Thanks — I’m responding to your question about which properties to set in an

AgentSession

when using OpenAI’s Realtime LLM. Below are the key properties you’ll typically configure on the

llm

parameter using the OpenAI Realtime model plugin, plus a few recommended options and why you’d use them. Core properties to set • llm: pass an instance of

openai.realtime.RealtimeModel()

(or the equivalent TypeScript class). • model: Realtime model ID (default is

gpt-realtime

). Set if you need a different realtime model. • voice: Voice name for speech output (default

alloy

). Choose a voice like

"marin"

if you want a particular TTS voice. • temperature: Controls response randomness (common default 0.8). Adjust for more deterministic (lower) or more creative (higher) responses. • modalities: List of response modalities, e.g.

["text","audio"]

. Use

["text"]

if you want to use a separate TTS plugin instead of built-in audio. • turn_detection / turnDetection: Configure how the agent detects speaker turns. Modes include

semantic_vad

or

server_vad

. Turn detection often accepts sub-parameters such as

eagerness

,

threshold

,

silence_duration_ms

, etc. Optional / recommended settings and patterns • Use

modalities=["text"]

plus a separate

tts

config in

AgentSession

when you want to swap in a custom TTS model or plugin. • Prefer the Realtime API’s built-in turn detection by default for better context-aware behavior; tune

eagerness

or thresholds if you need faster or more conservative turn endings. • Keep

temperature

within typical safe ranges for realtime usage (commonly around 0.6–1.2 when supported) and test for the behavior you want. Example snippets • Python (conceptual):

from livekit.plugins import openai

session = AgentSession(
    llm=openai.realtime.RealtimeModel(
        voice="marin",
        temperature=0.8,
        modalities=["text", "audio"],
        turn_detection=TurnDetection(type="semantic_vad", eagerness="medium")
    ),
)

• TypeScript (conceptual):

import * as openai from '@livekit/agents-plugin-openai';

const session = new voice.AgentSession({
    llm: new openai.realtime.RealtimeModel({
        voice: "marin",
        temperature: 0.8,
        modalities: ["text", "audio"],
        turnDetection: { type: "semantic_vad", eagerness: "medium" }
    }),
});

If you’d like, tell me: • Whether you want built-in audio or a separate TTS plugin (modalities preference), and • Which turn detection behavior you prefer (faster cutoffs vs. more conservative listening). I can then give a tailored example and recommended parameter values for your use case. Sources: OpenAI Realtime API plugin guide | LiveKit Documentation | Realtime models overview | LiveKit Documentation