what is the difference between `session.say()` or ...
# ask-ai
a
what is the difference between
session.say()
or
session.generate_reply()
t
Thanks for reaching out, Aditya. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
session.say() and session.generate_reply() serve distinct purposes in LiveKit: • session.say() ◦ Makes the agent speak predefined text you specify. ◦ Requires a TTS plugin for speech synthesis. ◦ Supports optional pre-synthesized audio for lower latency. ◦ Chat history inclusion is controlled via an
add_to_chat_ctx
parameter (default
True
). ◦ Use when you want exact spoken responses (greetings, confirmations, scripted text). • session.generate_reply() ◦ Prompts an LLM to dynamically generate a response based on your instructions or user input. ◦ Requires an LLM (Language Model) to be configured. ◦ Automatically adds relevant context to chat history (either instructions or user input based). ◦ Use when you want the agent to produce context-aware, AI-generated responses. Both methods return a
SpeechHandle
for tracking, support the
allow_interruptions
parameter, and trigger
speech_created
events. In short, use
say()
for fixed text and
generate_reply()
for dynamic, AI-driven responses. Sources: Agent speech and audio | LiveKit Docs | examples/voice_agents/multi_agent.py