Gemini API 接口 Java 方式

该模型适配于 Gemini 端侧接口标准

Base Url： https://maas-openapi.wanjiedata.com/api

获取 API KEY：https://www.wjark.com/center/api-key

使用说明

本文作为 Gemini 接口文档的 Java 版本，全文使用的 Java 版本：1.8.0_462

使用时在 PowerShell 中请依次输入以下三条命令：

切换窗口编码（解决中文乱码）：chcp 65001

编译代码（指定 UTF-8 编码，解决 GBK 报错）：javac -encoding UTF-8 Gemini.java

运行程序（注意：这里不要加 .java 后缀）：java Gemini

本文的文件名使用的是 Gemini.Java，运行时根据实际文件名进行更改

基础文本对话

模型：gemini-2.5-flash-lite

请求示例：

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.io.OutputStream;
import java.net.HttpURLConnection;
import java.net.URL;
import java.nio.charset.StandardCharsets;

public class Gemini {
    public static void main(String[] args) {
        // SSE 接口地址
        String urlString = "https://maas-openapi.wanjiedata.com/api/v1beta/models/gemini-2.5-flash-lite:generateContent?alt=sse";
        // ⚠️ 请在此处替换你的真实 API KEY
        String apiKey = "$API_KEY"; 

        String jsonPayload = "{"
                + "  \"contents\": ["
                + "    {"
                + "      \"parts\": ["
                + "        { \"text\": \"你好\" }"
                + "      ]"
                + "    }"
                + "  ]"
                + "}";

        try {
            URL url = new URL(urlString);
            HttpURLConnection conn = (HttpURLConnection) url.openConnection();
            
            // Java 8 配置请求
            conn.setRequestMethod("POST");
            conn.setRequestProperty("Content-Type", "application/json; utf-8");
            conn.setRequestProperty("Authorization", "Bearer "+ apiKey);
            conn.setDoOutput(true);

            // 发送请求体
            try (OutputStream os = conn.getOutputStream()) {
                byte[] input = jsonPayload.getBytes(StandardCharsets.UTF_8);
                os.write(input, 0, input.length);
            }

            // 获取响应
            int responseCode = conn.getResponseCode();
            if (responseCode == 200) {
                // 读取流式响应 (SSE)
                try (BufferedReader br = new BufferedReader(
                        new InputStreamReader(conn.getInputStream(), StandardCharsets.UTF_8))) {
                    String line;
                    System.out.println("--- 收到响应 ---");
                    while ((line = br.readLine()) != null) {
                        if (!line.trim().isEmpty()) {
                            System.out.println(line);
                        }
                    }
                }
            } else {
                System.err.println("请求失败, 状态码: " + responseCode);
                // 打印错误信息
                try (BufferedReader br = new BufferedReader(
                        new InputStreamReader(conn.getErrorStream(), StandardCharsets.UTF_8))) {
                    String line;
                    while ((line = br.readLine()) != null) {
                        System.err.println(line);
                    }
                }
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

响应示例

--- 收到响应 ---
data: {"candidates": [{"content": {"role": "model","parts": [{"text": "你好"}]}}],"usageMetadata": {"trafficType": "ON_DEMAND"},"modelVersion": "gemini-2.5-flash-lite","createTime": "2026-01-13T03:53:49.426554Z","responseId": "zcFlabqEGrGhk8sPpqjBoAI"}
data: {"candidates": [{"content": {"role": "model","parts": [{"text": "！有什么"}]}}],"usageMetadata": {"trafficType": "ON_DEMAND"},"modelVersion": "gemini-2.5-flash-lite","createTime": "2026-01-13T03:53:49.426554Z","responseId": "zcFlabqEGrGhk8sPpqjBoAI"}
data: {"candidates": [{"content": {"role": "model","parts": [{"text": "可以帮到你的吗？"}]},"finishReason": "STOP"}],"usageMetadata": {"promptTokenCount": 1,"candidatesTokenCount": 9,"totalTokenCount": 10,"trafficType": "ON_DEMAND","promptTokensDetails": [{"modality": "TEXT","tokenCount": 1}],"candidatesTokensDetails": [{"modality": "TEXT","tokenCount": 9}]},"modelVersion": "gemini-2.5-flash-lite","createTime": "2026-01-13T03:53:49.426554Z","responseId": "zcFlabqEGrGhk8sPpqjBoAI"}

