Merge remote-tracking branch 'origin/master' into task/486-deploy-the-workstation-transcriber

This commit is contained in:
2026-08-09 01:22:03 +04:00
27 changed files with 1411 additions and 32 deletions
+30 -3
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@@ -343,9 +343,36 @@ the possessive agenda rules claim those cases at stage 0 and name nothing, so no
label reaches the head. That is the same trade V-660 flagged and it wants the
owner's call.
**Nothing of this runs in Go.** The weights are `heads.pt` and `out/body_heads/`
on workpc. Reaching the daemon needs an ONNX export and a caller. The resident
e5-small must not be replaced by the copy, because recall depends on that file.
**The heads run in Go and route every turn, since 08-08-2026** (V-664,
`docs/evals/2026-08-08-routing-heads-in-go.md`). This section used to say
nothing of it ran. `RouterHeads` in `internal/router/heads.go` loads
`router_heads.onnx` and reads intent, destination and clarify off one forward
pass. It is stage 0b: after the grammars, **before** the resident model, and the
classifier is still behind both. Through the cascade it scores intent **96.9%**
and destination **75.8%** at p50 27.9ms. That beats the gemma-4-12b cascade,
84.4% and 72.7%, at a twelfth of its 329ms. The workstation stays the better
phraser and is no longer the better router.
Three rules around it. The **clarify head decides first**, before the intent
threshold. It answers a different question. A thin utterance scores low
intent by construction, so gating it cost 6 of 8 ambiguous cases. The
**destination head is read on `IntentQuery` only**, since no other intent
reaches `queryWalk`. And `headsThreshold` is 0.6, the measured knee: every value
to 0.85 drops right answers and keeps the same two wrong ones.
`voice.embedder.heads_path` is the whole switch. Empty, missing or unloadable
means the heads are nil and the cascade is byte-for-byte what shipped before
them. **It must never be pointed at `model_path`.** The resident e5-small must
not be replaced by the fine-tuned copy. Recall depends on that file scoring
what it scored.
**The hand-written tokenizer read every long word backwards** until this task
(`encodeWord`, `onnxembedder.go`). It cost recall@1 7.4 points and recall@3 11.1.
Nothing caught it because seeds and queries were mangled the same way, so cosine
survived. The heads found it. They are trained through transformers and read
through this. The embedder id now carries a tokenizer revision
(`@384/tok2`), so fixing the tokenizer triggers `ReembedAll` the way swapping the
model file does. Bump `tokenizerRev` on any change to what it emits.
`Confidence: 1.0` used to be hardcoded in `llmrouter.go`, so the LLM
path could never ask for clarification (6/6 refusal cases missed on the fixture) — Vikunja