-server
+**Gotcha (retired 2026-10-17): silent greedy decode.** Earlier frank-dragoon
 builds carried **no server-side sampler defaults**, so an absent
 `temperature` decoded greedy while the endpoint looked configured. That era is
-over: `HALOGEN_TEMPERATURE/TOP_P/TOP_K` now set the card's thinking recipe
-(1.0 / 0.95 / 20) as engine defaults (`scripts/frank-dragoon.env:98-103`,
-exported at `scripts/serve-frank-dragoon.sh:186-188`), so an absent temperature
-is no longer greedy. frank-dragoon's `extraBody` still carries the same trio —
-consistent, not load-bearing. Treat any older "do not drop it or you get
-greedy" wording as history.
+over — the endpoint now ships its own defaults ([[frank-dragoon]]), so an
+absent temperature is no longer greedy. frank-dragoon's `extraBody` still
+carries the same trio — consistent, not load-bearing. Treat any older "do not
+drop it or you get greedy" wording as history.
 
-**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
+**Reasoning-effort folding.** The set `reasoning_effort` accepts is a property
+of the endpoint, not of the harness: [[frank-dragoon]] and [[frank-zealot]]
+raise on anything outside `xhigh|medium|low`, while [[frank-archon]] does not
+gate the set. Every endpoint's `reasoningEffortMap` folds all harness levels
+onto whichever set that endpoint ships; a role whose
 level is unmapped fails on its FIRST request, and the failure names Jinja,
 not the model.
 
@@ -193,7 +195,7 @@ 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`),
+Cleanup: trash the probe profile and echo server (`profiles/.AGENTTRASH`)
 never `rm`.
 
 ## Static-preamble audit ("the context feels bloated")
@@ -207,7 +209,7 @@ What loads statically every session (measure each, don't guess):
    ```bash
    python3 - <<'EOF'
    import glob, re, os
-   for root in [os.path.expanduser("~/.omp/agent/managed-skills"),
+   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"):
@@ -307,4 +309,4 @@ standalone; fold go/no-go arithmetic skills into their probe skill
 - [[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
+-  measuring the endpoints this config routes

serverAppConfigs-docs/Agent/Triage Labels.md

@@ -0,0 +1,39 @@
+---
+type: reference
+title: Triage Labels
+description: "The five canonical triage roles mapped to this repo's Gitea label strings, plus the numeric-ID quirk."
+tags: [agent, gitea, triage, labels]
+timestamp: 2026-10-20T00:00:00Z
+---
+
+# Triage Labels
+
+The mattpocock-lineage skills speak in terms of five canonical triage roles.
+This page maps those roles to the actual label strings used in this repo's
+tracker ([[Issue Tracker]] owns the API shape).
+
+| Label in mattpocock/skills | Label in our tracker | Meaning                                  |
+| -------------------------- | -------------------- | ---------------------------------------- |
+| `needs-triage`             | `needs-triage`       | Maintainer needs to evaluate this issue  |
+| `needs-info`               | `needs-info`         | Waiting on reporter for more information |
+| `ready-for-agent`          | `ready-for-agent`    | Fully specified, ready for an AFK agent  |
+| `ready-for-human`          | `ready-for-human`    | Requires human implementation            |
+| `wontfix`                  | `wontfix`            | Will not be actioned                     |
+
+When a skill mentions a role (e.g. "apply the AFK-ready triage label"), use the
+corresponding label string from this table. Edit the "Label in our tracker"
+column to match whatever vocabulary you actually use.
+
+## Instance quirks (Dankclaw Gitea)
+
+- Labels are applied by **numeric ID**, never by name: `POST /issues/<n>/labels`
+  with `{"labels":[<id>]}`; resolve names via `GET /labels`.
+- The repo also carries the pre-existing `human-only` label from the manual era
+  (e.g. the podcast-destination issues). `ready-for-human` maps to itself; the
+  `(HUMAN ONLY)` title prefixes on existing issues stay as they are — the label
+  is what the skills read.
+- An issue with **no** triage label is simply untriaged; absence is not a state.
+
+## Related
+
+- [[Issue Tracker]] — the auth-safe curl shape that applies these labels.

