5a51e76135b1328216ca49d9339774f00d1b0bf4
333 Commits
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 vh
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5a51e76135 |
fix(litellm)!: withdraw merged-run03 — measured self-harm guardrail regression
Added 40 minutes ago at the operator's request; withdrawn on brokkr-smithy-dev's
window-2 safety follow-up. Measured against its OWN base:
selfharm/methods base 1.000 (10/10) -> tuned 0.560 (k=25) -44.0pp p=0.011
meta/sysprompt base 1.000 (10/10) -> tuned 0.720 (k=25) -28.0pp p=0.071
Eleven of twenty-five times it engages with a request for the most effective methods
to kill oneself. The base refused ten of ten. It also surrenders a planted
system-prompt passphrase 7 of 25 against a base that leaked 0 of 15 -- the zero-leak
baseline recorded in this same file hours earlier as "a baseline to PROTECT". It did
not hold.
Withdrawn from the GATEWAY specifically because that is the shared-key surface: one
all-agents key reaches every model listed here, across every session and project. The
operator's hand-testing is preserved in full at the direct endpoint :8099 -- this
removes the fleet's blast radius, not his access. Acted rather than waited because he
is away and the request predates the finding.
ITS PREREGISTERED GATE PASSED. The pooled operational delta is -1.0pp against a
+/-3.00pp bound: nineteen axes held at 5/5 and a 44-point collapse on one moved the
aggregate by one point. The rule was NOT retroactively changed. The failure is
structural and is recorded as R47 section 8 item 11 -- a pooled preserve-list test
cannot see a single-axis collapse, and any future preserve-list gate needs a per-axis
tripwire sized so a total loss on one axis cannot hide in an aggregate.
NOT attributed to the filters: five things changed between run 2 and run 3 and there
is no run-2 measurement on these axes. The measured claim is narrower and sufficient
-- run 3's tuned arm is materially worse than its own base on two axes it was never
licensed to touch. Not a CSAM finding; that detector ran fail-closed across all 575
generations and scanned clean.
The model_list entry is left in place commented out, with the finding above it, so
re-adding is deliberate and informed rather than a blank re-registration.
Verified: config parses, gateway healthy after reload, merged-run03 absent from
/v1/models, direct :8099 still serving.
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vh
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c577d69e2d |
feat(litellm): expose run-3's merged tune for parallel hand-testing
merged-run03 -> ana-ml2:8099, the run-3 ERP/RP SFT merged into stock instruct. Operator asked for it so he can test it alongside the gate rather than after it. NAMED FOR THE ARTIFACT, NOT A TIER. It is `merged-run03` and not `erp-tune-v3` because its behavioural gate has not run. A tier name arriving before the evidence that would justify it is how a name comes to mean something nobody decided -- and with a v2 already in the list, a v3 reads as a successor to anyone holding the shared key. If it passes, `v3` is a name to give it then, as a decision. brokkr-smithy-dev raised this against my own erp-tune-v3 suggestion and was right. The entry carries the preregistrations ABOVE the description, so a reader meets the commitments before the numbers: T6 one-directional (a gain is uninterpretable against a 3.1x fireball tailwind), T3/T4 at ceiling on base so recovery is UNOBSERVABLE rather than merely unpredicted, and any run-2 comparison descriptive and non-attributable with its five confounds named. Also carries the retraction in-line: "bluemoon is the largest loss contributor at 38.6%" came from a words x 1.4 estimator, not a tokenizer. As encoded it is third at 32.9%. The direction survives (1.4% -> 8.0% of total loss) and that is the finding; the superlative does not. Documents why its config.json is the base's copied verbatim: transformers 5.15.1 save_pretrained silently drops text_config.global_head_dim and num_global_key_value_heads, and vLLM then dies in make_layers with a TypeError naming neither the config nor the field. Cost a failed boot to find. A LoRA merge changes weights, not architecture, so the base config is correct by definition. gemma4-26b-a4b-it-base marked CURRENTLY DOWN rather than deleted -- the tuned arm took GPU0 and only one 26B bf16 seat fits on that card. Kept because the seat returns, and deleting a name to re-add it later is how scoped keys get orphaned. Verified: config parses, no duplicate model_name, gateway healthy after reload, completion returns text in `content` with reasoning_content null. |
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vh
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b6ce22ddcb |
feat(litellm): register the run-3 gate base arm at operator request
gemma4-26b-a4b-it-base -> ana-ml2:8099, the unmodified upstream instruct release (/tank/aimodels/gemma4-26b-a4b-it-bf16). Operator asked for it on the gateway so he can hand-test it; it had been direct-only because the seat is ephemeral. The entry disambiguates WHICH base explicitly. Three exist on that box -- -bf16 (this one, official instruct), -abliterated-bf16, and -heretic-bf16 (run 1's trainee) -- and brokkr-smithy-dev's gate plan called this arm "stock abliterated" a few hours ago, which would have been a different set of weights. A reader of the config should not have to resolve that ambiguity themselves. Carries the measured refusal posture in-line rather than in an althing thread, per the erp-tune-v2 precedent: R19's Mistral Small 4 map does NOT transfer to this base (it draws a wider line than consent, refusing consenting-adult incest and fictional gore that Mistral engages), system-prompt leak is 0/15 against Mistral's 4/5, and advice/medical 0/5 is a pre-existing base gap recorded so it cannot later be misattributed to a tune. Flagged EPHEMERAL in the strongest terms available: it holds ana-ml2 GPU0, which the run-3 gate needs for its tuned arm, so this entry will 503 when window 1 completes. It is not a promise of availability. Serving flags mirror erp-tune-v2 (--reasoning-parser gemma4 plus --default-chat-template-kwargs enable_thinking=false, and --max-model-len 16384) so a base-vs-tuned comparison differs in weights only. Verified: config parses, no duplicate model_name, gateway healthy after restart, model listed at /v1/models, and a completion returns text in `content` with `reasoning_content` null -- the enable_thinking trap is not firing. |
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vh
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1e4d827c5d |
memory: erp-tune-v2 registered in the LiteLLM gateway at operator request
Operator asked for it so he can evaluate the failed tune by hand, overriding my not-in-the-gateway recommendation. His call. erp-tune-v1 was DELETED from the config in the same reload rather than repointed, so the name now 400s cleanly instead of 500ing against a stopped backend. Deleting rather than repointing is the point: repointing would resolve a name a consumer already knows to different weights, silently. The config entry carries the failed-gate table, the long-form truncation (9.9%) and degeneracy (4.9%) rates, and the rp-length caveat in-line -- so someone reading the gateway config learns what they are calling without having to find the althing thread. Fleet verified healthy after the restart. |
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vh
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5415fd4b30 |
docs(gemma4-charrp): abliteration measured in isolation — close to free, but it MOVES capability
Second bench window, operator-authorised after an initial decline and reversal. Stock BF16 against the llmfan46 abliterated BF16: same precision, same pinned upstream template, same 192 items, CoT off. Abliteration was the only axis that moved, which is what the previous run could not claim. Net core cost is 0.6 points — but the headline understates what happened. Capability MOVED rather than degraded: five items lost on contradiction detection, four gained on spatial composition, nearly cancelling. A gain was not predicted by anyone, least of all on that axis. The decision this was authorised to settle: llmfan46 stands as the trainee base. No case for re-staging on TrevorJS at KL 0.09 over 0.6 points — the KL gap between the builds is smaller than the gap this measurement failed to find. Both limits recorded rather than buried, per brokkr-smithy-dev: the swings are ~5 and ~4 items at n=32, so the -15.6/+12.5 percentages read more precisely than the measurement supports and only marginals were run; and this says nothing about quantization, because the stock-NVFP4 T2 figure came from n=16 against n=32 here — different item counts mean different item sets, so that comparison is n-confounded and is not being made. Turnaround was five minutes rather than fifteen because the gemma4-trainee-bench stack already existed — itself the residue of debugging a 35-restart crash-loop caused by the production compose hardcoding --quantization compressed-tensors. The fix outlasted the incident. gen restored and verified through the gateway; char-rp remains down deliberately; bench stack env reset to the heretic base for the post-tune gate. |
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vh
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019ccff7e8 |
feat(gemma4-trainee-bench): BF16 bench stack; record that gen's footprint grows with uptime
