reactor-runtime 2.3.2

Reactor runtime with public model API

Reactor Runtime

A Python framework for building real-time, interactive video models. Write your ML code — Reactor handles networking, media transport, and client connections.

Installation

pip install reactor-runtime

Quick Example

from dataclasses import dataclass
from reactor_runtime.interface import Output, Video, ReactorPipeline, InputState, InputField

@dataclass
class MyOutput(Output):
    video: Video

@dataclass
class MyState(InputState):
    prompt: str = InputField(default="a sunny meadow")

class MyModel(ReactorPipeline):
    state: MyState

    def load(self, config):
        self.pipe = load_my_model(config["checkpoint"])

    def inference(self):
        while True:
            frame = self.pipe.forward(prompt=self.state.prompt)
            yield MyOutput(video=frame)

Implement inference() as a generator that yields frames. Clients can update self.state mid-generation — no restart, no re-queue.

Key Features

• Real-time streaming — frames delivered over WebRTC as they're generated
• Live interaction — clients change inputs mid-generation via typed, validated state
• No transport code — no WebRTC, WebSocket, or video encoding to manage
• Scaffold & run — reactor init creates a project; reactor run starts it locally