feat(bot): chat agent on Gemini 2.5 Flash-Lite — grounded first turn, current-prescription defaults

Live-tested on OpenRouter: Flash-Lite answers in 3–8 s with correct findings at ~$0.10/$0.40 per 1M tokens
(qwen3.7-flash and gpt-oss-120b took 26–32 s). Force a tool call on the first turn, give the model the
current prescription, let check_drug_for_patient default to it and return composition, intolerance check
and general interactions (alcohol); retry once on an empty final message.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

app/llm/agent/tools.py

@@ -77,8 +77,9 @@ TOOL_SPECS: list[dict[str, Any]] = [
             ),
             "parameters": {
                 "type": "object",
-                "properties": {"drug": {"type": "string"}},
-                "required": ["drug"],
+                "properties": {
+                    "drug": {"type": "string", "description": "Название препарата; пусто — текущее назначение пациента"}
+                },
             },
         },
     },
@@ -157,7 +158,12 @@ def _drug_info(ctx: ToolContext, name: str) -> dict[str, Any]:
 
 
 async def _check(ctx: ToolContext, name: str) -> dict[str, Any]:
-    entry = find_drug(name)
+    entry = find_drug(name) if name.strip() else None
+    if entry is None:
+        # "мои таблетки" / no name → the current psychiatric prescription from the record.
+        rec = await ctx.record()
+        current = [find_drug(p.drug) for p in (rec.current_prescriptions if rec else [])]
+        entry = next((e for e in current if e is not None), None) if not find_drug(name) else None
     if entry is None:
         return {"found": False, "drug": name, "note": "Препарата нет в справочнике — отвечать «уточните у врача»."}
     rec = await ctx.record()
@@ -165,13 +171,28 @@ async def _check(ctx: ToolContext, name: str) -> dict[str, Any]:
         return {"found": True, "inn": entry.inn, "record": False, "findings": []}
     ctx.cite(entry.source)
     ctx.cite("ЕМИАС: медицинская карта")
-    findings = check_patient(entry, rec, load_db())
+    db = load_db()
+    findings = check_patient(entry, rec, db)
+    comp = entry.composition
+    intolerances = [a.name for a in rec.allergies]
+    intolerance_check = None
+    if comp is not None and intolerances:
+        hit = {t for a in rec.allergies for t in a.tags} & set(comp.excipient_tags)
+        intolerance_check = f"Непереносимость из карты ({', '.join(intolerances)}): " + (
+            "вещество ЕСТЬ в составе."
+            if hit
+            else "в примере состава этого вещества нет; состав зависит от производителя."
+        )
     return {
         "found": True,
         "inn": entry.inn,
         "record": True,
         "findings": [f.model_dump() for f in findings],
-        "note": "Пустой список не означает, что препарат безопасен: решение о приёме принимает врач.",
+        "intolerance_check": intolerance_check,
+        "composition": comp.model_dump(exclude={"excipient_tags"}) if comp else None,
+        "general_interactions": [i.text for i in entry.interactions],  # incl. alcohol — for questions about it
+        "contraindications": entry.contraindications,
+        "note": "Пустой findings не означает, что препарат безопасен: решение о приёме принимает врач.",
     }