From 67488a88981bfb707e12249aff06ad07a6ff5270 Mon Sep 17 00:00:00 2001
From: Brad Stein <Brad.Stein@gmail.com>
Date: Sun, 1 Feb 2026 17:47:39 -0300
Subject: [PATCH] atlasbot: use hardware usage facts for hardware questions

---
 atlasbot/engine/answerer.py | 22 ++++++++++++++++++++--
 1 file changed, 20 insertions(+), 2 deletions(-)

diff --git a/atlasbot/engine/answerer.py b/atlasbot/engine/answerer.py
index 49f8ec0..6682660 100644
--- a/atlasbot/engine/answerer.py
+++ b/atlasbot/engine/answerer.py
@@ -267,11 +267,15 @@ class AnswerEngine:
                 selected = _select_chunks(chunks, scored, plan, keyword_tokens)
                 key_facts = _key_fact_lines(summary_lines, keyword_tokens)
                 hottest_facts = _extract_hottest_facts(summary_lines, f"{question} {normalized}")
+                hardware_facts = _extract_hardware_usage_facts(summary_lines, f"{question} {normalized}")
                 metric_facts = [line for line in key_facts if re.search(r"\d", line)]
-                if hottest_facts:
+                if hardware_facts:
+                    metric_facts = hardware_facts
+                    key_facts = _merge_fact_lines(metric_facts, key_facts)
+                if hottest_facts and not hardware_facts:
                     metric_facts = hottest_facts
                     key_facts = _merge_fact_lines(metric_facts, key_facts)
-                if classify.get("question_type") in {"metric", "diagnostic"} and not hottest_facts:
+                if classify.get("question_type") in {"metric", "diagnostic"} and not hottest_facts and not hardware_facts:
                     metric_candidates = _metric_candidate_lines(summary_lines, keyword_tokens)
                     selected_facts = await _select_metric_facts(call_llm, normalized, metric_candidates, plan)
                     if selected_facts:
@@ -1047,6 +1051,20 @@ def _extract_hottest_facts(lines: list[str], question: str) -> list[str]:
     return [fact for fact in facts if any(label in fact for label in wanted)] or facts
 
 
+def _extract_hardware_usage_facts(lines: list[str], question: str) -> list[str]:
+    if not lines:
+        return []
+    lowered = question.lower()
+    if "hardware" not in lowered:
+        return []
+    if not any(term in lowered for term in ("average", "avg", "mean", "load", "cpu", "ram", "memory")):
+        return []
+    for line in lines:
+        if line.startswith("hardware_usage_avg:"):
+            return [line]
+    return []
+
+
 def _metric_candidate_lines(lines: list[str], keywords: list[str] | None, limit: int = 40) -> list[str]:
     if not lines:
         return []