from openai import OpenAI

# 初始化客户端
client = OpenAI(
    base_url="https://api.service.e5e.cn/ai/v1",
    api_key="YOUR_API_KEY",
)

# 列出所有模型
for m in client.models.list().data:
    print(f"{m.id:35s} {m.owned_by}")

const resp = await fetch("https://api.service.e5e.cn/ai/v1/models", {
  headers: { "Authorization": "Bearer YOUR_API_KEY" }
});
const data = await resp.json();
data.data.forEach(m => console.log(m.id, m.owned_by));

package main

import (
	"encoding/json"
	"fmt"
	"net/http"
)

func main() {
	req, _ := http.NewRequest("GET", "https://api.service.e5e.cn/ai/v1/models", nil)
	req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
	resp, _ := http.DefaultClient.Do(req)
	defer resp.Body.Close()
	var result map[string]interface{}
	json.NewDecoder(resp.Body).Decode(&result)
	for _, m := range result["data"].([]interface{}) {
		model := m.(map[string]interface{})
		fmt.Println(model["id"], model["owned_by"])
	}
}

using System.Net.Http.Headers;
using System.Text.Json;

var client = new HttpClient();
client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", "YOUR_API_KEY");
var response = await client.GetAsync("https://api.service.e5e.cn/ai/v1/models");
var json = JsonSerializer.Deserialize<JsonElement>(await response.Content.ReadAsStringAsync());
foreach (var m in json.GetProperty("data").EnumerateArray())
    Console.WriteLine($"{m.GetProperty("id").GetString()} {m.GetProperty("owned_by").GetString()}");

<?php
$ch = curl_init("https://api.service.e5e.cn/ai/v1/models");
curl_setopt_array($ch, [
    CURLOPT_HTTPHEADER => ["Authorization: Bearer YOUR_API_KEY"],
    CURLOPT_RETURNTRANSFER => true,
]);
$result = json_decode(curl_exec($ch), true);
foreach ($result["data"] as $m) echo $m["id"] . " " . $m["owned_by"] . "\n";
curl_close($ch);

import requests
resp = requests.get("https://api.service.e5e.cn/ai/v1/models/health")
data = resp.json()
for model, info in data.get("health", {}).items():
    avail = "✅" if info.get("available") else "❌"
    print(f"{model}: {avail} ({info.get('latencyMs', '?')}ms)")

const resp = await fetch("https://api.service.e5e.cn/ai/v1/models/health");
const data = await resp.json();
for (const [model, info] of Object.entries(data.health || {})) {
  const avail = info.available ? "✅" : "❌";
  console.log(model + ": " + avail + " (" + (info.latencyMs || "?") + "ms)");
}

package main

import (
	"encoding/json"
	"fmt"
	"net/http"
)

func main() {
	resp, _ := http.Get("https://api.service.e5e.cn/ai/v1/models/health")
	defer resp.Body.Close()
	var result map[string]interface{}
	json.NewDecoder(resp.Body).Decode(&result)
	health := result["health"].(map[string]interface{})
	for model, info := range health {
		m := info.(map[string]interface{})
		avail := "❌"
		if m["available"].(bool) { avail = "✅" }
		fmt.Printf("%s: %s (%vms)\n", model, avail, m["latencyMs"])
	}
}

using System.Text.Json;

var client = new HttpClient();
var response = await client.GetAsync("https://api.service.e5e.cn/ai/v1/models/health");
var json = JsonSerializer.Deserialize<JsonElement>(await response.Content.ReadAsStringAsync());
foreach (var entry in json.GetProperty("health").EnumerateObject()) {
    var info = entry.Value;
    var avail = info.GetProperty("available").GetBoolean() ? "✅" : "❌";
    Console.WriteLine(entry.Name + ": " + avail + " (" + info.GetProperty("latencyMs") + "ms)");
}

