Re-measure the router on a quiet box and record the numbers

The earlier before/after was taken while another eval shared
llama-server. This run had the box to itself.

Intent accuracy 61.8% llm-only, 63.2% cascade, 67.1% with thinking off.
The prompt fix holds. note→fact shows up here too, so it is real.

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

ROUTING-EVAL-31-07-2026.md

@@ -40,6 +40,41 @@ model → classifier as failure floor.
 
 Never compare a hash-embedder run to an ONNX one.
 
+## Re-measured after the prompt fix
+
+The table above is the **baseline at commit `46259b4`**, kept as-is. The prompt fix (query
+tested before fact, plus `repeat_penalty` and a bounded grammar string) was then measured on
+an otherwise idle box — no other eval sharing llama-server, so these latencies are real
+rather than contention.
+
+| | llm-only (0.8B) | cascade+llm (0.8B) | llm-only, thinking off |
+|---|---|---|---|
+| **intent-only accuracy** | 48.7% → **61.8%** | 50.0% → **63.2%** | **67.1%** |
+| full accuracy (intent+slots+gate) | 23.7% → **38.2%** | 32.9% → **47.4%** | **42.1%** |
+| route errors | 2 → **0** | 0 → 0 | **0** |
+| p50 / p95 latency | **1.08s / 1.55s** | **1.04s / 1.53s** | **0.93s / 1.41s** |
+
+Three things this run settles:
+
+1. **The prompt fix holds.** An earlier contended run reported 60.5% / 36.8% for llm-only;
+   the quiet run gives 61.8% / 38.2%. Close enough to call the gain real, and the earlier
+   run's 4-5s latency figures were contention, not the model.
+2. **`query→fact` fell from ×15 to ×7**, and both unparseable replies are gone. Zero route
+   errors in every LLM configuration.
+3. **`note→fact ×4` is real, not noise.** It shows up in the quiet run too. The agent that
+   wrote the prompt fix suspected its own change might have caused it by pulling assertive
+   `запиши что…` phrasings toward fact, and that suspicion stands — all five `ru-note-*`
+   cases now land on fact. Tracked as Vikunja #375.
+
+**Thinking off is the best configuration measured so far**, on both accuracy and latency
+(Vikunja #376). That is worth understanding before flipping: routing is a short
+classification into a fixed enum with grammar-constrained output, so there is little to
+reason about, and the thinking trace mostly gives a small model room to talk itself out of
+the right answer. Phrasing is a different job and needs measuring separately.
+
+Still `6 / 6` missed clarify — the router has no way to say "I don't know" (Vikunja #359).
+That is unchanged by anything here.
+
 ## Findings
 
 ### 1. The resident model does route better — 50.0% vs 36.8%