图像分析对话

模型：gemini-2.5-flash-image-preview

请求示例：

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.io.OutputStream;
import java.net.HttpURLConnection;
import java.net.URL;
import java.nio.charset.StandardCharsets;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.util.Base64;

public class Gemini {
    public static void main(String[] args) {
        String urlString = "https://maas-openapi.wanjiedata.com/api/v1beta/models/gemini-2.5-flash-image-preview:generateContent";
        String apiKey = "你的_API_KEY"; 
        String imagePath = "D:\\maas-docs\\test.jpg"; // ⚠️ 修改为你的图片路径

        try {
            // 1. 读取图片并转换为 Base64
            byte[] imageBytes = Files.readAllBytes(Paths.get(imagePath));
            String base64Image = Base64.getEncoder().encodeToString(imageBytes);

            // 2. 构建 JSON (Java 8 拼接方式)
            String jsonPayload = "{"
                + "  \"contents\": ["
                + "    {"
                + "      \"parts\": ["
                + "        { \"text\": \"告诉我这张图片里有什么\" },"
                + "        { \"inline_data\": { \"mime_type\": \"image/jpeg\", \"data\": \"" + base64Image + "\" } }"
                + "      ]"
                + "    }"
                + "  ]"
                + "}";

            // 3. 设置连接
            URL url = new URL(urlString);
            HttpURLConnection conn = (HttpURLConnection) url.openConnection();
            conn.setRequestMethod("POST");
            conn.setRequestProperty("Content-Type", "application/json; utf-8");
            conn.setRequestProperty("Authorization", 'Bearer ' + apiKey);
            conn.setDoOutput(true);

            // 4. 发送请求
            try (OutputStream os = conn.getOutputStream()) {
                byte[] input = jsonPayload.getBytes(StandardCharsets.UTF_8);
                os.write(input, 0, input.length);
            }

            // 5. 获取结果
            int responseCode = conn.getResponseCode();
            if (responseCode == 200) {
                try (BufferedReader br = new BufferedReader(
                        new InputStreamReader(conn.getInputStream(), StandardCharsets.UTF_8))) {
                    StringBuilder response = new StringBuilder();
                    String line;
                    while ((line = br.readLine()) != null) {
                        response.append(line.trim());
                    }
                    System.out.println("接口响应: " + response.toString());
                }
            } else {
                System.err.println("错误码: " + responseCode);
                // 打印错误详情
                try (BufferedReader br = new BufferedReader(
                        new InputStreamReader(conn.getErrorStream(), StandardCharsets.UTF_8))) {
                    String line;
                    while ((line = br.readLine()) != null) {
                        System.err.println(line);
                    }
                }
            }

        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

响应示例

接口响应: {"candidates":[{"content":{"parts":[{"text":"这张图片中有一个年轻的男子坐在厨房的台面上，他身穿灰色毛衣和深色裤子，脖子上系着一条红色的方巾。他面带微笑，看着镜头。\n\n在他的 旁边，台面上放着一大块切好的奶酪。背景是厨房，可以看到炉灶、悬挂的铜锅和窗台上的一些盆栽植物。整个画面给人一种温馨舒适的感觉。"}],"role":"model"},"finishReason":"STOP"}],"createTime":"2026-01-13T05:56:24.021162Z","model":"gemini-2.5-flash-image-preview","modelVersion":"gemini-2.5-flash-image","responseId":"iN5laaqlAdGhk8sPzYX08QU","usageMetadata":{"candidatesTokenCount":87,"candidatesTokensDetails":[{"modality":"TEXT","tokenCount":87}],"promptTokenCount":1295,"promptTokensDetails":[{"modality":"TEXT","tokenCount":5},{"modality":"IMAGE","tokenCount":1290}],"totalTokenCount":1382,"trafficType":"ON_DEMAND"}}

