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Ben Cherry
2025-07-17 15:48:36 -04:00
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README.md
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@@ -11,12 +11,12 @@ The starter project includes:
- A simple voice AI assistant based on the [Voice AI quickstart](https://docs.livekit.io/agents/start/voice-ai/)
- Voice AI pipeline based on [OpenAI](https://docs.livekit.io/agents/integrations/llm/openai/), [Cartesia](https://docs.livekit.io/agents/integrations/tts/cartesia/), and [Deepgram](https://docs.livekit.io/agents/integrations/llm/deepgram/)
- Easily integrate your preferred [LLM](https://docs.livekit.io/agents/integrations/llm/), [STT](https://docs.livekit.io/agents/integrations/stt/), and [TTS](https://docs.livekit.io/agents/integrations/tts/) instead, or swap to a realtime model like the [OpenAI Realtime API](https://docs.livekit.io/agents/integrations/realtime/openai)
- Eval suite based on the LiveKit Agents [testing & evaluation framework](https://docs.livekit.io/agents/testing/)
- Eval suite based on the LiveKit Agents [testing & evaluation framework](https://docs.livekit.io/agents/build/testing/)
- [LiveKit Turn Detector](https://docs.livekit.io/agents/build/turns/turn-detector/) for contextually-aware speaker detection, with multilingual support
- [LiveKit Cloud enhanced noise cancellation](https://docs.livekit.io/home/cloud/noise-cancellation/)
- Integrated [metrics and logging](https://docs.livekit.io/agents/build/metrics/)
This starter app is compatible with [SIP-based telephony](https://docs.livekit.io/agents/start/telephony/) or any [custom web/mobile frontend](https://docs.livekit.io/agents/start/frontend/).
This starter app is compatible with any [custom web/mobile frontend](https://docs.livekit.io/agents/start/frontend/) or [SIP-based telephony](https://docs.livekit.io/agents/start/telephony/).
## Dev Setup
@@ -78,7 +78,7 @@ To add a phone number, see the [agents telephony guide](https://docs.livekit.io/
## Tests and evals
This project includes a complete suite of evals, based on the LiveKit Agents [testing & evaluation framework](https://docs.livekit.io/agents/testing/). To run them, use `pytest`.
This project includes a complete suite of evals, based on the LiveKit Agents [testing & evaluation framework](https://docs.livekit.io/agents/build/testing/). To run them, use `pytest`.
```console
uv run pytest evals