Initial Checks

• I have searched Google & GitHub for similar requests and couldn't find anything
• I have read and followed the docs and still think this feature is missing

Description

Pydantic provides a way to create models dynamically (create_model).
The problem is that mypy always complain about these models:

a.py content:

from pydantic import create_model, BaseModel
from pydantic.fields import Field

GeneratedModel = create_model(
    "MyModel",
    some_field=(int, Field(default=0))
)


class MyModel(BaseModel):
    a: int
    model: GeneratedModel

$ mypy a.py

a.py:12: error: Variable "a.GeneratedModel" is not valid as a type  [valid-type]
a.py:12: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases
Found 1 error in 1 file (checked 1 source file)

Currently, you are forced to add # type: ignore[valid-type] on each line where this model is used, which is a problem because it adds a lot of noise but also disables the check for all variables in the same line as this type: ignore.

I've asked in mypy github project and developers suggested pydantic's mypy plugin could be updated to use get_dynamic_class_hook for pydantic's create_model use-case.

Affected Components

• Compatibility between releases
• Data validation/parsing
• Data serialization - .model_dump() and .model_dump_json()
• JSON Schema
• Dataclasses
• Model Config
• Field Types - adding or changing a particular data type
• Function validation decorator
• Generic Models
• Other Model behaviour - model_construct(), pickling, private attributes, ORM mode
• Plugins and integration with other tools - mypy, FastAPI, python-devtools, Hypothesis, VS Code, PyCharm, etc.