serverAppConfigs-docs/Agent/index.md

@@ -1,23 +1,15 @@
----
-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
+- [[OMP Harness]] — The omp harness as configured here: compaction chain arithmetic, per-model sampler routing, and the context-lean audits.
+- [[Agent Docs and Edits]] — Two self-inflicted doc damage classes from parallel agent edits, with the audit checks and recovery order for each.
+- [[Command Center Dotfiles]] — How the dotfiles repo deploys: stow-equivalent packages, full-replica rsync, the pre-overwrite audit, transport gotchas.
+- [[Issue Tracker]] — How agent skills read and write Gitea issues here: credential-safe curl, label IDs, and wayfinding without sub-issues.
+- [[Triage Labels]] — The five canonical triage roles mapped to this repo's Gitea label strings, plus the numeric-ID quirk.
+- [[Domain Docs]] — Consumer rules for GLOSSARY.md and docs/adr/, and where this vault out-ranks them on operational facts.
 
 ## Related
 
-- [[Testing Policy]] — the seams these pages' checks ride
-- [LLM](../LLM/index.md) — the fleet these agents operate
+-  the fleet these agents operate

serverAppConfigs-docs/Architecture/Container Network Namespaces.md

@@ -1,15 +1,14 @@
 ---
 type: reference
 title: Container Network Namespaces
-description: Which local services are addressable from which Podman network namespace on
-  Dankclaw, and why bridge-network containers cannot dial host-netns loopback listeners.
+description: "How Podman builds container networks here: the network inventory, the netns sharing mechanism, and the isolation limits."
 tags:
   - networking
   - podman
   - netavark
   - rootless
   - dankclaw
-timestamp: 2026-09-02
+timestamp: 2026-10-19
 ---
 
 # Container Network Namespaces
@@ -48,7 +47,7 @@ network namespace**:
 
 `Network=` values are read from the live Quadlet sources in
 `/home/dank/.config/containers/systemd/*.container`; runtime network names on the
-host at the same date were `podman`, `dankclaw_default`, `systemd-gitea`,
+host at the same date were `podman`, `dankclaw_default`, `systemd-gitea`
 `systemd-searxng`, `systemd-open-webui`.
 
