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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://...")

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