The 2026-09-28 expansion grew the one-page design to nine pages by
bolting a nav band under each hero. This makes the cluster one site:
- One site header on every page: the wordmark (home link) and a single
row of short, consistent labels (Applications, Systems, Hosting, AI,
Engagement, Track record, Contact). The nav no longer wraps into two
rows at desktop width or four on a phone.
- A real <h1> on every page (the title was a <p>), a skip link, and one
footer outside <main> on every page, home included.
- The contact page was unreadable: its section borrowed the home page's
dark contact-card id, so its copy was grey on near-black (2.3:1) and
its headings measured 1.0:1. It is an ordinary section now.
- Section numbers only where there is a sequence (home, engagement).
- The spec bar names all four services; it stacks cleanly on a phone.
- Contrast: --text-tertiary 4.3:1 -> 4.96:1, --accent-text 4.36:1 ->
4.74:1 on paper. Track-record labels drop tracked capitals.
- The grid behind the hero and the contact card is its own layer; the
contact card loses its left side-tab stripe.
- The stylesheet link is versioned (style.css?v=2026-09-28): CSS is
cached for an hour, and the new markup must not meet the old styles.
- README: nine pages, the shared structure, the CSS-version rule, and the
operator's anti-slop waivers (the hero's volt rule, Space Grotesk).
Copy is unchanged apart from nav labels (the brief's legal constraints
hold). Still zero JavaScript and zero external requests. Impeccable
detector (controls 7/0, static + rendered at 1280 and 390, light and
dark): 200 unwaived -> 54, all of them the two waived brand devices;
two identical runs. Operator: "ship the site cleanup, keep the rule and
the font".
Blender is now a mandatory stage in draupnir's pipeline (Prime, 2026-09-28), and draupnir asked
for eight add-ons from extensions.blender.org: SurfacePsycho 0.10.4, CAD Sketcher 0.32.1,
3D-Print Toolbox 1.4.1, STEP Importer 1.2.1, Bool Tool 2.1.0, LoopTools 4.7.7, MeasureIt 1.8.4,
3MF Import/Export 2.7.7.
- stacks/blender/extensions.lock pins each by version and archive sha256.
- scripts/blender-extensions sync builds fv-ml1:/tank/blender-extensions/5.2/system with Blender's
own install-file, pre-warms and byte-compiles it, checks a read-only enable, then swaps it in.
It refuses while the GUI or a blender-run job holds the old directory.
- conf/scripts/startup/fleet_extensions.py enables every package in the System repo: in a timer
in the GUI (after the prefs load), and as --python ahead of the caller's args in
blender-run --extensions (a failed enable exits 1 before the caller's script).
- It also patches SurfacePsycho's sp_overwrite_segment_selection from eval() to literal_eval():
the eval walked past MCP safe mode (control: unpatched ran code, patched refuses).
- blender-run: --extensions (bind mounts via --mount so a missing source fails instead of being
created); USER/LOGNAME set, which CAD Sketcher's getpass needs.
- compose.yaml mounts the repo read-only and the hook into the GUI container. NOT yet deployed.
- scripts/blender-probes/extensions_acceptance.py: one operator run per add-on, safe-mode
compliant. Headless 8/9 online and with --network none; CAD Sketcher sketching is GUI-only.
A Python audit hook saw no network/process events (positive control fired).
Single page grows to nine: custom app development, systems engineering,
hosting, and AI services each get a detail page, plus engagement,
track-record, contact, and privacy. Cross-linked nav and footer on every
page; brand CSS extended in place (still zero external requests, zero JS).
Motivation: an app-store registration review flagged the single-page site
as minimal content. This version is intended to be reverted after approval.
draupnir review: the remote job dir was keyed on the basename alone, so two
local dirs with the same name shared one remote dir, and a rerun inherited
stale files. The dir is now <basename>-<8 hex of sha256(abs path)>, and it is
mirrored with rsync --delete, confined to that one directory. There is no rm on
a computed path. Verified: a file deleted locally is gone from the rerun's
remote dir. The /defaults stderr line is documented as harmless noise.
scripts/blender-run launches each call as a docker run --rm of the Blender
image on fv-ml1 GPU 3, capped at 64g / 48 CPUs. It needs no desktop and does
not affect the GUI container's lifecycle. --job DIR stages a local directory
to /tank/blender/jobs/<name>/, runs Blender with that as the cwd, and copies
results back. It always passes --python-exit-code 1, because Blender otherwise
exits 0 when a --python script raises (measured).