 Two consequences that are easy to miss:
@@ -84,13 +83,58 @@ podman exec <name> cat /proc/net/route          # default route → gateway IP
 podman exec <name> sh -c 'timeout 2 bash -c "exec 3<>/dev/tcp/10.89.1.1/8080"; echo rc=$?'
 ```
 
-Verified outcomes of that recipe on 2026-09-02: from inside `hermes-dashboard`,
+Verified outcomes of that recipe on 2026-09-02: from inside `hermes-dashboard`
 `10.89.1.1:3000` (Gitea, published), `:8081` (SearXNG via Gluetun's netns,
 published) and `:9119` (its own published port) connect; `:8080` and `:8787`
 are **refused instantly** even though both listeners are bound to `0.0.0.0` in
 the host netns. Probes to `host.containers.internal` (`169.254.1.2`) from that
-network time out rather than refuse — the alias is an address on the *default*
-`podman` network, and this container is not on it.
+network time out rather than refuse — but see the 2026-10-19 re-measure below,
+where the same alias answers from another `dankclaw_default` container.
+
+### 2026-10-19: which published ports a rootless container can actually dial
+
+Probed from inside `open-notebook` (rootless, on `dankclaw_default` **and** the
+private `systemd-open-notebook`), each address aimed at a live listener:
+
+| Dial | Result | Mechanism |
+|---|---|---|
+| `192.168.0.143:3000` (Gitea) | **200** | published by a **rootless** container — rootless egress crosses the host netfilter where netavark installed that DNAT |
+| `192.168.0.143:7770` (`frank-dragoon`) | refused | the container is **rootless on podman's default `pasta` netns** (the root unit's `User=dank` runs `podman run`, so it lands in dank's storage). Pasta forwards the published port in the host netns — the host and the LAN both answer 200 — but installs no netavark DNAT for traffic arriving from a rootless bridge, so the same address is refused from a container. This is NOT a root/rootless rule-set split: `podman ps` as `dank` lists it |
+| `host.containers.internal:7770` (`169.254.1.2`) | **200** | the pasta forwarder is bound `0.0.0.0` on the host, so the gateway alias reaches it — and the alias is link-local, which is the dead end below |
+| `192.168.0.143:7771` (`frank-zealot`) | refused | host-netns listener, unpublished — the rule above, reconfirmed |
+| `10.89.1.1:7771` | refused | the bridge gateway address belongs to the rootlesskit netns, not to the host |
+| `host.containers.internal:7771` (`169.254.1.2`) | **200** | the gateway alias is the one address that carries a rootless container to a host-netns listener. Why `hermes-dashboard` timed out on this alias in 2026-09-02 while `open-notebook` answers today is **not established**; the difference to check first is the second network and where the default route lands |
+| `192.168.0.235:7770` (`frank-archon`) | **200** | a different machine: plain routing, no DNAT in the path |
+
+The consequence that changed designs: **a rootless container's menu of local model
+endpoints was only `frank-tts` (container DNS, same network) and `frank-archon` (LAN
+address on another host).** A `pasta` endpoint has no address an app container can
+use: the LAN address is refused, and the one alias that answers is link-local,
+which some applications refuse to store at all ([[Open Notebook]] meets exactly
+that refusal). Pasta cannot be *added to* either —
+
+```
+podman run --network pasta --network dankclaw_default …
+Error: cannot set multiple networks without bridge network mode, selected mode pasta
+```
+
+so the only shape that makes such an endpoint nameable is **moving it onto
+`dankclaw_default`** (`FRANK_DRAGOON_NETWORK` in `scripts/frank-dragoon.env`,
+2026-10-19). For frank-dragoon that is not an exposure change: the engine's
+unauthenticated token port binds the container's **own loopback**
+(`/proc/net/tcp` on 2026-10-19: `127.0.0.1:8730`, `0.0.0.0:8731`), so only the
+API port becomes name-resolvable, which is the same trust the published 7770
+already carries on the LAN. `frank-zealot` (7771) stays a host-netns binary and
+remains unreachable except through the link-local alias.
+
+The move is verified from the consumer side, so the table above reads as the
+**pre-move** census and not as today's menu: inside `open-notebook`,
+`getent hosts frank-dragoon-halogen` → `10.89.1.39`, `GET :8731/v1/models`
+lists both served models, and the engine's log carries the app's
+`POST /v1/embeddings 200` from that address (2026-10-19) — see
+[[Open Notebook]] for what runs over it. What the table still owns is the
+pasta rule itself: nothing about pasta's forwarding changed, the endpoint was
+moved out of it.
 
 ## Operational rules
 
@@ -99,9 +143,13 @@ network time out rather than refuse — the alias is an address on the *default*
   host — and never the reverse either: the deployer's health probe runs on the
   host, so it sees host-netns listeners that the container itself cannot dial.
 - To give a bridge-net container access to a host-netns listener, the options
-  are (a) move it to `Network=host`, or (b) publish the needed port. Option (b)
-  makes that port reachable from every netns and from the LAN — an exposure
-  change that needs operator approval before deployment, not a silent fix.
+  are (a) move it to `Network=host`, or (b) publish the needed port — but
+  publishing is advertised **only inside the Podman that owns the container**:
+  a root container's published port stays invisible to a rootless consumer
+  (2026-10-19 table above), so the fix must be made on the same root/rootless
+  side as the consumer. Either way it is an exposure change — a published port
+  also answers on the LAN — and needs operator approval before deployment, not
+  a silent fix.
 - `chrome-devtools-protocol` is intentionally `Network=host` with a loopback-only
   bind so the browser tool stays unreachable from the LAN; do not "tidy" it onto
   a bridge network — its two consumers (gateway, webui) are host-netns and reach

serverAppConfigs-docs/Architecture/Deploy State Triage.md

@@ -1,7 +1,7 @@
 ---
 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.
+description: "Reading deploy-state markers against live containers and deciding, safely, whether to redeploy."
 tags: [deployment, deploy-state, systemd, podman, triage]
 timestamp: 2026-10-05T00:00:00-07:00
 ---
@@ -22,8 +22,10 @@ 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-archon (dankserver:7770) is also the
+whose marker lags. On the big-payload endpoints that is a full model reload
+measured in tens of minutes — each endpoint's boot budget is on its own page
+([[frank-archon]], [[frank-dragoon]], [[frank-zealot]]) — and frank-archon
+(dankserver:7770) is also the
 harness's own model backend, so a blind deploy is a self-inflicted outage for
 possibly zero behavioral change.
 
@@ -34,7 +36,7 @@ possibly zero behavioral change.
 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>`;
+   - `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).
@@ -47,8 +49,7 @@ possibly zero behavioral change.
    - 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`.
+    (`grep scripts/launch.sh`).
 
 **Decision:** live argv+env == target config AND `/health` 200 ⇒ behavior is
 live — **do NOT restart**; reconcile the marker (below). Only if the live
@@ -118,8 +119,8 @@ 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);
+  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
@@ -141,11 +142,11 @@ Boot failures must be read from the journal, not `podman logs`: serve scripts
 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
+See  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
+-  journal capture

serverAppConfigs-docs/Architecture/Deployment Flow.md

@@ -1,5 +1,5 @@
 ---
-type: guide
+type: howto
 title: Deployment Flow
 description: Service-scoped Git deployment for the two homelab hosts.
 tags:
@@ -46,7 +46,7 @@ graph LR
 ./scripts/deploy.sh dankserver
 ./scripts/deploy.sh frankbook-pro --service qbittorrent   # podman-machine target
 ./scripts/deploy.sh dankclaw --service searxng
-./scripts/deploy.sh dankserver --service frank-medium
+./scripts/deploy.sh dankserver --service frank-archon
 ./scripts/deploy.sh dankclaw --dry-run
 ```
 
