Log/surface the reason, pin LLM warm for latency, doc insurance rule

- Reason visibility: the reason WAS extracted ("disintegrated eyes") but only
  lived in the Odoo description note. Add it to the post-call log line and to
  the Odoo lead title so it's visible at a glance.
- Latency: split the timing — Whisper is ~0.1s, latency is LLM-side. The ~3s
  tail was cold model reloads after Ollama's keep-alive expired. server.py now
  warms + pins the model on startup (keep_alive=-1, ollama ps UNTIL=Forever),
  removing cold first-turn stalls. Whisper size left alone (not the bottleneck).
- CLAUDE.md: insurance rule (never suggest/guess the plan), latency note.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

server.py

@@ -64,6 +64,27 @@ BUSY_MESSAGE = os.environ.get(
 
 app = FastAPI()
 
+
+@app.on_event("startup")
+async def _warm_llm():
+    """Pin the LLM in VRAM (keep_alive=-1) so the first turn of a call isn't a cold model
+    reload. Cold reloads were adding ~3s of dead air to the first reply; latency is otherwise
+    LLM-side (Whisper STT is ~0.1s). Best-effort — a failure here never blocks startup."""
+    import httpx
+
+    base = os.environ.get("OLLAMA_URL", "http://127.0.0.1:11434/v1").rstrip("/")
+    if base.endswith("/v1"):
+        base = base[:-3]
+    model = os.environ.get("OLLAMA_MODEL", "activeblue-avc:latest")
+    try:
+        async with httpx.AsyncClient(timeout=120) as c:
+            await c.post(f"{base}/api/generate",
+                         json={"model": model, "prompt": "ok", "stream": False, "keep_alive": -1})
+        logger.info(f"Warmed + pinned Ollama model {model} (keep_alive=-1)")
+    except Exception as e:
+        logger.warning(f"LLM warmup failed (first call may be slow): {e!r}")
+
+
 # Live count of active /ws pipelines (the real GPU consumers), guarded by a lock.
 _active_calls = 0
 _active_lock = asyncio.Lock()