Java对接chatgpt进行聊天问答接口

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public static void chatgpt() throws IOException {         // ChatGPT API endpoint         String apiUrl = "https://api.openai.com/v1/chat/completions";         // Your API key         String apiKey = "API_KEY";         // Request payload  （max_tokens越大，回答内容越长，其它参数也是必须的）         String payload = "{\"model\": \"gpt-3.5-turbo\",\"messages\": [{\"role\": \"user\", \"content\": \"Can you tell me a small story?\"}], \"max_tokens\": 1500}";             // Create connection         URL url = new URL(apiUrl);         HttpURLConnection connection;           // Proxy configuration (if using a proxy)         String proxyHost = "127.0.0.1";         int proxyPort = 7890;         Proxy proxy = new Proxy(Proxy.Type.HTTP, new InetSocketAddress(proxyHost, proxyPort));         connection = (HttpURLConnection) url.openConnection(proxy);           // Set connection properties         connection.setRequestMethod("POST");         connection.setRequestProperty("Content-Type", "application/json");         connection.setRequestProperty("Authorization", "Bearer " + apiKey);         connection.setDoOutput(true);           // Set connection and read timeouts (in milliseconds)  回答的内容越长，读取的时间越长         int connectionTimeout = 50000;  // 50 seconds         int readTimeout = 50000;  // 50 seconds         connection.setConnectTimeout(connectionTimeout);         connection.setReadTimeout(readTimeout);           // Send request         DataOutputStream outputStream = new DataOutputStream(connection.getOutputStream());         outputStream.writeBytes(payload);         outputStream.flush();         outputStream.close();           // Check response code         int responseCode = connection.getResponseCode();         URL url1 = connection.getURL();         String responseMessage = connection.getResponseMessage();         if (responseCode == HttpURLConnection.HTTP_OK) {             // Get response             BufferedReader reader = new BufferedReader(new InputStreamReader(connection.getInputStream()));             String line;             StringBuilder response = new StringBuilder();             while ((line = reader.readLine()) != null) {                 response.append(line);             }             reader.close();               System.out.println("响应数据：");             // Process response             System.out.println(response.toString());         } else {             // Handle error response             System.out.println("Error response code: " + responseCode);             System.out.println("Error response url: " + url1);             System.out.println("Error response responseMessage: " + responseMessage);         }       }

打印结果：

响应数据：
{"id":"chatcmpl-7HT72eFZbl3DRwopnE40KqJlMNu4w","object":"chat.completion","created":1684397840,"model":"gpt-3.5-turbo-0301","usage":{"prompt_tokens":20,"completion_tokens":9,"total_tokens":29},"choices":[{"message":{"role":"assistant","content":"Sure, what would you like to know?"},"finish_reason":"stop","index":0}]}

　　注意：如果遇到400错误，请查看你的参数是否正确；如果read timeout 就是内容太长，需要将超时时间设置大些
前提是：本地已经打开梯子（FQ工具）了，毕竟是外接口