{ "timestamp": "2026-08-23T02:00:35.954871+00:00", "metrics": { "daemon": { "uptime_minutes": 1967, "total_ticks": 113874, "deep_thoughts": 23984, "alerts_sent": 0, "solutions_applied": 1, "learned_solutions": 0, "errors": 22943, "crashes": 6145, "model_calls": 13685, "model_tokens": 18470953 }, "cron": { "total_jobs": 2, "ok_jobs": 0, "failed_jobs": 0, "no_agent_jobs": 0, "agent_jobs": 0 }, "skill": { "total_skills": 247, "avg_score": 5.0, "grade_distribution": { "A": 0, "B": 80, "C": 86, "D": 81 }, "needs_attention": 110, "categories": 42 }, "model": { "total_models_tested": 17, "stable_models": 6, "unstable_models": 0, "dead_models": 11, "fastest_model": "sensenova-6.8-flash-lite", "fastest_latency": 0 }, "timestamp": "2026-08-23T02:00:35.954830+00:00" }, "bottlenecks": [ { "area": "model", "severity": "info", "desc": "大量模型不可用 (11个dead)", "suggestion": "可能 NewAPI 后端负载高,特定时段再测" }, { "area": "skill", "severity": "low", "desc": "110个技能需关注", "suggestion": "逐步清理或升级这些技能" }, { "area": "daemon", "severity": "high", "desc": "Daemon 崩溃 6145 次", "suggestion": "检查 daemon.log 定位崩溃原因" }, { "area": "daemon", "severity": "medium", "desc": "Daemon 有 22943 个错误", "suggestion": "审查 daemon 日志中的错误模式" } ], "trends": [ { "type": "negative", "desc": "Daemon 错误率 11.66/分钟" }, { "type": "neutral", "desc": "模型稳定率 35%(6/17)" } ], "recommendations": [ { "priority": "info", "area": "model", "action": "可能 NewAPI 后端负载高,特定时段再测", "expected_impact": "", "effort": "30min" }, { "priority": "low", "area": "skill", "action": "逐步清理或升级这些技能", "expected_impact": "", "effort": "5min" }, { "priority": "high", "area": "daemon", "action": "检查 daemon.log 定位崩溃原因", "expected_impact": "", "effort": "30min" }, { "priority": "medium", "area": "daemon", "action": "审查 daemon 日志中的错误模式", "expected_impact": "", "effort": "15min" }, { "priority": "medium", "area": "skill", "action": "运行 skill-manager.py archive 归档低分技能(D级44个)", "expected_impact": "减少技能库噪音,提升检索质量", "effort": "20min" }, { "priority": "info", "area": "model", "action": "考虑将默认模型切换到 sensenova-6.8-flash-lite(当前最快稳定模型)", "expected_impact": "提升响应速度", "effort": "2min" }, { "priority": "info", "area": "system", "action": "运行 optimizer.py collect 定期采集指标,积累数据后分析更准确", "expected_impact": "更精准的优化建议", "effort": "0min" } ], "health_score": 70 }