Java对接chatgpt进行聊天问答接口

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