<?php
$ch = curl_init("https://api.service.e5e.cn/ai/v1/models/health");
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
$result = json_decode(curl_exec($ch), true);
foreach ($result["health"] as $model => $info) {
    $avail = $info["available"] ? "✅" : "❌";
    echo $model . ": " . $avail . " (" . $info["latencyMs"] . "ms)\n";
}
curl_close($ch);

from openai import OpenAI

client = OpenAI(base_url="https://api.service.e5e.cn/ai/v1", api_key="YOUR_API_KEY")
response = client.chat.completions.create(
    model="gpt-5.4",
    messages=[{"role": "user", "content": "你好"}]
)
print(response.choices[0].message.content)

import OpenAI from 'openai';

const client = new OpenAI({ baseURL: 'https://api.service.e5e.cn/ai/v1', apiKey: 'YOUR_API_KEY' });
const response = await client.chat.completions.create({
  model: 'gpt-5.4',
  messages: [{ role: 'user', content: '你好' }],
});
console.log(response.choices[0].message.content);

package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"net/http"
)

func main() {
	body, _ := json.Marshal(map[string]interface{}{
		"model":    "gpt-5.4",
		"messages": []map[string]string{{"role": "user", "content": "你好"}},
		"stream":   false,
	})
	resp, _ := http.Post("https://api.service.e5e.cn/ai/v1/chat/completions",
		"application/json", bytes.NewReader(body))
	defer resp.Body.Close()
	var result map[string]interface{}
	json.NewDecoder(resp.Body).Decode(&result)
	choices := result["choices"].([]interface{})
	fmt.Println(choices[0].(map[string]interface{})["message"].(map[string]interface{})["content"])
}

using System.Text.Json;

var client = new HttpClient();
var payload = JsonSerializer.Serialize(new {
    model = "gpt-5.4",
    messages = new[] { new { role = "user", content = "你好" } },
    stream = false
});
var content = new StringContent(payload, System.Text.Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://api.service.e5e.cn/ai/v1/chat/completions", content);
var json = JsonSerializer.Deserialize<JsonElement>(await response.Content.ReadAsStringAsync());
Console.WriteLine(json.GetProperty("choices")[0].GetProperty("message").GetProperty("content"));

<?php
$ch = curl_init("https://api.service.e5e.cn/ai/v1/chat/completions");
curl_setopt_array($ch, [
    CURLOPT_POST => true,
    CURLOPT_HTTPHEADER => ["Content-Type: application/json", "Authorization: Bearer YOUR_API_KEY"],
    CURLOPT_POSTFIELDS => json_encode([
        "model" => "gpt-5.4",
        "messages" => [["role" => "user", "content" => "你好"]],
        "stream" => false,
    ]),
    CURLOPT_RETURNTRANSFER => true,
]);
$result = json_decode(curl_exec($ch), true);
echo $result["choices"][0]["message"]["content"] . "\n";
curl_close($ch);

import java.net.http.*;
import java.net.URI;
import com.google.gson.*;

public class ChatExample {
    public static void main(String[] args) throws Exception {
        HttpClient client = HttpClient.newHttpClient();
        JsonObject body = new JsonObject();
        body.addProperty("model", "gpt-5.4");
        JsonArray messages = new JsonArray();
        JsonObject msg = new JsonObject();
        msg.addProperty("role", "user");
        msg.addProperty("content", "你好");
        messages.add(msg);
        body.add("messages", messages);
        body.addProperty("stream", false);

