renjianbo
beff3fac8d
- Fix delete agent 500: clean up FK records (agent_llm_logs, permissions, schedules, executions, team_members) and unbind goals/tasks before delete - Remove hardcoded personality templates in Android, replace with dynamic system prompt generation from name + description - Set promptSectionsEnabled=false to bypass PromptComposer for personality - Add Tencent Cloud Linux deployment guide (Docker Compose) - Accumulated backend service updates, frontend UI fixes, Android app changes Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
82 lines
2.8 KiB
YAML
82 lines
2.8 KiB
YAML
# 天工智能体平台 — Prometheus 告警规则
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groups:
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- name: tiangong_alerts
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rules:
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# ─── 服务可用性 ───
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- alert: BackendDown
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expr: up{job="backend"} == 0
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for: 1m
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labels:
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severity: critical
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annotations:
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summary: "后端服务不可用"
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description: "FastAPI 后端 ($labels.instance) 已宕机超过 1 分钟"
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# ─── HTTP 错误率 ───
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- alert: HighErrorRate
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expr: rate(http_requests_total{job="backend", status=~"5.."}[5m]) > 0.05
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for: 5m
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labels:
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severity: critical
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annotations:
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summary: "HTTP 5xx 错误率过高"
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description: "后端 5xx 错误率 {{ $value | humanizePercentage }} 超过 5% 阈值"
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- alert: High4xxRate
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expr: rate(http_requests_total{job="backend", status=~"4.."}[5m]) > 0.2
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for: 10m
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labels:
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severity: warning
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annotations:
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summary: "HTTP 4xx 错误率偏高"
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description: "后端 4xx 错误率 {{ $value | humanizePercentage }} 超过 20%"
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# ─── 延迟 ───
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- alert: HighLatency
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expr: histogram_quantile(0.95, rate(http_request_duration_seconds_bucket{job="backend"}[5m])) > 3
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "API 延迟过高"
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description: "P95 延迟 {{ $value }}s 超过 3 秒"
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# ─── Agent 执行失败 ───
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- alert: AgentExecutionFailureRate
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expr: rate(agent_executions_total{status="failure"}[15m]) / rate(agent_executions_total[15m]) > 0.3
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for: 10m
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labels:
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severity: warning
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annotations:
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summary: "Agent 执行失败率过高"
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description: "Agent {{ $labels.agent_name }} 的失败率超过 30%"
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# ─── LLM 调用失败 ───
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- alert: LLMCallFailureRate
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expr: rate(llm_calls_total{status="failure"}[10m]) / rate(llm_calls_total[10m]) > 0.2
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "LLM 调用失败率过高"
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description: "模型 {{ $labels.model }} 调用失败率超过 20%"
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# ─── 系统资源 ───
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- alert: HighMemoryUsage
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expr: process_memory_bytes{type="rss"} / 1024 / 1024 / 1024 > 4
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for: 10m
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labels:
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severity: warning
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annotations:
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summary: "内存使用过高"
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description: "进程内存使用 {{ $value }} GB 超过 4GB"
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- alert: HighCPUUsage
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expr: process_cpu_percent > 80
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for: 10m
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labels:
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severity: warning
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annotations:
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summary: "CPU 使用率过高"
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description: "进程 CPU 使用率 {{ $value }}% 超过 80%"
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