Pydantic V2 Strict Data Modeling

About

This skill provides standardized implementation patterns for Pydantic V2, specifically focusing on the mandatory use of strict mode to prevent silent type conversions. It guides users through modern V2 syntax, including ConfigDict for model configuration, updated field and model validators, and optimized serialization methods like model_dump. By enforcing best practices and identifying deprecated V1 anti-patterns, this skill ensures that data contracts, API schemas, and configuration classes are robust, performant, and type-safe.

Key Features

• Strict mode enforcement via ConfigDict to prevent silent type coercion
• Advanced field aliasing for mapping external API data to Pythonic names
• Modern Pydantic V2 validator syntax for field and model-level logic
• 0 GitHub stars
• Type-safe nested model composition for complex data structures
• Standardized serialization and validation using model_dump and model_validate

Use Cases

• Validating incoming API request payloads and outgoing response schemas
• Defining strict Data Transfer Objects (DTOs) for inter-service communication
• Creating immutable, type-safe configuration management systems