        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://api.service.e5e.cn/ai/v1/chat/completions"))
            .header("Content-Type", "application/json")
            .header("Authorization", "Bearer YOUR_API_KEY")
            .POST(HttpRequest.BodyPublishers.ofString(body.toString()))
            .build();
        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
        JsonObject json = JsonParser.parseString(response.body()).getAsJsonObject();
        System.out.println(json.getAsJsonArray("choices").get(0).getAsJsonObject()
            .getAsJsonObject("message").get("content").getAsString());
    }
}

from openai import OpenAI

client = OpenAI(base_url="https://api.service.e5e.cn/ai/v1", api_key="YOUR_API_KEY")
response = client.chat.completions.create(
    model="claude-sonnet-4.5",
    messages=[{
        "role": "user",
        "content": [
            {"type": "text", "text": "请描述这张图片"},
            {"type": "image_url", "image_url": {"url": "https://example.com/photo.jpg"}}
        ]
    }]
)
print(response.choices[0].message.content)

import OpenAI from 'openai';

const client = new OpenAI({ baseURL: 'https://api.service.e5e.cn/ai/v1', apiKey: 'YOUR_API_KEY' });
const response = await client.chat.completions.create({
  model: 'claude-sonnet-4.5',
  messages: [{
    role: 'user',
    content: [
      { type: 'text', text: '请描述这张图片' },
      { type: 'image_url', image_url: { url: 'https://example.com/photo.jpg' } }
    ]
  }]
});
console.log(response.choices[0].message.content);

package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"net/http"
)

func main() {
	body, _ := json.Marshal(map[string]interface{}{
		"model": "claude-sonnet-4.5",
		"messages": []map[string]interface{}{
			{
				"role": "user",
				"content": []map[string]interface{}{
					{"type": "text", "text": "请描述这张图片"},
					{"type": "image_url", "image_url": map[string]string{"url": "https://example.com/photo.jpg"}},
				},
			},
		},
	})
	resp, _ := http.Post("https://api.service.e5e.cn/ai/v1/chat/completions",
		"application/json", bytes.NewReader(body))
	defer resp.Body.Close()
	var result map[string]interface{}
	json.NewDecoder(resp.Body).Decode(&result)
	choices := result["choices"].([]interface{})
	fmt.Println(choices[0].(map[string]interface{})["message"].(map[string]interface{})["content"])
}

using System.Text.Json;

var client = new HttpClient();
var payload = JsonSerializer.Serialize(new {
    model = "claude-sonnet-4.5",
    messages = new[] {
        new {
            role = "user",
            content = new object[] {
                new { type = "text", text = "请描述这张图片" },
                new { type = "image_url", image_url = new { url = "https://example.com/photo.jpg" } }
            }
        }
    }
});
var httpContent = new StringContent(payload, System.Text.Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://api.service.e5e.cn/ai/v1/chat/completions", httpContent);
var json = JsonSerializer.Deserialize<JsonElement>(await response.Content.ReadAsStringAsync());
Console.WriteLine(json.GetProperty("choices")[0].GetProperty("message").GetProperty("content"));

<?php
$ch = curl_init("https://api.service.e5e.cn/ai/v1/chat/completions");
curl_setopt_array($ch, [
    CURLOPT_POST => true,
    CURLOPT_HTTPHEADER => ["Content-Type: application/json", "Authorization: Bearer YOUR_API_KEY"],
    CURLOPT_POSTFIELDS => json_encode([
        "model" => "claude-sonnet-4.5",
        "messages" => [[
            "role" => "user",
            "content" => [
                ["type" => "text", "text" => "请描述这张图片"],
                ["type" => "image_url", "image_url" => ["url" => "https://example.com/photo.jpg"]],
            ],
        ]],
    ]),
    CURLOPT_RETURNTRANSFER => true,
]);
$result = json_decode(curl_exec($ch), true);
echo $result["choices"][0]["message"]["content"] . "\n";
curl_close($ch);

import java.net.http.*;
import java.net.URI;
import com.google.gson.*;

public class VisionExample {
    public static void main(String[] args) throws Exception {
        HttpClient client = HttpClient.newHttpClient();
        JsonObject body = new JsonObject();
        body.addProperty("model", "claude-sonnet-4.5");
        JsonArray messages = new JsonArray();
        JsonObject msg = new JsonObject();
        msg.addProperty("role", "user");
        JsonArray content = new JsonArray();
        JsonObject textContent = new JsonObject();
        textContent.addProperty("type", "text");
        textContent.addProperty("text", "请描述这张图片");
        content.add(textContent);
        JsonObject imgContent = new JsonObject();
        imgContent.addProperty("type", "image_url");
        JsonObject imgUrl = new JsonObject();
        imgUrl.addProperty("url", "https://example.com/photo.jpg");
        imgContent.add("image_url", imgUrl);
        content.add(imgContent);
        msg.add("content", content);
        messages.add(msg);
        body.add("messages", messages);

