& 🚥 👆 👀 📉 🗄 ( `/openapi.json` 👆 🛠️), 👆 🔜 👀 👆 ↔ 🍕 🎯 *➡ 🛠️* 💁‍♂️:

```JSON hl_lines="22"
{
    "openapi": "3.0.2",
    "info": {
        "title": "FastAPI",
        "version": "0.1.0"
    },
    "paths": {
        "/items/": {
            "get": {
                "summary": "Read Items",
                "operationId": "read_items_items__get",
                "responses": {

```

Si vous ouvrez la documentation automatique de l'API, votre extension apparaîtra au bas du *chemin* spécifique.

<img src="/img/tutorial/path-operation-advanced-configuration/image01.png">

Et dans le fichier openapi généré (`/openapi.json`), vous verrez également votre extension dans le cadre du *chemin* spécifique :

```JSON hl_lines="22"
{
    "openapi": "3.0.2",
    "info": {

{!../../../docs_src/path_operation_advanced_configuration/tutorial005.py!}
```

If you open the automatic API docs, your extension will show up at the bottom of the specific *path operation*.

<img src="/img/tutorial/path-operation-advanced-configuration/image01.png">

And if you see the resulting OpenAPI (at `/openapi.json` in your API), you will see your extension as part of the specific *path operation* too:

```JSON hl_lines="22"
{
    "openapi": "3.1.0",

    ```Python hl_lines="17-22  24"
    {!> ../../../docs_src/path_operation_advanced_configuration/tutorial007_pv1.py!}
    ```

!!! info
    In Pydantic Version 1 hieß die Methode zum Abrufen des JSON-Schemas für ein Modell `Item.schema()`, in Pydantic Version 2 heißt die Methode `Item.model_json_schema()`.