atlasbot: treat hottest queries as metrics
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@ -229,6 +229,11 @@ class AnswerEngine:
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classify["needs_snapshot"] = True
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classify["needs_snapshot"] = True
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if re.search(r"\b(how many|count|number of|list)\b", normalized.lower()):
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if re.search(r"\b(how many|count|number of|list)\b", normalized.lower()):
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classify["question_type"] = "metric"
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classify["question_type"] = "metric"
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hottest_terms = ("hottest", "highest", "lowest", "most")
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metric_terms = ("cpu", "ram", "memory", "net", "network", "io", "disk", "load", "usage")
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lowered_question = normalized.lower()
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if any(term in lowered_question for term in hottest_terms) and any(term in lowered_question for term in metric_terms):
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classify["question_type"] = "metric"
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if classify.get("follow_up") and state and state.claims:
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if classify.get("follow_up") and state and state.claims:
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if observer:
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if observer:
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@ -24,6 +24,7 @@ ROUTE_SYSTEM = (
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+ " Route the question to the best sources and answer style. "
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+ " Route the question to the best sources and answer style. "
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+ "Assume questions are about the Titan Lab Atlas Kubernetes cluster unless the user explicitly asks about something else. "
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+ "Assume questions are about the Titan Lab Atlas Kubernetes cluster unless the user explicitly asks about something else. "
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+ "Prefer snapshot evidence when available. "
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+ "Prefer snapshot evidence when available. "
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+ "If the question asks for hottest/highest/lowest CPU/RAM/NET/IO/Disk nodes, mark it as a metric question and require snapshot evidence. "
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+ "Return JSON only."
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+ "Return JSON only."
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)
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)
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