Pipecat is a popular open-source framework for building voice agents (real-time ASR → LLM → TTS pipelines). It's exactly the production setting PAVO is designed for.
What we'd like
A small example notebook at notebooks/pipecat_integration.ipynb that shows:
- How to plug
PretrainedPAVORouter into a Pipecat pipeline as a model-selection callback.
- A short A/B comparison: 5 minutes of demo conversation routed through fixed-cloud vs PAVO, with the latency/energy delta plotted.
- A note on which Pipecat hooks PAVO connects to.
Why this is high-leverage
Pipecat has thousands of users in production today. A working integration is the most direct path from "research benchmark" to "running in real voice apps."
Pipecat docs: https://docs.pipecat.ai/
Looking for someone with Pipecat experience to lead this. Happy to pair-program on the PAVO side.
Pipecat is a popular open-source framework for building voice agents (real-time ASR → LLM → TTS pipelines). It's exactly the production setting PAVO is designed for.
What we'd like
A small example notebook at
notebooks/pipecat_integration.ipynbthat shows:PretrainedPAVORouterinto a Pipecat pipeline as a model-selection callback.Why this is high-leverage
Pipecat has thousands of users in production today. A working integration is the most direct path from "research benchmark" to "running in real voice apps."
Pipecat docs: https://docs.pipecat.ai/
Looking for someone with Pipecat experience to lead this. Happy to pair-program on the PAVO side.