        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://api.service.e5e.cn/ai/v1/chat/completions"))
            .header("Content-Type", "application/json")
            .header("Authorization", "Bearer YOUR_API_KEY")
            .POST(HttpRequest.BodyPublishers.ofString(body.toString()))
            .build();
        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
        JsonObject json = JsonParser.parseString(response.body()).getAsJsonObject();
        System.out.println(json.getAsJsonArray("choices").get(0).getAsJsonObject()
            .getAsJsonObject("message").get("content").getAsString());
    }
}

import requests

resp = requests.post(
    "https://api.service.e5e.cn/ai/v1/images/generations",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
        "model": "jimeng-seedream46",
        "prompt": "一只可爱的橘猫坐在窗台上看日落，油画风格",
        "quality": "high",
        "ratio": "1:1",
        "resolution": "1k"
    }
)
print(resp.json())
# 获取 id 后查询结果:
task_id = resp.json().get("id")
result = requests.get(f"https://api.service.e5e.cn/ai/v1/images/generations/{task_id}?model=jimeng-seedream46")
print(result.json())

const resp = await fetch("https://api.service.e5e.cn/ai/v1/images/generations", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "Authorization": "Bearer YOUR_API_KEY"
  },
  body: JSON.stringify({
    model: "jimeng-seedream46",
    prompt: "一只可爱的橘猫坐在窗台上看日落，油画风格",
    quality: "high",
    ratio: "1:1",
    resolution: "1k"
  })
});
const data = await resp.json();
console.log(data);
// 获取 id 后查询结果:
const taskId = data.id;
const result = await fetch(`https://api.service.e5e.cn/ai/v1/images/generations/${taskId}?model=jimeng-seedream46`);
console.log(await result.json());

package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"net/http"
)

func main() {
	body, _ := json.Marshal(map[string]interface{}{
		"model":      "jimeng-seedream46",
		"prompt":     "一只可爱的橘猫坐在窗台上看日落，油画风格",
		"quality":    "high",
		"ratio":      "1:1",
		"resolution": "1k",
	})
	resp, _ := http.Post("https://api.service.e5e.cn/ai/v1/images/generations",
		"application/json", bytes.NewReader(body))
	defer resp.Body.Close()
	var result map[string]interface{}
	json.NewDecoder(resp.Body).Decode(&result)
	fmt.Println(result)
	// 获取 id 后查询结果:
	taskID := result["id"].(string)
	queryResp, _ := http.Get("https://api.service.e5e.cn/ai/v1/images/generations/" + taskID + "?model=jimeng-seedream46")
	defer queryResp.Body.Close()
	var queryResult map[string]interface{}
	json.NewDecoder(queryResp.Body).Decode(&queryResult)
	fmt.Println(queryResult)
}

using System.Text.Json;

var client = new HttpClient();
var payload = JsonSerializer.Serialize(new {
    model = "jimeng-seedream46",
    prompt = "一只可爱的橘猫坐在窗台上看日落，油画风格",
    quality = "high",
    ratio = "1:1",
    resolution = "1k"
});
var httpContent = new StringContent(payload, System.Text.Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://api.service.e5e.cn/ai/v1/images/generations", httpContent);
var json = JsonSerializer.Deserialize<JsonElement>(await response.Content.ReadAsStringAsync());
Console.WriteLine(json);
// 获取 id 后查询结果:
var taskId = json.GetProperty("id").GetString();
var queryResponse = await client.GetAsync($"https://api.service.e5e.cn/ai/v1/images/generations/{taskId}?model=jimeng-seedream46");
Console.WriteLine(await queryResponse.Content.ReadAsStringAsync());

