Pydantic: Configuring Models with `model_config`
Think of `model_config` as the settings panel for your Pydantic models, letting you change validation rules like string length or immutability. Use it to enforce global constraints or make models immutable. The footgun is using the old `class Config:` from V1.
Think of `model_config` as the settings panel for your Pydantic models. It's a dictionary that lets you centrally control validation behavior, like setting maximum string lengths, enabling strict type checking, or making models immutable (`frozen=True`). It's used on `BaseModel` and dataclasses to enforce application-wide rules. The most common mistake is using the old `class Config:` from Pydantic V1; always use the `model_config = ConfigDict(...)` attribute for modern Pydantic.
Read the original → pydantic.dev
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