AI Agent SLA Monitoring 2026
Promised users a reply within 3 seconds, but now it's been 5 seconds and still no response. SLA monitoring leaves no place for requests that exceed the limit to hide.
💡 What You Will Learn
Promised users a reply within 3 seconds, but now it's been 5 seconds and still no response. SLA monitoring leaves no place for requests that exceed the limit to hide.
📜 Table of Contents
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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