文字生成图片

模型：gemini-3-pro-image-preview

请求示例：

import java.io.*;
import java.net.HttpURLConnection;
import java.net.URL;
import java.nio.charset.StandardCharsets;
import java.util.Base64;
import java.util.regex.Matcher;
import java.util.regex.Pattern;

public class Gemini {

    public static void main(String[] args) {
        String apiUrl = "https://maas-openapi.wanjiedata.com/api/v1beta/models/gemini-3-pro-image-preview:generateContent";
        String apiKey = "YOUR_API_KEY"; 

        String jsonInputString = "{"
                + "  \"contents\": ["
                + "    {"
                + "      \"role\": \"user\","
                + "      \"parts\": ["
                + "        { \"text\": \"一张赛博朋克风格的未来城市图片\" }"
                + "      ]"
                + "    }"
                + "  ]"
                + "}";

        try {
            URL url = new URL(apiUrl);
            HttpURLConnection conn = (HttpURLConnection) url.openConnection();
            conn.setRequestMethod("POST");
            conn.setRequestProperty("Authorization", "Bearer " + apiKey);
            conn.setRequestProperty("Content-Type", "application/json; utf-8");
            conn.setDoOutput(true);

            try (OutputStream os = conn.getOutputStream()) {
                byte[] input = jsonInputString.getBytes(StandardCharsets.UTF_8);
                os.write(input, 0, input.length);
            }

            int code = conn.getResponseCode();
            InputStream is = (code >= 200 && code < 300) ? conn.getInputStream() : conn.getErrorStream();
            
            StringBuilder response = new StringBuilder();
            try (BufferedReader br = new BufferedReader(new InputStreamReader(is, StandardCharsets.UTF_8))) {
                String line;
                while ((line = br.readLine()) != null) response.append(line);
            }

            if (code == 200) {
                // 使用简单正则提取 Base64 字符串（避免引入 JSON 库依赖）
                String jsonResponse = response.toString();
                Pattern pattern = Pattern.compile("\"data\":\\s*\"([^\"]+)\"");
                Matcher matcher = pattern.matcher(jsonResponse);
                
                if (matcher.find()) {
                    String base64Image = matcher.group(1);
                    byte[] imageBytes = Base64.getDecoder().decode(base64Image);
                    
                    // 保存为文件
                    File outputFile = new File("result_image.png");
                    try (FileOutputStream fos = new FileOutputStream(outputFile)) {
                        fos.write(imageBytes);
                    }
                    System.out.println("成功！图片已下载至: " + outputFile.getAbsolutePath());
                } else {
                    System.out.println("未在响应中找到图片数据。");
                }
            } else {
                System.out.println("请求失败，状态码: " + code);
                System.out.println("错误详情: " + response.toString());
            }

        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

成功！图片已下载至: D:\maas-docs\result_image.png

图片编辑

模型：gemini-3-pro-image-preview

请求示例：

import java.io.*;
import java.net.HttpURLConnection;
import java.net.URL;
import java.nio.charset.StandardCharsets;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.util.Base64;
import java.util.regex.Matcher;
import java.util.regex.Pattern;

public class Gemini {

    public static void main(String[] args) {
        String apiUrl = "https://maas-openapi.wanjiedata.com/api/v1beta/models/gemini-3-pro-image-preview:generateContent";
        String apiKey = "YOUR_API_KEY"; // 替换为你的 API Key
        
        String inputImagePath = "input.jpg"; // 你的本地图片
        String promptText = "根据这张图片生成一个类似的赛博朋克风格图像";

        try {
            // 1. 读取图片并转为 Base64
            byte[] imageBytes = Files.readAllBytes(Paths.get(inputImagePath));
            String base64Image = Base64.getEncoder().encodeToString(imageBytes);

            // 2. 构造 JSON 请求体
            // 注意：Java 拼接长字符串较繁琐，这里使用 String.format
            String jsonInputString = "{"
                + "  \"contents\": [{"
                + "    \"parts\": ["
                + "      { \"text\": \"" + promptText + "\" },"
                + "      { \"inline_data\": { \"mime_type\": \"image/jpeg\", \"data\": \"" + base64Image + "\" } }"
                + "    ]"
                + "  }]"
                + "}";

