To ensure that you don't return more data than you should, read the docs for [Tutorial - Response Model - Return Type](../tutorial/response-model.md).

## Optimize Response Performance - Response Model - Return Type { #optimize-response-performance-response-model-return-type }

    RedirectResponse,
    Response,
    StreamingResponse,
    UJSONResponse,
)
```

## FastAPI Responses

There were a couple of custom FastAPI response classes that were intended to optimize JSON performance.

However, they are now deprecated as you will now get better performance by using a [Response Model - Return Type](https://fastapi.tiangolo.com/tutorial/response-model/).

ここでは、一般的またはよくある質問に対して、ドキュメント内の他の箇所への参照をいくつか示します。

## データのフィルタリング - セキュリティ { #filter-data-security }

返すべき以上のデータを返さないようにするには、[チュートリアル - レスポンスモデル - 戻り値の型](../tutorial/response-model.md) を参照してください。

## レスポンス性能の最適化 - レスポンスモデル - 戻り値の型 { #optimize-response-performance-response-model-return-type }

JSON データを返す際の性能を最適化するには、戻り値の型またはレスポンスモデルを使用してください。そうすることで、Pydantic が Python を経由せずに Rust 側で JSON へのシリアライズを処理します。詳細は [チュートリアル - レスポンスモデル - 戻り値の型](../tutorial/response-model.md) を参照してください。

 * 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 {

    /**
     * Performs a chat completion request.
     *

    }

    Object[] boxedArray = collection.toArray();
    int len = boxedArray.length;
    float[] array = new float[len];
    for (int i = 0; i < len; i++) {
      // checkNotNull for GWT (do not optimize)
      array[i] = ((Number) checkNotNull(boxedArray[i])).floatValue();
    }
    return array;
  }

  /**
   * Returns a fixed-size list backed by the specified array, similar to {@link

  private final Strategy strategy;

  /** Natural logarithm of 2, used to optimize calculations in Bloom filter sizing. */
  private static final double LOG_TWO = Math.log(2);

  /** Square of the natural logarithm of 2, reused to optimize the bit size calculation. */
  private static final double SQUARED_LOG_TWO = LOG_TWO * LOG_TWO;

  /** Creates a BloomFilter. */

    }

    Object[] boxedArray = collection.toArray();
    int len = boxedArray.length;
    int[] array = new int[len];
    for (int i = 0; i < len; i++) {
      // checkNotNull for GWT (do not optimize)
      array[i] = ((Number) checkNotNull(boxedArray[i])).intValue();
    }
    return array;
  }

  /**
   * Returns a fixed-size list backed by the specified array, similar to {@link

    }

    Object[] boxedArray = collection.toArray();
    int len = boxedArray.length;
    double[] array = new double[len];
    for (int i = 0; i < len; i++) {
      // checkNotNull for GWT (do not optimize)
      array[i] = ((Number) checkNotNull(boxedArray[i])).doubleValue();
    }
    return array;
  }

  /**
   * Returns a fixed-size list backed by the specified array, similar to {@link

#### Install Develocity IntelliJ plugin

Consider installing the [Develocity IntelliJ plugin](https://plugins.jetbrains.com/plugin/27471-develocity) to bring real-time Gradle build analysis directly into your IDE. 
It helps developers optimize performance and gain deeper insights into their builds.

## Making your change

### Code change guidelines

Code contributions should follow these guidelines to maximize the chance of them being accepted:

   *
   * @since 30.0
   */
  @J2ktIncompatible
  @GwtIncompatible // concurrency
  public static void awaitTerminationUninterruptibly(ExecutorService executor) {
    // TODO(cpovirk): We could optimize this to avoid calling nanoTime() at all.
    verify(awaitTerminationUninterruptibly(executor, Long.MAX_VALUE, NANOSECONDS));
  }

  /**