AI agents tested in staging behave differently in production. Real data, real user interactions, and real system load expose behaviors that never appeared in controlled testing.
Behavioral drift is silent. An agent that was 97% accurate in January can degrade to 78% by March without any deployment changes — just because the distribution of inputs shifted.
Without monitoring, security incidents compound. A prompt injection attack that succeeds once may be replicated thousands of times before anyone notices.
Traditional APM tools track latency and error rates — but they don't understand what 'wrong' looks like for an AI agent. Varman establishes semantic behavioral baselines.
Varman's lightweight SDK wrapper (or zero-code proxy mode) captures every invocation, response, token count, latency, and tool call across all your agents — without modifying agent logic or adding meaningful latency.
Varman builds a behavioral baseline for each agent: normal latency distribution, typical response patterns, expected tool call sequences, and acceptable error rates. Deviations trigger alerts within 200ms.
Alerts route to PagerDuty, Slack, or your SIEM with full context — what the anomaly was, which agent, what inputs triggered it, and what the expected behavior was. Optional auto-remediation: throttle, restart, or quarantine.
Automatically builds a normal behavior model for each agent based on 7 days of production traffic.
Sub-200ms detection of behavioral deviations — before they cascade into user-visible incidents.
Full observability stack: p50/p95/p99 latency, error rates, token consumption, and tool call frequency.
Detects when one agent's anomalous output is causing downstream agents to fail — before the cascade completes.
Native integrations with PagerDuty, Slack, OpsGenie, and any webhook endpoint — with full context in every alert.
One-click root cause analysis traces anomalies back to specific inputs, model changes, or data source shifts.
Maximum anomaly detection latency
Monitoring uptime — always-on coverage
AI incidents detected before any user impact
Reduction in Mean Time To Resolution (MTTR)
Deploy behavioral monitoring across your entire agent fleet in under an hour.