Tested headless: Cycles GPU and CPU, EEVEE via EGL, Workbench, an STL
round-trip, and exit codes (3, 7 and 1 pass through). There is no STEP
importer. Written for draupnir's design work, and indexed in FLEETTOOLS with a
detail file.
The MCP server (mcp-for-blender 2.1.1, frozen requirements) runs inside the Blender
container. Its add-on is vendored at upstream 41a18432 (MIT) and started by a
startup hook. scripts/blender-mcp carries the stdio over ssh + docker exec, so the
add-on socket, which runs arbitrary Python with no auth, stays on the container's
localhost with no published port. It also runs there because viewport screenshots
need a filesystem shared by server and Blender. Telemetry is off and safe mode is
on. The hook also defaults Cycles to OptiX on GPU 3, because safe mode forbids
agents from touching preferences.
Verified end to end from nh3-dev: 36 tools; a GPU render of an agent-built scene;
a viewport screenshot; and safe mode refusing 'import os'. Blender left down
(on demand).
Uses linuxserver/blender (Selkies Wayland desktop, NVENC), digest-pinned. The
container sees only GPU 3, has restart "no", and runs only while in use,
because GPU 3 is the reserve card for a full-size vLLM seat. Web desktop on
:3001 with basic auth (vault fv-ml1/blender-web-password). /work is on /tank
and is not backed up; /config lives under /opt/docker (restic).
Acceptance: Cycles finds the card on OptiX and CUDA (sm_120 kernels ship in the
build). The heavy self-test renders in 3.54 s on OptiX vs 22.71 s on CPU, a
functional check with n=1. Web auth answers 401 without credentials and with a
wrong password, and 200 with the right one.
The shim holds 10.0.50.47/24, which gives two equal connected 10.0.50.0/24 routes,
and ens18's wins. Host-to-HA traffic therefore left via the macvlan parent and was
dropped. HA lost MQTT to the broker on this host on 2026-08-19, 2026-09-21 and
2026-09-25 (the last lasted two days). This adds an ifupdown if-up.d hook that
routes 10.0.50.46/32 via macvlan-shim; /etc/network/interfaces is not edited.
Verified: the route resolves via the shim, the host pings HA, HA reaches :1883,
and HA reconnected to the broker. Diagnosis by ha-dev.
Also corrects the zigbee2mqtt acceptance note, which had wrongly reported HA as
connected.
Requested by ha-dev; approved by Prime in this session. Radio: SLZB-MR1U chip 0
(EFR32MG21, EmberZNet 8.0.2) at tcp://10.0.90.10:6638, adapter ember. A fresh
network was formed on channel 25, PAN 0xCFF4. The broker is reached as mosquitto
user zigbee2mqtt, with HA discovery on homeassistant/. The frontend on :8099 is
token-protected.
State and the network key stay host-only in /opt/docker/data/zigbee2mqtt
(root 0700, restic). The repo carries only compose, .env.example and the README.
configuration.yaml refers to the secrets as !secret.yaml, and those references
survived Z2M's v4->v5 settings migration.
SemIf's shared scorer trims one token at the state boundary. When an object
state's last value ends in ')', ';' or '}', the JSON that follows re-merges two
tokens back, so score_shared refused the request with 422. The engine now wraps
semif_phase1.shared._state_prefix to keep only the tokens the full prompts
share. Each row scores the same token sequence; only the prefill/suffix split
moves.
Startup proves the fix is in effect, not just installed (heid bug hunt SKAL,
folded). It checks that the hook is callable and is what score_shared resolves,
that an ordinary state keeps upstream's whole prefix, and that a merge-prone
state scores through the shared path.
Real tokenizer: 154 states, 23 refused before and 0 after, with no ordinary or
authored144 prefix changed. Acceptance: 144/144 parity. Shared vs direct 71/72;
the miss is a bf16 tie that flipped across a plain restart (see README).
Against talk /face's guided pose (first paragraph 246 ms median), SemIf in
parallel adds 32 ms and SemIf-first adds 94 ms (n=72 each, noise floor 16.5 ms).
Removing the pose header saves only ~31 ms, and SemIf shares GPU 1 with the LLM.
Acceptable pose 67% vs 92% on clear-emotion lines, and the mood carried through
mundane follow-ups 7/15 vs 14/15. SemIf gestures far less (13% vs 58%).
README: rotations cost options^2 in suffix tokens, and /decide/shared returns
422 when an object state's last value ends in ) ; or }.
The comment claimed 'gateway-key-gated'; v1.97.0 actually gates auth=true
passthrough routes on per-key metadata allowed_passthrough_routes (OSS path,
not Enterprise), 401 unauthenticated. Grants applied live via /key/update for
all-agents-local and the worldtree gateway key; comment-only change here,
picks up with the next conf deploy.
