add ollama bagcround run and cache

src/fgai/llm.py

@@ -46,3 +46,28 @@ def ollama_summary(
     with request.urlopen(req, timeout=selected_timeout) as response:
         data = json.loads(response.read().decode("utf-8"))
     return str(data.get("response", "")).strip()
+
+
+def ollama_dashboard_assessment(analysis: dict[str, object], model: str | None = None, timeout: int | None = None) -> str:
+    compact = {
+        "summary": analysis.get("summary", {}),
+        "anomaly_summary": analysis.get("anomaly_summary", {}),
+        "top_anomalies": analysis.get("anomalies", [])[:5],
+        "top_recommendations": analysis.get("recommendations", [])[:5],
+        "block_candidates": analysis.get("block_candidates", [])[:5],
+        "policy_findings": analysis.get("policy_findings", [])[:5],
+    }
+    return ollama_summary(
+        [],
+        [],
+        model,
+        analysis={
+            "task": (
+                "Write a concise dashboard analyst note for a FortiGate admin. "
+                "Explain likely cause, whether this looks malicious or noisy, and the next action. "
+                "Mention policyid=0 as implicit deny/drop, not an editable policy."
+            ),
+            "data": compact,
+        },
+        timeout=timeout,
+    )