openrtc 0.0.5

Run multiple LiveKit voice agents in a single shared worker process.

OpenRTC

OpenRTC is a Python framework for running multiple LiveKit voice agents in a single worker process with shared prewarmed models.

Decorator-based discovery with shared defaults

Use @agent_config(...) on a standard LiveKit Agent subclass to attach optional discovery metadata. Then set shared providers once on AgentPool and only override the values that differ per agent.

from pathlib import Path

from openrtc import AgentPool, agent_config
from livekit.agents import Agent


@agent_config(name="restaurant")
class RestaurantAgent(Agent):
    ...


pool = AgentPool(
    default_stt="deepgram/nova-3:multi",
    default_llm="openai/gpt-4.1-mini",
    default_tts="cartesia/sonic-3",
)
pool.discover(Path("./agents"))
pool.run()

The CLI also accepts shared defaults for discovered agents:

openrtc list \
  --agents-dir ./examples/agents \
  --default-stt deepgram/nova-3:multi \
  --default-llm openai/gpt-4.1-mini \
  --default-tts cartesia/sonic-3

For backward compatibility, discovery still supports legacy module-level AGENT_* variables, but the decorator is the preferred pattern.