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>

.env.example

@@ -57,6 +57,10 @@ ADMIN_API_KEY=
 # Anthropic API Key (AI Coach 프록시, 미설정 시 AI Coach 비활성화)
 ANTHROPIC_API_KEY=
 
+# Ollama 서버 (Windows AI PC의 Ollama 엔드포인트) — 뉴스 요약용
+OLLAMA_URL=http://192.168.45.59:11435
+OLLAMA_MODEL=qwen3:14b
+
 # [BLOG LAB]
 # Naver Search API (https://developers.naver.com 에서 발급)
 NAVER_CLIENT_ID=

agent-office/app/agents/stock.py

@@ -14,22 +14,35 @@ class StockAgent(BaseAgent):
             return
 
         task_id = create_task(self.agent_id, "news_summary", {"limit": 15})
-        await self.transition("working", "뉴스 수집 중...", task_id)
+        await self.transition("working", "AI 뉴스 요약 생성 중...", task_id)
 
         try:
-            news = await service_proxy.fetch_stock_news(limit=15)
+            # AI 요약 호출 (뉴스 수집 + LLM 처리는 stock-lab이 담당)
-            indices = await service_proxy.fetch_stock_indices()
+            result = await service_proxy.summarize_stock_news(limit=15)
-
-            summary = self._format_news_summary(news, indices)
 
             await self.transition("reporting", "뉴스 요약 전송 중...")
 
-            from ..telegram_bot import send_stock_summary
+            # 새 통합 텔레그램 API 사용
-            tg_result = await send_stock_summary(summary)
+            from ..telegram import send_agent_message
+            tg_result = await send_agent_message(
+                agent_id=self.agent_id,
+                kind="report",
+                title="아침 시장 브리핑",
+                body=result["summary"],
+                task_id=task_id,
+                metadata={
+                    "tokens": result["tokens"]["total"],
+                    "duration_ms": result["duration_ms"],
+                    "model": result["model"],
+                },
+            )
 
             update_task_status(task_id, "succeeded", {
-                "summary": summary,
+                "summary": result["summary"],
-                "news_count": len(news) if isinstance(news, list) else 0,
+                "article_count": result.get("article_count", 0),
+                "tokens": result["tokens"],
+                "model": result["model"],
+                "duration_ms": result["duration_ms"],
                 "telegram_sent": tg_result.get("ok", False),
                 "telegram_message_id": tg_result.get("message_id"),
             })
@@ -50,8 +63,13 @@ class StockAgent(BaseAgent):
 
     async def on_command(self, command: str, params: dict) -> dict:
         if command == "test_telegram":
-            from ..telegram_bot import send_message
+            from ..telegram import send_agent_message
-            result = await send_message("🔔 [주식 에이전트] 텔레그램 테스트 메시지입니다.")
+            result = await send_agent_message(
+                agent_id=self.agent_id,
+                kind="info",
+                title="연결 테스트",
+                body="텔레그램 연동이 정상적으로 동작합니다.",
+            )
             return {
                 "ok": result.get("ok", False),
                 "message": "텔레그램 전송 성공" if result.get("ok") else "텔레그램 전송 실패",
@@ -88,30 +106,3 @@ class StockAgent(BaseAgent):
 
     async def on_approval(self, task_id: str, approved: bool, feedback: str = "") -> None:
         pass
-
-    def _format_news_summary(self, news, indices) -> str:
-        lines = ["📈 [주식 에이전트] 아침 뉴스 요약", "━" * 20]
-
-        if isinstance(news, list):
-            for item in news[:10]:
-                title = item.get("title", "")
-                if title:
-                    lines.append(f"• {title}")
-        elif isinstance(news, dict) and "articles" in news:
-            for item in news["articles"][:10]:
-                title = item.get("title", "")
-                if title:
-                    lines.append(f"• {title}")
-
-        if indices:
-            lines.append("")
-            lines.append("📊 주요 지수")
-            if isinstance(indices, dict):
-                for key, val in indices.items():
-                    if isinstance(val, dict):
-                        name = val.get("name", key)
-                        price = val.get("price", "")
-                        change = val.get("change", "")
-                        lines.append(f"{name}: {price} ({change})")
-
-        return "\n".join(lines)

