Remove chat rate limit

apps/ai-service/rag/answer.py

@@ -30,7 +30,7 @@ from .routing import QueryRoutingService
 # be different prompts (or a different judge) to be independent evidence —
 # see this function's own reasoning above.
 
-_QUICK_REPLY_MAX_ITEMS = 4
+_QUICK_REPLY_MAX_ITEMS = 18  # one per monograph section (see rag/sections.py SECTION_ORDER)
 _QUICK_REPLY_MAX_CHARS = 40
 logger = logging.getLogger(__name__)
 
@@ -207,6 +207,29 @@ class _VerificationOutcome:
     missing: tuple[str, ...] = ()
 
 
+# Display-only label override, 2026-08-13: these 3 of 684 catalog drug_ids are
+# missing the letter for "Đ"/"đ" entirely (ingestion's slug generator drops it
+# instead of mapping it to "d" like every other Vietnamese diacritic), so
+# `drug_id.replace("_", " ").upper()` can never reconstruct the accented name
+# and the fold-based dedup below always mismatches for them. Does not touch
+# drug_id or any stored data — only the label text shown in generated answers.
+_DRUG_LABEL_OVERRIDES: dict[str, str] = {
+    "giai_oc_to_uon_van_hap_phu_vac_xin_uon_van_hap_phu":
+        "GIẢI ĐỘC TỐ UỐN VÁN HẤP PHỤ (VẮC XIN UỐN VÁN HẤP PHỤ)",
+    "khang_oc_to_bach_hau": "KHÁNG ĐỘC TỐ BẠCH HẦU",
+    "thuoc_uong_bu_nuoc_va_ien_giai": "THUỐC UỐNG BÙ NƯỚC VÀ ĐIỆN GIẢI",
+}
+
+
+def _fold_diacritics(text: str) -> str:
+    """Accent-insensitive fold. Vietnamese "Đ"/"đ" is not a combining-mark
+    decomposition under NFKD (unlike every other Vietnamese diacritic), so it
+    survives the strip below unless mapped explicitly first."""
+    text = text.replace("Đ", "D").replace("đ", "d")
+    stripped = unicodedata.normalize("NFKD", text)
+    return "".join(ch for ch in stripped if not unicodedata.combining(ch)).casefold()
+
+
 def _parse_claims(
     raw_claims: list, *, include_drug_label: bool = False
 ) -> tuple[tuple[str, tuple[int, ...]], ...] | None:
@@ -230,8 +253,8 @@ def _parse_claims(
             drug_id = item.get("drug_id")
             if not isinstance(drug_id, str) or not drug_id.strip():
                 return None
-            label = drug_id.replace("_", " ").upper()
-            if label.casefold() not in cleaned.casefold():
+            label = _DRUG_LABEL_OVERRIDES.get(drug_id) or drug_id.replace("_", " ").upper()
+            if _fold_diacritics(label) not in _fold_diacritics(cleaned):
                 cleaned = f"{label}: {cleaned}"
         claims.append((cleaned, tuple(citations)))
     return tuple(claims)