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This release is a pre-release and may not be stable for production use.

livekit-plugins-runway

LiveKit Agents plugin for Runway Characters avatar integration.

Your LiveKit agent owns the full conversational AI pipeline (STT, LLM, TTS). Runway provides the visual layer — audio in, avatar video out.

Installation

pip install livekit-plugins-runway

Usage

from livekit.agents import AgentSession, Agent, RoomOutputOptions
from livekit.plugins import runway

async def entrypoint(ctx):
    session = AgentSession()

    avatar = runway.AvatarSession(
        avatar_id="your-custom-avatar-id",
        # api_key defaults to RUNWAYML_API_SECRET env var
    )
    await avatar.start(session, room=ctx.room)

    await session.start(
        agent=Agent(instructions="Talk to me!"),
        room=ctx.room,
        room_output_options=RoomOutputOptions(audio_enabled=False),
    )

Using a preset avatar

avatar = runway.AvatarSession(
    preset_id="runway-preset-slug",
)

With a session duration limit

avatar = runway.AvatarSession(
    avatar_id="your-custom-avatar-id",
    max_duration=300,
)

Configuration

Parameter Env var Description
api_key RUNWAYML_API_SECRET Runway API key
api_url RUNWAYML_BASE_URL API base URL (default: https://api.dev.runwayml.com)
avatar_id — Custom avatar ID (mutually exclusive with preset_id)
preset_id — Preset avatar slug (mutually exclusive with avatar_id)
max_duration — Maximum session duration in seconds

LiveKit credentials (LIVEKIT_URL, LIVEKIT_API_KEY, LIVEKIT_API_SECRET) are read from environment variables or can be passed to avatar.start().

Release files for livekit-plugins-runway 1.6.11rc1

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Source distribution for livekit-plugins-runway 1.6.11rc1
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