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("""

agent-office/app/main.py

@@ -138,10 +138,26 @@ async def approve(body: ApprovalRequest):
 
 # --- Telegram Webhook ---
 
+async def _agent_dispatcher(agent_id: str, command: str, params: dict) -> dict:
+    """텔레그램 라우터가 호출하는 에이전트 디스패처."""
+    # 전역 상태 조회
+    if agent_id == "__global__" and command == "status":
+        result = {}
+        for aid, agent in AGENT_REGISTRY.items():
+            result[aid] = {"state": agent.state, "detail": agent.state_detail}
+        return result
+
+    agent = AGENT_REGISTRY.get(agent_id)
+    if agent is None:
+        return {"ok": False, "message": f"Unknown agent: {agent_id}"}
+    return await agent.on_command(command, params or {})
+
+
 @app.post("/api/agent-office/telegram/webhook")
 async def telegram_webhook(data: dict):
-    result = await telegram_bot.handle_webhook(data)
+    result = await telegram_bot.handle_webhook(data, agent_dispatcher=_agent_dispatcher)
-    if result:
+    # callback_query (승인/거절) → 기존 승인 흐름
+    if result and "approved" in result:
         agent = get_agent(result["agent_id"])
         if agent:
             await agent.on_approval(result["task_id"], result["approved"])
@@ -151,6 +167,11 @@ async def telegram_webhook(data: dict):
 def all_states():
     return {"agents": get_all_agent_states()}
 
+@app.get("/api/agent-office/agents/{agent_id}/token-usage")
+def agent_token_usage(agent_id: str, days: int = 1):
+    from .db import get_token_usage_stats
+    return get_token_usage_stats(agent_id, days)
+
 @app.get("/api/agent-office/activity")
 def activity_feed(limit: int = 50, offset: int = 0):
     return get_activity_feed(limit, offset)

agent-office/app/service_proxy.py

@@ -18,6 +18,18 @@ async def fetch_stock_indices() -> Dict[str, Any]:
     resp.raise_for_status()
     return resp.json()
 
+async def summarize_stock_news(limit: int = 15) -> Dict[str, Any]:
+    """stock-lab의 AI 요약 엔드포인트 호출.
+    반환: {"summary": str, "tokens": {...}, "model": str, "duration_ms": int, "article_count": int}
+    """
+    async with httpx.AsyncClient(timeout=90.0) as client:
+        resp = await client.post(
+            f"{STOCK_LAB_URL}/api/stock/news/summarize",
+            json={"limit": limit},
+        )
+        resp.raise_for_status()
+        return resp.json()
+
 async def generate_music(payload: dict) -> Dict[str, Any]:
     resp = await _client.post(f"{MUSIC_LAB_URL}/api/music/generate", json=payload)
     resp.raise_for_status()

agent-office/app/telegram/__init__.py

@@ -0,0 +1,19 @@
+"""Telegram 통합 메시지 패키지."""
+from .agent_registry import AGENT_META, get_agent_meta, register_agent
+from .messaging import send_agent_message, send_approval_request, send_raw
+from .router import parse_command, resolve_agent_command, HELP_TEXT
+from .webhook import handle_webhook, setup_webhook
+
+__all__ = [
+    "send_agent_message",
+    "send_approval_request",
+    "send_raw",
+    "handle_webhook",
+    "setup_webhook",
+    "get_agent_meta",
+    "register_agent",
+    "AGENT_META",
+    "parse_command",
+    "resolve_agent_command",
+    "HELP_TEXT",
+]

agent-office/app/telegram/agent_registry.py

@@ -0,0 +1,30 @@
+"""에이전트 메타 등록소."""
+
+AGENT_META = {
+    "stock": {
+        "display_name": "주식 트레이더",
+        "emoji": "📈",
+        "color": "#4488cc",
+    },
+    "music": {
+        "display_name": "음악 프로듀서",
+        "emoji": "🎵",
+        "color": "#44aa88",
+    },
+}
+
+
+def get_agent_meta(agent_id: str) -> dict:
+    return AGENT_META.get(
+        agent_id,
+        {"display_name": agent_id, "emoji": "🤖", "color": "#888"},
+    )
+
+
+def register_agent(agent_id: str, display_name: str, emoji: str, color: str = "#888"):
+    """향후 에이전트 동적 등록용"""
+    AGENT_META[agent_id] = {
+        "display_name": display_name,
+        "emoji": emoji,
+        "color": color,
+    }

