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docs/concepts/config.md

@@ -98,6 +98,17 @@ class User:
 
 Alternatively, the [`with_config`][pydantic.config.with_config] decorator can be used to comply with type checkers.
 
+```py
+from typing_extensions import TypedDict
+
+from pydantic import ConfigDict, with_config
+
+
+@with_config(ConfigDict(str_to_lower=True))
+class Model(TypedDict):
+    x: str
+```
+
 ## Change behaviour globally
 
 If you wish to change the behaviour of Pydantic globally, you can create your own custom `BaseModel`

pydantic/config.py

@@ -913,7 +913,9 @@ class Model(BaseModel):
 
 
 def with_config(config: ConfigDict) -> Callable[[_TypeT], _TypeT]:
-    """A convenience decorator to set a [Pydantic configuration](config.md) on a `TypedDict` or a `dataclass` from the standard library.
+    """Usage docs: https://docs.pydantic.dev/2.6/concepts/config/#configuration-with-dataclass-from-the-standard-library-or-typeddict
+
+    A convenience decorator to set a [Pydantic configuration](config.md) on a `TypedDict` or a `dataclass` from the standard library.
 
     Although the configuration can be set using the `__pydantic_config__` attribute, it does not play well with type checkers,
     especially with `TypedDict`.

tests/mypy/outputs/1.0.1/pyproject-default_toml/with_config_decorator.py

@@ -0,0 +1,11 @@
+from typing import TypedDict
+
+from pydantic import ConfigDict, with_config
+
+
+@with_config(ConfigDict(str_to_lower=True))
+class Model(TypedDict):
+    a: str
+
+
+model = Model(a='ABC')