Skip to main content

HeyGen avatar plugin for Vision Agents

Project description

HeyGen Avatar Plugin for Vision Agents

Add realistic avatar video to your AI agents using HeyGen's streaming avatar API.

Features

  • 🎭 Realistic Avatars: Use HeyGen's high-quality avatars with natural movements
  • 🎤 Automatic Lip-Sync: Avatar automatically syncs with audio from any TTS provider
  • 🚀 WebRTC Streaming: Low-latency real-time video streaming via WebRTC
  • 🔌 Easy Integration: Works seamlessly with Vision Agents framework
  • 🎨 Customizable: Configure avatar, quality, resolution, and more

Installation

pip install vision-agents-plugins-heygen

Or with uv:

uv pip install vision-agents-plugins-heygen

Quick Start

import asyncio
from uuid import uuid4
from dotenv import load_dotenv

from vision_agents.core import User, Agent
from vision_agents.plugins import cartesia, deepgram, getstream, gemini, heygen
from vision_agents.plugins.heygen import VideoQuality

load_dotenv()


async def start_avatar_agent():
    agent = Agent(
        edge=getstream.Edge(),
        agent_user=User(name="AI Assistant with Avatar", id="agent"),
        instructions="You're a friendly AI assistant.",

        llm=gemini.LLM(),
        tts=cartesia.TTS(),
        stt=deepgram.STT(),

        # Add HeyGen avatar
        processors=[
            heygen.AvatarPublisher(
                avatar_id="default",
                quality=VideoQuality.HIGH
            )
        ]
    )

    call = agent.edge.client.video.call("default", str(uuid4()))

    async with agent.join(call):
        await agent.simple_response("Hello! I'm your AI assistant with an avatar.")
        await agent.finish()


if __name__ == "__main__":
    asyncio.run(start_avatar_agent())

Configuration

Environment Variables

Set your HeyGen API key:

HEYGEN_API_KEY=your_heygen_api_key_here

AvatarPublisher Options

from vision_agents.plugins.heygen import VideoQuality

heygen.AvatarPublisher(
    avatar_id="default",  # HeyGen avatar ID
    quality=VideoQuality.HIGH,  # Video quality: VideoQuality.LOW, VideoQuality.MEDIUM, or VideoQuality.HIGH
    resolution=(1920, 1080),  # Output resolution (width, height)
    api_key=None,  # Optional: override env var
)

Usage Examples

With Realtime LLM

from vision_agents.plugins import gemini, heygen, getstream

agent = Agent(
    edge=getstream.Edge(),
    agent_user=User(name="Realtime Avatar AI"),
    instructions="Be conversational and responsive.",

    llm=gemini.Realtime(fps=2),  # No separate TTS needed

    processors=[
        heygen.AvatarPublisher(avatar_id="professional_presenter")
    ]
)

call = agent.edge.client.video.call("default", str(uuid4()))

async with agent.join(call):
    await agent.finish()

With Multiple Processors

from vision_agents.plugins import ultralytics, heygen

agent = Agent(
    edge=getstream.Edge(),
    agent_user=User(name="Fitness Coach"),
    instructions="Analyze user poses and provide feedback.",

    llm=gemini.Realtime(fps=3),

    processors=[
        # Process incoming user video
        ultralytics.YOLOPoseProcessor(model_path="yolo11n-pose.pt"),
        # Publish avatar video
        heygen.AvatarPublisher(avatar_id="fitness_trainer")
    ]
)

How It Works

  1. Connection: Establishes WebRTC connection to HeyGen's streaming API
  2. Audio Input: Receives audio from your TTS provider or Realtime LLM
  3. Avatar Generation: HeyGen generates avatar video with lip-sync
  4. Video Streaming: Streams avatar video to call participants via GetStream Edge

Requirements

  • Python 3.10+
  • HeyGen API key (get one at heygen.com)
  • GetStream account for video calls
  • TTS provider (Cartesia, ElevenLabs, etc.) or Realtime LLM

Troubleshooting

Connection Issues

If you experience connection problems:

  1. Check your HeyGen API key is valid
  2. Ensure you have network access to HeyGen's servers
  3. Check firewall settings for WebRTC traffic

Video Quality

To optimize video quality:

  • Use quality=VideoQuality.HIGH for best results
  • Increase resolution if bandwidth allows
  • Ensure stable internet connection

API Reference

AvatarPublisher

Main class for publishing HeyGen avatar video.

Methods:

  • publish_video_track(): Returns video track for streaming
  • state(): Returns current state information
  • close(): Clean up resources

License

MIT

Links

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vision_agents_plugins_heygen-0.3.8.tar.gz (12.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vision_agents_plugins_heygen-0.3.8-py3-none-any.whl (32.7 kB view details)

Uploaded Python 3

File details

Details for the file vision_agents_plugins_heygen-0.3.8.tar.gz.

File metadata

File hashes

Hashes for vision_agents_plugins_heygen-0.3.8.tar.gz
Algorithm Hash digest
SHA256 b0025fdf1e94fe88d5df5c79f8bd238f0b18de5d24423842b0e2507e7b96ddb0
MD5 cea3c0a6fd2ccfdd2e6125db1870aa4a
BLAKE2b-256 aff01a696a512a515bae95ccc9cc70e542ba89ee4f04912a7794b4f7aedea028

See more details on using hashes here.

File details

Details for the file vision_agents_plugins_heygen-0.3.8-py3-none-any.whl.

File metadata

File hashes

Hashes for vision_agents_plugins_heygen-0.3.8-py3-none-any.whl
Algorithm Hash digest
SHA256 5f269453c444e23ffed3e6f1ebc01674509476dd95a2b2f5664eaa7fd78020ca
MD5 941c8f13f0ebd4cd5ca66a4a5db57f29
BLAKE2b-256 f4eadd05e24fdbb1ebb57f73f7dcd021c50fd7311807fba136d55829963b36a4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page