agent-office/app/telegram/client.py

@@ -0,0 +1,18 @@
+"""Telegram Bot API 저수준 래퍼."""
+import httpx
+
+from ..config import TELEGRAM_BOT_TOKEN, TELEGRAM_CHAT_ID, TELEGRAM_WEBHOOK_URL
+
+_BASE = "https://api.telegram.org/bot"
+
+
+def _enabled() -> bool:
+    return bool(TELEGRAM_BOT_TOKEN and TELEGRAM_CHAT_ID)
+
+
+async def api_call(method: str, payload: dict) -> dict:
+    if not _enabled():
+        return {"ok": False, "description": "Telegram not configured"}
+    async with httpx.AsyncClient(timeout=10.0) as client:
+        resp = await client.post(f"{_BASE}{TELEGRAM_BOT_TOKEN}/{method}", json=payload)
+        return resp.json()

agent-office/app/telegram/formatter.py

@@ -0,0 +1,43 @@
+"""에이전트 메시지 포맷팅."""
+from typing import Literal, Optional
+
+from .agent_registry import get_agent_meta
+
+MessageKind = Literal["report", "alert", "approval", "error", "info"]
+
+KIND_ICONS = {
+    "report": "📊",
+    "alert": "🔔",
+    "approval": "✋",
+    "error": "⚠️",
+    "info": "ℹ️",
+}
+
+
+def format_agent_message(
+    agent_id: str,
+    kind: MessageKind,
+    title: str,
+    body: str,
+    metadata: Optional[dict] = None,
+) -> str:
+    meta = get_agent_meta(agent_id)
+    icon = KIND_ICONS.get(kind, "")
+    header = f"{icon} <b>[{meta['emoji']} {meta['display_name']}]</b> {title}"
+
+    lines = [header, "━" * 20, body]
+
+    if metadata:
+        footer_parts = []
+        if "tokens" in metadata:
+            footer_parts.append(f"🧮 {metadata['tokens']:,} tokens")
+        if "duration_ms" in metadata:
+            seconds = metadata["duration_ms"] / 1000
+            footer_parts.append(f"⏱ {seconds:.1f}s")
+        if "model" in metadata:
+            footer_parts.append(f"🤖 {metadata['model']}")
+        if footer_parts:
+            lines.append("")
+            lines.append(f"<i>{' · '.join(footer_parts)}</i>")
+
+    return "\n".join(lines)

agent-office/app/telegram/messaging.py

@@ -0,0 +1,68 @@
+"""고수준 메시지 전송 API."""
+import uuid
+from typing import Optional
+
+from ..config import TELEGRAM_CHAT_ID
+from ..db import save_telegram_callback
+from .client import _enabled, api_call
+from .formatter import MessageKind, format_agent_message
+
+
+async def send_raw(text: str, reply_markup: Optional[dict] = None) -> dict:
+    """가장 저수준. 원문 텍스트 그대로 전송."""
+    if not _enabled():
+        return {"ok": False, "message_id": None}
+    payload = {
+        "chat_id": TELEGRAM_CHAT_ID,
+        "text": text,
+        "parse_mode": "HTML",
+    }
+    if reply_markup:
+        payload["reply_markup"] = reply_markup
+    result = await api_call("sendMessage", payload)
+    return {
+        "ok": result.get("ok", False),
+        "message_id": result.get("result", {}).get("message_id") if result.get("ok") else None,
+    }
+
+
+async def send_agent_message(
+    agent_id: str,
+    kind: MessageKind,
+    title: str,
+    body: str,
+    task_id: Optional[str] = None,
+    actions: Optional[list] = None,
+    metadata: Optional[dict] = None,
+) -> dict:
+    """통합 에이전트 메시지 API. 모든 에이전트가 이걸 씀."""
+    text = format_agent_message(agent_id, kind, title, body, metadata)
+    reply_markup = None
+    if actions:
+        buttons = []
+        for action in actions:
+            cb_id = f"{action['action']}_{uuid.uuid4().hex[:8]}"
+            save_telegram_callback(cb_id, task_id or "", agent_id)
+            buttons.append({"text": action["label"], "callback_data": cb_id})
+        reply_markup = {"inline_keyboard": [buttons]}
+    return await send_raw(text, reply_markup)
+
+
+async def send_approval_request(
+    agent_id: str,
+    task_id: str,
+    title: str,
+    detail: str,
+) -> dict:
+    """승인/거절 단축 헬퍼."""
+    return await send_agent_message(
+        agent_id=agent_id,
+        kind="approval",
+        title=title,
+        body=detail,
+        task_id=task_id,
+        actions=[
+            {"label": "✅ 승인", "action": "approve"},
+            {"label": "❌ 거절", "action": "reject"},
+        ],
+    )