Harness consumer_fit.py runs a consumer's per-turn decisions over hand-labelled
cases, with rotations, a content-free null control and tagged positive controls.
Cicada: an input-only 'does this earn a visible reaction?' gate scored 30/31
with descriptive options and 19/31 with terse yes/no options. Scoped by
Cicada's 2026-09-20 ruling (affect is emitted once, no mood-ring classifier).
Wyrd: on 3 real seed graphs, the first place-change wording failed its
positive controls (1/6 moves). A location-anchored rewording scored 21/21, and
exit selection scored 18/21. Semif fits the choice, not writing the node.
Order averaging (Prime, after the 739aa03 spike):
- A decision may set orderings: rotations|all (all only for <= 4 options). Every
ordering goes to the engine in one shared batch.
- The reply keeps each native result and adds combined {probabilities (log-mean),
top, agreement, spread}.
- Through the service on SemIf's labelled sets (252 rows): 78.6% -> 88.1%
(group-bootstrap 95% CI +5.1..+14.3). Unanimous agreement is 94.5% accurate.
Fast kernels: flash-linear-attention 0.5.2 and causal-conv1d 1.7.0 are now the
default build. A/B on the empty GPU 3:
- parity with upstream went from 142/144 to 144/144;
- a ~2k-token /decide went from 169 to 92 ms server-side;
- short 3-rotation batches cost ~3-6 ms more.
triton builds a C shim at runtime, so the image carries gcc. Without it the
warm-up failed and startup failed closed.
Heid bug-hunt panel (4/4 arms, thread 01M3H3F4RR7XBP90KQ3A39H4SX), folded:
- Startup validation: VRAM cap 0 no longer means uncapped (C1); limits must be
>= 1 (S1); the token must be visible ASCII (S2); the calibration file must
exist and parse, with T in [0.05, 20] (S8, and C3's NaN leg).
- The body limit is checked before a chunk is kept, and a Unicode-digit
Content-Length no longer crashes (C2, S3).
- Failures while building the response now get the 500 envelope (C3).
- 429 busy past SEMIF_MAX_QUEUE requests in progress (C6).
- The engine releases memory on every non-validation failure, unchained after
gc; an empty OOM message is handled; 'out of memory' RuntimeErrors map to 503
(C4, C5, S9).
- The entry point forces HF_HUB_OFFLINE (S10). README wording fixed (S5, S6).
- New guard tests close the gaps the arms' mutation grids exposed: early stop of
the body read, a shared-route lock, calibration pass-through, the gc cycle,
the exact caps, TorchEngine.load's arch and device checks, and the offline
entry point.
86 tests.
Deployed on fv-ml1 GPU 1: parity 144/144, OOM and burst release verified, shared
capacity 63/51/26/16 rows at ~140/520/1960/3900 prefix tokens.
Latency, measured from nh3-dev (3 runs x 20 per condition; network floor 31 ms):
- /decide short: 71 ms end to end, 38 ms server-side;
- /decide with a ~2,000-token state: 210 / 169 ms;
- shared, 3 rotations: 113 / 79 ms;
- shared, 6 orderings: 137 / 99 ms.
Qwen3.5's fast kernels (causal_conv1d, flash-linear-attention) are not installed,
so transformers falls back to its reference PyTorch paths. That is a speed lever,
and using it needs a parity re-check.
Averaging over option orderings, on SemIf authored144 + perturbations108 (252 rows,
72 groups):
- a single ordering scores 78.6%;
- log-mean over the 3 rotations scores 87.7% (+9.1 pts, group-bootstrap 95% CI +4.7
to +13.8);
- all 6 permutations score 88.1%.
Rotations capture nearly all of the gain. Rows where the rotations agree unanimously
(161) are 94.4% accurate; split rows (91) are 75.8%.
services/semif-serve is a FastAPI wrapper around SemIf's direct and shared torch
scorers (SemIf-OpenJev @ 23cf1f39, MIT). Upstream ships only a batch CLI. The
wrapper loads the pinned Qwen3.5-4B (851bf6e8, BF16) once from the offline HF
cache and returns SemIf's result dicts unchanged, with an optional per-workload
temperature-calibrated view. Contract: semif-serve.contract.md. Built with a
short contract, TDD (39 tests, fake engine and fake torch, no GPU) and a heid
bug-hunt panel (pending).
On the card:
- torch 2.10.0+cu128 with sm_120 kernels, which is SemIf's own stack;
- a hard 12 GiB VRAM cap.
Two defects surfaced only on the card, and each fix is covered by a test:
- 0.1.1: an OOM raised as a chained exception kept the failed request's tensors
alive (11.9 GiB after the 503). It is now raised unchained, after gc.
- 0.1.2: a large request left 12.6 GB reserved on the shared card. After each
call, reserved memory over the baseline + 512 MiB is now released.
Acceptance against SemIf's committed torch predictions (authored144):
- 142/144 same top choice; both misses are exact bf16 ties;
- 144/144 identical prompt hashes;
- deterministic A-vs-A;
- negative control 14/144;
- shared vs direct 72/72.
21 binary criteria over one state take 159 ms. The shared-mode capacity table
under the cap is in stacks/semif/README.md.
The Dockerfile installs dependencies from a manifest with the project version
blanked, so a version bump reuses the ~4 GB torch layer. Verified: 41 s rebuild,
dependency layer CACHED.
DNS: semif.fv.internal. Token: vault semif/api-token.
Prime bootstrapped infra-ops on vm-esh-nas with playbooks/bootstrap-infra-ops-user.yaml.
It got the fleet-pinned uid/gid 850, NOPASSWD sudo with log_output, the docker
group and a 0700 home. That let playbooks/restic-repository-file.yaml migrate
the last restic host: the live profile matched the repo's pre-change sha,
its units no longer carry the URL, its secrets are vaulted, and the live and repo
profiles now match (a5ea75ea). All eight restic hosts are clean.
The staged helper script is gone, both from Prime's home on the host and from the
repo. The docs that described vm-esh-nas as lkraven-only are updated.
docs/pfi/fleet-conventions.md § 3 pins infra-ops to 850, but the bootstrap
playbook let the OS allocate, so every host drifted (1001-2001). New
accounts now get 850 when uid and gid 850 are both free, and fall back to
OS allocation (with a note) when either is taken. The home is set to 0700
per § 1.2. Existing accounts are untouched (the step is gated on id).
Scope note: vm-esh-nas is added to the operator-granted ESH exceptions
(Prime, 2026-09-27).
resticprofile schedule copies env-file values into the generated units, which
are 0644, so RESTIC_REPOSITORY (the rest-server basic-auth password included)
was readable by every local user on every restic host.
New playbooks/restic-repository-file.yaml:
- derives /etc/restic/repository (root 0400) from restic.env;
- uploads the profile switched to repository-file, but only when the live
profile's sha matches the repo copy it was edited from (drift guard);
- checks the repository is reachable through the new profile (cat config);
- regenerates the units and verifies they exist and contain no rest:http.
Applied to ana-docker, fv-ml1 (configs/restic/ana-ml2), esh-docker-vm,
esh-vm-db, irv-ml1, nh3-dev and nh3-docker. An independent check across all
eight restic hosts (these seven plus esh-ml1) found 0 leaking units. nh3-docker's
scheduled unit ran a real backup afterwards (snapshot a29b889d). Each host's
URL and passphrase are vaulted as <host>/etc/restic/{repository,password}.
restic.env is kept (root 0600) because the per-host READMEs and the freshness
probe source it. A rotation must update the vault, restic.env and repository.
vm-esh-nas has no infra-ops account. Its in-place migration script is staged
for Prime to run with sudo, and its repo profile is pre-edited to match.
Also mirrors augaman-dev's 401df2d (compose header only). The config hash on
esh-ml1 is unchanged.
Both hosts had live improvements the repo never recorded:
- esh-docker-vm excludes ESPHome's 539 MB of PlatformIO cache (2026-09-14).
- irv-ml1 runs /etc/restic/arbo-checkpoint.sh before the backup, a non-fatal
SQLite online-backup of arbo's gallery DB. That script is added here too.
The live copies were correct and are the source for the next change. (Also fixes
the fv-ml1 augaman removal time to ~0130 PT.)
Prime removed the second instance after the v0.1.3 bench. esh-ml1 handles a face
in ~48 ms, sits in the house next to the cameras, and holds the verified
backup. fv-ml1's gallery was empty (0 identities). The container, gallery volume,
image, compose dir (with its .env), backup dir and build sources are removed from
fv-ml1. GPU_ID / CARD_SUFFIX stay in the compose for any future second host.
Both hosts are rebuilt from tag v0.1.3 (one ONNX session per detector canvas) and
redeployed. pytest -m gpu tests/vision passes 3/3 on each card.
Server-side for one face, same harness as the v0.1.2 baseline:
- esh-ml1 GPU 144 -> 48 ms
- fv-ml1 GPU 75 -> 27 ms
End to end from nh3-dev: 101.6 and 73.8 ms.
