I am facing a strange issue when I start conversation LiveKit agent took almost 4 to 5 seconds to say its first sentence. How can I reduce this to 1s

To reduce the initial latency of a LiveKit agent's response, consider using the prewarm function to initialize necessary resources before the conversation starts. This can help in reducing the time taken for the agent to respond initially. Additionally, ensure that your agent is geographically close to the model servers to minimize network latency, as mentioned in this discussion. Would you like more details on how to implement these suggestions? Sources: - LiveKit Slack Discussion 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 Does livekit supports play.ai ?

I'm here to help with questions related to LiveKit. If you have any questions about LiveKit's features, integrations, or usage, please feel free to ask! If your question is about integrating LiveKit with a specific service or platform, please provide more details so I can assist you better. 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 how many tts does livekit support ?

LiveKit supports multiple TTS providers through its plugin system. According to the LiveKit documentation, supported TTS plugins include ElevenLabs, Google, Cartesia, and OpenAI. Each of these plugins can be used to integrate TTS capabilities into your LiveKit agents. Would you like more details on any specific TTS provider or how to integrate them with LiveKit? Sources: - LiveKit Plugins Documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 How to save audio in livekit for the session\

To save audio in LiveKit for a session, you can use the Participant Egress feature. This allows you to record a participant's audio and video tracks by providing the participant's identity. The recording process can be implemented using the LiveKit Server SDK, and you can configure the Egress to focus on audio recording. Would you like more detailed steps on setting this up? Sources: - Participant Egress Documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 But How about getting the audio data for the whole session of the room

To record the entire session's audio in a LiveKit room, you can use the RoomComposite Egress feature. This allows you to capture all participants' audio tracks in a room and save them as a single output file. You can configure the egress to output to various formats like MP4 or HLS. Would you like more detailed instructions on how to set this up? Sources: - RoomComposite Egress 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 yes setting up in azure , give me the code.

To set up RoomComposite Egress in Azure, you need to configure the egress to output to Azure Blob Storage. Here's a basic example using JavaScript:

import { EgressClient, EncodedFileOutput } from "livekit-server-sdk";

const egressClient = new EgressClient('https://your-livekit-host', 'livekit-api-key', 'livekit-api-secret');

const fileOutput = new EncodedFileOutput({
  filepath: 'your-room-name/recording.mp4',
  azure: {
    account_name: 'your-azure-account-name',
    account_key: 'your-azure-account-key',
    container_name: 'your-container-name',
  },
});

const info = await egressClient.startRoomCompositeEgress('your-room-name', {
  file: fileOutput,
}, {
  layout: 'grid', // or any other layout you prefer
});

console.log('Egress started with ID:', info.egressId);

This code sets up a RoomComposite Egress to record a session and save it to Azure Blob Storage. Make sure to replace placeholders like

'your-livekit-host'

,

'your-azure-account-name'

, and others with your actual configuration details. Would you like more details on any specific part of this setup? Sources: - RoomComposite Egress 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 In python

To set up RoomComposite Egress in Azure using Python, you can use the LiveKit Python SDK. Here's an example:

from livekit import api

# Initialize the LiveKit API client
lkapi = api.LiveKitAPI('https://your-livekit-host', 'livekit-api-key', 'livekit-api-secret')

# Configure the file output for Azure Blob Storage
file_output = api.EncodedFileOutput(
    filepath='your-room-name/recording.mp4',
    azure=api.AzureBlobUpload(
        account_name='your-azure-account-name',
        account_key='your-azure-account-key',
        container_name='your-container-name',
    )
)

# Start RoomComposite Egress
egress_info = await lkapi.egress.start_room_composite_egress(
    api.RoomCompositeEgressRequest(
        room_name='your-room-name',
        file=file_output,
        layout='grid'  # or any other layout you prefer
    )
)

print(f'Egress started with ID: {egress_info.egress_id}')

Replace placeholders like

'your-livekit-host'

,

'your-azure-account-name'

, and others with your actual configuration details. Would you like more details on any specific part of this setup? Sources: - https://livekit-users.slack.com/archives/C07FVFARRK7/p1730759958.958929 - https://livekit-users.slack.com/archives/C07FY8WHGPM/p1727992834.783299 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.