agent-office/app/telegram/router.py

@@ -0,0 +1,87 @@
+"""텔레그램 메시지 명령 → 에이전트 라우팅.
+새 명령을 추가하려면 AGENT_COMMAND_MAP에 등록만 하면 됨."""
+from typing import Optional
+
+
+def parse_command(text: str) -> Optional[tuple]:
+    """슬래시 명령 파싱.
+
+    반환: (agent_id_or_None, command, args_list) 또는 None
+
+    예시:
+      /stock news                       -> ("stock", "news", [])
+      /status                           -> (None, "status", [])
+      /music compose 잔잔한 피아노       -> ("music", "compose", ["잔잔한 피아노"])
+    """
+    if not text:
+        return None
+    text = text.strip()
+    if not text.startswith("/"):
+        return None
+    parts = text[1:].split(maxsplit=2)
+    if not parts:
+        return None
+
+    first = parts[0].lower()
+
+    # 전역 명령
+    if first in ("status", "agents", "help"):
+        return (None, first, parts[1:] if len(parts) > 1 else [])
+
+    # 에이전트 명령: /<agent> <command> [args...]
+    if len(parts) < 2:
+        return None
+
+    agent_id = first
+    command = parts[1].lower()
+    args = [parts[2]] if len(parts) > 2 else []
+    return (agent_id, command, args)
+
+
+# 에이전트별 텔레그램 → 내부 command 매핑
+# 텔레그램에서 친숙한 이름 -> (실제 on_command의 command, 기본 params)
+AGENT_COMMAND_MAP = {
+    "stock": {
+        "news": ("fetch_news", {}),
+        "alerts": ("list_alerts", {}),
+        "test": ("test_telegram", {}),
+    },
+    "music": {
+        "credits": ("credits", {}),
+        # compose는 인자 필요 — 아래 특수 케이스에서 처리
+    },
+}
+
+
+def resolve_agent_command(agent_id: str, command: str, args: list) -> Optional[tuple]:
+    """(internal_command, params) 반환. 매핑 없으면 None."""
+    mapping = AGENT_COMMAND_MAP.get(agent_id, {}).get(command)
+    if mapping is None:
+        # 특수 케이스: music compose <prompt>
+        if agent_id == "music" and command == "compose" and args:
+            return ("compose", {"prompt": " ".join(args)})
+        return None
+    internal_cmd, base_params = mapping
+    params = dict(base_params)
+    if args:
+        # args가 있으면 첫 번째(합쳐진 나머지)를 message로 자동 주입
+        params["message"] = " ".join(args)
+    return (internal_cmd, params)
+
+
+HELP_TEXT = """<b>🤖 Agent Office 텔레그램 명령</b>
+
+<b>전역</b>
+/status — 모든 에이전트 상태
+/agents — 에이전트 목록
+/help — 이 도움말
+
+<b>📈 주식 트레이더</b>
+/stock news — 뉴스 AI 요약 실행
+/stock alerts — 알람 목록
+/stock test — 텔레그램 테스트
+
+<b>🎵 음악 프로듀서</b>
+/music credits — Suno 크레딧 조회
+/music compose &lt;프롬프트&gt; — 작곡 시작
+"""