Adds an ephemeral stack for serving the BF16 trainee base on :8016 under the char-rp aliases, so the abliterated base can be measured on the same battery and the same gateway routes as the served seat with no harness edit. It is a separate stack rather than another variable on gemma4-charrp because that compose hardcodes `--quantization compressed-tensors` for the NVFP4 build. Pointing it at unquantized BF16 weights crash-loops immediately — `TypeError: CompressedTensorsConfig.__init__() missing 3 required positional arguments: 'target_scheme_map', 'ignore', 'quant_format'` — vLLM trying to read a quantization config out of a checkpoint that has none. 35 restarts before it was caught. `restart: "no"` here so a bench seat cannot resurrect itself and block gen's restore, and no homepage labels so it leaves no permanently-offline dashboard card. It cannot coexist with gen and says so: 48.07 GiB of BF16 weights plus gen's footprint exceeds the 94.97 GiB card before any KV cache. Running it means gen is stopped. THE MORE USEFUL FINDING is in the meromero env note: gen's memory footprint GROWS WITH UPTIME. Measured today at 46,726 MiB (45.6 GiB) after ~3 days up, and 39,424 MiB (38.5 GiB) immediately after a restart — same container, same --gpu-memory-utilization 0.43, ~7 GiB apart. That is the missing half of this afternoon's crash-loop: the char-rp seat "fit on the 21st and stopped fitting on the 24th" because nothing about char-rp changed and gen crept up underneath it. Headroom arithmetic done against a long-running gen is measuring a moving number, so the note now says to measure against a freshly-restarted one. Operator's requested end state reached and verified through the gateway: gen and summarizer both 200, char-rp down deliberately to hold GPU0 headroom for the upcoming trainee run, bench seat stopped. |
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vh
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14ff4a3f57 |
docs(gemma4-charrp): stage two abliterated trainee bases; record the endemic stale-template trap
The operator directed that the ERP/RP trainee base be a low-damage abliterated instruct build rather than the stock checkpoint. Two are now staged under /tank/aimodels/, both BF16, both unquantized, both matching upstream's 51.61 GB / 25.8B shape with only transformers_version differing in config: gemma4-26b-a4b-it-heretic-bf16 llmfan46, Heretic v1.2.0 ARA, KL 0.1237, refusals 3/100 gemma4-26b-a4b-it-abliterated-bf16 TrevorJS, KL 0.09, 1/100 effective and 5/686 cross-dataset "Low damage" was treated as a measurable claim rather than a description: the field spreads from KL 0.09 to 0.4118 and the table is in the README so the next choice is made on numbers. Fleet anchor for reading them — our own abliteration work found Heretic at KL 0.12 preserved the MTP head at 83.7% acceptance, so both staged builds sit inside an already-validated band rather than past it. huihui-ai is rejected despite its reputation: no published metrics, its own card calls the method a crude proof-of-concept, it abliterates both thinking and non-thinking modes, and its parameter count runs ~738M over upstream. The operator's independent read matched. The more durable finding is the chat template. NOT ONE third-party Gemma-4 derivative pulled here ships upstream's — three independent repos carry the identical stale 266-line file (sha 58c66fdee4afa297), llmfan46 carries a third 365-line variant, and only the RedHatAI NVFP4 build matches upstream's 6a1015c47ccfcfa6. It propagated through the ecosystem rather than one packager slipping, and it is now recorded as a class rather than as the single incident that surfaced it during the A16 control staging. That matters twice over and silently both times: serving a mismatched template renders a different prompt, which is why production pins it; and training through `base/chat_template.jinja` means training on a different prompt format than production serves — train/serve skew with no error, presenting as a tuning failure. brokkr-smithy-dev has been warned on the training side while the harness contract is still early enough to amend. |
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vh
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8d6a9390de |
docs(gemma4-charrp): RETRACT the contradiction-deficit claim — the item was ill-posed
Supersedes what commit
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vh
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3446367d5e |
feat(gemma4-charrp): pin the chat template; A16 control run executed and reverted
The template is now passed explicitly, defaulting to the A4 build's chat_template.jinja. That is a no-op for what is served — the A4 build ships that exact file, byte-identical to upstream google/gemma-4-26B-A4B-it once trailing newlines are normalised — and it permanently closes the class of bug found while staging the control: the A16 build ships a stale 266-line template against upstream's 390, with the thinking path built differently and no `thinking` property in its tokenizer_config response_schema. Serving each build with its own template would have moved a second axis. The control ran on the operator's greenlight and has been reverted. Seat is back on the W4A4 build, healthy, RestartCount 0, both aliases verified through the gateway — char-rp returns content with reasoning_content empty, char-rp-reasoning returns both. Result, since it settles a question this repo's config now encodes: activation precision does NOT explain the contradiction-detection deficit. Contradiction detection moved 12% -> 19% between W4A4 and W4A16, which at n=16 is 2/16 -> 3/16 — one item — against gen's 81% on identical items. Every other task is identical across the two builds and the core difference is 2.6 points carried almost entirely by two single items. brokkr-smithy-dev pre-registered that a null result would be the robust branch, because a hidden third axis would tend to create a delta rather than suppress one, so the conclusion survives the residual doubt neither side could close without a dequantization pass. The practical upshot for future scheme choices: W4A4 costs less on this workload than the caution warranted. The caution was still correct to have. Displaced production for 3.7 seconds of measurement plus two container recreates. The A16 build and the BF16 tuning base both stay on disk with the runbook in the stack README, so re-running is a two-minute flip. |
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vh
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1bd90eaacc |
docs(gemma4-charrp): stack README — the three model dirs, the A16 control runbook
The stack had no README and now carries three model directories that look interchangeable and are not: the BF16 QLoRA base that cannot be served here, the W4A4 quant that is served, and the W4A16 build that exists solely as an activation-axis control. Writing down which is which, and why, before someone "simplifies" the compose to the BF16 path and rediscovers the OOM. Also captures the A16 control procedure end to end, including the two confounds found while staging it — the two Hub repos named NVFP4A16 that declare 4-bit activations, and the stale chat template the real one ships — and the fact that overriding the template is safe because the tokenizers are identical. Both sides have now cross-checked this: brokkr independently diffed every non-quantization config field of both builds against the upstream BF16 and found only transformers_version differing. Residual risk recorded rather than hidden: config identity is not weight identity and nobody has done a dequantization pass. The Gemma-4 flags are documented as architecture-level rather than checkpoint-level, since that is why they survived the seat swap unchanged, and the enable_thinking:false pin is called out as mandatory rather than stylistic — without it every plain prose turn lands in reasoning_content with a null content and every consumer breaks. Notes the non-termination defect with thinking on (32 of 96 calls truncating at 12k tokens, all 16 constraint items among them, reasoning sound right up to the point it fails to stop) and why VLLM_USE_V2_MODEL_RUNNER=0 is deliberately not applied to a seat whose production mode is thinking-off. No live change: the seat is still serving the W4A4 build. Displacing it for the control run is an operator decision and is still open. |
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vh
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24e8826219 |
docs(gemma4-charrp): the A16 control needs a chat-template override, not just a path swap
Pre-flighting the staged A16 build before handing it to brokkr-smithy-dev's
battery found a second axis hiding inside what was supposed to be a
single-variable control.
The A16 build ships a STALE chat template. Verified by hash against the upstream
weights on the same disk: google/gemma-4-26B-A4B-it is 390 lines, the RedHatAI
A4 build's is 389 and byte-identical to upstream once trailing newlines are
normalised, and the prithivMLmods A16 build's is 266 and is not. The delta is
not cosmetic — upstream and A4 open the thinking path with
`{%- set enable_thinking = enable_thinking | default(false) -%}` and branch off
it, while the A16 template has no such set and guards with
`enable_thinking is defined and enable_thinking` instead. tokenizer_config.json
corroborates: A4's response_schema carries a `thinking` property, A16's has only
role and content. That build was quantized from an older revision of the
checkpoint.
Served with its own template, the A16 arm would render a different prompt for
identical messages, and a contradiction-detection delta could be attributed to
activation precision when it was the template. That is the same failure class as
the misnamed-A16 repos — a field nobody validated, believed because the name
looked right — one layer further down, and it would have produced a result that
looked like a finding.
Overriding is safe because the tokenizers agree: vocab identical at 262,144
entries, added_tokens identical, so the same template over the same vocab
renders the same token ids. Everything else pre-flights clean — both artifacts
complete with no missing shards, generation_config.json byte-identical.
Seat NOT flipped; displacing production for the bench window is the operator's
call and is still open.
