nanobrain-from-config

You validate a Pydantic configuration schema by enforcing the from_config factory method, which automatically checks configuration files against required schemas to prevent runtime failures during component initialization.

Configuration-driven instantiation initializes objects through validated configuration files rather than direct constructors. You need it to prevent runtime errors and architectural drift when developing framework components.

To migrate from direct constructors to from_config factory methods, ensure your components inherit from FromConfigBase and correctly implement the _get_config_class method to adhere to dependency resolution protocols.

Yes, the nanobrain framework requires schema validation for all components. You must utilize the from_config factory method and implement path resolution and dependency injection rules defined in the framework core.

Configuration validation fails because direct constructors bypass strict schema validation. You must transition to the from_config factory method to properly resolve dependencies and enforce architectural consistency.

No, you cannot use direct class constructors. The framework mandates the from_config pattern for all modules to ensure strict adherence to schema validation, dependency resolution, and path resolution protocols.