add ollama bagcround run and cache

src/fgai/cli.py

@@ -192,6 +192,10 @@ def run_monitor(args: argparse.Namespace) -> int:
         policy_path=args.policies,
         interval=args.interval,
         anomaly_limit=args.anomaly_limit,
+        llm=args.llm,
+        llm_interval=args.llm_interval,
+        llm_model=args.model,
+        llm_timeout=args.llm_timeout,
     )
     return 0
 
@@ -272,6 +276,10 @@ def build_parser() -> argparse.ArgumentParser:
     monitor.add_argument("--policies", default=None, help="Optional FortiGate policy JSON/config file to audit continuously")
     monitor.add_argument("--interval", type=int, default=10, help="Seconds between analysis runs")
     monitor.add_argument("--anomaly-limit", type=int, default=20, help="Maximum anomaly findings to include")
+    monitor.add_argument("--llm", action="store_true", help="Generate cached Ollama analyst note for dashboard")
+    monitor.add_argument("--llm-interval", type=int, default=300, help="Seconds between Ollama dashboard assessments")
+    monitor.add_argument("--model", default=None, help="Ollama model name")
+    monitor.add_argument("--llm-timeout", type=int, default=None, help="Ollama request timeout in seconds")
     monitor.set_defaults(func=run_monitor)
 
     dashboard = subparsers.add_parser("dashboard", help="Serve local fgAI dashboard")