Для этого используйте `app.add_middleware()` (как в примере с CORS).

```Python
from fastapi import FastAPI
from unicorn import UnicornMiddleware

app = FastAPI()

app.add_middleware(UnicornMiddleware, some_config="rainbow")
```

    }

    @GwtIncompatible @J2ktIncompatible private static final long serialVersionUID = 0;
  }

  /**
   * Quasi-implementation of {@link ListIterator} that works from a list of elements and a set of
   * features to support (from the enclosing {@link AbstractIteratorTester} instance). Instead of
   * throwing exceptions like {@link NoSuchElementException} at the appropriate times, it throws

    }

    /**
     * Tries to resolve the specified artifact from the artifacts of the given project.
     *
     * @param project The project to try to resolve the artifact from, must not be <code>null</code>.
     * @param requestedArtifact The artifact to resolve, must not be <code>null</code>.
     * @return The matching artifact from the project or <code>null</code> if not found. Note that this
     */

from fastapi import FastAPI, File, UploadFile
from fastapi.responses import HTMLResponse

app = FastAPI()


@app.post("/files/")
async def create_files(
    files: list[bytes] = File(description="Multiple files as bytes"),
):
    return {"file_sizes": [len(file) for file in files]}


@app.post("/uploadfiles/")
async def create_upload_files(
    files: list[UploadFile] = File(description="Multiple files as UploadFile"),
):

    /**
     * Performs the core model upgrade from current version to target version.
     * This includes namespace updates and module conversion using domtrip.
     * Returns the upgraded document.
     */
    private Document performModelUpgrade(
            Document pomDocument, UpgradeContext context, String currentVersion, String targetModelVersion) {
        // Create Editor from domtrip Document

     */
    protected List<Field> fieldList = new ArrayList<>();

    /**
     * Constructs a FacetResponse from OpenSearch aggregations.
     * Processes both field facets and query facets from the aggregation results.
     *
     * @param aggregations the OpenSearch aggregations containing facet data, may be null
     */

    this.filter = filter;
    this.containsZero = containsZero;
  }

  private static final int C1 = 0xcc9e2d51;
  private static final int C2 = 0x1b873593;

  /*
   * This method was rewritten in Java from an intermediate step of the Murmur hash function in
   * http://code.google.com/p/smhasher/source/browse/trunk/MurmurHash3.cpp, which contained the
   * following header:
   *

    }

    /**
     * @param project The project to look for resources.
     * @param filter  Optional filter function to filter the returned resources
     * @return Returns the {@link FileTree} for main resources from Java projects. Returns null if no files exist.
     */
    @Nullable
    public static FileTree getJavaMainSourceResources(Project project, Action<? super PatternFilterable> filter) {

{* ../../docs_src/websockets_/tutorial001_py310.py hl[1,46:47] *}

/// note | Technical Details

You could also use `from starlette.websockets import WebSocket`.

**FastAPI** provides the same `WebSocket` directly just as a convenience for you, the developer. But it comes directly from Starlette.

///

## Await for messages and send messages { #await-for-messages-and-send-messages }

from typing import Annotated

import pytest
from fastapi import Cookie, FastAPI
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from pydantic import BaseModel, Field

app = FastAPI()

# =====================================================================================
# Without aliases


@app.get("/optional-str")
async def read_optional_str(p: Annotated[str | None, Cookie()] = None):
    return {"p": p}