<?php
$ch = curl_init("https://api.service.e5e.cn/ai/v1/images/generations");
curl_setopt_array($ch, [
    CURLOPT_POST => true,
    CURLOPT_HTTPHEADER => ["Content-Type: application/json", "Authorization: Bearer YOUR_API_KEY"],
    CURLOPT_POSTFIELDS => json_encode([
        "model" => "jimeng-seedream46",
        "prompt" => "一只可爱的橘猫坐在窗台上看日落，油画风格",
        "quality" => "high",
        "ratio" => "1:1",
        "resolution" => "1k",
    ]),
    CURLOPT_RETURNTRANSFER => true,
]);
$result = json_decode(curl_exec($ch), true);
print_r($result);
curl_close($ch);
// 获取 id 后查询结果:
$taskId = $result["id"];
$queryCh = curl_init("https://api.service.e5e.cn/ai/v1/images/generations/" . $taskId . "?model=jimeng-seedream46");
curl_setopt($queryCh, CURLOPT_RETURNTRANSFER, true);
echo curl_exec($queryCh) . "\n";
curl_close($queryCh);

import java.net.http.*;
import java.net.URI;
import com.google.gson.*;

public class ImageGenExample {
    public static void main(String[] args) throws Exception {
        HttpClient client = HttpClient.newHttpClient();
        JsonObject body = new JsonObject();
        body.addProperty("model", "jimeng-seedream46");
        body.addProperty("prompt", "一只可爱的橘猫坐在窗台上看日落，油画风格");
        body.addProperty("quality", "high");
        body.addProperty("ratio", "1:1");
        body.addProperty("resolution", "1k");

        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://api.service.e5e.cn/ai/v1/images/generations"))
            .header("Content-Type", "application/json")
            .header("Authorization", "Bearer YOUR_API_KEY")
            .POST(HttpRequest.BodyPublishers.ofString(body.toString()))
            .build();
        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
        JsonObject json = JsonParser.parseString(response.body()).getAsJsonObject();
        System.out.println(json);
        // 获取 id 后查询结果:
        String taskId = json.get("id").getAsString();
        HttpRequest queryRequest = HttpRequest.newBuilder()
            .uri(URI.create("https://api.service.e5e.cn/ai/v1/images/generations/" + taskId + "?model=jimeng-seedream46"))
            .GET().build();
        HttpResponse<String> queryResponse = client.send(queryRequest, HttpResponse.BodyHandlers.ofString());
        System.out.println(queryResponse.body());
    }
}

import requests

resp = requests.post(
    "https://api.service.e5e.cn/ai/v1/images/generations",
    headers={"Authorization": "Bearer…_KEY"},
    json={
        "model": "jimeng-seedream46",
        "image_urls": ["http://9270.vhost.e5e.cn/attachment/upload/videoscreenshot/20260212/1770866981320.jpg"],
        "upscale": True,
        "resolution": "4k",
        "quality": "medium",
    }
)
task_id = resp.json()["id"]
print("Task ID:", task_id)

const resp = await fetch("https://api.service.e5e.cn/ai/v1/images/generations", {
  method: "POST",
  headers: { "Content-Type": "application/json", "Authorization": "Bearer…_KEY" },
  body: JSON.stringify({
    model: "jimeng-seedream46",
    image_urls: ["http://9270.vhost.e5e.cn/attachment/upload/videoscreenshot/20260212/1770866981320.jpg"],
    upscale: true,
    resolution: "4k",
    quality: "medium",
  }),
});
const data = await resp.json();
console.log("Task ID:", data.id);

package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"net/http"
)

