Stop the docs claiming the LLM router is off

CLAUDE.md's routing section said "llmrouter is wired nil" and called the
classifier cascade the committed default. That stopped being true when the
integration merge landed: voice.go:214 wires pickLLMRouter, DefaultLLMRouter is
on, and deploy/mavend.json sets llm_router true. It is the first thing anyone
reads before touching the router, so it was pointing the next reader at a
wiring job that is already done.

Rewritten to say the LLM router is the default, the classifier is the failure
floor and must not be deleted, and what the two actually measure — 36.8% at
p50 31ms against 67.5%/72.7% at p50 ~2.7s, a trade accepted on purpose. Names
the one thing still open on that path: Confidence is hardcoded 1.0 in
llmrouter.go, so the LLM never asks for clarification (#359).

Also in CLAUDE.md: the persona line pointed at a memory file that does not
exist, so the actual rule was nowhere in the repo. Written out instead —
feminine self-reference, informal singular address, pet names forbidden but his
name allowed — plus the three eval checks that enforce it.

MODEL-BAKEOFF: three claims had gone stale within hours of being written. There
IS a make eval-models target now; the routing numbers ARE the production path,
not a bench artifact waiting on a wiring change; and the truncated 293 MB gguf
is deleted. Struck through rather than removed, since the caveats are part of
how the evening read at the time.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ

CLAUDE.md

@@ -69,19 +69,30 @@ protocol; the config in `deploy/mavend.json` (with `${VAR}` env expansion from g
 
 ## Routing — read this before touching the router
 
-`internal/router/` has TWO layered engines and the committed default is an **interim
-stopgap, not the intended design** (see memory `routing-architecture-target`):
+`internal/router/` has TWO layered engines. **The LLM router is now the default and it is
+on in deploy** — this section used to say it was wired `nil`, which stopped being true on
+2026-07-31.
 
-- **Target (REARCH.md):** LLM-as-router. One resident Qwen3-1.7B (`llmrouter.go`) emits
-  GBNF-constrained structured JSON, and the SAME model phrases replies. Embedder is demoted
-  from a routing gate to a RAG hint.
-- **Current stopgap:** `llmrouter` is wired `nil` (around `voice.go`), so the
-  `classifier.go` + `embedder.go` nearest-neighbour cascade actually runs. It routes by
-  similarity to frozen seed phrases — the known cause of weak RU query handling.
+- **LLM router (the intended design, REARCH.md):** the resident Qwen3-1.7B (`llmrouter.go`)
+  emits GBNF-constrained structured JSON, and the SAME model phrases replies. Embedder is
+  demoted from a routing gate to a RAG hint. Wired at `voice.go:214` via
+  `pickLLMRouter(cfg.Voice.UseLLMRouter(), llmClient)`; the flag is `voice.llm_router`
+  (`config.go`), `DefaultLLMRouter` is **on**, and `deploy/mavend.json` sets it `true`.
+- **Classifier cascade (the failure floor, not dead code):** `classifier.go` +
+  `embedder.go` nearest-neighbour over frozen seed phrases. It runs when the LLM router is
+  off, when there is no llama-server to talk to (`pickLLMRouter` logs that and degrades),
+  and on any per-turn LLM error. Do not delete it — routing by seed similarity is the known
+  cause of weak RU query handling, but a turn must never break on the model.
 
 Cascade order: `stage0.go` exact-match fast-path → LLM router (when non-nil) → classifier
 fallback. Any LLM error falls through to the classifier so a turn never breaks on the model.
 
