This guide provides instructions for integrating LiveKit with the TrueFoundry AI Gateway for real-time AI voice and video applications.

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What is LiveKit?

LiveKit is an open-source platform for building real-time audio and video applications with AI agents. With TrueFoundry AI Gateway integration, you can route your LiveKit AI agent requests through the Gateway for enhanced security, cost tracking, and access controls.

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Prerequisites

Before integrating LiveKit with TrueFoundry, ensure you have:
  1. TrueFoundry Account: Create a TrueFoundry account and follow the instructions in our Gateway Quick Start Guide
  2. LiveKit Account: Set up a LiveKit Cloud account or deploy LiveKit server
  3. Python Environment: Python 3.8+ with pip package manager

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Setup Process

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Step 1: Install Dependencies

pip install \
    "livekit-agents[deepgram,openai,cartesia,silero]~=1.0" \
    "python-dotenv"
Add to your .env file: 
# TrueFoundry Configuration
OPENAI_API_KEY=<Your TrueFoundry API Key>
TRUEFOUNDRY_BASE_URL=<Your TrueFoundry Gateway URL>
TRUEFOUNDRY_MODEL_ID=<Your TrueFoundry Model ID>

# Third-party Services
DEEPGRAM_API_KEY=<Your Deepgram API Key>
CARTESIA_API_KEY=<Your Cartesia API Key>

# LiveKit Configuration
LIVEKIT_API_KEY=<Your LiveKit API Key>
LIVEKIT_API_SECRET=<Your LiveKit API Secret>
LIVEKIT_URL=<Your LiveKit Server URL>
You will get your API key, base URL, and model name directly from the unified code snippet above in the TrueFoundry playground. Copy these values into your .env file as shown.

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Step 2: Basic LiveKit Agent with TrueFoundry

Create a simple LiveKit agent that uses TrueFoundry’s AI Gateway: 
import os
from dotenv import load_dotenv
from livekit import agents
from livekit.agents import AgentSession, Agent, RoomInputOptions
from livekit.plugins import (
    openai,
    cartesia,
    deepgram,
    silero,
)

load_dotenv()


class TrueFoundryAssistant(Agent):
    def __init__(self) -> None:
        super().__init__(
            instructions="You are a helpful AI assistant powered by TrueFoundry. "
                        "You can help with questions, provide information, and have natural conversations. "
                        "Keep your responses conversational and helpful."
        )


async def entrypoint(ctx: agents.JobContext):
    # Create session with TrueFoundry Gateway integration
    session = AgentSession(
        stt=deepgram.STT(
            model="nova-2", 
            language="en"
        ),
        llm=openai.LLM(
            model=os.getenv("TRUEFOUNDRY_MODEL_ID", "openai-main/gpt-4o"),
            api_key=os.getenv("OPENAI_API_KEY"),  # Your TrueFoundry API Key
            base_url=os.getenv("TRUEFOUNDRY_BASE_URL"),  # Your TrueFoundry Gateway URL
            temperature=0.7,
        ),
        tts=cartesia.TTS(
            model="sonic-english",
            voice="79a125e8-cd45-4c13-8a67-188112f4dd22"  # Pleasant voice
        ),
        vad=silero.VAD.load(
            min_speaking_duration=0.3,
            min_silence_duration=0.8,
        ),
    )

    await ctx.connect()

    # Start the session with the assistant
    await session.start(
        room=ctx.room,
        agent=TrueFoundryAssistant(),
    )

    # Send initial greeting
    await session.generate_reply(
        instructions="Welcome the user warmly and let them know you're powered by TrueFoundry. "
                   "Ask how you can help them today."
    )


if __name__ == "__main__":
    agents.cli.run_app(agents.WorkerOptions(entrypoint_fnc=entrypoint))

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Step 3: Run Your Agent

python livekit_agent.py dev
That’s it! Your LiveKit agent is now integrated with TrueFoundry Gateway and ready for real-time AI conversations.