func main() {
	body, _ := json.Marshal(map[string]interface{}{
		"model":      "jimeng-seedream46",
		"image_urls": []string{"http://9270.vhost.e5e.cn/attachment/upload/videoscreenshot/20260212/1770866981320.jpg"},
		"upscale":    true,
		"resolution": "4k",
		"quality":    "medium",
	})
	resp, _ := http.Post("https://api.service.e5e.cn/ai/v1/images/generations",
		"application/json", bytes.NewReader(body))
	defer resp.Body.Close()
	var result map[string]interface{}
	json.NewDecoder(resp.Body).Decode(&result)
	fmt.Println("Task ID:", result["id"])
}

using System.Text.Json;

var client = new HttpClient();
var payload = JsonSerializer.Serialize(new {
    model = "jimeng-seedream46",
    image_urls = new[] { "http://9270.vhost.e5e.cn/attachment/upload/videoscreenshot/20260212/1770866981320.jpg" },
    upscale = true,
    resolution = "4k",
    quality = "medium",
});
var content = new StringContent(payload, System.Text.Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://api.service.e5e.cn/ai/v1/images/generations", content);
var json = JsonSerializer.Deserialize<JsonElement>(await response.Content.ReadAsStringAsync());
Console.WriteLine("Task ID: " + json.GetProperty("id").GetString());

<?php
$ch = curl_init("https://api.service.e5e.cn/ai/v1/images/generations");
curl_setopt_array($ch, [
    CURLOPT_POST => true,
    CURLOPT_HTTPHEADER => ["Content-Type: application/json", "Authorization: Bearer ***"],
    CURLOPT_POSTFIELDS => json_encode([
        "model"      => "jimeng-seedream46",
        "image_urls" => ["http://9270.vhost.e5e.cn/attachment/upload/videoscreenshot/20260212/1770866981320.jpg"],
        "upscale"    => true,
        "resolution" => "4k",
        "quality"    => "medium",
    ]),
    CURLOPT_RETURNTRANSFER => true,
]);
$result = json_decode(curl_exec($ch), true);
echo "Task ID: " . $result["id"] . "\n";
curl_close($ch);

import java.net.http.*;
import java.net.URI;
import com.google.gson.*;

public class UpscaleExample {
    public static void main(String[] args) throws Exception {
        HttpClient client = HttpClient.newHttpClient();
        JsonObject body = new JsonObject();
        body.addProperty("model", "jimeng-seedream46");
        JsonArray urls = new JsonArray();
        urls.add("http://9270.vhost.e5e.cn/attachment/upload/videoscreenshot/20260212/1770866981320.jpg");
        body.add("image_urls", urls);
        body.addProperty("upscale", true);
        body.addProperty("resolution", "4k");
        body.addProperty("quality", "medium");

        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://api.service.e5e.cn/ai/v1/images/generations"))
            .header("Content-Type", "application/json")
            .header("Authorization", "Bearer YOUR_API_KEY")
            .POST(HttpRequest.BodyPublishers.ofString(body.toString()))
            .build();
        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
        JsonObject json = JsonParser.parseString(response.body()).getAsJsonObject();
        System.out.println("Task ID: " + json.get("id").getAsString());
    }
}

import requests

resp = requests.post(
    "https://api.service.e5e.cn/ai/v1/images/generations",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
        "model": "jimeng-seedream46",
        "prompt": "将参考图片转换为赛博朋克风格新闻播报场景，主播着装改为未来感套装，背景添加全息屏幕和数据流，霓虹灯光效，电影级质感",
        "image_urls": ["http://9270.vhost.e5e.cn/attachment/upload/videoscreenshot/20260212/1770866981320.jpg"],
        "quality": "high",
        "resolution": "1k"
    }
)
print(resp.json())
task_id = resp.json().get("id")
result = requests.get(f"https://api.service.e5e.cn/ai/v1/images/generations/{task_id}?model=jimeng-seedream46")
print(result.json())