            // 3. 发送请求
            URL url = new URL(apiUrl);
            HttpURLConnection conn = (HttpURLConnection) url.openConnection();
            conn.setRequestMethod("POST");
            conn.setRequestProperty("Authorization", "Bearer " + apiKey);
            conn.setRequestProperty("Content-Type", "application/json; utf-8");
            conn.setDoOutput(true);

            try (OutputStream os = conn.getOutputStream()) {
                byte[] input = jsonInputString.getBytes(StandardCharsets.UTF_8);
                os.write(input, 0, input.length);
            }

            // 4. 读取响应
            int code = conn.getResponseCode();
            InputStream is = (code >= 200 && code < 300) ? conn.getInputStream() : conn.getErrorStream();
            
            StringBuilder response = new StringBuilder();
            try (BufferedReader br = new BufferedReader(new InputStreamReader(is, StandardCharsets.UTF_8))) {
                String line;
                while ((line = br.readLine()) != null) response.append(line);
            }

            if (code == 200) {
                // 5. 提取并保存结果图片 (使用正则简单提取 data 字段)
                String jsonResponse = response.toString();
                Pattern pattern = Pattern.compile("\"data\":\\s*\"([^\"]+)\"");
                Matcher matcher = pattern.matcher(jsonResponse);
                
                if (matcher.find()) {
                    String outputBase64 = matcher.group(1);
                    byte[] outputBytes = Base64.getDecoder().decode(outputBase64);
                    try (FileOutputStream fos = new FileOutputStream("output_result.png")) {
                        fos.write(outputBytes);
                    }
                    System.out.println("成功！图片已保存至当前目录下的 output_result.png");
                } else {
                    System.out.println("未在响应中找到图片数据，响应内容：" + jsonResponse);
                }
            } else {
                System.out.println("HTTP 错误: " + code + ", 响应: " + response.toString());
            }

        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

响应示例

成功！图片已保存至当前目录下的 output_result.png

音频处理

模型：gemini-2.5-pro

请求示例：

import java.io.*;
import java.net.HttpURLConnection;
import java.net.URL;
import java.nio.charset.StandardCharsets;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.util.Base64;

public class Gemini {

    public static void main(String[] args) {
        String apiUrl = "https://maas-openapi.wanjiedata.com/api/v1beta/models/gemini-2.5-pro:generateContent";
        String apiKey = "你的API_KEY"; // <--- 替换为你的 API KEY
        String audioPath = "d:/maas-docs/input.mp3"; 
        String prompt = "这个音频文件描述了什么";

        try {
            // 1. 读取音频并转 Base64
            byte[] audioBytes = Files.readAllBytes(Paths.get(audioPath));
            String base64Audio = Base64.getEncoder().encodeToString(audioBytes);

            // 2. 构造 JSON (使用 StringBuilder 避免大字符串拼接性能问题)
            String jsonInput = "{\"contents\":[{\"parts\":["
                    + "{\"text\":\"" + prompt + "\"},"
                    + "{\"inline_data\":{\"mime_type\":\"audio/mpeg\",\"data\":\"" + base64Audio + "\"}}"
                    + "]}]}";

            // 3. 发送请求
            URL url = new URL(apiUrl);
            HttpURLConnection conn = (HttpURLConnection) url.openConnection();
            conn.setRequestMethod("POST");
            conn.setRequestProperty("Authorization", "Bearer " + apiKey);
            conn.setRequestProperty("Content-Type", "application/json; utf-8");
            conn.setDoOutput(true);

            System.out.println("🚀 正在上传音频，请稍候...");
            try (OutputStream os = conn.getOutputStream()) {
                byte[] input = jsonInput.getBytes(StandardCharsets.UTF_8);
                os.write(input, 0, input.length);
            }

            // 4. 读取响应
            int code = conn.getResponseCode();
            InputStream is = (code >= 200 && code < 300) ? conn.getInputStream() : conn.getErrorStream();
            
            StringBuilder response = new StringBuilder();
            try (BufferedReader br = new BufferedReader(new InputStreamReader(is, StandardCharsets.UTF_8))) {
                String line;
                while ((line = br.readLine()) != null) {
                    response.append(line);
                }
            }

            if (code == 200) {
                // 简单的正则提取 text 内容 (也可以使用 Fastjson 等库)
                String resStr = response.toString();
                System.out.println("\n分析结果：");
                System.out.println(resStr); 
            } else {
                System.out.println("❌ 错误码: " + code + "\n详情: " + response.toString());
            }

        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

响应示例

? 正在上传音频，请稍候...

