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使用 OkHttp 發送 POST 請求：

import okhttp3.*;
import com.google.gson.Gson;
import java.io.IOException;

public class OpenAIClient {
    private static final String API_URL = "https://api.openai.com/oss/v1/completions";
    private static final MediaType JSON = MediaType.parse("application/json; charset=utf-8");

    public static String generateText(String prompt, String model, String apiKey) throws IOException {
        OkHttpClient client = new OkHttpClient();

        // 構造請求體
        String json = String.format(
            "{\"model\": \"%s\", \"prompt\": \"%s\", \"max_tokens\": 150}",
            model, prompt
        );

        RequestBody body = RequestBody.create(json, JSON);
        Request request = new Request.Builder()
            .url(API_URL)
            .post(body)
            .addHeader("Authorization", "Bearer " + apiKey)
            .build();

        try (Response response = client.newCall(request).execute()) {
            if (!response.isSuccessful()) throw new IOException("Unexpected code: " + response);
            return response.body().string();
        }
    }

    public static void main(String[] args) throws IOException {
        String apiKey = "your-api-key";
        String prompt = "Java 如何調用 OpenAI API？";
        String model = "gpt-oss-20b"; // 或 "gpt-oss-120b"

        String response = generateText(prompt, model, apiKey);
        System.out.println(response);
    }
}

3.2 解析 API 響應

使用 Gson 解析 JSON 響應：

import com.google.gson.JsonObject;
import com.google.gson.JsonParser;

public class ResponseParser {
    public static String parseResponse(String jsonResponse) {
        JsonObject jsonObject = JsonParser.parseString(jsonResponse).getAsJsonObject();
        return jsonObject.get("choices").getAsJsonArray()
            .get(0).getAsJsonObject()
            .get("text").getAsString();
    }

    public static void main(String[] args) throws IOException {
        String response = OpenAIClient.generateText("Java 調用 OpenAI API", "gpt-oss-20b", "your-api-key");
        String generatedText = parseResponse(response);
        System.out.println("生成的文本: " + generatedText);
    }
}

4. 實戰應用

4.1 代碼補全

String prompt = "// Java 實現快速排序\npublic class QuickSort {";
String response = OpenAIClient.generateText(prompt, "gpt-oss-20b", apiKey);
System.out.println(ResponseParser.parseResponse(response));

4.2 智能對話機器人

String prompt = "用戶：你好，你是誰？\nAI：";
String response = OpenAIClient.generateText(prompt, "gpt-oss-20b", apiKey);
System.out.println("AI 回復: " + ResponseParser.parseResponse(response));

5. 性能優化與錯誤處理

5.1 優化 API 調用

批處理請求：減少 API 調用次數。

緩存機制：存儲常用查詢結果。

異步調用：使用 CompletableFuture 提升并發性能。

5.2 錯誤處理

try {
    String response = OpenAIClient.generateText(prompt, model, apiKey);
    System.out.println(ResponseParser.parseResponse(response));
} catch (IOException e) {
    System.err.println("API 請求失敗: " + e.getMessage());
} catch (Exception e) {
    System.err.println("解析錯誤: " + e.getMessage());
}