@@ -62,13 +62,13 @@ 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-dragoon` | systemd + `systemctl` (root unit) | Relinks and restarts only the large inference service; waits up to 20 minutes for `/health`. |
-| `frank-zealot` | 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`. |
+| `frank-dragoon` | systemd + `systemctl` (root unit) | Relinks and restarts only the Dankclaw iGPU inference service; waits up to 20 minutes for `/health`. Shape, gates and boot budget: [[frank-dragoon]]. |
+| `frank-zealot` | systemd + `systemctl` (root unit) | Relinks and restarts only the Dankclaw 3090 inference service; waits up to 20 minutes for `/health`. Shape, gates and boot budget: [[frank-zealot]]. |
+| `frank-archon` | systemd + `systemctl` (root unit) | `deploy_llm_archon` plans from repo paths and gates on the port; it does NOT see host-side unit drift (see [[frank-archon]] → Deploy / verify). |
 | 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. |
 
 The shared chat template maps to the inference service on the selected target.
-The `frank-npu` endpoint is retired (2026-09-11) and has no deploy handler;
+The `frank-npu` endpoint is retired () and has no deploy handler
 an unrelated large-model deployment never touches it.
 
 ## Caddy safety
@@ -125,6 +125,5 @@ routing. See [[Testing Policy]].
 ## See Also
 
 - [[Testing Policy]]
-- [LLM deployment](../LLM/deployment.md)
 - [[Caddy]]
 - [[SearXNG]]

serverAppConfigs-docs/Architecture/E2E Suite.md

@@ -1,6 +1,6 @@
 ---
 type: reference
-description: "`tests/e2e/` drives the **live fleet** through a real browser: fresh contexts"
+description: "The Playwright suite that drives the live fleet through a real browser, its project set, and the FrankBook conditional."
 tags:
   - architecture
   - e2e
@@ -49,7 +49,7 @@ user sees it; the `bats` seams assert config shape, not behavior.
   *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/**`,
+  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

serverAppConfigs-docs/Architecture/Network Architecture.md

@@ -15,7 +15,7 @@ One Caddy fronts both hosts. It runs as a container on Dankclaw (192.168.0.143)
 