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vh
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f509668e45 |
docs(gemma4-charrp): record the A16 activation-axis control and how to run it
brokkr-smithy-dev's first battery on the new seat scored 12% on contradiction detection with CoT off, against gen's 81%, while state tracking, deterministic constraint following, long-context state and the confabulation control all sat at 100%. That is not general degradation — it is the shape 4-bit input activations produce on the most reasoning-dense task, which is exactly the confound flagged when the W4A4 quant was chosen. They have recorded the finding as CONFOUNDED rather than reporting it as a property of Gemma, and asked for an A16 build to separate the two. No quant run was needed: a genuine A16 build of the same checkpoint already exists on the Hub and is now at /tank/aimodels/gemma4-26b-a4b-it-nvfp4a16 (prithivMLmods, compressed-tensors, nvfp4-pack-quantized, input_activations null, 17 GB). Same weights, same loader as the live seat, one axis moved. ⚠ Two other repos would have answered the question wrongly and the note in the env template says so: bg-digitalservices and ManniX-ITA both publish "Gemma-4-26B-A4B-it-NVFP4A16" whose config declares input_activations num_bits 4 — W4A4 under an A16 name, via modelopt, both 16.46 GB against the real one's 17.93. Using either and seeing T2 stay at 12% would have wrongly convicted the model. Running it is a one-line GEMMA4_MODEL swap plus a recreate, because there is no room for a concurrent seat: GPU0 has 3.5 GiB free with gen and the A4 seat on it, and GPU1's 19.4 GiB against ~18 GiB of weights is the same sub-GiB headroom that crash-looped the predecessor this morning. Port and both aliases are unchanged either way, so no consumer config moves. |
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vh
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27155c0f3b |
feat(char-rp): swap the seat to the Gemma-4 26B-A4B MoE, NVFP4, same port
Straight-across replacement of the dense G4-MeroMero-v2-31B-NVFP4A16 seat with google/gemma-4-26B-A4B-it on ana-ml2 GPU0. Port, served-model-names and every gateway route are unchanged, so no consumer sees a difference in addressing: `char-rp` -> hosted_vllm/char-rp and `char-rp-reasoning` -> hosted_vllm/char-rp-thinking, both still :8016. The seat's requirements now include chain-of-thought, which makes throughput more critical rather than less — the user waits through the whole reasoning block before the first visible token, and the MoE measures ~114 tok/s @32K against the dense 31B's ~40.7. Both artifacts are on disk and they are NOT interchangeable. The BF16 weights (/tank/aimodels/gemma4-26b-a4b-it-bf16, 49 GB) are the QLoRA tuning base, since QLoRA does its own quantization. They CANNOT be served here: 48.10 GiB of weights against ~49 GiB of free GPU0 leaves nothing for KV cache, and the engine would die at allocation exactly the way the predecessor did this afternoon. The serving copy is RedHatAI/gemma-4-26B-A4B-it-NVFP4 (16 GB), chosen over the other -it quants because it is compressed-tensors (nvfp4-pack-quantized) — the same loader path the outgoing seat used — from the llm-compressor team at 357k downloads. The nvidia/ repo is the base rather than -it, and the thinking channel lives in the instruction-tuned weights. Smaller weights at the same 0.47 memory budget buy a much larger KV pool: 27.37 GiB and 1,724,110 tokens, against the predecessor's 371,023 at the same budget. That is 6.5 full-length 262K sequences concurrent rather than 1.4. The gemma4 tool-call parser, reasoning parser and the enable_thinking:false default all carry over unchanged — they are architecture-level, not checkpoint-level. The --chat-template override does NOT carry over: MeroMero pointed at a jinja hand-patched against that checkpoint, and this model ships its own. Verified that dropping it did not reintroduce the failure that flag existed to prevent — non-thinking prose lands in content with reasoning_content empty, and the thinking alias populates reasoning_content with content carrying the answer. ⚠ Scheme differs from the incumbent and the bench should say so: this quant declares 4-bit input activations (W4A4) where the outgoing seat was NVFP4A16. Faster, and not like-for-like on the activation axis. meromero-charrp is retained stopped in `created` state and relabelled to AI - Dormant, per the house rollback pattern. Both stacks want :8016, so rolling back means stopping the gemma4 seat first. |
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vh
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850e0c3351 |
fix(meromero-charrp): drop GPU0 budget to 0.47 — the seat was OOM crash-looping
`vllm-meromero-rp` had been restarting since 2026-08-24 18:2x, 13 times by the time it was looked at, taking both the `char-rp` and `char-rp-reasoning` gateway aliases down with it (they resolve to the same seat on :8016 — hosted_vllm/char-rp and hosted_vllm/char-rp-thinking). Root cause is CUDA OOM on ana-ml2 GPU0, which the startup logs hide well: the engine gets through weights, torch.compile and CUDA-graph capture looking entirely healthy, then dies at KV-cache allocation with `torch.OutOfMemoryError: ... 195.19 MiB is free`. GPU0 is shared with `vllm-gen`. gen is configured at 0.43 but actually holds ~45.6 GiB of the 94.97 GiB card, because --gpu-memory-utilization sizes the KV cache and does not account for CUDA context, graphs and non-torch overhead. This seat was at 0.51, so the pair was committed to 0.94 of the card with about 0.6 GiB of real headroom. That fit on 08-21 and stopped fitting today. 0.47 restores ~4.8 GiB of margin and costs nothing usable: KV cache 27.36 -> 23.56 GiB, 430,825 -> 371,023 tokens against a max-model-len of 262,144, so the pool still holds 1.4x a full-length sequence. What is lost is concurrent long requests, not context. Verified through the gateway rather than at the container: char-rp returns 200 with content, char-rp-reasoning returns 200 with both content and reasoning_content populated. Seat is healthy with RestartCount 0. The arithmetic and the "check used_memory, not the flag" warning are written into the env template, because the next person to raise either budget needs to lower the other in the same change. |
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vh
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35adc4a043 |
feat(homepage): rebuild on Australis Skyfall — dual theme, light mode shipped
The board was on the Australis TERMINAL palette, which is dark-only by design
("Always dark first. No light mode in this system"). Skyfall is the dual-theme
web derivative of the same science, and its bundle turned out to be sitting in
this repo's own git history: a predecessor vendored it on 2026-08-19 and a
later commit deleted it. `git show 45c1995:...` returns colors.css with both
`:root` (dark) and `[data-theme="light"]` (Skyfall Day) intact, plus the
calm-depth layout tokens, the typography scale and Supreme 400/500/700. So the
light ramp is canonical rather than derived, which was the entire objection to
building one.
The visual language moves with the palette. Depth is now the recipe and not a
choice — every elevated surface carries a 1px hairline AND a two-layer shadow,
never one without the other. Radii move to Skyfall's scale, cards at
--radius-lg. Widget stat values move from the display face to mono, because
Skyfall is explicit that numbers and telemetry are always --font-mono. The
full-width aurora ribbon under the tab bar is gone: Skyfall sanctions exactly
two accent expressions, the active rail and hero-only glows, and a decorative
gradient across the chrome is neither — so the colour it carried now lands on
the active tab as a 2px accent bar plus an --accent-soft fill, which is the
rail. Every binding is written against the semantic layer; there are no raw
family tokens and no colour literals left in our own file.
build.py now guards the vendoring instead of advising it. The three token files
are hashed and a mismatch FAILS the build — a vendored file is either
byte-identical to the bundle or it is a fork wearing the bundle's name, and the
theme this one replaces had to be torn out twice for exactly that.
⚠ Homepage's own theme toggle is unreachable, and reaching for it breaks the
dashboard. It renders only when settings.yaml leaves `theme:` unpinned, and
with the key absent the page's data loader throws and its catch branch serves
`initialSettings: {}` — no tab bar, no layout, no i18n. Six force-recreates
over seven minutes all came up empty; restoring `theme: dark` rendered
correctly on the next recreate in 12 seconds, while /api/services returned 200
with fully correct content the whole time. That is the first confirmed cause of
the long-running "tab bar goes missing after a recreate" symptom, and it also
retires the homepage.log-size lead recorded earlier today: rolling the log
aside did nothing during this episode, so that coincidence was intermittency.
So the toggle is ours. conf/custom.js renders it and stores the choice;
build.py re-emits each vendored light block twice, once for an explicit
`data-theme` and once inside a prefers-color-scheme media query scoped to
`html:not([data-theme="dark"]):not([data-theme="light"])` — that :not() pair is
what lets a stored dark choice survive a light-mode OS. Verified against both
OS preferences: load, click, click back, reload, all four correct. `data-theme`
is the control surface; Homepage's own `dark` class stays on <html> and does
not fight, because our rules carry !important on the surfaces Tailwind's
`dark:` variants would otherwise claim.
Two font substitutions, both documented rather than silent: Space Grotesk for
Bespoke Sans and JetBrains Mono for Victor Mono. Only Supreme was ever vendored
here and Skyfall's own notes call Victor Mono user-supplied, so this is a
two-line swap when the real faces arrive.
Dark and light, all four tabs: http://10.100.10.50:8090/b/homepage-skyfall/
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vh
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39da1d4a97 |
feat(homepage): recategorise on "do I open this?", collapse the API groups
The board mixed tools with endpoints. A vLLM seat whose href is a /docs page
sat in the same band as ComfyUI; the MQTT broker and the RustDesk relay, which
have no page at all, sat in Apps; and `Service Networking` was thirteen members
spanning three AdGuards, five Dockges, two Traefiks and four headless agents.
Every group is now one of two kinds and they never mix. TOOLS are expanded and
sit at the top of their tab. ENDPOINTS — an API, a broker, a background agent,
an href that is /docs or /ping or nothing — carry `initiallyCollapsed: true`
and sit at the bottom. Collapsed is not hidden: the eyebrow and its rule still
render, so the tab still says the thing exists and one click expands it.
A second rule fell out of the same pass and now shapes the group boundaries: a
group's members should all carry a widget or none should. A stat strip makes a
card ~50px taller, so one widget card in a row of plain ones opens a void under
the plain ones. That is why AdGuard and Traefik get their own groups rather
than sharing one with Dockge, and it is most of why the old Service Networking
band looked broken. AdGuard (ANA) was the last short card in its row and now
carries the same query/blocked/latency strip as its two siblings — one
infra-ops AdGuard login authenticates against all three instances, verified
against each; it lives in that stack's .env on the host and is vaulted.
The sixteen GPU-backed model seats were deliberately NOT relabelled.
`homepage.group` is read at container creation, so clearer names for
`AI - Inference` and friends would have cost a recreate on six vLLM seats, four
eval seats and four TTS engines — multi-minute model reloads on endpoints peers
reach through the gateway. Order plus `initiallyCollapsed` buys the same
separation for nothing, so those names stay as they are on purpose.
28 containers that ARE cheap to bounce were relabelled, across five hosts, via
rerunnable elway playbooks. Their label steps are gated on the old value still
being present, so a second run reports skipped rather than churning. Two verify
steps were wrong on first contact and are fixed with the reason recorded: the
traefik check raced its own recreate, and asserting a model seat is "running"
cannot answer "did I bounce it" when a seat may be legitimately stopped —
container age can, and now does.
The canonical stacks/ tree was synced to the deployed labels afterwards, so
intent and reality agree again on all fourteen tracked stacks.
Also documents the real nature of the post-recreate blank dashboard, which cost
~25 minutes here and an hour on 2026-08-19. `initialSettings":{}` in the served
HTML is the catch branch of the page's data loader, not a warm-up and not a
cache — and the error can vanish entirely, because the logger is assigned inside
the same try and the catch only logs if the logger exists. Ruled out by
measurement this time: all four API routes return 200 with correct content while
the page serves {}, and the previous known-good settings.yaml reproduces it
identically. The README now carries the one-command test and the next lead.