agent-office/app/telegram/webhook.py

@@ -0,0 +1,149 @@
+"""텔레그램 Webhook 이벤트 처리."""
+from typing import Optional
+
+from ..db import get_telegram_callback, mark_telegram_responded
+from .client import _enabled, api_call
+
+
+async def handle_webhook(data: dict, agent_dispatcher=None) -> Optional[dict]:
+    """텔레그램에서 들어오는 이벤트 처리.
+
+    - callback_query(인라인 버튼)는 항상 처리 → 승인/거절 dict 반환
+    - message(텍스트 슬래시 명령)는 `agent_dispatcher`가 주입된 경우에만 처리
+
+    agent_dispatcher: async (agent_id, command, params) -> dict
+      - agent_id == "__global__", command == "status" 특수 케이스는
+        {agent_id: {state, detail}} dict를 반환해야 함.
+    """
+    callback_query = data.get("callback_query")
+    if callback_query:
+        return await _handle_callback(callback_query)
+
+    message = data.get("message")
+    if message and message.get("text") and agent_dispatcher is not None:
+        return await _handle_message(message, agent_dispatcher)
+
+    return None
+
+
+async def _handle_callback(callback_query: dict) -> Optional[dict]:
+    """기존 승인/거절 콜백 처리 로직."""
+    callback_id = callback_query.get("data", "")
+    cb = get_telegram_callback(callback_id)
+    if not cb:
+        return None
+
+    action = callback_id.split("_")[0]
+    mark_telegram_responded(callback_id, action)
+
+    feedback_text = {
+        "approve": "승인됨 ✅",
+        "reject": "거절됨 ❌",
+    }.get(action, f"처리됨: {action}")
+
+    await api_call(
+        "answerCallbackQuery",
+        {
+            "callback_query_id": callback_query["id"],
+            "text": feedback_text,
+        },
+    )
+
+    return {
+        "task_id": cb["task_id"],
+        "agent_id": cb["agent_id"],
+        "action": action,
+        "approved": action == "approve",
+    }
+
+
+async def _handle_message(message: dict, agent_dispatcher) -> Optional[dict]:
+    """슬래시 명령 메시지 처리."""
+    from .router import parse_command, resolve_agent_command, HELP_TEXT
+    from .messaging import send_raw, send_agent_message
+    from .agent_registry import AGENT_META
+
+    text = message.get("text", "")
+    parsed = parse_command(text)
+    if not parsed:
+        return None
+
+    agent_id, command, args = parsed
+
+    # 전역 명령
+    if agent_id is None:
+        if command == "help":
+            await send_raw(HELP_TEXT)
+            return {"handled": "help"}
+
+        if command == "agents":
+            lines = ["<b>📋 등록된 에이전트</b>", ""]
+            for aid, meta in AGENT_META.items():
+                lines.append(
+                    f"{meta['emoji']} <b>{meta['display_name']}</b> <code>/{aid}</code>"
+                )
+            await send_raw("\n".join(lines))
+            return {"handled": "agents"}
+
+        if command == "status":
+            try:
+                result = await agent_dispatcher("__global__", "status", {})
+                body_lines = []
+                if isinstance(result, dict):
+                    for aid, info in result.items():
+                        meta = AGENT_META.get(
+                            aid, {"emoji": "🤖", "display_name": aid}
+                        )
+                        state = info.get("state", "unknown") if isinstance(info, dict) else "unknown"
+                        body_lines.append(
+                            f"{meta['emoji']} <b>{meta['display_name']}</b>: <code>{state}</code>"
+                        )
+                        detail = info.get("detail") if isinstance(info, dict) else None
+                        if detail:
+                            body_lines.append(f"  └ {detail}")
+                await send_raw("<b>📊 전체 상태</b>\n\n" + "\n".join(body_lines))
+            except Exception as e:
+                await send_raw(f"⚠️ 상태 조회 실패: {e}")
+            return {"handled": "status"}
+
+        return None
+
+    # 에이전트 명령
+    if agent_id not in AGENT_META:
+        await send_raw(
+            f"⚠️ 알 수 없는 에이전트: <code>{agent_id}</code>\n/help 로 사용 가능한 명령 확인"
+        )
+        return {"handled": "unknown_agent"}
+
+    resolved = resolve_agent_command(agent_id, command, args)
+    if resolved is None:
+        await send_raw(
+            f"⚠️ <code>{agent_id}</code>에서 <code>{command}</code> 명령은 지원하지 않습니다."
+        )
+        return {"handled": "unknown_command"}
+
+    internal_cmd, params = resolved
+
+    try:
+        result = await agent_dispatcher(agent_id, internal_cmd, params)
+        ok = result.get("ok", False) if isinstance(result, dict) else False
+        msg = result.get("message", "") if isinstance(result, dict) else str(result)
+
+        await send_agent_message(
+            agent_id=agent_id,
+            kind="info" if ok else "error",
+            title=f"{internal_cmd} 실행 결과",
+            body=msg or str(result),
+        )
+    except Exception as e:
+        await send_raw(f"⚠️ 명령 실행 실패: {e}")
+
+    return {"handled": "command", "agent_id": agent_id, "command": internal_cmd}
+
+
+async def setup_webhook() -> dict:
+    from ..config import TELEGRAM_WEBHOOK_URL
+
+    if not _enabled() or not TELEGRAM_WEBHOOK_URL:
+        return {"ok": False, "description": "Webhook URL not configured"}
+    return await api_call("setWebhook", {"url": TELEGRAM_WEBHOOK_URL})

