GPT-5.5与Pro深度对比及4SAPI高效接入指南

import requests
import time

API_URL = "https://4sapi.com"
API_KEY = "你的4SAPI密钥"

def chat_completion(model_name, content, temperature=0.2, max_retries=3):
    headers = {
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json"
    }
    payload = {
        "model": model_name,
        "messages": [{"role": "user", "content": content}],
        "temperature": temperature,
        "top_p": 0.9
    }

    for attempt in range(max_retries):
        try:
            resp = requests.post(
                f"{API_URL}/chat/completions",
                headers=headers,
                json=payload,
                timeout=15
            )
            if resp.status_code == 200:
                return resp.json()
            elif resp.status_code == 429:
                time.sleep(1.5 * (attempt + 1))
                continue
            else:
                print(f"请求失败 {resp.status_code}: {resp.text}")
                return None
        except requests.Timeout:
            print(f"超时，第{attempt+1}次重试...")
        except Exception as e:
            print(f"异常: {e}")
            return None
    return None

# 调用 GPT-5.5
# res = chat_completion("gpt-5.5", "实现一个带缓存的HTTP工具类")

# 调用 GPT-5.5-Pro
# res = chat_completion("gpt-5.5-pro", "审查以下合同条款并指出逻辑漏洞")

# 通过同一套接口调用 DeepSeek-V4 Pro
# res = chat_completion("deepseek-v4-pro", "用Java实现一个线程安全的延迟队列")

// 省略 import 声明
public class ModelGatewayDemo {
    private static final String API_URL = "https://4sapi.com";
    private static final String API_KEY = "你的4SAPI密钥";
    private static final OkHttpClient client = new OkHttpClient();

    public static String callModel(String model, String prompt) throws IOException {
        JSONObject body = new JSONObject();
        body.put("model", model);
        body.put("temperature", 0.2);
        body.put("messages", new JSONArray()
            .put(new JSONObject().put("role", "user").put("content", prompt)));

        Request request = new Request.Builder()
                .url(API_URL)
                .header("Authorization", "Bearer " + API_KEY)
                .post(RequestBody.create(MediaType.parse("application/json"), body.toString()))
                .build();

        try (Response response = client.newCall(request).execute()) {
            return response.body().string();
        }
    }

    public static void main(String[] args) throws IOException {
        // 任意切换模型
        System.out.println(callModel("gpt-5.5-pro", "分析此段代码的时间复杂度"));
        System.out.println(callModel("deepseek-v4-pro", "重构该模块，提高可读性"));
    }
}