Can you help me to understand, how user speech is converted to text and displays as "text" in the chat. I am using AWS TTS and AWS STT with OpenAI, the agent is powered by Python.

Thanks for reaching out, Gopi. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

In the frontend, I am using Livekit Client sdk in next js application. The Livekit Agent is playing as Sales Representatvie Assistant. This is how it is handled in

AgentSession

class:

stt=aws.STT(language="en-US"),
        llm=openai.LLM(base_url=llm_base_url, api_key=llm_api_key, model="gpt-4o", temperature=0.4),
        tts=aws.TTS(voice="Ruth", speech_engine="generative", language="en-US", region="eu-central-1"),

Thanks so much for sharing your setup! Integrating AWS STT and TTS with LiveKit is definitely possible through the Python-based Agents framework, just like you have in your

AgentSession

class. That said, the LiveKit Client SDK in a Next.js app doesn’t directly support AWS speech-to-text and text-to-speech features out of the box. To make sure I’m guiding you in the right direction, could you help me understand a bit more? • Are you aiming to implement this functionality on the client side (in the browser with Next.js) or on the server side (using a Node.js backend with LiveKit)? • Would you like some help on how to connect your Python-based agent with your Next.js frontend? Once I have a clearer picture, I’ll be able to suggest the best approach tailored to your needs. Looking forward to your thoughts! Sources: Amazon Polly TTS integration guide | LiveKit Docs | AWS AI and LiveKit | LiveKit Docs | Amazon Transcribe STT integration guide | LiveKit Docs

I want to understand from where Next.js frontend receives the user's transcribed text?

Thanks for sharing your setup! It sounds like your Next.js frontend is receiving the user's transcribed text from the Python-based agent, which uses AWS STT to convert speech to text and then sends that text back to the frontend through some communication channel. To help you better, could you please confirm how the agent and frontend are currently talking to each other? For example: • Are you using WebSockets, REST APIs, or maybe another method to send the transcribed text from the agent to the frontend? • Is the LiveKit Client SDK part of this data transfer, or is it managed separately? Getting a clear picture of this will really help me guide you in the right direction. Looking forward to your reply!

In the Next.js frontend LiveKit Client SDK is used. I am not sure how the communication is happening, but I am assuming it is through WebRTC.

I'm glad you're exploring how the Next.js frontend receives the user's transcribed text through the LiveKit Client SDK using WebRTC. The transcriptions are sent as text streams on the

lk.transcription

topic. To manage these transcriptions in your frontend, you can use the

registerTextStreamHandler

method provided by the SDK, like this:

room.registerTextStreamHandler('lk.transcription', async (reader, participantInfo) => {
  const message = await reader.readAll();
  if (reader.info.attributes['lk.transcribed_track_id']) {
    console.log(`New transcription from ${participantInfo.identity}: ${message}`);
  }
});

This handy method listens for real-time transcription data, and it can also include useful metadata like synchronization timing if that's enabled in your agent's configuration. If you’d like, I’m here to help you step-by-step with implementing this in your Next.js application—just let me know! Sources: complex-agents/teleprompter/README.md | Agents v0.x migration guide - Node.js | LiveKit Docs | Web and mobile frontends | LiveKit Docs | Text and transcriptions | LiveKit Docs | AI voice agents | LiveKit Docs

yes guide me to implement this

To help you smoothly implement transcription handling in your Next.js application using the LiveKit Client SDK, here’s a friendly step-by-step guide: 1. Set up the LiveKit Client SDK: First, let’s get the LiveKit Client SDK installed in your Next.js project:

npm install livekit-client

2. Connect to a LiveKit Room: Next, use the SDK to connect to a room. Just make sure you have your LiveKit server URL, API key, and secret ready:

import { connect } from 'livekit-client';

const room = await connect('LIVEKIT_SERVER_URL', 'TOKEN');

3. Register a Text Stream Handler: Now, listen for transcriptions on the

lk.transcription

topic like this: `room.registerTextStreamHandler('lk.transcription', async (reader, participantInfo) => { const message = await reader.readAll(); if (reader.info.attributes['lk.transcribed_track_id']) { console.log(

New transcription from ${participantInfo.identity}: ${message}

); } });` 4. Display Transcriptions: You can then update your UI to show the transcriptions in real time—maybe by adding messages to a chat window or showing them as subtitles. 5. Test the Integration: Finally, run your Next.js app and check that the transcriptions come through and display properly. If you hit any bumps along the way or want me to explain anything further, please don’t hesitate to reach out. I’m here to help!