atlasbot: prefer fact fallback for quantitative prompts
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19b52ac5e3
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@ -3854,6 +3854,18 @@ def _fallback_fact_answer(prompt: str, context: str) -> str:
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return sentence
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def _is_quantitative_prompt(prompt: str) -> bool:
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q = normalize_query(prompt)
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if not q:
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return False
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tokens = set(_tokens(prompt))
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if "how many" in q or "count" in tokens or "total" in tokens:
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return True
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if tokens & {"highest", "lowest", "hottest", "most", "least"}:
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return True
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return False
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def _open_ended_fast_single(
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prompt: str,
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*,
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@ -3880,10 +3892,9 @@ def _open_ended_fast_single(
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system_override=_open_ended_system(),
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model=model,
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)
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if not _has_body_lines(reply):
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fallback = _fallback_fact_answer(prompt, context)
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if fallback:
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reply = fallback
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fallback = _fallback_fact_answer(prompt, context)
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if fallback and (_is_quantitative_prompt(prompt) or not _has_body_lines(reply)):
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reply = fallback
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if state:
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state.update("done", step=_open_ended_total_steps("fast"))
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return _ensure_scores(reply)
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