Voice AI infrastructure monitoring for LiveKit agents
Project description
damasqas_livekit
Voice AI infrastructure monitoring for LiveKit agents. One line to monitor everything.
Installation
pip install damasqas_livekit
Usage
import damasqas_livekit
# After starting your AgentSession:
damasqas_livekit.monitor(session)
Set DAMASQAS_TOKEN as an environment variable (your workspace API key).
What It Captures
- Pipeline metrics — STT, LLM, TTS latencies per turn (grouped by speech_id)
- Tool calls — function name, duration, success/failure
- Transcripts — user and agent speech text
- State transitions — agent lifecycle (listening, thinking, speaking)
- Session close — end reason, errors, total turns
All telemetry is batched and sent asynchronously. The SDK never blocks or crashes your voice pipeline.
Configuration
| Environment Variable | Required | Default |
|---|---|---|
DAMASQAS_TOKEN |
Yes | — |
DAMASQAS_URL |
No | https://connect.damasqas.com/api/v1/voice/ingest |
Or pass them directly:
damasqas_livekit.monitor(session, token="your-token", url="https://...")
Project details
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