worker-factory

Scaffolding a GeoSupply worker for Layer 5 deployments is automated by generating a ready-to-deploy template using the worker factory. This produces production-ready code with minimal boilerplate for your chosen archetype.

You can generate templates for static decoders, translation and analysis workers, verifier and RAG workers, and CPU-only ML workers. Each template includes integrated test scaffolds for fast validation.

Automatic audit registration for generated workers is handled via Python's __subclasses__ discovery mechanism. This approach dynamically detects and registers new worker archetypes to ensure compliance.

Yes, generating test scaffolds alongside production-ready worker boilerplate is a core feature. The integrated test scaffold allows you to perform fast validation and compliance checks immediately after generation.

No external dependencies are required to run the worker factory. It operates independently to provide reusable foundations and templates for spinning up production-grade GeoSupply workers.

The best way to reduce setup time when creating multiple GeoSupply worker archetypes is to use an automated scaffolding tool. This ensures consistency across archetypes by providing reusable templates with minimal boilerplate.