CPU mode got slower on every CPU target: fv-ml1 cpuset 0-5 went 152 -> 205 ms
with a face, and the no-face frame roughly doubled. That is well outside the
run-to-run spread. The suspected cause (not measured) is per-session ORT
thread pools spinning. Reported to augaman-dev. Neither deployment uses CPU
mode.
On esh-ml1 the dependency layer missed the build cache and the rootfs touched
90% until the v0.1.2 image was removed. fv-ml1's build hit the cache, and the
exported requirements are identical, so the stack README now says to check
disk before building on esh-ml1.
Prime asked for augaman on fv-ml1's utility card, beside vllm-coder. Mirror
augaman-dev's f77164f compose, which parameterises the GPU reservation (GPU_ID,
default 0) and the Homepage card name (CARD_SUFFIX). esh-ml1's resolved config is
unchanged: same config hash, no recreate.
On fv-ml1: augaman:0.1.2 built on-box from the tag, GPU_ID=1, healthy on CUDA
at 1264 MiB, and pytest -m gpu tests/vision passes 3/3 on the Blackwell. It has
its own gallery and no gallery backup, so it is fixtures-only. The host's raw
restic copy of /var/lib/docker/volumes is not a consistent SQLite backup.
docs/pfi/augaman-speed-bench/ holds the harness (augaman-dev's recipe plus a
no-face control frame and a face-count check on every response), the raw rows
and the summary. Server-side, one face:
- esh-ml1 GPU 144 ms
- fv-ml1 GPU 75 ms
- fv-ml1 CPU on 6 cores 152 ms
- esh-ml1 CPU 888 ms
It agrees with augaman-dev's independent esh-ml1 measurement once each
harness's floor is subtracted. This is the before for v0.1.3's detector fix.
esh-ml1 is outside vzdump, so augaman's face gallery reaches backup only
through restic. New playbooks/esh-ml1-restic.yaml installs restic 0.14.0 (the
same Debian package as the other ESH hosts) and resticprofile 0.33.1 (pinned,
sha256-checked). It uploads configs/restic/esh-ml1/ and schedules a daily
0100 PT backup plus a Sunday 0500 PT check to rest-server-ana. The CT runs UTC,
so both schedules name the zone explicitly.
pre-backup.sh is fail-closed: it runs augaman's own backup CLI, and any failure,
including a stopped container, aborts the run. Tested with a stub docker that
exits 1: the run returned 1, and neither the snapshot count nor last-success
moved. The restore was verified at identity level against augaman-dev's
public-domain canary (snapshot fd3061a1: the restored copy's digest over
identities and samples matches the live gallery). That meets the operator gate
for real enrollments.
The repository URL is read through repository-file rather than restic.env.
resticprofile schedule copies env-file values into world-readable systemd
units, which publishes the rest-server password on the env-file hosts
(observed on esh-docker-vm). This is recorded in the backups runbook under
Known gaps, and the playbook verifies no generated unit contains the URL.
esh-ml1 is added to the freshness check's expected ana-side repos and to the
runbook tables.
augaman moves to v0.1.2 (dependency layer keyed on the lock without the
project; per-crop embedding). pytest -m gpu tests/vision passes 3/3 on the
card, and the canary survived the container recreate.
Mirror pfi/augaman deploy/compose.yaml as stacks/augaman, with an .env.example and
a README carrying the biometric backup gate. The image is built on esh-ml1 from a
git archive of the release tag, because the box holds no gitea credentials.
Serving on CUDA and visible in nvidia-smi. The gallery backup is not wired yet
(esh-ml1 has no restic), so only public-domain fixtures may be enrolled.
The on-box gpu test fails its batch-vs-single tolerance 3/3; reported to
augaman-dev, who owns the contract.
For ha-dev (operator-approved 2026-09-26). CT 111 on esh-pve at 10.0.90.20:
Matter/Thread IPv6 (Echo ULA + RA route-information) is link-only, so the
server sits on esh-iot and HA reaches it over routed IPv4 ws :5580.
- playbooks/esh-matter-lxc.yaml: kernel RA (accept_ra=1,
rt_info_max_plen=64), forwarding off, Docker ip-forward/iptables off;
nftables admits 5580 from HA 10.0.50.46 only and SSH from mgmt ranges;
the CT is added to esh-pve's vzdump job (fabric credentials).
- stacks/matter-server: ghcr.io/matter-js/matterjs-server:1.4.0 (digest),
host networking, /data on the CT.
- Acceptance: fdad:: SLAAC, ping6 thermostat, 2 Thread RIO routes learned, ws
server_info from inside the HA container; 5580 refused from 10.0.50.45,
nh3-dev and a temporary VLAN 90 netns vantage.
vh