Configuring the Inference Pipeline

Pipeline order: observation → preprocessors → runner → postprocessors → action output. See docs/how-to/inference/configure-pre-post-processing.md.

Core code:

• src/physicalai/inference/component_factory.py — ComponentRegistry, instantiate_component, _MAX_COMPONENT_DEPTH.
• src/physicalai/inference/model.py — builds processor chains from manifest specs.
• Built-ins under preprocessors/ and postprocessors/; runners under runners/.

Workflow

1. Read the manifest slice for preprocessors, postprocessors, and model.runner.
   • Done when: you know whether specs use type (registry short name) or class_path.
2. Prefer type for built-ins registered in component_factory (e.g. normalize/denormalize patterns in docs).
3. Use class_path + init_args for explicit classes: