Architecture

The Physical AI runtime has a small set of layers with clear boundaries between exported packages, inference, runtime orchestration, and hardware IO.

text

exported package
    -> InferenceModel
    -> PolicyRuntime
    -> Robot and cameras

Components

Component	Responsibility
`Manifest`	describes exported artifacts and the inference pipeline
`InferenceModel`	loads artifacts and computes actions
`PolicyRuntime`	runs the robot control loop
`Execution`	decides where inference runs
`ActionQueue`	buffers and merges action chunks
`Robot`	reads state and sends commands
`Camera`	reads image frames

physicalai is the runtime package. It should not require training dependencies in order to import or run deployment workflows.

Training packages can add commands through CLI entry points when they need to extend the runtime CLI.

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physicalai
  infer
  run
  serve

training package
  fit
  validate
  test
  predict
  export