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("gemini-2.0-flash"),
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()))
with await 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()))
with await 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
- Connection: Establishes WebRTC connection to HeyGen's streaming API
- Audio Input: Receives audio from your TTS provider or Realtime LLM
- Avatar Generation: HeyGen generates avatar video with lip-sync
- 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:
- Check your HeyGen API key is valid
- Ensure you have network access to HeyGen's servers
- Check firewall settings for WebRTC traffic
Video Quality
To optimize video quality:
- Use
quality=VideoQuality.HIGHfor 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 streamingstate(): Returns current state informationclose(): Clean up resources
License
MIT
Links
Project details
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