feat: Ollama qwen3:14b 기반 AI 뉴스 요약 + 텔레그램 통합 허브

- stock-lab: POST /api/stock/news/summarize 추가 (Ollama /api/generate 호출, 토큰/duration 추적)
- agent-office: telegram 패키지 분해 (client/formatter/messaging/webhook/router/agent_registry)
- send_agent_message 통합 API로 에이전트 중립 메시지 포맷 표준화
- 텔레그램 → 에이전트 명령 라우터 (/status, /stock news, /music credits 등)
- 토큰 사용량 집계 API 및 GET /agents/{id}/token-usage

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

agent-office/app/db.py

@@ -261,6 +261,59 @@ def mark_telegram_responded(callback_id: str, action: str) -> None:
         )
 
 
+def get_token_usage_stats(agent_id: str, days: int = 1) -> dict:
+    """지정 에이전트의 최근 N일 토큰 사용량 집계.
+
+    agent_tasks 테이블의 result_data JSON에서 tokens.total을 합산.
+    반환: {"total_tokens": int, "task_count": int, "by_day": [{"date": "YYYY-MM-DD", "tokens": int}]}
+    """
+    with _conn() as conn:
+        rows = conn.execute(
+            """
+            SELECT completed_at, result_data
+            FROM agent_tasks
+            WHERE agent_id = ?
+              AND status = 'succeeded'
+              AND completed_at IS NOT NULL
+              AND completed_at >= strftime('%Y-%m-%dT%H:%M:%fZ','now', ?)
+            """,
+            (agent_id, f"-{int(days)} days"),
+        ).fetchall()
+
+    total_tokens = 0
+    task_count = 0
+    by_day_map: Dict[str, int] = {}
+    for r in rows:
+        result_data = r["result_data"]
+        if not result_data:
+            continue
+        try:
+            parsed = json.loads(result_data)
+        except Exception:
+            continue
+        tokens = parsed.get("tokens") if isinstance(parsed, dict) else None
+        total = 0
+        if isinstance(tokens, dict):
+            total = int(tokens.get("total", 0) or 0)
+        if total <= 0:
+            continue
+        total_tokens += total
+        task_count += 1
+        completed_at = r["completed_at"] or ""
+        day = completed_at[:10] if completed_at else "unknown"
+        by_day_map[day] = by_day_map.get(day, 0) + total
+
+    by_day = [
+        {"date": d, "tokens": t}
+        for d, t in sorted(by_day_map.items())
+    ]
+    return {
+        "total_tokens": total_tokens,
+        "task_count": task_count,
+        "by_day": by_day,
+    }
+
+
 def get_activity_feed(limit: int = 50, offset: int = 0) -> dict:
     with _conn() as conn:
         total_row = conn.execute("""