atlasbot: tighten metric candidates

atlasbot/engine/answerer.py

@@ -982,16 +982,35 @@ def _metric_candidate_lines(lines: list[str], keywords: list[str] | None, limit:
     if not lines:
         return []
     lowered = [kw.lower() for kw in (keywords or []) if kw]
+    metric_tokens = {
+        "cpu",
+        "ram",
+        "memory",
+        "net",
+        "network",
+        "io",
+        "disk",
+        "load",
+        "usage",
+        "utilization",
+        "hottest",
+        "p95",
+        "percent",
+        "pressure",
+    }
     candidates: list[str] = []
     for line in lines:
         line_lower = line.lower()
+        if "hottest:" in line_lower:
+            candidates.append(line)
+            continue
         if lowered and any(kw in line_lower for kw in lowered):
             candidates.append(line)
-        elif re.search(r"\d", line):
+            continue
+        if any(token in line_lower for token in metric_tokens) and re.search(r"\d", line_lower):
             candidates.append(line)
-        if len(candidates) >= limit:
+            continue
-            break
+    return candidates[:limit]
-    return candidates
 
 
 async def _select_metric_facts(

atlasbot/llm/prompts.py

@@ -215,6 +215,7 @@ FACT_SELECT_SYSTEM = (
 
 FACT_SELECT_PROMPT = (
     "Pick up to {max_lines} lines from Candidates that best answer the question. "
+    "If the question asks for highest/hottest and Candidates include a line starting with 'hottest:', prefer that line. "
     "Return JSON with field: lines (list of strings). If none apply, return {\"lines\": []}."
 )