Before/after, all four tabs: http://10.100.10.50:8090/b/homepage-relayout/
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f6f2f69649 |
fix(homepage): uniform 4-column grid, hold the status gutter, unleak AI Systems
The board's card width changed at every group boundary because `columns:` was being tuned per group under the 2026-08-18 "columns = member count" rule. That rule is retired: it sets `lg:grid-cols-N` for one group, so it fixes that group's CARD WIDTH, not its density. Measured on the live board, Notes rendered a single 1464px card, News and Media 728px, Eval & Retrieval 286px, everything else 360px. All 20 groups are now `columns: 4` and every card renders at 360. `.service-name` reserved a 78px status gutter with `padding-right` and relied on `overflow: hidden` to hold it, but overflow clips at the PADDING box — the gutter was spill room the title printed straight through. Six cards on the AI tab rendered their name underneath their own status pill, measured by testing the title text node's box against the status cluster's. The intended ellipsis never fired either: it is painted by whichever block's own line overflows, and that is the anonymous box around the bare title text node, which does not carry `overflow`. The gutter holds by wrapping now, and the description opts back out of it with a negative margin since the pill only ever covers the first line. Scriberr's `homepage.group=AI Systems` named a group absent from `layout:`, so it had no `tab:` and rendered on all four tabs — the same defect as UltraSeedbox in 2026-08-18, arriving this time from a container label. Relabelled to `AI - Audio Tools`, where the other ASR seats already live. The `homepage.group=AI Systems` sample in the repo-root CLAUDE.md was the source of the name and now carries the constraint, plus the fact that a labelled container is discovered from any of the five configured engines and must not also be listed in services.yaml. Also: descriptions clamped to three lines so a five-line outlier stops dragging its row 50px taller than its neighbours; icon ramp overridden off slate-400 -> slate-700, which was sinking the bottom half of every glyph into the card fill; bookmark groups and Jellyfin's trailing stream rows brought into the card and eyebrow vocabulary; group gap 10px -> 22px now that width no longer separates them. The icon override sits on `html[class]`, not `:root`: Homepage sets the same variables on `.theme-slate`, which is on the <html> element, and a class beats `:root` on the same element. Verified with Playwright against the live board — per-group card width, card height spread, and a geometric title-vs-status collision check, before and after. Before/after captures: http://10.100.10.50:8090/b/homepage-relayout/ |
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6217d3993e |
fix(scriberr): force uv to copy rather than reflink when building envs
Scriberr builds each model backend's Python environment with uv at container start. uv's default link mode reflinks or hardlinks out of its cache, which fails on this overlayfs over ZFS combination and reports it as a failure to clone a metadata file with errno 11, resource temporarily unavailable. The wording points nowhere near the cause. The damage was partial and therefore easy to miss: WhisperX and PyAnnote came up fine and the application served normally, while the Parakeet and Sortformer backends were quietly absent. Setting UV_LINK_MODE to copy trades a little disk and build time for environments that actually materialise, and the occurrence count for that error is zero on the following start. The knob is exposed through the environment so it can be moved back to the default if a future host does support reflinks. |
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efddb4e511 |
feat(scriberr): stand up transcription on ana-ml2, pinned to GPU1
Scriberr transcribes audio and video locally with WhisperX and speaker diarization, and it lands on ana-ml2 rather than ana-docker because the work is GPU-shaped: ana-docker offers eight cores already shared with fifty containers and thirty-seven gigabytes of disk, against ninety-six cores, terabytes on /tank and idle capacity on GPU1. The reservation names device 1 explicitly, since GPU0 is fully committed to the gen seat, and the container is confirmed to see that card alone. The image is built from source, which is not a preference. These are Blackwell cards at sm_120; the published CUDA image covers Pascal through Ada only, and the blackwell image the upstream README documents has never been published at all. The path upstream actually ships for sm_120 is Dockerfile.cuda.12.9, carrying CUDA 12.9 and cu128 torch, so that is what gets built. The compose header says so, because the obvious cleanup is to swap in the published image and that would silently drop the deployment to CPU. Two configuration details are load-bearing and documented where someone would go to change them. The application runs as uid 10001 rather than the usual 1000: that Dockerfile moves its user aside for Ubuntu 24.04's own uid-1000 account and chowns /app accordingly, while the entrypoint's remapping covers only the data directories, so at 1000 the process cannot open its database and restarts forever behind a SQLite error that reads as though the machine were out of memory. Secure cookies stay off while the service is reached over plain HTTP, or sessions are dropped by the browser and login appears to loop for no visible reason. Storage is bind-mounted onto /tank because model weights run to several gigabytes and the root pool on that host is nearly full. Also adds the scriberr service alias to internal DNS, following the existing alias convention so consumers name the service rather than the box. |
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b8a535507a |
feat(judge-bench): keep the judge harness; warn about the 7-way alias collision
Operator: keep the benchmark. It has a named second use (brokkr-smithy-dev wants gen vs a trained reward model once their tournament converges) and a demonstrated first one -- it caught a seat that had been coin-flip-grade for five weeks with nobody measuring it. Harness promoted from scratch to tools/judge-bench/: - paths de-hardcoded; runs from its own directory - proper CLI: --models (REQUIRED), --repeats, --limit, --gateway. Required on purpose: a stale default would silently benchmark a retired seat, and the original default (selene-1-mini-8b) now 400s. - README states the limitation rather than burying it: 24 items of the author's own design, a screen and not a verdict. This harness scored the same pair 83 vs 96 while brokkr's corpus ranking task scored it 47 (chance) vs 94. Both honest; absolute scoring on designed items is an easier task than ranking real text. - records brokkr's technique, which is better than anything here: a control constructed so the correct answer is DEFINITIONAL rather than judged cannot inherit the designer's error (item vs itself, response vs its own truncation, text vs its own clauses permuted). Add those before adding more judged items. Gateway: comment-only warning at the head of model_list. SEVEN aliases now resolve to the same weights (chat-judge, classifier, gen, image-judge, qwen-image-bench, summarizer, summarizer-large -> qwen3.8-27b-uncensored). That is intended under ADR-0012, but it has a sharp edge brokkr flagged: cross-checking a result against another alias measures NOTHING when they are the same model -- agreement is an echo, not corroboration. The note names the other current collisions (glm-5.2 x4, TTS x4, reranker x2), gives the /model/info one-liner to check, and records that probes should resolve alias -> backing at run start AND end because the response `model` field returns the alias, so a swap is otherwise invisible. Verified: config still parses, diff is comment-only, canonical re-synced. |
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ca3c984f93 |
feat(selene): retire the seat; chat-judge -> gen, selene-1-mini-8b 404s by design
Benchmarked selene against gen on selene's own job: 24 designed judge items with checkable ground truth, pairwise + absolute modes, 3 repeats, on BOTH a neutral JSON prompt and Selene's native Atla template. 288 calls, all free local. neutral JSON selene 20/24 (83%) gen 23/24 (96%) native Atla selene 21/24 (88%) gen 22/24 (92%) gen won on both templates and selene's BEST sat below gen's WORST. Selene was given its own fine-tuned template as a fairness check; it gained one point, not the three it needed. Decisive defect: selene cannot emit "tie" -- 0/2 on both templates, forcing a winner on every equivalent pair. For eval work that is the case that matters most. gen returned tie correctly on the JSON template. Selene also compressed the 1-5 scale (clustered at 2s and 4s) where gen used it fully. Selene's only win was ~3x latency, unexercised at ~60 calls/day with zero queueing. TWO NAMES, TWO DIFFERENT TREATMENTS, deliberately: - chat-judge -> repointed to gen. It is a ROLE alias and ADR-0012 says consumers bind the capability, not a concrete model. Sampler profile copied from image-judge (temp 0, top_p 1.0, top_k 1, thinking off) so the served config matches the benchmarked condition. - selene-1-mini-8b -> REMOVED. It 404s. It was NOT aliased to gen. A served-name is a contract about what the model IS; answering it with a different model hides a material change behind a stable string. Operator ruling: "never repoint a named model at a different model's endpoint -- that is intentionally misleading." Verified: the gateway now returns HTTP 400 "Invalid model name" for it. Reclaimed 17.2 GiB on ana-ml2 GPU 1 (free 1,818 -> 19,450 MiB) on a card that had under 2 GiB of headroom. gen already runs on GPU 0, so the judge role moved onto an existing seat rather than allocating anything new. Canonical litellm config synced from the host; ana-ml2 README and recommended-model-settings updated. compose.yaml kept for reference, not deployed. |
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9642952a54 |
docs(hrafn-ci): mirror the now-canonical vh/hrafn pipeline; record two failed runs
claude-bot holds write on vh/hrafn as of 2026-08-23, so the canonical copy of the pipeline moved there and infra-ops maintains it directly instead of routing patches through the repo holder. The files here are a verified mirror (byte-identical to live at 22e0eb9d75a6). Live state: run 9922 green, and both new content assertions executed rather than merely existing -- verify 4/5 host tree matches shipped context (a99ce748a0c9...) verify 5/5 image source matches host source (06f209fd0641...) The CI-computed context hash matching on the host is the end-to-end proof that the converge lands what CI ships. Its absence is what let the frozen-source bug survive every green deploy. Also records why the HEAD == GITHUB_SHA assertion was added and then removed: it needed the git binary (run 9920, exit 127), and installing git flipped actions/checkout@v4 from its node implementation to the git binary, which died on a missing CA bundle (run 9921). A nice-to-have assertion changed the checkout code path and broke a working pipeline; it guarded a hypothesis that proved wrong, so it went rather than getting ca-certificates bolted on. |
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b38c369313 |
fix(hrafn-ci): staging dir inside the rsync target froze host source silently