agent-office/app/telegram_bot.py

@@ -1,86 +1,27 @@
-import json
+"""Deprecated: app.telegram 패키지 사용 권장. 하위 호환용 re-export."""
-import uuid
+from .telegram import handle_webhook, send_approval_request, send_raw, setup_webhook
-import httpx
+from .telegram.messaging import send_agent_message
-from typing import Optional
 
-from .config import TELEGRAM_BOT_TOKEN, TELEGRAM_CHAT_ID, TELEGRAM_WEBHOOK_URL
-from .db import save_telegram_callback, get_telegram_callback, mark_telegram_responded
-
-_BASE = "https://api.telegram.org/bot"
-
-def _enabled() -> bool:
-    return bool(TELEGRAM_BOT_TOKEN and TELEGRAM_CHAT_ID)
-
-async def _api(method: str, payload: dict) -> dict:
-    if not _enabled():
-        return {"ok": False, "description": "Telegram not configured"}
-    async with httpx.AsyncClient(timeout=10.0) as client:
-        resp = await client.post(f"{_BASE}{TELEGRAM_BOT_TOKEN}/{method}", json=payload)
-        return resp.json()
 
+# 기존 호출자가 쓰던 이름들
 async def send_message(text: str, reply_markup: dict = None) -> dict:
-    payload = {
+    return await send_raw(text, reply_markup)
-        "chat_id": TELEGRAM_CHAT_ID,
+
-        "text": text,
-        "parse_mode": "HTML",
-    }
-    if reply_markup:
-        payload["reply_markup"] = reply_markup
-    result = await _api("sendMessage", payload)
-    return {
-        "ok": result.get("ok", False),
-        "message_id": result.get("result", {}).get("message_id") if result.get("ok") else None,
-    }
 
 async def send_stock_summary(summary: str) -> dict:
-    return await send_message(summary)
+    return await send_raw(summary)
 
-async def send_approval_request(agent_id: str, task_id: str, title: str, detail: str) -> dict:
-    approve_id = f"approve_{uuid.uuid4().hex[:8]}"
-    reject_id = f"reject_{uuid.uuid4().hex[:8]}"
-
-    save_telegram_callback(approve_id, task_id, agent_id)
-    save_telegram_callback(reject_id, task_id, agent_id)
-
-    text = f"{title}\n{'━' * 20}\n{detail}"
-    reply_markup = {
-        "inline_keyboard": [[
-            {"text": "✅ 승인", "callback_data": approve_id},
-            {"text": "❌ 거절", "callback_data": reject_id},
-        ]]
-    }
-    return await send_message(text, reply_markup)
 
 async def send_task_result(agent_id: str, title: str, result: str) -> dict:
-    text = f"{title}\n{'━' * 20}\n{result}"
+    return await send_agent_message(agent_id, "report", title, result)
-    return await send_message(text)
 
