Clean up monitoring TG Python adapter

src/parser_bot/extractors.py

@@ -310,26 +310,3 @@ def analyze(text: str | None) -> dict[str, Any]:
         "tg_handles": extract_tg_handles(text),
         "real_estate": extract_real_estate(text),
     }
-
-
-async def analyze_with_llm(
-    text: str | None,
-    vertical: str = "real_estate",
-    department_id: str | None = None,
-    section_slug: str | None = None,
-) -> dict[str, Any]:
-    """Regex extraction + local LLM lead classification, routed by vertical.
-
-    `department_id` + `section_slug` let the classifier pick a department and
-    section-specific system prompt with fallback to the department vertical
-    prompt. The LLM verdict goes under `lead` for RE and
-    under `hr_lead` for HR. Falls back to regex-only if the LLM is unavailable.
-    """
-    base = analyze(text)
-    # Lazy import to avoid hard dep on httpx in environments where LLM is off.
-    from parser_bot.llm import classify
-
-    verdict = await classify(text, vertical, department_id, section_slug)  # type: ignore[arg-type]
-    if verdict is not None:
-        base["hr_lead" if vertical == "hr" else "lead"] = verdict
-    return base