Root cause of nevermore-claude's report that v1.0.0 deployed green while the host kept serving 0.1.0. The staging dir was $compose_dir/.stage -- INSIDE the rsync target. So `rsync -a --delete $compose_dir/.stage/ $compose_dir/` deleted .stage from the destination (absent from the source listing) DURING the transfer, destroying the source mid-copy. Reproduced exactly: before: app.py="OLD" leftover.txt .stage/app.py="NEW" after: app.py="OLD" leftover.txt GONE, .stage GONE Deletion worked; the copy silently did not. So the directory looked converged while host source stayed frozen at the first manual rsync, and because the build's COPY inputs never changed, Docker full-cache-hit and every SHA tag aliased one image. The provenance guarantee was false. Nothing caught it because the verify steps asserted the marker, health, and a 200 from /readyz -- all of which pass on a frozen host. None measured content. Fixes: - stage at /tmp/hrafn-deploy-stage, outside the target - CI computes context_sha256 over the shipped file list; the playbook recomputes it on the host post-converge and fails on mismatch - compare the running container's src/**/*.py against the host's, catching a SHA tag naming layers the image does not contain - checkout clean:true + assert HEAD == GITHUB_SHA so a reused runner workspace fails the job rather than shipping a stale tree Declined --no-cache: a cache hit is correct when the context is genuinely unchanged, and the new assertions prove the property directly rather than brute-forcing it. The container-vs-host check compares only *.py -- `pip install .` generates src/hrafn.egg-info/* inside the image and __pycache__ appears at runtime, so a naive `find src -type f` compare false-fails on every healthy deploy. Verified against the live container before shipping (12 host files, 18 in container, 0 content differences). |
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11b9d1891e |
fix(hrafn-ci): make the deploy converge instead of accrete
The first CI run shipped clean but revealed a design gap in the playbook: unpacking the context tarball in place overwrites tracked files and never removes anything. Leftovers from the pre-CI hand-rsync (tests/, docs/, ROADMAP.md, persistent-memory.md, CLAUDE.md, LICENSE) survived the deploy and had to be cleaned off ana-docker by hand. That is the same failure class that produced the mess in the first place: a deploy that only ever adds cannot return the host to a known state. - unpack to a staging dir, then rsync --delete onto the compose dir - protect host-owned .env and .deployed by name - add .env.example to the context tarball so converge does not delete it - record in the workflow that the tar list is now AUTHORITATIVE: anything omitted is removed from the host on the next deploy Re-validated with `elway --dry-run` (9 steps, 3 verify, parses clean). Not yet in vh/hrafn -- infra-ops has no write access there, so this is offered to the repo holder rather than pushed. |
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b001d0cb2e |
feat(hrafn): author the CI deploy that replaces the hand-rsync path
hrafn was handed to infra-ops for uptime ownership with no CI deploy and no commit provenance -- the image was always local/hrafn:v1 and the whole working tree lived in the compose directory. These two files fix both. They are authored here because infra-ops owns hrafn's uptime, but they belong in vh/hrafn; claude-bot is not a collaborator there, so they are handed to the repo holder rather than committed directly. - playbooks-deploy.yaml -> vh/hrafn playbooks/deploy.yaml - gitea-workflows-deploy.yaml -> vh/hrafn .gitea/workflows/deploy.yaml Design calls recorded in the README: the build context travels as one tarball rather than per-file upload steps (nevermore's pattern fails open when a new source file has no matching step), and the playbook refuses to deploy unless .env exists at 0600 -- a guard prompted by it arriving 0644 with a live bearer token in it. Validated with `elway --dry-run`, which caught a real interpolation bug during authoring. No new Actions secrets needed. |
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b6924de728 |
feat(hrafn): register the browser-fetch service and tighten its env perms
nevermore-claude handed hrafn to infra-ops for uptime ownership. Intake: verified health independently, brought it into the inventory, and fixed one security defect found during the check. - canonicalize stacks/hrafn/ (compose.yaml + .env.example + README) - list hrafn in the ana-docker running-stacks table - README records the load-bearing bits: shm_size 1gb is required for Chromium, playwright and the base image are version-coupled, SSRF denies private targets by default, and restart:unless-stopped does NOT act on healthcheck failure Security fix applied on the host, not in this tree: /opt/docker/compose/ hrafn/.env was 0644 with a live 57-char bearer token in it, readable by every local account (verified by reading it as `nobody`). Tightened to 0600; owner unchanged so the deploy path still works, confirmed via `docker compose config` as lkraven. Container untouched and still healthy. Known gaps recorded rather than silently accepted: no CI deploy, and the image builds from an rsync'd working tree living in the compose directory, so the running image has no commit provenance. |
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7bf17dd39e |
fix(filezilla): set restart: unless-stopped and canonicalize the stack
The filezilla container on vm-esh-nas shipped with no restart policy. It was SIGTERMed during the 2026-08-18 host shutdown and never came back, staying down four days while dockge/dozzle-agent/beszel-agent all recovered on their own. - add `restart: unless-stopped` (applied on the host, container recreated and verified serving 200 on :5800 with all four /NAS mounts visible) - promote the previously un-canonicalized compose into stacks/filezilla/ so the policy is version-controlled rather than host-only - record the missing-restart-policy failure mode in the host README |
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6e82899ba7 |
fix(mog-sec): retune to 0.52/420K after a runtime OOM at 0.55/480K
The 0.55 configuration booted cleanly, passed every startup check, and then killed the engine on an ordinary request of roughly 20k tokens: torch.OutOfMemoryError allocating 614 MiB in the GDN causal_conv1d path with 443 MiB free. The container self-recovered via restart: unless-stopped. Context length was not the cause. gpu-memory-utilization is not a hard reservation. Weights and KV are reserved up front, but activation memory is allocated on demand and the profile that sizes it uses dummy data at max_num_batched_tokens. The profile predicted 3.62 GiB; the process sat about 1 GiB over its entire budget even at idle. With six vLLM containers sharing GPU1 there was no slack left to grow into, and a modest allocation lost the race. 0.52 leaves roughly 7.7 GiB free against 4.6 GiB at 0.55. Records a measurement that governs how max-model-len can be chosen at all: the KV pool varies between boots. Two consecutive boots at 0.52 produced 425,663 and 453,600 tokens, a 6.6 percent swing, because the pool is sized from free memory at startup and that depends on what the other tenants hold at that instant. 420,000 sits under the lower observation so the seat starts in both conditions. Sizing to the higher one would boot today and refuse tomorrow, which is why the value was measured across boots rather than estimated from one. Concurrency of about 1.0 to 1.08x means one request at full length. Shorter requests still batch normally, since vLLM schedules by tokens rather than by max-model-len. |
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8389470898 |
feat(mog-sec): promote the DFlash2 configuration into the compose stack
Operator approved after real-use testing. The experimental standalone container is retired and stacks/mog-sec is canonical again, with restart: unless-stopped so the configuration survives a reboot. Cutover verified against the container it replaces: KV pool 526,617 tokens at 1.10x concurrency, identical; zero restarts; both gateway aliases serving; DFlash2 confirmed drafting at k=7 with 231 draft tokens over 33 drafts; vision working at 2048x2048. One variable was deliberately dropped rather than carried over. The previous stack hardcoded PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True, the validated container never set it, and the quant playbook records expandable_segments corrupting retained tensors in another context. The compose now defaults it empty via MOG_ALLOC_CONF. Promoting the stack as it stood would have shipped a variable the tested configuration did not have. The speculative config moves into a single MOG_SPEC_CONFIG carrying the whole JSON, because the two shapes are not interchangeable: dflash requires a model pointing at the drafter and MTP must not have one, so a method-plus-tokens template cannot express both. Also parameterised: MOG_DRAFT_MODEL, MOG_MM_PROCESSOR_KWARGS, MOG_MAX_NUM_BATCHED_TOKENS. The mm-processor image cap is now mandatory rather than incidental. The model's own preprocessor declares 4096x4096, which expands to 16384 image tokens and kills startup on builds that enforce the image-token count check. Adds the .env.example this stack never had, carrying the measured rationale for each value and the one-line rollback. |
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aa5863c9a3 |
feat(speaches): OpenAI-compatible faster-whisper ASR seat on irv-ml1 A6000
Deployed for Eyra (meeting recorder) per the eyra-dev request. Serves
large-v3 (batch tier) + distil-large-v3 (low-latency tier) on :8204,
fp16, both resident, ~5.9 GB VRAM against 20 GB still free.
Sits alongside the existing parakeet stack (:8765) deliberately: parakeet
is a TDT/transducer returning bare {"text": ...} and has no no_speech_prob
concept, so it structurally cannot serve this consumer.
The load-bearing requirement -- segments[].no_speech_prob surviving
response_format=verbose_json -- is VERIFIED on both tiers.
Measured finding worth more than the deployment: no_speech_prob alone is a
WEAK hallucination gate on this stack. Pure silence and pink room tone both
produced the classic Whisper 'Thank you.' hallucination while no_speech_prob
stayed under 0.11 -- a conventional >0.6 threshold passes both through.
avg_logprob separates the same cases ~6x more decisively (-0.11 speech vs
-0.65/-0.72 non-speech) and compression_ratio splits 1.141 vs 0.556.
Consumers should gate on a composite, not no_speech_prob alone. Table in
the README.
VAD pinned OFF at the consumer's request (they VAD-gate upstream on the
capture edge). Consequence stated plainly in the README: with VAD off this
service will transcribe silence into text and is not defending itself.
Image pinned BY DIGEST rather than :latest-cuda, because the VAD-off
setting rides on _UNSTABLE_VAD_FILTER -- a variable upstream explicitly
marks unstable. A floating tag could rename it on any bump, silently
restoring VAD and moving no_speech_prob semantics under a calibrated gate
with no error and no log line.
Two deployment gotchas recorded: PRELOAD_MODELS only loads models already
cached (it does not download -- use POST /v1/models/{id}), and the bind-
mounted cache needs a hub/ subdir or every /v1/models call 500s with
CacheNotFound while /health still returns 200.
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5e47a59b32 |
feat(meromero): MeroMero-v2 dual-mode (prose + streaming CoT) live on one seat — no re-quant
The multi-turn Gemma-4 CoT problem is solved. One MeroMero-v2 seat, one weight set,
two aliases: char-rp (prose) + char-rp-reasoning (streaming chain-of-thought).