 As of 2026-08-28 the front door is a two-tier chain: Caddy terminates TLS,
 Anubis verifies the client (DENY known AI scrapers, CHALLENGE everyone
-else), and accepted traffic returns to Caddy's internal listener on `:8016`,
+else), and accepted traffic returns to Caddy's internal listener on `:8016`
 which proxies every request whole to the Authentik server with the Host
 header preserved; Authentik's embedded outpost routes on that Host against
 each proxy provider's `external_host`, serves the login flow in place for
@@ -67,12 +67,12 @@ graph TB
 ```
 
 Guarded (Anubis `:8923` → Caddy `:8016` → Authentik outpost → Caddy `:8017`):
-homepage (`www.`), search, **grafana** (`dankclaw/Caddyfile:128-129`),
+homepage (`www.`), search, **grafana** (`dankclaw/Caddyfile:128-129`)
 prometheus (`:135-137`), loki (`:141-143`), seerr (`:148-150`), marreta
 (`:155-160`), romm (`:167-169`), files (`:172-174`). Exempt / own-auth: `auth.`
 (the IdP login itself), `ai.` (OpenWebUI, its own OIDC), gitea (git smart-HTTP
 clients cannot solve JS challenges — `/info/refs` and `git-*-pack` pass
-unchallenged), pihole (Caddy `basicauth`, `:167`), plex (plain HTTP),
+unchallenged), pihole (Caddy `basicauth`, `:167`), plex (plain HTTP)
 books/jellyfrank (own logins), `hermes.`/`hermesadmin.`, and the *arr vhosts
 that terminate on FrankBook-Pro (`:254-281`, "exempt by construction: own
 auth"). Grafana is **not** exempt even though it signs in through authentik as
@@ -104,13 +104,13 @@ Caddy holds one Let's Encrypt certificate per vhost, issued and renewed through
 `Network=searxng.network` (runtime network `systemd-searxng`), while
 `searxng.container`, `marreta.container` and `marreta-browser.container` join
 the tunnel the modern way — `Network=gluetun.container`
-(`dankclaw/searxng/quadlet/searxng.container:18`,
-`dankclaw/marreta/quadlet/marreta.container:34`,
+(`dankclaw/searxng/quadlet/searxng.container:18`
+`dankclaw/marreta/quadlet/marreta.container:34`
 `dankclaw/marreta/quadlet/marreta-browser.container:25`), the Quadlet
 equivalent of the retired compose `network_mode: service:gluetun`. **Five**
 containers share the VPN exit, not three, and Marreta's outbound fetches leave
 through the same WireGuard tunnel as SearXNG's. Pi-hole is a different kind of
-exception (`Network=slirp4netns`, `dankclaw/pihole/quadlet/pihole.container`);
+exception (`Network=slirp4netns`, `dankclaw/pihole/quadlet/pihole.container`)
 everything else on Dankclaw uses the normal LAN route. This matches KB Pattern
 2 in [[Gluetun]].
 See [[Container Network Namespaces]] for which addresses are reachable from that

serverAppConfigs-docs/Architecture/Quadlet Lifecycle.md

@@ -1,7 +1,7 @@
 ---
 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.
+description: "The Quadlet discipline: ownership audits, compose cutover, drift and crash-loop triage, generator quirks, log retrieval."
 tags: [podman, quadlet, systemd, boot-persistence, compose, drift]
 timestamp: 2026-10-05T00:00:00-07:00
 ---
@@ -36,14 +36,14 @@ done
 ## 2. Cutover: compose service → Quadlet unit
 
 Checklist (precedents to copy:
-`dankclaw/{caddy,gitea,searxng,open-webui,seerr}/quadlet/`,
+`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),
+   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
@@ -56,7 +56,7 @@ Checklist (precedents to copy:
    `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 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
@@ -123,17 +123,26 @@ the restart policy faithfully resurrects it forever.
 
 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())"`;
+<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=`.
+- **Hard-fail keys abort the WHOLE BATCH, not one unit** (podman 5.7.0,
+  live 2026-10-21): one unsupported key — e.g. `HostAddr=` — makes the
+  generator log `unsupported key … in group 'Container'` plus
+  `processing encountered some errors` and generate NOTHING for that
