hmo
839c6fc2ff
1. agent_spiral_watchdog.py (新增,10min cron): state.db 检测运行>15min 且消息>80条的 api session(螺旋特征), XMPP告警+去重。补 603288 事件 '无watcher看agent会话本身'盲区 2. deploy_guard: 自动merge后自动跑 verify_deployment.py, 失败项立即 XMPP告警。补'提交级回归无监控'盲区(知微stale提交事件) 3. system_hygiene_audit: 新增第7项检查'指令冻结session'——常驻session 启动时间早于SOUL.md mtime且6h内仍活跃 → 告警需bump/重启。 补'system_prompt冻结'盲区; 6h活跃度过滤防误报已遗弃session
116 lines
3.9 KiB
Python
116 lines
3.9 KiB
Python
#!/usr/bin/env python3
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"""agent_spiral_watchdog.py — agent 会话螺旋检测（每 10 分钟 cron）
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盲区①的系统性补丁（2026-07-21 603288 事件：一次重评请求在 hermes agent
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运行时里螺旋 35 分钟/37 轮工具/153k token，无任何组件察觉）。
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检测：各 profile state.db 中仍开放的 api_server session，
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启动超 15 分钟且 message_count > 80（正常调用 <20 条）→ 螺旋嫌疑。
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v1 动作：XMPP 告警 + 日志（不自动 kill——kill 需要 hermes 会话取消 API，
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待确认安全机制后升级 v2）。同一 session 只告警一次（state 文件去重）。
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"""
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import json, os, sqlite3, glob
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from datetime import datetime
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STATE_FILE = "/home/hmo/MoFin/gateway/logs/spiral_watchdog_state.json"
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LOG = "/home/hmo/MoFin/gateway/logs/spiral_watchdog.log"
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MIN_AGE_SEC = 15 * 60
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MIN_MESSAGES = 80
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def log(msg):
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line = f"[{datetime.now().isoformat(timespec='seconds')}] {msg}"
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print(line, flush=True)
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try:
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os.makedirs(os.path.dirname(LOG), exist_ok=True)
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with open(LOG, "a", encoding="utf-8") as f:
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f.write(line + "\n")
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except Exception:
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pass
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def xmpp(msg):
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try:
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import urllib.request
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req = urllib.request.Request(
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"http://127.0.0.1:5805/",
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data=json.dumps({"body": msg, "to": "hmo@yoin.fun", "type": "chat"}).encode(),
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headers={"Content-Type": "application/json"})
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urllib.request.urlopen(req, timeout=5)
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except Exception as e:
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log(f"XMPP发送失败: {e}")
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def load_state():
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try:
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with open(STATE_FILE, encoding="utf-8") as f:
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return json.load(f)
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except Exception:
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return {"alerted": []}
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def save_state(st):
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try:
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st["alerted"] = st.get("alerted", [])[-50:]
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with open(STATE_FILE, "w", encoding="utf-8") as f:
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json.dump(st, f)
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except Exception:
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pass
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def main():
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st = load_state()
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alerted = set(st.get("alerted", []))
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now_ms = datetime.now().timestamp() * 1000
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found = 0
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for db_path in glob.glob("/home/hmo/.hermes/profiles/*/state.db"):
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profile = db_path.split("/")[-2]
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try:
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conn = sqlite3.connect(f"file:{db_path}?mode=ro", uri=True, timeout=10)
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conn.row_factory = sqlite3.Row
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rows = conn.execute("""
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SELECT id, started_at, message_count, input_tokens, tool_call_count
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FROM sessions
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WHERE source = 'api_server'
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AND (ended_at IS NULL OR ended_at = 0)
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ORDER BY started_at DESC LIMIT 30
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""").fetchall()
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conn.close()
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except Exception as e:
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log(f"[{profile}] state.db 读取失败: {str(e)[:80]}")
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continue
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for r in rows:
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sa = r["started_at"] or 0
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age_sec = (now_ms - sa) / 1000
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if age_sec < MIN_AGE_SEC:
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continue
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if (r["message_count"] or 0) < MIN_MESSAGES:
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continue
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sid = r["id"]
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if sid in alerted:
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continue
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found += 1
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alerted.add(sid)
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msg = (f"🌀 agent 螺旋嫌疑\n"
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f"profile: {profile}\n"
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f"session: {sid}\n"
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f"已运行: {age_sec/60:.0f} 分钟\n"
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f"消息数: {r['message_count']} | 工具调用: {r['tool_call_count']} | "
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f"输入token: {r['input_tokens']}\n"
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f"特征类似 603288 事件（gateway agent 运行时螺旋）。"
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f"如是正常长任务可忽略；否则需人工检查 gateway。")
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log(f"SPIRAL: [{profile}] {sid} age={age_sec/60:.0f}min msgs={r['message_count']} tools={r['tool_call_count']}")
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xmpp(msg)
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st["alerted"] = sorted(alerted)
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save_state(st)
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log(f"── 结束: 新告警 {found} ──")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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