Integrate Meilisearch + Redis deeply for cache, locks, searchable decisions/insights, and health telemetry

app.py

@@ -6,7 +6,7 @@ from datetime import datetime, timedelta
 import threading
 from db import init_db, SessionLocal, BotDecision, TradeExecution, CuratedInsight
 from bot import start_scheduler, run_cycle, curate_cycle
-from services import account_snapshot, qdrant_memory_health
+from services import account_snapshot, qdrant_memory_health, meili_health, meili_search
 
 app = FastAPI(title="alpaca-llm-bot-v1")
 templates = Jinja2Templates(directory="templates")
@@ -34,6 +34,10 @@ def curate_now():
 def api_account():
     return JSONResponse(account_snapshot())
 
+@app.get('/api/search')
+def api_search(q: str, index: str = 'decisions', limit: int = 20):
+    return JSONResponse(meili_search(index, q, limit))
+
 @app.get("/api/metrics")
 def api_metrics(hours: int = 72):
     db = SessionLocal()
@@ -95,6 +99,7 @@ def api_metrics(hours: int = 72):
             },
             "leaderboard": leaderboard,
             "qdrant": qdrant_memory_health(),
+            "meili": meili_health(),
         }
     finally:
         db.close()