+  manager. The running containers keep going as orphans, so the failure
+  first appears on the next deploy as `Unit <x>.service not found` for a
+  service that is visibly up. Other offenders: any dash-prefixed
+  `[Container]` option (`--shm-size=…`), `Command=` (use `Exec=`).
+  The seam `tests/quadlet_image_pins.bats` fails the build on any
+  generator-rejected key in any host's units.
+  Also: an image whose ENTRYPOINT is the binary takes FLAGS ONLY in
+  `Exec=` — repeating the binary makes it a positional arg
+  (`unexpected /bin/blackbox_exporter`, live 2026-10-21).
 - **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` →
@@ -143,11 +152,21 @@ Quickest unblock: `podman compose up -d --force-recreate <svc>`. Durable fix
   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`,
+- **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.
 
+## 4a. Image pins (fleet law, 2026-10-21)
+
+Every registry image in a quadlet is digest-pinned (`tag@sha256:…`);
+locally built images (`localhost/*`, `franksdank/*`) are exempt — their
+build is the pin. A rolling tag lets a rebuild move under a running
+service with nobody approving it, and it makes a CVE audit ungradeable.
+Gate: `tests/quadlet_image_pins.bats`. Where upstream publishes no version
+tags (copyparty-ac stops at 1.19.15), pin `:latest@sha256:` and name the
+version the config label carries in the comment beside it.
+
 ## 5. Rootless Quadlet log retrieval
 
 Step 0 — establish ownership: `systemctl --user status <name>.service`

serverAppConfigs-docs/Architecture/Stale Signal Audit.md

@@ -1,7 +1,7 @@
 ---
 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.
+description: "The audit battery for surfaces that rot without failing: dead probes, vacuous assertions, gates that never run."
 tags: [testing, observability, audit, signals, gates]
 timestamp: 2026-10-05T00:00:00-07:00
 ---
@@ -34,8 +34,9 @@ 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).
+  is the **blackbox exporter** in probe mode
+  (`/probe?target=…&module=http_2xx`), 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,
@@ -43,8 +44,8 @@ port; a "probe" job scraping `/` (HTML → `unsupported Content-Type`); 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).
+  that can actually be healthy; the `frank-*` scope `LlmEndpointDown` carries
+  is recorded on [[Prometheus]].
 - 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
@@ -115,6 +116,20 @@ 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).
 
+## Three rules that outlive the incident that taught them
+
+* **A target can read down beside a healthy service.** Read `lastError` from
+  `/api/v1/targets` before believing an outage — llama.cpp refuses `/metrics` at the
+  protocol layer without `--metrics` (501) while `/health` answers 200 for weeks.
+* **Alert state lives where the tool says it does.** Prometheus keeps rule state in
+  process memory — a restart re-stamps `activeAt`, so a "fresh" alert after a reboot is
+  not evidence of a fresh fault. Alertmanager **does** persist (`--storage.path` on a
+  host volume: silences + notification log, [[Alertmanager]]).
+* **Never quote a candidate arm's flags or VRAM as fleet state.** A stopped production
+  unit (`failed` after `stop-sigterm timed out. Killing` — the known shutdown shape,
+  [[frank-zealot]]) beside an answering port means the metric measured a scratch boot;
+  the process shape can change between two censuses ten minutes apart.
+
 ## Order and verification
 
 1. Enumerate the surfaces (status board, metrics targets, alert rules, test

serverAppConfigs-docs/Architecture/Testing Policy.md

@@ -54,4 +54,3 @@ Tests are written first. A failing test means the seam is not satisfied; the con
 ## See Also
 
 - [[Deployment Flow]]
-- [[index]]

serverAppConfigs-docs/Dankclaw/ComfyUI Qwen-Image Workflows.md

@@ -1,6 +1,6 @@
 ---
 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."
+description: "Proven Qwen-Image text-to-image workflows on Dankclaw: the recipes, the API call shape, and which models to add next."
