AI Agent SLA监控：响应时间超过承诺就告警
承诺用户3秒内回复，现在5秒了还不知道。SLA监控让超标的请求无处可藏。
💡 你将学到
承诺用户3秒内回复，现在5秒了还不知道。SLA监控让超标的请求无处可藏。
AI Agent Monitoring Guide
Monitoring AI Agents requires tracking different metrics than traditional applications.
Key metrics
- Token consumption: cost tracking
- Response time: P50/P95/P99
- Error rate: failed calls vs total
- Tool usage: which tools are called
- Quality score: LLM-based evaluation
Setup with Prometheus
from prometheus_client import Counter, Histogram
TOKENS = Counter("llm_tokens_total", "Total tokens used")
LATENCY = Histogram("llm_latency_seconds", "LLM response time")
ERRORS = Counter("llm_errors_total", "LLM call errors")
Alert thresholds
| Metric | Warning | Critical |
|---|---|---|
| Response time | >5s | >10s |
| Error rate | >5% | >10% |
| Token spike | >2x normal | >5x normal |
Monitoring lets you catch problems before users notice.
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