effect-config-schema

Type-safe config validation uses schema-driven validation to enforce typed structures on configuration inputs. Define schemas with typed primitives like string and number, then load config through validation layers that catch type mismatches early and map domain errors, ensuring only valid, correctly-typed config reaches your application.

Schema-based validation applies uniformly across API request bodies, parameters, external inputs, and environment configuration. Define one schema, reuse it for multiple input sources, and apply consistent validation and transform pipelines regardless of where the data originates.

Nested config uses layered schema composition to define hierarchical structures like Server configs with host and port fields. Build nested schemas by composing primitives, then load them via Config and Layer APIs that handle multi-level validation and transformation automatically.

Validation failures trigger early error detection with domain-specific error mapping. Instead of propagating raw type mismatches, the schema layer transforms validation errors into meaningful domain errors, making debugging and user feedback more precise.

Transform hooks within the schema pipeline allow you to modify config values during validation. Apply custom logic to normalize, convert, or enrich data as it flows through the validation layer, keeping transformations coupled with their validation rules.