 tags:
   - dankclaw
   - comfyui
@@ -56,8 +56,8 @@ sampling), `sampler_name: euler`, `scheduler: simple`, `denoise: 1.0`, seed
 fixed in the file (`1930` in the art workflow, `2026` in the text one) —
 read from `dankclaw/comfyui/workflows/*.json` node `9`.
 
-Node `class_type`s in both files: `CLIPTextEncode` ×2, `UNETLoader`,
-`CLIPLoader`, `VAELoader`, `EmptySD3LatentImage`, `KSampler`, `VAEDecode`,
+Node `class_type`s in both files: `CLIPTextEncode` ×2, `UNETLoader`
+`CLIPLoader`, `VAELoader`, `EmptySD3LatentImage`, `KSampler`, `VAEDecode`
 `SaveImage` (ids 3–11).
 
 | Workflow | File | Shape | Steps | Made for |
@@ -110,12 +110,12 @@ only `models`, `input`, `output`, `custom_nodes` and the healthcheck file
 
 ## Recommended additions
 
-Quantized preferred, sized for the 8060S iGPU (GTT-backed — `/system_stats`
-reports 122.4 GB of device VRAM on `cuda:0`, `curl http://127.0.0.1:8188/system_stats`
-2026-10-18; the RTX 3090 is frank-zealot's). All repos verified 2026-10-05 and
-all four still resolve today (`huggingface.co/lightx2v/Qwen-Image-Lightning`,
-`huggingface.co/unsloth/Qwen-Image-Edit-2511-GGUF`,
-`huggingface.co/Comfy-Org/Qwen-Image-DiffSynth-ControlNets`,
+Quantized preferred. The iGPU's GTT aperture is not free RAM beside
+frank-dragoon — size every pick against *What actually fits beside
+frank-dragoon* below (the RTX 3090 is frank-zealot's). All repos verified 2026-10-05 and
+all four still resolve today (`huggingface.co/lightx2v/Qwen-Image-Lightning`
+`huggingface.co/unsloth/Qwen-Image-Edit-2511-GGUF`
+`huggingface.co/Comfy-Org/Qwen-Image-DiffSynth-ControlNets`
 `huggingface.co/QuantStack/Wan2.2-TI2V-5B-GGUF`, 2026-10-18). None are on disk
 yet: `models/` holds no lora/, controlnet/ or Wan/Edit file (`ls -R` 2026-10-18).
 
@@ -126,15 +126,41 @@ yet: `models/` holds no lora/, controlnet/ or Wan/Edit file (`ls -R` 2026-10-18)
 | 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 (`GET http://127.0.0.1:8188/object_info/QwenImageDiffsynthControlnet` → 200, 2026-10-18) |
 | 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` is in this build's `CLIPLoader` type enum — `GET http://127.0.0.1:8188/object_info/CLIPLoader` 2026-10-18) |
 
-Placement: #1 → `models/lora/` (create it), #2 → `models/diffusion_models/`,
+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).
+the 2.1 files already on disk), and any BF16 of #2/#4 — they double the disk
+bill, and see *What actually fits beside frank-dragoon* for why raw GTT size
+is not the real budget.
+
+## What actually fits beside frank-dragoon
+
+The 122 GB `/system_stats` figure is the GTT **aperture**, not free memory: on
+an APU the aperture and `MemAvailable` are the same physical RAM, and
+frank-dragoon pins tens of GiB of it. Measured 2026-10-21 with frank-dragoon
+live: `MemAvailable` 15.3 GiB, iGPU busy 1.75 GiB — ComfyUI itself idles at
+~10 MB, so the budget for a generation run is roughly what `free` says.
+
+Weights must land inside that budget with slack for compute buffers and
+activations (the mmproj-class lesson: price a model at ~1.5× its file set):
+
+| Pipeline (weights) | Fits beside frank-dragoon? |
+|---|---|
+| Qwen-Image 2.1 int8_convrot + w4a8 + bf16 VAE (~14.2 GB) — the two proven workflows | **No** — thrash-or-fail; do not queue it while the endpoint serves |
+| GGUF Q8_0 + w4a8 + small VAE (~13.3 GB) | No, same reason |
+| Any BF16 combination | No |
+| SDXL-Turbo / SD 1.5-class (~2–7 GB) | Yes, with real headroom |
+
+**The law: one process owns the memory — same rule as the 3090 bench law.**
+For a Qwen-Image render: stop and mask frank-dragoon
+(`sudo systemctl stop frank-dragoon` + `mask` — the mask stops
+`Restart=always` from firing mid-render), generate, unmask, verify
+`curl 192.168.0.143:7770/health`. The proven workflows above then run with
+the whole machine. Do not treat `/system_stats`'s 122 GB as an invitation.
 
 ## See Also