Users praise LangChain's real-time tracing for Gemini Live Voice Agents because audio-level capture and timeline views make debugging interrupted speech flows practical and readable.
Based on 7 visible X reactions from 11 accounts; directional sample.
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@_philschmid @GoogleDeepMind @LangChain Just saw your demo, the timeline view finally makes debugging those interrupted speech flows actually readable 🤯 Been doing print() debugging on that for way too long lol
@_philschmid @GoogleDeepMind @LangChain This is huge for debugging audio agents! 💪👍
@_philschmid @GoogleDeepMind @LangChain Real time agents using #gemini is really great experience.
@_philschmid @GoogleDeepMind @LangChain Great share will check it out
If you are building real-time voice agents with @GoogleDeepMind Gemini Live, you can now trace your speech-to-speech agent loops directly in @LangChain! - Speaker callback hooks capture only the exact audio your user heard before an interrupted event. - Live timeline highlighting user speech in blue, Gemini responses in orange, and custom tool executions (like a 1.29s city weather lookup). - Usage metadata separates regular text tokens from native Gemini audio tokens so you always know your exact usage footprint. To try it out. In your Google ADK agent, register LangSmithGoogleADKLivePlugin and done. [Video Demo by Caroline di Vittorio]
Users praise LangChain's real-time tracing for Gemini Live Voice Agents because audio-level capture and timeline views make debugging interrupted speech flows practical and readable.
Based on 7 visible X reactions from 11 accounts; directional sample.
Ask a question below.
Published answers will appear here.