+Measured on the 77-case RU fixture (`MODEL-BAKEOFF-31-07-2026.md`): the classifier scores
+36.8% full accuracy at p50 31ms; Qwen3-1.7B scores 67.5% intent-only / 72.7% through the
+cascade at p50 ≈2.7s. Accuracy roughly doubled, latency is ~90× worse, and that trade was
+accepted deliberately. Still open: `Confidence: 1.0` is hardcoded in `llmrouter.go`, so the
+LLM path never asks for clarification (6/6 refusal cases missed) — Vikunja #359.
+
 ## LLM output contract
 
 All phrasing paths emit `{"response":"...","mood":"..."}` (parsed in `replier_llm.go` and
@@ -94,7 +105,11 @@ workspace enforces that the Go and relabelling prompts remain identical.
 ## Non-goals (hard constraints)
 
 Not a nag, not autonomous. Maven's persona is **feminine** — Russian
-self-reference must use feminine forms (the user is male; see memory `maven-persona-gender`).
+self-reference must use feminine forms — `рада`, not `рад`; `поняла`, not `понял`. The owner
+is male and is addressed informally: "ты", singular, never "вы"/"ваш" and never "он"/"его"
+(she talks TO him, not about him). Pet names ("милый", "дорогой") are forbidden; his name
+("Ками") is not. The eval enforces this: `CheckAddress`, `CheckFeminine` and `CheckCringe` in
+`internal/phraser/eval/checks.go`, scored by `make eval-phrasing`.
 
 **"Never phones home" is DEPRECATED** (owner's call, 2026-07-31). It used to be a hard
 constraint and it is not one any more: a 0.8B — and a 1.7B — does not know enough to answer

MODEL-BAKEOFF-31-07-2026.md

@@ -19,7 +19,10 @@ Settles Vikunja **#278 / #250**.
 - Same fixture and scorer as `ROUTING-EVAL-31-07-2026.md`: `internal/router/eval/`
   (`ru_routing_v1.json`, 76 held-out cases).
 - Reproduce: `MAVEN_LLM_URL=http://127.0.0.1:<port> make eval-router`
-  (`TestLLMRouterBaseline`). Note: there is no `make eval-models` target.
+  (`TestLLMRouterBaseline`). (This line used to say there is no `make eval-models` target.
+  There is one now — start a server with the gguf you want, then
+  `make eval-models MAVEN_LLM_URL=http://127.0.0.1:<port>`. It runs only the LLM test, since
+  the classifier baselines do not depend on the model.)
 - All three models served by the same `llama-server` flags — `-c 2048 -ngl 99 -t 6`, only
   `-m` and `--port` differ. One server at a time on an otherwise idle box, so latencies are
   real and not contention.
@@ -207,10 +210,14 @@ swapped again when the CPT lands.
 - Routing is one run per model, not three. The gaps between families are far larger
   than the run-to-run spread seen on the talk fixture, but the 2B-vs-1.7B gap (62.3
   vs 67.5) is not safe to call on one run.
-- The routing numbers only reach production once the LLM router is wired on. It is
-  still `nil`.
-- `/mnt/hdd1/llms/LFM2.5/Qwen3-1.7B-UD-Q4_K_XL.gguf` is a 293 MB truncated download
-  in the wrong directory. The good 1.13 GB copy is in `qwen3/`. Delete the stray one.
+- ~~The routing numbers only reach production once the LLM router is wired on. It is
+  still `nil`.~~ **Resolved the same evening:** the LLM router is wired at `voice.go:214`
+  behind `voice.llm_router`, the default is on, and `deploy/mavend.json` sets it `true`.
+  These numbers are the production path now, so the p50 ≈2.7s is a real per-turn cost and
+  not a bench artifact.
+- ~~`/mnt/hdd1/llms/LFM2.5/Qwen3-1.7B-UD-Q4_K_XL.gguf` is a 293 MB truncated download
+  in the wrong directory.~~ **Deleted 2026-07-31.** The good 1.13 GB copy in `qwen3/` is
+  what `deploy/mavend.json` loads.
 - Harness: `scratchpad/bakeoff.sh`, one server at a time, health-checked before each
   run, `/v1/models` recorded per run. Never run two LLM consumers at once — see the
   contamination note in `TALK-EVAL-31-07-2026.md`.