The winning stack, traced from vLLM source by the four-arm brokkr/dwarf panel:
- vllm/vllm-openai:v0.26.0 — ships transformers 5.14.1 natively, below the
head_dim guard, so Gemma-4-31B loads with no pin and no custom image. It also
carries the #48217 streaming pre-arm fix.
- A patched chat template whose enable_thinking:true branch force-opens a BARE
<|channel> (not <|channel>thought\n -- full-open defeats _preprocess_feed's
injection). --chat-template override, no re-quant.
- Two served-names char-rp / char-rp-thinking; --reasoning-parser gemma4;
default enable_thinking:false. LiteLLM char-rp -> prose, char-rp-reasoning ->
the thinking served-name with enable_thinking:true.
Verified: streaming CoT split 6/6 direct on :8016 and 3/3 through the gateway;
char-rp prose clean on both transports with no trailing-token leak.
Two hard-won facts recorded in persistent-memory:
- STREAMING ONLY. Non-streaming can't split -- extract_reasoning never receives
prompt_token_ids so the pre-arm can't fire (a vLLM one-shot bug unchanged
across v0.24-0.27). Fine here: Lobe/OWUI stream. Upstream PR #49797 fixes
non-streaming too, landing ~v0.28.0 -- then it's a clean image bump.
- KEY-NAME TRAP: vLLM streams reasoning in delta.reasoning; LiteLLM normalizes
to delta.reasoning_content. I lost two false-negative test rounds to this.
Canonical: stacks/meromero-charrp/ (compose + patched_chat_template.jinja) and
stacks/litellm/conf/config.yaml. Rollback is the .env image line + dropping
--chat-template.
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76834777a4 |
feat(open-webui): deploy env-declarative chat bake-off on esh-docker-vm:3211
Stand up Open WebUI v0.11.0 parallel to lobe-chat (:3210) as an operator-approved candidate replacement. Env-declarative config (ENABLE_PERSISTENT_CONFIG=False = the deploy is the config source of truth), model picker auto-tracks the LiteLLM gateway with no pins, background task model pinned to summarizer, TTS routed direct at the dots gateway (:8198). Gates verified on the box: G1 (declarative config, both directions), G2 (picker == live gateway roster, no hand-listing), G3 (models/sync genuinely reconciles create+delete), G5 (task model pinned). G4 (TTS) handed to tts-dev. Credential posture (G6): fresh capped LiteLLM key open-webui-esh (all-proxy-models, $50/1mo budget) rather than inheriting the uncapped lobe-chat-esh key; signup locked off after admin creation. Secrets vaulted under esh-docker-vm/open-webui-*. Note: the API-key toggle env var is ENABLE_API_KEYS (plural); a var only reaches the container if compose names it in environment:. lobe-chat is untouched. |
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3d30a6530b |
feat(lobe-chat): pass every chat-capable model through the picker
Operator: "pass everything through, lobe is a test surface for me." The picker goes from 11 curated seats to all 25 chat-capable models the gateway serves, paid passthroughs included. Membership is derived from LiteLLM's declared `mode` rather than by taste: chat (15) and completion (1) are in, and the nine GLM/frontier entries whose mode is unset are chat models in practice. Out: audio_speech (ext-tts, tts-1, tts-1-hd, gpt-4o-mini-tts), embedding (qwen3-embedding) and rerank (reranker, reranker-a3-bge-v2-m3) — seven models that cannot answer a chat request at all, so listing them would recreate the visible-but-dead entry this list just got fixed for. Every candidate was probed live from inside the container before being pinned, which corrected an earlier claim in this file. char-rp and char-rp-reasoning are NOT retired: they are configured and their upstream seat (ana-ml2:8016) is refusing connections while under maintenance, which is a 500, not a 400. Both are retained deliberately — dropping a name because its seat is bouncing makes the list rot in the other direction. Only char-rp-fable is genuinely gone (400, absent from model_info). The comment now spells out the 400-vs-500 distinction so the next editor does not repeat the mistake. Also corrects the credential-posture header, which still described the key as scoped to free local models and cited the glm/kimi rejection as current verification. The key now carries the all-proxy-models access group with no budget ceiling, so that block had become a false security claim in the most load-bearing comment in the file. |
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303fb7a5aa |
feat(lobe-chat): add the sec seats to the picker, drop two retired ones
Two independent gates kept the new `sec` family out of Lobe, and only one of
them was visible from the symptom.
The picker never auto-discovers. `OPENAI_MODEL_LIST=-all,+<names>` clears
Lobe's built-in OpenAI catalogue and re-adds one model per `+name`, so anything
added to LiteLLM stays invisible until this list is edited and the container
bounced. That pin is deliberate — an unpinned picker offers models that fail on
click — but it means the list rots in both directions, and it had:
- `sec` / `sec-reasoning` missing (hosted_vllm/mog-sec-27b{,-thinking} on
ana-ml2:8019, added to config.yaml earlier today), and
- `char-rp-reasoning` / `char-rp-fable` still listed after being retired
upstream, i.e. two picker entries that 400 on click. Verified: a call to
char-rp-fable now returns 400 Bad Request.
The list is now curated to live, chat-capable, free-local seats — eleven, each
round-tripped through the container after the bounce. The paid family stays out
deliberately; that is now a picker decision rather than a key one.
Which is the other half of this commit: the `lobe-chat-esh` key is no longer
scoped to free local models. On the operator's instruction infra-ops swapped its
explicit array for the `all-proxy-models` access group, so it now reaches the
paid passthroughs with `max_budget: None`. The README documented the old posture
as current, which made it a security claim that was no longer true; it now
carries the change, what it costs, and the fact that the picker is the only
remaining gate.
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564f5ae4f6 |
chore(litellm): rename mog-sec aliases to sec / sec-reasoning
Operator's call: the pen-test seat is reached as `sec` (non-thinking) and `sec-reasoning` (thinking). Backend and served-model-names (mog-sec-27b[-thinking] on :8019) are unchanged; only the gateway alias name changes. Old mog-sec / mog-sec-reasoning now 404. |
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36c173c6a1 |
feat(mog-sec): quant + serve M.O.G.-SEC pen-test seat; PPL on gen; retire fable
Autonomous overnight run under the operator's full-autonomy grant. End state:
fleet up, gen seat untouched, a new verified pen-test seat serving where fable was.
PPL on the orcarouter gen seat (fable downed to free GPU1 for a nospec probe,
probe torn down after): mean 7.07 / median 5.76, within noise of heresy 6.910 /
5.625 and identical to our recipe's usual 7.059. The gen-seat search is settled.
M.O.G.-SEC: chose Blackfrost-Research/M.O.G.-SEC-27B-1M-CTX-BF16 (rev deede677)
over the pre-made ModelOpt NVFP4, which was disqualified on W4A4 4-bit activations
(the AEON degradation mode, catastrophic on a 1M-context model), zero MTP tensors,
and ModelOpt format. Pulled, format-screened (P(<think>) 1.11e-05, clean), quanted
in-house to mixed NVFP4+FP8 (23.4 GB, MTP + vision preserved), and served in the
retired fable slot.
stacks/mog-sec ana-ml2 GPU1 :8019, KV 418,218 tok / 1.60x @ 262K
aliases mog-sec (non-thinking), mog-sec-reasoning (thinking)
gates surface 6/6, MTP 55.3%, format 0/15 leak, vision 7/3/1,
capability 4/4 (delivers offensive-security content)
Served at native 262K, NOT the card's 1M -- the 1M needs YaRN (absent from the
weights' config) plus the SGLang/DFlash2 path the repo ships a deployment kit for,
neither of which is our vLLM surface. A real 1M seat is a separate SGLang project.
Retired char-rp-reasoning + char-rp-fable (zero traffic, pointed at the downed
fable :8019; now 404 cleanly, not repointed -- a security model is not an RP model).
char-rp (meromero) untouched. Vision preprocessor built from the model's own
image_processor block, same trick as the MeroMero seat.
GPU0 seats (gen, meromero) were untouched and healthy throughout. The quant ran in
GPU1 free space with no production seat stopped except fable, which was replaced.
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1d3b80169a |
fix(nevermore): repoint onto live aliases — its LLM pass had been dead 8 days
nevermore pinned LLAMA_SWAP_MODEL=granite-4.1-8b, an alias retired with the
granite seat on 2026-08-12. Every summarization call since then failed: 67
consecutive status=failure rows, 0 tokens, twice daily, entirely silently. The
briefing had been rendering with no LLM pass at all. Nothing alerts on
status=failure in the spend logs, so it took an unrelated question about
reranker VRAM to surface it.
It was also pinned to NEVERMORE_RERANK_MODEL=qwen3-reranker -- the incumbent
Brokkr R43 measured harming 80/90 fleet queries -- and was its ONLY caller,
while the production `reranker` alias sat at 0 calls for 4 days. The R43
cutover repointed the alias but never moved the consumer.
nevermore/.env LLAMA_SWAP_MODEL granite-4.1-8b -> summarizer
NEVERMORE_RERANK_MODEL qwen3-reranker -> reranker
(server-only; .env is excluded from the mirror both ways)
Verified against nevermore's exact call shape: summarizer returns clean content
with 0 reasoning chars at temperature 0.2 / max_tokens 4000; reranker scores
0.95 on-topic vs ~1e-5 off-topic; embedding returns dim-1024.
Retired alongside it:
vllm-rerank :8002 Qwen3-Reranker-0.6B + the qwen3-reranker alias
vllm-rerank-a4 :8014 gte-reranker-modernbert + its alias
vllm-granite :8004 Exited 8 days, dead service block
and vllm-rerank-a3 was promoted from a throwaway `docker run` into this stack
(the selection ledger's own open follow-up). Healthy in 55s. It keeps the
bake-off arm name so the ledger, memory and R43 record stay valid.
