### OpenAPI-specific `examples`

Since before **JSON Schema** supported `examples` OpenAPI had support for a different field also called `examples`.

This **OpenAPI-specific** `examples` goes in another section in the OpenAPI specification. It goes in the **details for each *path operation***, not inside each JSON Schema.

            by_alias: bool = True,
            exclude_unset: bool = False,
            exclude_defaults: bool = False,
            exclude_none: bool = False,
        ) -> Any:
            # What calls this code passes a value that already called
            # self._type_adapter.validate_python(value)
            return self._type_adapter.dump_python(
                value,
                mode=mode,
                include=include,

    def openapi(self) -> Dict[str, Any]:
        """
        Generate the OpenAPI schema of the application. This is called by FastAPI
        internally.

        The first time it is called it stores the result in the attribute
        `app.openapi_schema`, and next times it is called, it just returns that same
        result. To avoid the cost of generating the schema every time.

In Python 3.10 there's also a **new syntax** where you can put the possible types separated by a <abbr title='also called "bitwise or operator", but that meaning is not relevant here'>vertical bar (`|`)</abbr>.

As this component would take the **load** of requests and distribute that among the workers in a (hopefully) **balanced** way, it is also commonly called a **Load Balancer**.

!!! tip
    The same **TLS Termination Proxy** component used for HTTPS would probably also be a **Load Balancer**.

That way, your application won't have to generate the schema every time a user opens your API docs.

It will be generated only once, and then the same cached schema will be used for the next requests.

```Python hl_lines="13-14  25-26"
{!../../../docs_src/extending_openapi/tutorial001.py!}
```

### Override the method

) -> Any:
    # Only called by get_request_handler. Has been split into its own function to
    # facilitate profiling endpoints, since inner functions are harder to profile.
    assert dependant.call is not None, "dependant.call must be a function"

    if is_coroutine:
        return await dependant.call(**values)
    else:
        return await run_in_threadpool(dependant.call, **values)