Soften the tone of the docs and comments written today
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@@ -142,6 +142,84 @@ def test_drug_attribute_without_an_attribute_does_not_fall_into_overview_retriev
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assert retrieval.calls == []
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# --- the pediatric dosing gate. This code path gained its first test
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# coverage on 2026-08-11, after driving production reproduced the same
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# behaviour 5/5: the clarify question asked for both age and weight every
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# time, including the field the user had just supplied ("Bé 18 ký ...",
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# "Bé nặng 18 kg ...", "Trẻ 5 tuổi ..." all received "Bé bao nhiêu tuổi và
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# cân nặng bao nhiêu kg?"). Requiring BOTH fields is deliberate and stays —
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# the formulary bands paracetamol by age *and* by mg/kg — so these tests pin
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# the question text without loosening the requirement. --
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def _pediatric_agent(**frame_kwargs) -> RagAgent:
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return _agent(QueryFrame(
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turn_type="dosing_calc",
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drugs=("paracetamol_acetaminophen",),
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population="tre_em",
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**frame_kwargs,
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))
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def test_pediatric_gate_with_a_known_weight_asks_only_for_the_age():
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reply = _pediatric_agent(weight_kg=18.0).handle("bé 18 ký sốt cao uống paracetamol liều bao nhiêu")
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assert reply.decision == "clarify"
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assert reply.reason == "missing_pediatric_age_or_weight"
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assert "tuổi" in reply.clarification
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# The weight is echoed back so the user can see it was received (and
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# catch a mis-parse), but is never asked for again.
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assert "18 kg" in reply.clarification
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assert "bao nhiêu kg" not in reply.clarification
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def test_pediatric_gate_with_a_known_age_asks_only_for_the_weight():
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reply = _pediatric_agent(age_text="5 tuổi").handle("trẻ 5 tuổi sốt cao uống paracetamol liều bao nhiêu")
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assert reply.decision == "clarify"
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assert "kg" in reply.clarification
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assert "bao nhiêu tuổi" not in reply.clarification
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def test_pediatric_gate_with_neither_field_still_asks_for_both():
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reply = _pediatric_agent().handle("liều paracetamol cho trẻ em")
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assert reply.decision == "clarify"
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assert "tuổi" in reply.clarification
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assert "kg" in reply.clarification
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def test_pediatric_gate_still_requires_both_fields_before_answering():
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"""The safety property, asserted directly: knowing only one of the two
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must NOT be treated as enough to pick a regimen. Both single-field cases
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above stop at `clarify` — this states the invariant so a future change
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that "helpfully" answers with weight alone fails here loudly."""
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for kwargs in ({"weight_kg": 18.0}, {"age_text": "5 tuổi"}, {}):
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reply = _pediatric_agent(**kwargs).handle("liều paracetamol cho bé")
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assert reply.decision == "clarify", kwargs
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assert reply.reason == "missing_pediatric_age_or_weight", kwargs
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def test_a_whole_number_weight_is_not_echoed_with_a_trailing_zero():
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reply = _pediatric_agent(weight_kg=18.0).handle("liều paracetamol cho bé 18 ký")
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assert "18 kg" in reply.clarification
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assert "18.0" not in reply.clarification
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def test_the_models_own_clarify_question_still_wins_over_the_generated_one():
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"""Unchanged precedence: when understanding.py produced a question of its
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own it is still preferred, because it can see phrasing/context this
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code-level fallback cannot."""
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reply = _pediatric_agent(
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weight_kg=18.0,
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needs_clarify=True,
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clarify_reason="Bé mấy tháng tuổi rồi ạ?",
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).handle("liều paracetamol cho bé 18 ký")
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assert reply.clarification == "Bé mấy tháng tuổi rồi ạ?"
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def test_needs_clarify_frame_is_surfaced_directly():
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agent = _agent(QueryFrame(
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turn_type="dosing_calc", drugs=("paracetamol",),
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