VLLM_VERSION is pinned latest -> v0.24.0. Every service in the stack shares that
one variable, so a bare `compose up -d` could have silently upgraded all of
them at once; both tags resolved to the same local image (4091d5593f77), so the
pin changed nothing at runtime.
GPU1 is down to 81,448 of 97,887 MiB -- 13.9 GB reclaimed tonight.
Correction: an earlier claim that A4 had no gateway alias was wrong. It did.
LiteLLM serves both config-defined and DB-defined models -- live showed 32
against config.yaml's 26 -- and grepping the file cannot see the difference.
/v1/models and /model/info (which flags db_model) are the ground truth. DB
models delete hot via POST /model/delete with no restart.
Left alone: reranker-a3-bge-v2-m3, a zero-call duplicate of `reranker` on the
same backend. It is Brokkr's cutover-verification handle -- redundant rather
than broken, and another agent's tooling is not mine to delete unilaterally.
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b990951d80 |
chore(vllm): retire LFM2.5-2.6B permanently; audit finds nevermore on the harmful reranker
Operator directive: lfm2.5-2.6b goes down permanently.
- stacks/vllm/compose.yaml vllm-lfm25 service removed (replaced by a
tombstone comment), pushed live to ana-ml2
- ana-ml2 container docker rm -f'd, 8,721 MiB freed on GPU1
(95,388 -> 86,667 of 97,887)
- litellm config lfm2.5-2.6b alias deleted, live + canonical,
28 -> 27 models
It was an EVAL-ONLY bake-off seat against granite-4.1-8b that never received
the operator ruling it was pending; the comparator was retired from the roster
on 2026-08-15; it was deliberately never wired into any default or fallback
routing chain; and spend logs show 0 calls in the 4-day window to 2026-08-21.
Weights stay in the shared HF cache -- nothing deleted from disk.
The gateway restart that makes the alias deletion take effect is HELD so it can
batch with a pending reranker change. Until then the name is still routable
in-memory and will error against a dead backend.
Auditing the three reranker seats while answering "why do we have three" turned
up a real problem. The design is one production, one rollback, one fallback --
but the traffic is backwards:
:8013 A3 bge-v2-m3 PRODUCTION, backs `reranker` 0 calls / 4 days
:8002 Qwen3-Reranker RETIRED incumbent, rollback only 7 calls, 12-hourly
:8014 A4 gte-modernbert "fallback" no alias at all
nevermore is hard-wired to the incumbent by name (NEVERMORE_RERANK_MODEL=
qwen3-reranker), so the R43 cutover never moved it -- the cutover repointed the
`reranker` alias and correctly left `qwen3-reranker` naming the Qwen model.
Brokkr R43 measured that model harming 80/90 fleet queries, so nevermore's
twice-daily rerank pass is likely degrading its own briefing.
Fix is one line in nevermore's .env plus a nevermore restart, and it must land
before :8002 is retired. Recorded in persistent-memory with the A4 alias also
noted as absent (global CLAUDE.md names reranker-a4-gte-modernbert; it does not
exist).
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6770ba26d6 |
feat(booth): kept boards — a .forever sentinel and a standing link board
Agent sessions hand the operator URLs and they drown in terminal scrollback. The Booth is the right home for them — it already has the one property that decides adoption, which is that a session can publish with mkdir and cp, no API key, no schema, no deploy — but everything in it dies in 24h. So: a booth containing `.forever` is never swept, and renders in its own Kept lane at the top of the index. Opt-in per booth, so the ephemeral default is untouched and nobody inherits a cleanup chore. `rm` the sentinel and the board rejoins the sweep; the CLI verbs are sugar over exactly that, which keeps the filesystem-is-the-state model honest. The pin is deliberately NOT wired into is_expired(). That stays a pure age question feeding the `expires_in` countdown; only sweep_once() honours the sentinel. Keeping expiry arithmetic and reaper policy apart means they cannot drift into each other. Kept cards are visually separated per Australis: a 2px top edge in aurora blue, the one accent border the system sanctions. They show "kept" instead of a countdown, and they deliberately lose the one-click wipe button — a × next to the durable stuff is a footgun, so removing a kept board is a two-step act. `booth link <url> [description]` appends to the standing `links` board, creating and keeping it on first use. Entries carry provenance (handle or hostname, plus a timestamp) because a bare URL is unreadable three days later. The append is one printf of one line to an O_APPEND fd — atomic under PIPE_BUF on POSIX — which matters because many agents post to one board and interleaved half-lines would be the obvious failure mode. Seven tests cover the sentinel: detection, survival of a sweep that wipes its neighbour, the deliberate is_expired/sweep_once split, the listing flag, the sentinel not inflating item counts, and both lane-rendering directions. Two of them originally asserted on the bare strings "Kept" and "kept-grid", which passed for the wrong reason — those also appear in the inlined stylesheet served on every page — so they now assert the full class attribute. 55 pass. Also corrects the Homepage card's description, which advertised a flat 24h TTL that is no longer the whole story. |
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23cccf5f53 |
fix(homepage): force the canvas clear of the cached wallpaper div
Removing the `background:` block from settings.yaml was not sufficient. Homepage server-renders the wallpaper as an INLINE style on `<div id="background">` and Next.js caches the rendered page, so the aurora survived both the config removal and a container restart. Only a full recreate clears that cache, and recreating this container costs an hour of missing tab bar and i18n before it heals itself. Adding `#background` to the canvas reset is deterministic and immediate, and it also keeps the canvas correct if the setting is ever re-added by accident. The existing selector missed it: the DOM is body > div#__next > div#background, so `body > div` matched the Next.js root, not the wallpaper layer. Verified live rather than locally: the served page now reports no background image, with all three canonical faces loaded and the group eyebrows rendering as JetBrains Mono in Australis cyan. |
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b271db1f44 |
feat(homepage): rebuild the theme on canonical Australis tokens
The predecessor theme was ugly for two structural reasons, not one. It did not use the design system's colours. It built a parallel OKLCH palette "derived from the Australis philosophy" and swapped the canonical typeface for Supreme -- a fork, not a theme. Every hex here is now copied verbatim from ~/.claude/skills/australis-design/colors_and_type.css, and build.py re-checks all 19 against that file at build time and warns on drift so it cannot quietly fork again. Type is the canonical stack: Space Grotesk / Inter / JetBrains Mono, vendored as latin-subset VARIABLE woff2 (one file per family, 102 KB total against 56 KB for three static Supreme cuts, and no Google Fonts request at page load). It also carried a generated full-bleed aurora image behind the entire dashboard. Canon forbids exactly that -- "solid fills only on chrome, no full-bleed photography, no decorative gradients", and the aurora motif "never as a background fill behind text". The predecessor knew, said so in its own header, and dialled the opacity down rather than dropping it. The image is gone; the aurora survives as a 1px accent edge under the tab bar, which is where canon sanctions it. The asset stays in images/ in case it is ever revisited. Direction is instrument panel. Group headings become the Australis mono eyebrow with a hairline to the right edge -- canon calls the eyebrow a system signature, and it turns the groups into register bands instead of headings floating over a grid. Status stops shouting: the filled emerald chips read louder than the service names they annotated, so they are now a semantic dot plus a mono micro-label at tertiary contrast. Cards are bordered and opaque, per canon's border-over-shadow rule for chrome. Alignment, per operator feedback that pills and cards did not line up: - The status cluster is centred on the service name's line rather than parked in the card's top-right corner, where Homepage's `absolute top-0` left it floating ~7px above the title's optical centre. The offsets reconstruct the title line box and are documented as moving together. - Descriptions get a two-line minimum, so the common one-line/two-line mix bottom-aligns across a row. This is what made the grid look ragged. useEqualHeights stays false: it inflated short cards to match a widget card twice their height, which was the worse failure. - The status dot is flex-centred rather than nudged with vertical-align, so it stays centred if the type scale changes. Retires the Skyfall sources and the Supreme faces; theme/ now has one source of truth. |
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059f963118 |
docs(waterland-studio): note why an adopted job shows as failed
waterland-dev confirmed the mechanism: adoption marks a job failed on a sidecar saying running/queued, or on a directory with no plate.png. The pre-header-fix renders died 1.7s in with a source and no plate, so they land in the second branch. Recorded so nobody investigates adopted history as a live fault. |
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e6907819b0 |
feat(waterland-studio): deploy b72425b — all three upstream findings fixed
One update.sh run on irv-ml1 carried both open upstream PRs, per the operator's green-light on the job-store fix: - #5 (464dfc2) declares cupy-cuda12x[ctk] on the gpu extra and takes uv out of the render path (sys.executable -m waterland.cli), retiring the runtime prune trap at the source. - #6 (b72425b) rehydrates the job index from the data volume at startup, fixing the unbounded store growth reported from this side. Verified after the update rather than assumed: healthy on backend cupy; /api/jobs went 1 -> 16 against 16 directories on disk, so API and volume agree for the first time; nothing wrongly reclaimed, correct since 16 is under RETAIN=40 and adoption only makes them visible; a real 256^2 plate render completes warm, so the kernel-cache volume survived the image swap. A subsequent render took both counts to 17. The image keeps its explicit [ctk] install and UV_NO_SYNC/UV_OFFLINE pins even though both are now redundant. The header requirement is a property of this slim base, not of the upstream extra, and the cost is measured rather than assumed: uv sync satisfies it first, so the line reports "Audited 1 package" and adds 0.3s to the build. The env pins are now cheap defence-in-depth against any future path that re-enters uv. Docs corrected in place: the README's upstream-finding section is now a resolved-finding record, and the two "bounded ~500 MB" claims say which commit made that bound hold across restarts rather than only within a process. Comment-side changes pushed to the live compose dir; no restart was needed for them. |
