DeepSeek V4-Flash news enrichment: LLM sentiment, surprise direction, summary

Three display/warning-only upgrades to the news engine, all behind the
existing keyword path as fallback — signals are never gated on LLM
output (event_risk_caps_signals / sentiment_affects_signals stay False
per the 2026-07 audit; backtester use_news=False untouched):

- Headline sentiment: one batched call per 600s cache window (capped at
  25 new headlines, sha1-cached so repeats are never re-sent) overrides
  the keyword scores per currency with the gold-inverse doctrine encoded
  in the prompt.
- Release surprises: get_event_risk_level's description now says which
  way the print pulls GOLD ("— gold bearish: strong jobs lift yields"),
  fixing the documented numeric-only gap; risk level and windows
  unchanged.
- Market summary: 1-2 sentence macro blurb on SignalReport.news_summary,
  rendered in Telegram alerts (📰) and the CLI (🧠).

New llm_client.py: requests-only OpenAI-compatible client (no SDK), one
attempt per call, UTC-day request cap, singleton so the cap survives
per-scan NewsEngine reconstruction. Config: deepseek block in
config.json + DEEPSEEK_API_KEY env; absent key = fully inert.

Live-measured API behavior baked in: V4-Flash is a hybrid thinking model
— requests send thinking:disabled (reasoning otherwise blew the timeout
and could exhaust max_tokens before the answer); prompts are static
module constants so DeepSeek's prefix cache prices repeat calls at the
cache-hit rate; scores use compact [s, xau] pairs; timeout 12s.

Tests 273 → 286 (new Module 19 + deepseek config tests).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Nsd8HcrV67GbCZXxZEn1Ma

signal_aggregator.py

@@ -79,6 +79,7 @@ class SignalReport:
     event_description: str = ""
     news_sentiment: float = 0.0
     news_description: str = ""
+    news_summary: str = ""  # LLM market-context blurb (display-only)
 
     final_signal: SignalStrength = SignalStrength.NEUTRAL
     final_score: float = 0.0
@@ -832,11 +833,13 @@ class SignalAggregator:
             sentiment, sent_desc = news.get_pair_sentiment(symbol, context)
             report.news_sentiment = sentiment
             report.news_description = sent_desc
+            report.news_summary = context.llm_summary
         else:
             report.event_risk = "clear"
             report.event_description = ""
             report.news_sentiment = 0.0
             report.news_description = ""
+            report.news_summary = ""
 
         # ── 5. Spread estimate from primary data (avoids extra API call) ─
         try: