pydantic>=2.7.0,<3.0.0
```

And you would normally install those package dependencies with `pip`, for example:

<div class="termy">

```console
$ pip install -r requirements.txt
---> 100%
Successfully installed fastapi pydantic
```

</div>

/// info

There are other formats and tools to define and install package dependencies.

///

### Create the **FastAPI** Code

from fastapi.testclient import TestClient

from docs_src.dependencies.tutorial008b import app

client = TestClient(app)


def test_get_no_item():
    response = client.get("/items/foo")
    assert response.status_code == 404, response.text
    assert response.json() == {"detail": "Item not found"}


def test_owner_error():
    response = client.get("/items/plumbus")
    assert response.status_code == 400, response.text

It is provided directly by Starlette, but you can import it from `fastapi`:

```python
from fastapi import WebSocket
```

/// tip

When you want to define dependencies that should be compatible with both HTTP and WebSockets, you can define a parameter that takes an `HTTPConnection` instead of a `Request` or a `WebSocket`.

///

::: fastapi.WebSocket
    options:
        members:

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py39


@pytest.fixture(name="client")
def get_client():
    from docs_src.dependencies.tutorial006_an_py39 import app

    client = TestClient(app)
    return client


@needs_py39
def test_get_no_headers(client: TestClient):
    response = client.get("/items/")
    assert response.status_code == 422, response.text

import pytest
from fastapi import FastAPI, File, Form, UploadFile
from fastapi.dependencies.utils import (
    multipart_incorrect_install_error,
    multipart_not_installed_error,
)


def test_incorrect_multipart_installed_form(monkeypatch):
    monkeypatch.delattr("multipart.multipart.parse_options_header", raising=False)
    with pytest.raises(RuntimeError, match=multipart_incorrect_install_error):
        app = FastAPI()

        @app.post("/")

async def verify_key(x_key: Annotated[str, Header()]):
    if x_key != "fake-super-secret-key":
        raise HTTPException(status_code=400, detail="X-Key header invalid")
    return x_key


app = FastAPI(dependencies=[Depends(verify_token), Depends(verify_key)])


@app.get("/items/")
async def read_items():
    return [{"item": "Portal Gun"}, {"item": "Plumbus"}]


@app.get("/users/")
async def read_users():

FROM ubuntu:20.04@sha256:fa17826afb526a9fc7250e0fbcbfd18d03fe7a54849472f86879d8bf562c629e as builder
################################################################################

# Install devtoolset build dependencies
COPY setup.packages.sh setup.packages.sh
COPY builder.packages.txt builder.packages.txt
RUN /setup.packages.sh /builder.packages.txt
RUN update-ca-certificates

      with:
        version: "0.4.15"
        enable-cache: true
        cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
    - name: Install GitHub Actions dependencies
      run: uv pip install -r requirements-github-actions.txt
    - name: Label Approved
      run: python ./scripts/label_approved.py
      env:
        TOKEN: ${{ secrets.GITHUB_TOKEN }}
        CONFIG: >

    header_params: List[ModelField] = field(default_factory=list)
    cookie_params: List[ModelField] = field(default_factory=list)
    body_params: List[ModelField] = field(default_factory=list)
    dependencies: List["Dependant"] = field(default_factory=list)
    security_requirements: List[SecurityRequirement] = field(default_factory=list)
    name: Optional[str] = None
    call: Optional[Callable[..., Any]] = None

    url = "https://github.com/bazelbuild/rules_java/releases/download/5.3.5/rules_java-5.3.5.tar.gz",
)

# Initialize the TensorFlow repository and all dependencies.
#
# The cascade of load() statements and tf_workspace?() calls works around the
# restriction that load() statements need to be at the top of .bzl files.