-async def handle_webhook(data: dict) -> Optional[dict]:
-    callback_query = data.get("callback_query")
-    if not callback_query:
-        return None
 
-    callback_id = callback_query.get("data", "")
+__all__ = [
-    cb = get_telegram_callback(callback_id)
+    "send_message",
-    if not cb:
+    "send_stock_summary",
-        return None
+    "send_task_result",
-
+    "send_approval_request",
-    action = "approve" if callback_id.startswith("approve_") else "reject"
+    "send_agent_message",
-    mark_telegram_responded(callback_id, action)
+    "handle_webhook",
-
+    "setup_webhook",
-    await _api("answerCallbackQuery", {
+]
-        "callback_query_id": callback_query["id"],
-        "text": "승인됨 ✅" if action == "approve" else "거절됨 ❌",
-    })
-
-    return {
-        "task_id": cb["task_id"],
-        "agent_id": cb["agent_id"],
-        "action": action,
-        "approved": action == "approve",
-    }
-
-async def setup_webhook() -> dict:
-    if not _enabled() or not TELEGRAM_WEBHOOK_URL:
-        return {"ok": False, "description": "Webhook URL not configured"}
-    return await _api("setWebhook", {"url": TELEGRAM_WEBHOOK_URL})

docker-compose.yml

@@ -38,6 +38,8 @@ services:
       - GEMINI_MODEL=${GEMINI_MODEL:-gemini-1.5-flash}
       - ADMIN_API_KEY=${ADMIN_API_KEY:-}
       - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:-}
+      - OLLAMA_URL=${OLLAMA_URL:-http://192.168.45.59:11435}
+      - OLLAMA_MODEL=${OLLAMA_MODEL:-qwen3:14b}
       - CORS_ALLOW_ORIGINS=${CORS_ALLOW_ORIGINS:-http://localhost:3007,http://localhost:8080}
     volumes:
       - ${RUNTIME_PATH}/data/stock:/app/data

