performance

Observability Stack for Voice AI

30 January 2026 · 1 min read

Voice AI has a unique observability challenge: a single conversation spans multiple services in real-time.

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Our Stack

Traces: OpenTelemetry with custom span attributes for audio quality and model confidence
Metrics: Prometheus with Grafana tracking p50/p95/p99 by service and region
Logs: Structured JSON with conversation ID as correlation key
Alerts: PagerDuty with custom runbooks per alert type

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What We Monitor

End-to-end conversation latency (target: <500ms)
Speech-to-text accuracy by language
LLM response quality via automated evaluation
TTS naturalness scores from user feedback

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