Validate data with Pydantic v2: BaseModel, Field validators, model validators, computed fields, discriminated unions, and custom types. Use when the user defines API schemas, validates input data, works with Pydantic models, or asks about data validation in Python. Trigger when you see dict-based data handling that should use Pydantic models.
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Pydantic Validation
Define strict, self-documenting data schemas with Pydantic v2. Pydantic validates data at the boundary between your application and the outside world, catching bad data before it causes bugs deep in business logic.
When to Use
User defines FastAPI request/response models
User validates configuration, API payloads, or form data
User asks about data validation or serialization
User builds complex nested data structures
User needs discriminated unions or custom
[Description truncada. Veja o README completo no GitHub.]
