```json
{
    "description": "Some data",
    "data": "aGVsbG8="
}
```

/// tip | 豆知識

`aGVsbG8=` は `hello` の base64 エンコードです。

///

その後、Pydantic は base64 文字列をデコードし、モデルの `data` フィールドに元のバイト列を渡します。

次のようなレスポンスを受け取ります:

```json
{
  "description": "Some data",
  "content": "hello"
}
```

## 出力データ向けの Pydantic `bytes` { #pydantic-bytes-for-output-data }

Helló
világ

    val request =
      Request(
        url = server.url("/"),
        body = "hello".toRequestBody(),
      )
    client.newCall(request).execute().use { response ->
      assertThat(response.body.string()).isEqualTo("")
    }
    val recordedRequest = server.takeRequest()
    assertThat(recordedRequest.body).isEqualTo("hello".encodeUtf8())
  }

        assertNull(response.getModel());
    }

    @Test
    public void test_constructorWithContent() {
        final LlmChatResponse response = new LlmChatResponse("Hello, World!");
        assertEquals("Hello, World!", response.getContent());
        assertNull(response.getFinishReason());
        assertNull(response.getPromptTokens());
        assertNull(response.getCompletionTokens());

from fastapi import FastAPI
from fastapi.responses import JSONResponse

app = FastAPI()


@app.get("/headers/")
def get_headers():
    content = {"message": "Hello World"}
    headers = {"X-Cat-Dog": "alone in the world", "Content-Language": "en-US"}

	doneCh1 := make(chan struct{})
	defer close(doneCh1)
	if err := ps.Subscribe(MaskAll, ch1, doneCh1, func(entry Maskable) bool { return true }); err != nil {
		t.Fatalf("unexpected error: %v", err)
	}
	val := maskString("hello")
	ps.Publish(val)
	msg := <-ch1
	if msg != val {
		t.Fatalf("expected %s , found %s", val, msg)
	}
}

func TestMultiPubSub(t *testing.T) {
	ps := New[Maskable, Maskable](2)

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def root():

#### *Try your first TensorFlow program*

```shell
$ python
```

```python
>>> import tensorflow as tf
>>> tf.add(1, 2).numpy()
3
>>> hello = tf.constant('Hello, TensorFlow!')
>>> hello.numpy()
b'Hello, TensorFlow!'
```

For more examples, see the
[TensorFlow Tutorials](https://www.tensorflow.org/tutorials/).

## Contribution guidelines

from fastapi import FastAPI
from fastapi.responses import PlainTextResponse

app = FastAPI()


@app.get("/", response_class=PlainTextResponse)
async def main():

你可以发送如下请求：

```json
{
    "description": "Some data",
    "data": "aGVsbG8="
}
```

/// tip | 提示

`aGVsbG8=` 是 `hello` 的 base64 编码。

///

随后 Pydantic 会解码该 base64 字符串，并在模型的 `data` 字段中提供原始字节。

你将会收到类似的响应：

```json
{
  "description": "Some data",
  "content": "hello"
}
```

## 用于输出数据的 Pydantic `bytes` { #pydantic-bytes-for-output-data }