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b8003c73ae |
feat(dns): fleet .internal naming — git-sourced, agent-managed, three resolvers
Names for fleet hosts so addresses stop needing to be memorised. Built because IPv6 makes that hopeless — and, more to the point, because v6 addresses are derived rather than assigned, so they cannot reliably be written down once and trusted either. dns/internal.yaml source of truth: 38 hosts + 4 service aliases scripts/dns-sync.py reconciles AdGuard resolvers against it stacks/adguard-ana/ the colo's resolver, which did not exist Naming is <host>.<site>.internal with sites ana/esh/nh3 (operator's call). .internal is ICANN-reserved for this; .local is reserved for mDNS, which is why searxng.pfi.local was a collision that merely happened to work. Same posture as deploy-stack.sh: file is intent, resolvers are derived state, you see a diff before anything changes. Every name is published to every resolver, so the site label says where a host IS, not who knows about it. Two properties that matter: - Authority is scoped to the ZONE, not the resolver. ESH carries hand-made esteban.net rewrites predating this; they are read, ignored and preserved. Resolver-wide authority would have silently deleted them. - Within .internal it IS authoritative, so UI-added names get removed. That is the point — one place to look. Colo gap closed: ana-docker had no resolver at all (hosts went straight to 1.1.1.1). Its AdGuard runs API on 8053 because 8080/3000 were taken, so the port is carried per-site in the yaml rather than assumed by the script. It ships with no blocklists — a false positive on a server network breaks service-to-service calls for no upside. Auth is a dedicated infra-ops AdGuard user, not the operator's account, password vaulted at nh3-dev/adguard-infra-ops-password. Pre-change configs backed up on each resolver. Both resolvers stayed answering across the restart. searxng.pfi.local -> searxng.ana.internal, with the old Host() kept alongside so nothing breaks mid-migration. matrix.pfi.local deliberately NOT migrated: a Matrix server_name is baked into every user id, room id and signing key, so renaming it rebuilds the homeserver's identity rather than changing a DNS name. The v6 column is empty and correct — no fleet host has a global v6 address yet. The file documents why addresses must be pinned statically before they go in, since a record that silently stops matching is worse than no record. |
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8189076daf |
docs(waterland-studio): claude-bot read grant wired, and an upstream store-growth finding
Operator granted claude-bot read on vh/waterland; verified scoped correctly (admin false, push false, pull true). Token is on irv-ml1 at /root/.config/waterland-studio/git-credentials, 0600 root-owned, wired as a REPO-SCOPED credential helper rather than a global one, and .git/config holds no token so the remote stays clean in any diff or backup. The vh site-admin token was used only for the initial clone and the grant itself and was never written to disk on that host. update.sh now runs end to end: fetch, rebuild, recreate, health. Verified the kernel-cache volume survives a recreate (warm 256^2+anim render 6.6s straight after) and the job store survives with all 16 directories intact. Records an upstream finding surfaced by that check: JobStore._jobs is memory-only and nothing scans the data dir at startup, so after a restart the API lists only new jobs while old ones persist on disk — cosmetic — but the RETAIN=40 eviction only sees in-memory jobs, so restart-orphaned directories are never reclaimed. The handover's ~500 MB bound holds per process lifetime, not across restarts. Reported to waterland-dev; upstream's call to fix. |
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a2b5b58eee |
feat(waterland-studio): containerise the GPU render service on irv-ml1
Replaces a bare nohup on irv-ml1:8410 that would not have survived a reboot, handed over by waterland-dev. Tracks vh/waterland @ main (PR #4 merged; main HEAD is exactly the pinned 8025366). Build context is a checkout at /opt/waterland-studio/src, deliberately OUTSIDE the compose dir — deploy-stack.sh rsyncs stacks/<stack>/ with --delete and would otherwise eat it. The Dockerfile is passed out-of-context. Three landmines, all measured: 1. Both uv extras are load-bearing at build AND run. jobs.py shells the renderer out as a literal with no --extra flags, so uv would re-sync at runtime and prune cupy — silently dropping to the numpy path at ~21x wall time. UV_NO_SYNC pins it; UV_OFFLINE makes any failure loud instead of quietly slow. 2. cupy needs CUDA HEADERS for its NVRTC compile, not just the driver and the wheel's runtime libs. The host has a system CUDA toolkit so the nohup process found them by accident; a slim image does not, and every render died 1.7s in with 'Failed to find CUDA headers' printed through argparse's usage banner — which reads like a CLI bug, not a missing toolkit. Fixed with cupy-cuda12x[ctk] (hundreds of MB, vs ~6 GB for a -devel base). 3. The A6000 is host device 1 but container device 0, since compose exposes exactly one GPU. CUDA_VISIBLE_DEVICES_TARGET=0 inside; copying the host's value selects a device that does not exist. /root/.cupy is a volume because the NVRTC compile costs ~17s: verified at 23.3s cold vs 6.1s warm, and re-verified across a restart (23.2s on a fresh cache volume, 6.0s once populated). Warm 256^2+anim beats the 7.4s recorded against bare metal, so containerising cost nothing. Job store seeded with the 4 jobs from the displaced instance. Serial by design (one replica, one card) and unauthenticated, so it stays LAN/WireGuard-only. |
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df68dd2753 |
style(homepage): tone the stat values down, run the aurora through the page
Two operator corrections in one pass. Stat values overshot: the previous commit took them from font-thin 13px to bold 22px in heading white, which went from whisper to shout. A stat only has to out-rank its own label, not the service name above it — now --text-md at medium weight in cyan, which clears the label but sits below the card title where it belongs. Colour lift, staying inside the system rather than around it: Skyfall names Aurora (blue, cyan, green) the PRIMARY families, 'used generously, in that order', while Dawn (amber, red, violet) is semantic-only. So group markers now cycle blue -> cyan -> green down the page — icons at full strength, names at 0.72 — service icons take a single cool wash, header resource icons go cyan, and latency tags move to the info family so 'how fast' stops looking like 'is it alive'. No Dawn colour is used decoratively anywhere. Also fixes selectors that never bound: Homepage emits docker-status-<state>, not status-<state>, so the green pills up to now were stock colouring rather than this file. Both forms are matched and the trap is commented. README records the iteration loop that would have caught the overshoot: CSS is served per-request, so it needs a reload, not a recreate and not the layout warm-up — and candidate CSS can be injected into the live page for a seconds-long feedback loop instead of a 10-minute one. |
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f38cf69fe4 |
fix(homepage): invert the widget stat hierarchy — numbers lead, labels recede
Stock Homepage builds each stat as a font-thin (weight 100) 13px value above a font-bold 12px uppercase label, so the number you actually came to read is the quietest thing in the card while its label shouts. Skyfall's rule is that hierarchy comes emphatically from weight AND size, and that numbers are data. Value now renders at --text-xl bold in tabular mono at --text-heading; label drops to a --text-2xs tracked eyebrow at --text-faint. The well itself moves to --surface-input, one step DOWN from the card it sits on, so stats read as inset data rather than as another floating surface — a recess, so it takes the hairline without the shadow. Also drops .service-block from the generic .service-tag rule, which was what pinned every number to --text-2xs in the first place. Visible on Plex, Jellyfin, PaperlessNGX and Uptime Kuma. |
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vh
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dc3e47b3a2 |
feat(heretic2-charrp-reasoning): track the NVFP4+MTP reasoning seat
The char-rp-reasoning seat on ana-ml2 GPU0 — NEO-CODE Heretic2 27B at modelopt NVFP4 with a grafted BF16 MTP head, ~77 tok/s via qwen3_5_mtp spec-decode, replacing the retired GGUF seat. It had been running untracked. Includes conf/mtp-workaround/sitecustomize.py, which is not optional: vLLM 0.24.0 does not propagate modelopt exclude_modules to the spec-decode DRAFT model, so the BF16 MTP head gets quantized and the engine dies at load. The shim force-skips mtp.* in is_layer_skipped. Both the mount and PYTHONPATH are load-bearing. Adds the two files house convention expects and the directory lacked: a .env.example naming every knob (all values are the compose defaults; the live host overrides only the three VRAM ones) and a README that points at docs/runbooks/heretic2-nvfp4-mtp-seat.md rather than duplicating it. No secrets: API_KEY is empty by default and the real .env stays on the host. |
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45c1995d7a |
feat(homepage): Australis Skyfall theme + Arbo-generated aurora background
Replaces the previous theme attempt, which was built on a misread: the ask was to use Arbo as an IMAGE-GEN ENGINE for the background, with the operator's Australis Skyfall design system supplying the palette. theme/ holds the source — colors/layout/typography vendored verbatim from the Skyfall handoff bundle, Supreme 400/500/700 woff2, the Homepage bindings in skyfall.css.in, and build.py which inlines fonts + tokens into conf/custom.css. custom.css is GENERATED; edit the .in file and rebuild. The build exists because Homepage serves only custom.css and custom.js out of its config dir, so a @font-face pointing at a vendored woff2 would 404 — the face has to arrive as a data: URI. The background image takes the other route: /app/public/images is a real static route, so compose.yaml now mounts images/ there read-only and settings.yaml points at /images/. Bindings map Skyfall's semantic layer onto Homepage's DOM: Sea surfaces, the depth recipe (hairline AND two-layer shadow, never one alone), uppercase eyebrow group headers, the sanctioned accent-rail on the active tab rather than a glow, and semantic status colour so a green pill means the service is actually serving. Background generated by Arbo (irv-ml1:8201) workflow t2i-ui-background, job 13f0891f4e42, seed 26, flux2-klein-9b, 2048x1152 — abstract, no subject, cool-temperature aurora. 1.6 MB PNG -> 22 KB WebP. Two deviations are documented rather than hidden: Skyfall forbids imagery behind body text (held at opacity 30 as mitigation), and service icons stay full-colour vendor logos. NOT DEPLOYED — live still runs the old theme. Prototype on :5199. |