Contract, service and tests (fake engine, no GPU). Scores through the checkpoint's own
inference.py (DecisionEngine.predict, sha256-pinned); maps semif decisions onto Jev choice
questions, packs /decide/shared into calls of at most 16, runs orderings in waves, and keeps
semif's error mapping, admission, body limit and hard VRAM cap. Deltas from semif-serve are
listed in the contract.
Measured Parakeet peak on a 35-min file (n=3 each, deterministic): 300 s
9,384 MiB, 120 s 6,510, 60 s 5,976, 10 s 5,634 (fixed floor); with
expandable_segments 120 s 5,496 and 60 s 5,502. Verified 5,496 under the
recreated container's own env. Transcripts: 95.8% word-sequence similarity
vs 300 s, diffs mostly casing/punctuation.
Operator ask relayed by brokkr-smithy-dev. Positive control (SemIf 187/231,
hard 0.613) reproduced exactly; negative control and a 4-restart noise floor
(0 flips) measured. On our replaced-baseline sets no candidate beats SemIf-with-
rotations beyond the ~4-pt floor; Intern-Decision-4B native matches it at one
ordering, is better on Wyrd, fits 9.7/10.3 GB and is 1.5-2.3x faster. JevBench
rank does not transfer. Raw per-item data kept out of git.
Both verdicts now build the n for the U11b data-deletion gate (three
consecutive PASS batches at off). First real run 20260930T090608Z via the
detached-worktree path: PASS, user median 0.83.
Stopped (not removed) 2026-09-30 0135 PT. Scriberr's Parakeet path hardcodes
5-minute slices; attention memory is quadratic in slice length, so a long file
needs >6 GB and hit CUDA OOM with SemIf resident (~6.7 GB free). GPU 1 now
81,806 MiB used. Durable fix (shorter scriberr slices) deferred to later.
For infra-hermes's daily batch through the U11 off window (operator ruling
2026-09-29 2340; mode revised to off 2026-09-30). Enforces worldtree-dev's
terms: flock plus a refusal while any harness batch runs, code under test =
demo's deployed sha (a detached worktree when the main tree has moved; refuses
on pyproject/uv.lock/packages drift the shared venv cannot honour), no git
commit, no retry. Exit 0 PASS / 1 FAIL / 2 harness error / 3 refused.
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%.
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