Avatars - Zero Runtime

An avatar gives your voice agent a face: a real-time video presence that lip-syncs to the agent’s speech and publishes a video track into the room. Add one by passing an avatar to the pipeline’s avatar slot; it works with both Cascade and Realtime pipelines.

# anam_avatar = AnamAvatar(...) - see Avatar Integration below
from zeroruntime.inference import AICousticsDenoise

pipeline = Pipeline(
    stt=DeepgramSTT(), llm=OpenAILLM(), tts=ElevenLabsTTS(),
    vad=SileroVAD(), turn_detector=TurnDetector(model="echo-large"),
    avatar=anam_avatar,   # ← the agent now has a visual face
    denoise=AICousticsDenoise(model_id="quail-vf-2.2-l-16khz"),
)

// anam_avatar = AnamAvatar(...) - see Avatar Integration below
import { AICousticsDenoise } from '@zeroruntime/js-sdk/inference';

const pipeline = Pipeline({
  stt: DeepgramSTT(), llm: OpenAILLM(), tts: ElevenLabsTTS(),
  vad: SileroVAD(), turn_detector: TurnDetector({ model: 'echo-large' }),
  avatar: anam_avatar,  // ← the agent now has a visual face
  denoise: AICousticsDenoise({ model_id: 'quail-vf-2.2-l-16khz' }),
});

Integration

Use a managed avatar provider: Anam or Simli.

Options

Approach	When to use
Managed provider (Anam, Simli)	Drop-in photorealistic avatars with one API key.

Avatar providers (Anam and Simli) are available in the Python SDK.