how to output llm content in streaming chunks and ...
# ask-aib
busy-monitor-72069
09/14/2025, 2:30 AMhow to output llm content in streaming chunks and start tts speaking before the llm produce full answer
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tall-airline-16756
09/14/2025, 2:30 AMThanks for reaching out, Harsh. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
tall-airline-16756
09/14/2025, 2:31 AMI'd love to help you out! Could you please share which tools or frameworks you're using for LLM content generation and TTS (Text-to-Speech)? For instance, are you working with LiveKit APIs, a particular LLM model, or a specific TTS service? Knowing this will really help me guide you better.
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busy-monitor-72069
09/14/2025, 2:32 AMi am using gpt 4o llm and elevenlabs tts
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tall-airline-16756
09/14/2025, 2:32 AMTo help you stream GPT-4 output in chunks and smoothly integrate it with ElevenLabs TTS for real-time speech, here’s a simple guide to get you started:
1. Stream GPT-4 Output: Take advantage of GPT-4's streaming feature to receive text in smaller pieces. This way, you can process and send the text to your TTS system as it’s being created.
2. Integrate with ElevenLabs TTS: Connect with ElevenLabs' streaming API to send those text chunks and get synthesized audio right away. Don’t forget to adjust the TTS settings like voice and model to fit your needs.
3. Real-Time Audio Playback: Set up an audio playback system that handles the incoming audio smoothly. Using a queue system to manage audio frames can really help keep the playback seamless.
If you’d like, I’m here to provide detailed code examples or walk you through any part of the process. Just let me know—I’m happy to help!
Sources: Voice Assistants | livekit/livekit_composite | DeepWiki | ElevenLabs TTS integration guide | LiveKit Docs | livekit-plugins/livekit-plugins-elevenlabs/livekit/plugins/elevenlabs/tts.p...
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busy-monitor-72069
09/14/2025, 2:33 AMgive me detailed example for it
t
tall-airline-16756
09/14/2025, 2:33 AMI'd love to walk you through a detailed example of how to stream GPT-4 output in chunks and seamlessly integrate it with ElevenLabs TTS for real-time speech. Let's dive in together:
1. Stream GPT-4 Output:
Copy code
from livekit.plugins import openai
# Initialize GPT-4 streaming
llm = openai.LLM(model="gpt-4o")
# Process GPT-4 output in chunks
async for chunk in llm.chat(stream=chat_context):
text_chunk = chunk.text
# Send text chunk to TTS
tts_stream.push_text(text_chunk) Copy code
from livekit.plugins import elevenlabs
# Initialize ElevenLabs TTS
tts = elevenlabs.TTS(
voice_id="your_voice_id",
model="eleven_multilingual_v2"
)
# Start TTS streaming
tts_stream = tts.stream() Copy code
import asyncio
from livekit import rtc
# Set up audio source
source = rtc.AudioSource(tts.sample_rate, tts.num_channels)
track = rtc.LocalAudioTrack.create_audio_track("tts-audio", source)
# Queue for audio frames
audio_queue = asyncio.Queue()
async def play_audio():
while True:
frame = await audio_queue.get()
if frame is None:
break
source.capture_frame(frame)
# Process TTS audio frames
async def process_tts():
async for audio_frame in tts_stream:
await audio_queue.put(audio_frame)
await audio_queue.put(None)
# Run playback and TTS processing concurrently
asyncio.run(asyncio.gather(play_audio(), process_tts()))b
busy-monitor-72069
09/14/2025, 6:21 AMcan you give me a docs link that i can refer to for validating your answer
t
tall-airline-16756
09/14/2025, 6:21 AMHi there! I understand you're looking for documentation on streaming GPT-4 output into ElevenLabs TTS in real time. While there isn't a single link that covers this exact process, I’m happy to guide you to some helpful resources that can make things clearer:
• ElevenLabs TTS Integration Guide: This will walk you through setting up ElevenLabs within LiveKit.
• OpenAI TTS Integration Guide: Here, you’ll find details on integrating OpenAI models, including the
gpt-4o-mini-ttsgpt-4o-mini-tts