分析结果：
{"candidates":[{"avgLogprobs":-3.9802398681640625,"content":{"parts":[{"text":"这段音频是一段自我介绍。\n\n一个女声说：\n\n\u003e “你好，我是万界方舟，很高兴认识你。”\n\n这听起来像是一个角色（可能来自游戏、小说或某个应用程序）或AI助手在向你问好。"}],"role":"model"},"finishReason":"STOP"}],"createTime":"2026-01-13T07:01:31.906141Z","model":"gemini-2.5-pro","modelVersion":"gemini-2.5-pro","responseId":"y-1laZ2nN8PAzwPb84agBg","usageMetadata":{"candidatesTokenCount":55,"candidatesTokensDetails":[{"modality":"TEXT","tokenCount":55}],"promptTokenCount":106,"promptTokensDetails":[{"modality":"TEXT","tokenCount":6},{"modality":"AUDIO","tokenCount":100}],"thoughtsTokenCount":1087,"totalTokenCount":1248,"trafficType":"ON_DEMAND"}}

PDF 处理

模型：gemini-2.5-pro

请求示例：

import java.io.*;
import java.net.HttpURLConnection;
import java.net.URL;
import java.nio.charset.StandardCharsets;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.util.Base64;

public class Gemini {

    public static void main(String[] args) {
        String apiUrl = "https://maas-openapi.wanjiedata.com/api/v1beta/models/gemini-2.5-pro:generateContent";
        String apiKey = "你的API_KEY"; // <--- 替换为你的 API KEY
        String pdfPath = "d:/maas-docs/poem.pdf"; 
        String prompt = "Can you add a few more lines to this poem?";

        try {
            // 1. 读取 PDF 并转 Base64
            File pdfFile = new File(pdfPath);
            if (!pdfFile.exists()) {
                System.out.println("❌ 找不到文件: " + pdfPath);
                return;
            }
            byte[] pdfBytes = Files.readAllBytes(Paths.get(pdfPath));
            String base64Pdf = Base64.getEncoder().encodeToString(pdfBytes);

            // 2. 构造 JSON (注意转义字符)
            String jsonInput = "{\"contents\":[{\"parts\":["
                    + "{\"text\":\"" + prompt + "\"},"
                    + "{\"inline_data\":{\"mime_type\":\"application/pdf\",\"data\":\"" + base64Pdf + "\"}}"
                    + "]}]}";

            // 3. 发送请求
            URL url = new URL(apiUrl);
            HttpURLConnection conn = (HttpURLConnection) url.openConnection();
            conn.setRequestMethod("POST");
            conn.setRequestProperty("Authorization", "Bearer " + apiKey);
            conn.setRequestProperty("Content-Type", "application/json; utf-8");
            conn.setDoOutput(true);

            System.out.println("🚀 正在上传 PDF 并分析...");
            try (OutputStream os = conn.getOutputStream()) {
                byte[] input = jsonInput.getBytes(StandardCharsets.UTF_8);
                os.write(input, 0, input.length);
            }

            // 4. 读取响应
            int code = conn.getResponseCode();
            InputStream is = (code >= 200 && code < 300) ? conn.getInputStream() : conn.getErrorStream();
            
            StringBuilder response = new StringBuilder();
            try (BufferedReader br = new BufferedReader(new InputStreamReader(is, StandardCharsets.UTF_8))) {
                String line;
                while ((line = br.readLine()) != null) {
                    response.append(line);
                }
            }

            if (code == 200) {
                System.out.println("\n✅ 分析结果：");
                // Java 8 默认不含 JSON 解析库，直接输出原始响应内容
                // 实际开发建议使用 JSONObject 解析 candidates[0].content.parts[0].text
                System.out.println(response.toString()); 
            } else {
                System.out.println("❌ 错误码: " + code + "\n详情: " + response.toString());
            }

        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

响应示例

? 正在上传 PDF 并分析...

