* Interface for LLM (Large Language Model) clients.
 * Implementations provide integration with different LLM providers
 * such as Ollama, OpenAI, and Google Gemini.
 *
 * In addition to low-level chat operations, this interface defines
 * high-level RAG workflow methods that allow each provider to optimize
 * prompt construction, parameter tuning, and response parsing.
 */
public interface LlmClient {

    /**

    val client = makeClient()
    makeRequest(client)

    // As of OkHttp 5 we now apply the ordering from the OkHttpClient, which defaults to MODERN_TLS
    // Clients might need a changed order, but can at least define a preferred order to override that default.
    val socketOrderedByDefaults =
      handshakeEnabledCipherSuites.sortedBy { ConnectionSpec.MODERN_TLS.cipherSuitesAsString!!.indexOf(it) }

```console
$ pip install python-multipart
```

///

## `Form`のインポート { #import-form }

`fastapi`から`Form`をインポートします:

{* ../../docs_src/request_forms/tutorial001_an_py310.py hl[3] *}

## `Form`のパラメータの定義 { #define-form-parameters }

`Body`や`Query`の場合と同じようにフォームパラメータを作成します:

{* ../../docs_src/request_forms/tutorial001_an_py310.py hl[9] *}

例えば、OAuth2仕様が使用できる方法の１つ（「パスワードフロー」と呼ばれる）では、フォームフィールドとして`username`と`password`を送信する必要があります。

errors.app.double.submit.request = To żądanie mogło zostać już przetworzone. Spróbuj ponownie.
# _/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/
# you can define your messages here:
# e.g.
# errors.xxx = ...
# info.xxx = ...
# _/_/_/_/_/_/_/_/_/_/
# ========================================================================================
# Fess
# ======

   *
   * <p>The method signature specifies {@code R extends Comparable} with a raw {@link Comparable},
   * instead of {@code R extends Comparable<? super R>}, and the same for {@code C}. That's
   * necessary to support classes defined without generics.
   */
  @SuppressWarnings("rawtypes") // https://github.com/google/guava/issues/989
  public static <R extends Comparable, C extends Comparable, V> TreeBasedTable<R, C, V> create() {

## Crea un SDK de TypeScript { #create-a-typescript-sdk }

Empecemos con una aplicación simple de FastAPI:

{* ../../docs_src/generate_clients/tutorial001_py310.py hl[7:9,12:13,16:17,21] *}

Nota que las *path operations* definen los modelos que usan para el payload del request y el payload del response, usando los modelos `Item` y `ResponseMessage`.

### Documentación de la API { #api-docs }

      assertTaskWrapped(tasks);
      lastMethodCalled = "invokeAllTimeout";
      lastTimeoutInMillis = unit.toMillis(timeout);
      return inline.invokeAll(tasks, timeout, unit);
    }

    // Define the invokeAny methods to invoke the first task
    @Override
    public <T> T invokeAny(Collection<? extends Callable<T>> tasks)
        throws ExecutionException, InterruptedException {
      assertTaskWrapped(tasks);

<plugins>
  <plugin>
    <groupId>org.apache.maven.plugins</groupId>

## `Union` or `anyOf` { #union-or-anyof }

You can declare a response to be the `Union` of two or more types, that means, that the response would be any of them.

It will be defined in OpenAPI with `anyOf`.

To do that, use the standard Python type hint [`typing.Union`](https://docs.python.org/3/library/typing.html#typing.Union):

/// note

Portanto, você pode declarar "objects" JSON profundamente aninhados com nomes, tipos e validações de atributos específicos.

Tudo isso, aninhado arbitrariamente.

### Defina um sub-modelo { #define-a-submodel }

Por exemplo, nós podemos definir um modelo `Image`:

{* ../../docs_src/body_nested_models/tutorial004_py310.py hl[7:9] *}

### Use o sub-modelo como um tipo { #use-the-submodel-as-a-type }