被替换为了以下文本格式的错误信息：

```
1 validation error
path -> item_id
  value is not a valid integer (type=type_error.integer)

```

### `RequestValidationError` vs `ValidationError`

!!! warning "警告"

    如果您觉得现在还用不到以下技术细节，可以先跳过下面的内容。


`RequestValidationError` 是 Pydantic 的 <a href="https://docs.pydantic.dev/latest/concepts/models/#error-handling" class="external-link" target="_blank">`ValidationError`</a> 的子类。

```
1 validation error
path -> item_id
  value is not a valid integer (type=type_error.integer)
```

#### `RequestValidationError` 🆚 `ValidationError`

!!! warning
    👫 📡 ℹ 👈 👆 💪 🚶 🚥 ⚫️ 🚫 ⚠ 👆 🔜.

`RequestValidationError` 🎧-🎓 Pydantic <a href="https://docs.pydantic.dev/latest/concepts/models/#error-handling" class="external-link" target="_blank">`ValidationError`</a>.

The status codes in the 400 range mean that there was an error from the client.

Remember all those **"404 Not Found"** errors (and jokes)?

## Use `HTTPException`

To return HTTP responses with errors to the client you use `HTTPException`.

### Import `HTTPException`

```Python hl_lines="1"
{!../../../docs_src/handling_errors/tutorial001.py!}
```

### Raise an `HTTPException` in your code

                    "loc": ["body", 0, "name"],
                    "msg": "field required",
                    "type": "value_error.missing",
                },
                {
                    "loc": ["body", 0, "age"],
                    "msg": "value is not a valid decimal",
                    "type": "type_error.decimal",
                },
                {
                    "loc": ["body", 1, "name"],

                    "msg": "value is not a valid integer",
                    "type": "type_error.integer",
                },
                {
                    "loc": ["query", "q", 1],
                    "msg": "value is not a valid integer",
                    "type": "type_error.integer",
                },
            ]
        }
    )


def test_openapi_schema():

                    "title": "JsonApiError",
                    "required": ["errors"],
                    "type": "object",
                    "properties": {
                        "errors": {
                            "title": "Errors",
                            "type": "array",
                            "items": {"$ref": "#/components/schemas/Error"},
                        }
                    },
                },

                    "title": "JsonApiError",
                    "required": ["errors"],
                    "type": "object",
                    "properties": {
                        "errors": {
                            "title": "Errors",
                            "type": "array",
                            "items": {"$ref": "#/components/schemas/Error"},
                        }
                    },
                },

        raise HTTPException(status_code=422, detail="Invalid YAML")
    try:
        item = Item.model_validate(data)
    except ValidationError as e:
        raise HTTPException(status_code=422, detail=e.errors(include_url=False))

                    "title": "JsonApiError",
                    "required": ["errors"],
                    "type": "object",
                    "properties": {
                        "errors": {
                            "title": "Errors",
                            "type": "array",
                            "items": {"$ref": "#/components/schemas/Error"},
                        }
                    },
                },

from dirty_equals import IsDict
from fastapi.testclient import TestClient

from docs_src.handling_errors.tutorial005 import app

client = TestClient(app)


def test_post_validation_error():
    response = client.post("/items/", json={"title": "towel", "size": "XL"})
    assert response.status_code == 422, response.text
    assert response.json() == IsDict(
        {
            "detail": [
                {