stock-lab/app/ai_summarizer.py

@@ -0,0 +1,113 @@
+"""Ollama 기반 뉴스 요약 모듈.
+
+Windows AI 서버(192.168.45.59:11435)의 Ollama에 연결하여
+한국어 시장 뉴스를 요약한다. 기존 WINDOWS_AI_SERVER_URL(KIS 래퍼)과는
+별개 경로이며, 본 모듈은 Ollama HTTP API(`/api/generate`)만 호출한다.
+"""
+import os
+import logging
+import time
+from typing import List, Dict, Any
+
+import httpx
+
+logger = logging.getLogger("stock-lab.ai_summarizer")
+
+OLLAMA_URL = os.getenv("OLLAMA_URL", "http://192.168.45.59:11435")
+OLLAMA_MODEL = os.getenv("OLLAMA_MODEL", "qwen3:14b")
+
+_PROMPT_TEMPLATE = """당신은 한국 주식 시장 애널리스트입니다. 아래 뉴스 목록을 읽고 투자자 관점에서 한국어로 간결하게 요약하세요.
+
+반드시 아래 형식을 그대로 지켜서 출력하세요. 다른 설명이나 서두, `<think>` 같은 태그는 절대 출력하지 마세요.
+
+📌 시장 흐름
+(2줄 요약)
+
+🔥 주목 이슈
+• (이슈 1)
+• (이슈 2)
+• (이슈 3)
+
+💡 투자 관점
+(1줄 인사이트)
+
+=== 뉴스 목록 ===
+{news_block}
+"""
+
+
+class OllamaError(RuntimeError):
+    """Ollama 서버 호출 실패."""
+
+
+def _build_news_block(articles: List[Dict[str, Any]]) -> str:
+    lines = []
+    for i, art in enumerate(articles, start=1):
+        title = (art.get("title") or "").strip()
+        content = (art.get("content") or art.get("summary") or "").strip()
+        if content:
+            lines.append(f"{i}. {title} — {content}")
+        else:
+            lines.append(f"{i}. {title}")
+    return "\n".join(lines) if lines else "(뉴스 없음)"
+
+
+async def summarize_news(articles: List[Dict[str, Any]]) -> Dict[str, Any]:
+    """뉴스 리스트를 Ollama로 요약.
+
+    Returns:
+        {
+          "summary": str,
+          "tokens": {"prompt": int, "completion": int, "total": int},
+          "model": str,
+          "duration_ms": int,
+        }
+    Raises:
+        OllamaError: Ollama 호출 실패 시.
+    """
+    prompt = _PROMPT_TEMPLATE.format(news_block=_build_news_block(articles))
+
+    url = f"{OLLAMA_URL.rstrip('/')}/api/generate"
+    payload = {
+        "model": OLLAMA_MODEL,
+        "prompt": prompt,
+        "stream": False,
+    }
+
+    started = time.monotonic()
+    try:
+        async with httpx.AsyncClient(timeout=60.0) as client:
+            resp = await client.post(url, json=payload)
+    except httpx.HTTPError as e:
+        logger.error(f"Ollama 연결 실패 ({url}): {e}")
+        raise OllamaError(f"Ollama 연결 실패: {e}") from e
+
+    if resp.status_code != 200:
+        logger.error(f"Ollama 응답 오류 {resp.status_code}: {resp.text[:200]}")
+        raise OllamaError(f"Ollama HTTP {resp.status_code}: {resp.text[:200]}")
+
+    try:
+        data = resp.json()
+    except ValueError as e:
+        raise OllamaError(f"Ollama 응답 JSON 파싱 실패: {e}") from e
+
+    summary = (data.get("response") or "").strip()
+    prompt_tokens = int(data.get("prompt_eval_count") or 0)
+    completion_tokens = int(data.get("eval_count") or 0)
+    # total_duration은 나노초 단위
+    total_duration_ns = int(data.get("total_duration") or 0)
+    if total_duration_ns > 0:
+        duration_ms = total_duration_ns // 1_000_000
+    else:
+        duration_ms = int((time.monotonic() - started) * 1000)
+
+    return {
+        "summary": summary,
+        "tokens": {
+            "prompt": prompt_tokens,
+            "completion": completion_tokens,
+            "total": prompt_tokens + completion_tokens,
+        },
+        "model": data.get("model") or OLLAMA_MODEL,
+        "duration_ms": duration_ms,
+    }

stock-lab/app/main.py

@@ -23,6 +23,7 @@ from .db import (
 )
 from .scraper import fetch_market_news, fetch_major_indices
 from .price_fetcher import get_current_prices
+from .ai_summarizer import summarize_news, OllamaError
 
 app = FastAPI()
 
@@ -144,6 +145,33 @@ def trigger_scrap():
     run_scraping_job()
     return {"ok": True}
 
+
+class NewsSummarizeRequest(BaseModel):
+    limit: Optional[int] = 10
+
+
+@app.post("/api/stock/news/summarize")
+async def summarize_latest_news(req: NewsSummarizeRequest = NewsSummarizeRequest()):
+    """최근 뉴스를 Ollama(qwen3:14b)로 요약"""
+    limit = req.limit if (req and req.limit) else 10
+    articles = get_latest_articles(limit)
+    if not articles:
+        raise HTTPException(status_code=404, detail="요약할 뉴스가 없습니다.")
+
+    try:
+        result = await summarize_news(articles)
+    except OllamaError as e:
+        logger.error(f"뉴스 요약 실패: {e}")
+        raise HTTPException(status_code=500, detail=f"Ollama 호출 실패: {e}")
+    except Exception as e:
+        logger.exception("뉴스 요약 중 예상치 못한 오류")
+        raise HTTPException(status_code=500, detail=f"뉴스 요약 실패: {e}")
+
+    return {
+        **result,
+        "article_count": len(articles),
+    }
+
 # --- Trading API (Windows Proxy, 인증 필요) ---
 
 @app.get("/api/trade/balance", dependencies=[Depends(verify_admin)])

stock-lab/requirements.txt

@@ -1,5 +1,6 @@
 # 주식 서비스용 라이브러리
 requests==2.32.3
+httpx==0.27.2
 beautifulsoup4==4.12.3
 fastapi==0.115.6
 uvicorn[standard]==0.30.6