? 分析结果：
{"candidates":[{"avgLogprobs":-1.6719720206618491,"content":{"parts":[{"text":"Of course! This is a beautiful classical-style Chinese poem about finding peace and a sense of release while walking in the mountains. The original poem sets a wonderful scene and mood.\n\nHere are a few options for additional lines that continue the theme, rhyme, and seven-character structure. I will add them to the end of the original poem.\n\nThe original poem is:\n\n**《山行》**\n石径盘云上，松风入袖凉。\n(Shí jìng pán yún shàng, sōng fēng rù xiù liáng.)\n*The stone path winds up into the clouds, the pine wind cools my sleeves.*\n\n溪声穿竹响，野鹤唳空长。\n(Xī shēng chuān zhú xiǎng, yě hè lì kōng cháng.)\n*The sound of the stream rings through the bamboo, a wild crane's cry echoes long in the sky.*\n\n忽见千峰外，一霞染夕阳。\n(Hū jiàn qiān fēng wài, yī xiá rǎn xī yáng.)\n*Suddenly, beyond a thousand peaks, I see the setting sun dyeing the clouds.*\n\n心随归鸟去，不问路何方。\n(Xīn suí guī niǎo qù, bù wèn lù hé fāng.)\n*My heart follows the returning birds, not asking which way the path leads.*\n\n---\n\n### **Option 1 (More philosophical)**\n\nThis addition expands on the final feeling of spiritual freedom and being present in the moment.\n\n**何须觅仙境，此身即徜徉。**\n(Hé xū mì xiān jìng, cǐ shēn jí cháng yáng.)\n*Why seek a mythical paradise? This very self is already wandering freely.*\n\n**The complete poem would be:**\n《山行》\n石径盘云上，松风入袖凉。\n溪 声穿竹响，野鹤唳空长。\n忽见千峰外，一霞染夕阳。\n心随归鸟去，不问路何方。\n**何须觅仙境，此身即徜徉。**\n\n---\n\n### **Option 2 (More descriptive)**\n\nThis addition describes the transition from dusk to night, continuing the vivid imagery of the mountain scene.\n\n**暮色沉群岭，清辉照我裳。**\n(Mùsè chén qún lǐng, qīng huī zhào wǒ shang.)\n*The twilight sinks over the mountain ranges, the clear moonlight shines on my clothes.*\n\n**The complete poem would be:**\n《山行》\n石径盘云上，松风入袖凉。\n溪声穿竹响，野鹤唳空长。\n忽见千峰外，一霞染夕阳。\n心随归鸟去，不问路何方。\n**暮色沉群岭，清辉照我裳。**\n\nBoth options maintain the `ang` rhyme scheme and the tranquil, transcendent mood of the original poem. I hope you like them"}],"role":"model"},"finishReason":"STOP"}],"createTime":"2026-01-13T07:10:40.664611Z","model":"gemini-2.5-pro","modelVersion":"gemini-2.5-pro","responseId":"8O9laaPIKNGhk8sPzYX08QU","usageMetadata":{"candidatesTokenCount":653,"candidatesTokensDetails":[{"modality":"TEXT","tokenCount":653}],"promptTokenCount":1301,"promptTokensDetails":[{"modality":"TEXT","tokenCount":11},{"modality":"DOCUMENT","tokenCount":1290}],"thoughtsTokenCount":4286,"totalTokenCount":6240,"trafficType":"ON_DEMAND"}}

