Turn Any LangGraph Agent Into a Voice Agent in Minutes
LangChain shows how to convert an existing LangGraph agent into a voice agent using the Pipecat framework.
“Pipecat is going to handle all of the glue required to take the input audio, convert it to text, run it through our LangGraph LLM layer, then convert that back to speech in order to send it back to the end user.”
A LangChain engineer demonstrates wrapping an existing LangGraph agent in the Pipecat framework to add a voice modality, handling speech-to-text, text-to-speech, voice activity detection, and interruption-based context truncation. It's a practical engineering tutorial rather than a major industry announcement, useful to developers building multimodal agents but limited in broader signal.