{
                "item_id": "foo",
                "description": "This is an amazing item that has a long description",
            },
        ),
        (
            "/items/bar?q=somequery",
            {
                "item_id": "bar",
                "q": "somequery",
                "description": "This is an amazing item that has a long description",
            },
        ),
        (

                "owner_id": 123,
                "description": "This is an amazing item that has a long description",
            },
        ),
        (
            "/users/1/items/bar?q=somequery",
            {
                "item_id": "bar",
                "owner_id": 1,
                "q": "somequery",
                "description": "This is an amazing item that has a long description",
            },
        ),
        (

            exclude_defaults=exclude_defaults,
            exclude_none=exclude_none,
        )

    def __hash__(self) -> int:
        # Each ModelField is unique for our purposes, to allow making a dict from
        # ModelField to its JSON Schema.
        return id(self)


def _has_computed_fields(field: ModelField) -> bool:
    computed_fields = field._type_adapter.core_schema.get("schema", {}).get(

@app.post("/items/", response_model=ItemV2)
def create_item(item: Item):
    return {"title": item.name, "summary": item.description}
```

Adding this feature was a big effort with the main objective of making it easier for the few applications still stuck in Pydantic v1 to migrate to Pydantic v2.

And with this, support for **Pydantic v1 is now deprecated** and will be **removed** from FastAPI in a future version soon.