Local news model: ML-NEWS XAU transformer scores headlines (news_model.py, mode primary)

The owner's DeBERTa-v3-small two-head ONNX model (golden set 72/78, ~72%
agreement with DeepSeek on unseen days) replaces DeepSeek for headline
scoring. DeepSeek keeps event direction, the summary and the dashboard
endpoint.

- news_model.py: vendored ML-NEWS runtime (lazy onnxruntime/tokenizers,
  so the bot starts without them) + load-once, never-raising singleton.
- news_engine: _enrich_headline_scores mode switch (off/fallback/primary),
  _apply_model_sentiment (gold head only: xau_score + XAU entry, never
  USD; not-relevant shows 0.0; never touches _llm_sent_cache),
  _audit_with_deepseek (archive-only labels, deepseek_audit_per_day).
- Owner decision: primary mode writes nothing to logs/newsdata.db except
  audit copies — the model's output is not training data.
- app_config: news_model section (path/threads/mode/deepseek_audit_per_day)
  + NEWS_MODEL_MODE env override; validated at boot.
- news_archive: model rows carry teacher_model xau_transformer@<trained_at>.
- deploy/README-news-model.md (ops for bot + dashboard daemon), unit gets a
  commented NEWS_MODEL_MODE=off line; requirements + onnxruntime, tokenizers.
- test_all.py Module 38 (15 tests, one against the real bundle). Suite 581.
- CLAUDE.md, spec status note, handoff marked implemented.

Books unaffected: news never enters signals; no signal file touched.

deploy/README-dashboard.md

@@ -19,7 +19,9 @@ git pull
 venv/bin/python test_all.py        # optional sanity: suite must be green
 ```
 
-No new Python dependencies are required.
+Two optional Python packages (`onnxruntime`, `tokenizers`) arrive with the local news model;
+`venv/bin/pip install -r requirements.txt` after the pull. See `deploy/README-news-model.md`,
+which also says when to keep this daemon on DeepSeek (`NEWS_MODEL_MODE=off` in the unit).
 
 ## 2. Make the web folder writable