视频分析

模型：gemini-3-flash-preview

接口示例

请求示例：

import java.io.*;
import java.net.HttpURLConnection;
import java.net.URL;
import java.nio.charset.StandardCharsets;

public class Gemini {

    public static void main(String[] args) {
        String apiUrl = "https://maas-openapi.wanjiedata.com/api/v1beta/models/gemini-3-flash-preview:generateContent";
        String apiKey = "你的API_KEY"; // <--- 替换为你的 API KEY
        String videoUrl = "https://example.com/test_video.mp4";
        String prompt = "视频分析关键词";

        try {
            // 1. 构造 JSON 请求体
            // 使用 String.format 方便替换变量
            String jsonInput = String.format(
                "{\"contents\": [{\"role\": \"user\",\"parts\": [{\"fileData\": {\"mimeType\": \"video/mp4\",\"fileUri\": \"%s\"}},{\"text\": \"%s\"}]}]}",
                videoUrl, prompt
            );

            // 2. 发送请求
            URL url = new URL(apiUrl);
            HttpURLConnection conn = (HttpURLConnection) url.openConnection();
            conn.setRequestMethod("POST");
            conn.setRequestProperty("Authorization", "Bearer " + apiKey);
            conn.setRequestProperty("Content-Type", "application/json; utf-8");
            conn.setDoOutput(true);

            System.out.println("🚀 视频分析请求已发送，正在等待响应...");
            try (OutputStream os = conn.getOutputStream()) {
                byte[] input = jsonInput.getBytes(StandardCharsets.UTF_8);
                os.write(input, 0, input.length);
            }

            // 3. 读取响应
            int code = conn.getResponseCode();
            InputStream is = (code >= 200 && code < 300) ? conn.getInputStream() : conn.getErrorStream();
            
            StringBuilder response = new StringBuilder();
            try (BufferedReader br = new BufferedReader(new InputStreamReader(is, StandardCharsets.UTF_8))) {
                String line;
                while ((line = br.readLine()) != null) {
                    response.append(line);
                }
            }

            if (code == 200) {
                System.out.println("\n✅ 分析结果：");
                System.out.println(response.toString());
            } else {
                System.out.println("❌ 错误码: " + code);
                System.out.println("详情: " + response.toString());
            }

        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

响应示例

? 视频分析请求已发送，正在等待响应...

? 分析结果：
{"candidates":[{"content":{"parts":[{"text":"这个视频展示了一部电影或电视剧的**拍摄幕后过程（Behind the Scenes）**。\n\n具体内容可以分为以下几个部分：\n\n1.  **开场特写（电影画面效果）：** 视频开头展示了一个极具张力的营救画面：一名消防员从火光冲天、浓烟滚滚的车祸现场跑向镜头。背景看起来是在一个下雨的城市街道，营造出非常逼真的紧张感。\n2.  **揭秘时刻：** 当导演大喊“Cut！”（停）之后，镜头后退，揭开了背后的真相。原来这个看起来真实的场景是在**影棚内**拍摄的。\n3.  **绿幕与特效：** 汽车后方其实是一块巨大的**绿幕（Green Screen）**，用于后期合成城市背景和爆炸效果。现场使用了烟雾机和人工降雨设备。\n4.  **演员状态：** 刚才还处于惊恐中的演员（车内的男女）在喊停后立刻露出了笑容，与消防员互动，显示出这只是表演。\n5.  **拍摄剧组：** 视频最后展示了庞大的拍摄团队，包括手持摄像机的摄影师、灯光设备、吊臂摄像机以及拿着扩音器指挥的导演。\n\n**核心主题：** 视频旨在向观众展示电影工业是如何通过**实景搭建、绿幕特效和精良的拍摄技 术**，在受控的影棚环境下创造出惊险刺激的视觉奇观的。"}],"role":"model"},"finishReason":"STOP"}],"createTime":"2026-01-13T07:27:08.290842Z","model":"gemini-3-flash-preview","modelVersion":"gemini-3-flash-preview","responseId":"zPNlaZrgEYTFk7QPmomp2Qo","usageMetadata":{"candidatesTokenCount":318,"candidatesTokensDetails":[{"modality":"TEXT","tokenCount":318}],"promptTokenCount":717,"promptTokensDetails":[{"modality":"AUDIO","tokenCount":200},{"modality":"TEXT","tokenCount":5},{"modality":"VIDEO","tokenCount":512}],"thoughtsTokenCount":481,"totalTokenCount":1516,"trafficType":"ON_DEMAND"}}