const resp = await fetch("https://api.service.e5e.cn/ai/v1/images/generations", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "Authorization": "Bearer YOUR_API_KEY"
  },
  body: JSON.stringify({
    model: "jimeng-seedream46",
    prompt: "将参考图片转换为赛博朋克风格新闻播报场景，主播着装改为未来感套装，背景添加全息屏幕和数据流，霓虹灯光效，电影级质感",
    image_urls: ["http://9270.vhost.e5e.cn/attachment/upload/videoscreenshot/20260212/1770866981320.jpg"],
    quality: "high",
    resolution: "1k"
  })
});
const data = await resp.json();
console.log(data);
const taskId = data.id;
const result = await fetch(`https://api.service.e5e.cn/ai/v1/images/generations/${taskId}?model=jimeng-seedream46`);
console.log(await result.json());

package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"net/http"
)

func main() {
	body, _ := json.Marshal(map[string]interface{}{
		"model":      "jimeng-seedream46",
		"prompt":     "将参考图片转换为赛博朋克风格新闻播报场景，主播着装改为未来感套装，背景添加全息屏幕和数据流，霓虹灯光效，电影级质感",
		"image_urls": []string{"http://9270.vhost.e5e.cn/attachment/upload/videoscreenshot/20260212/1770866981320.jpg"},
		"quality":    "high",
		"resolution": "1k",
	})
	resp, _ := http.Post("https://api.service.e5e.cn/ai/v1/images/generations",
		"application/json", bytes.NewReader(body))
	defer resp.Body.Close()
	var result map[string]interface{}
	json.NewDecoder(resp.Body).Decode(&result)
	fmt.Println(result)
	taskID := result["id"].(string)
	queryResp, _ := http.Get("https://api.service.e5e.cn/ai/v1/images/generations/" + taskID + "?model=jimeng-seedream46")
	defer queryResp.Body.Close()
	var queryResult map[string]interface{}
	json.NewDecoder(queryResp.Body).Decode(&queryResult)
	fmt.Println(queryResult)
}

using System.Text.Json;

var client = new HttpClient();
var payload = JsonSerializer.Serialize(new {
    model = "jimeng-seedream46",
    prompt = "将参考图片转换为赛博朋克风格新闻播报场景，主播着装改为未来感套装，背景添加全息屏幕和数据流，霓虹灯光效，电影级质感",
    image_urls = new[] { "http://9270.vhost.e5e.cn/attachment/upload/videoscreenshot/20260212/1770866981320.jpg" },
    quality = "high",
    resolution = "1k"
});
var httpContent = new StringContent(payload, System.Text.Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://api.service.e5e.cn/ai/v1/images/generations", httpContent);
var json = JsonSerializer.Deserialize<JsonElement>(await response.Content.ReadAsStringAsync());
Console.WriteLine(json);
var taskId = json.GetProperty("id").GetString();
var queryResponse = await client.GetAsync($"https://api.service.e5e.cn/ai/v1/images/generations/{taskId}?model=jimeng-seedream46");
Console.WriteLine(await queryResponse.Content.ReadAsStringAsync());

<?php
$ch = curl_init("https://api.service.e5e.cn/ai/v1/images/generations");
curl_setopt_array($ch, [
    CURLOPT_POST => true,
    CURLOPT_HTTPHEADER => ["Content-Type: application/json", "Authorization: Bearer YOUR_API_KEY"],
    CURLOPT_POSTFIELDS => json_encode([
        "model" => "jimeng-seedream46",
        "prompt" => "将参考图片转换为赛博朋克风格新闻播报场景，主播着装改为未来感套装，背景添加全息屏幕和数据流，霓虹灯光效，电影级质感",
        "image_urls" => ["http://9270.vhost.e5e.cn/attachment/upload/videoscreenshot/20260212/1770866981320.jpg"],
        "quality" => "high",
        "resolution" => "1k",
    ]),
    CURLOPT_RETURNTRANSFER => true,
]);
$result = json_decode(curl_exec($ch), true);
print_r($result);
curl_close($ch);
$taskId = $result["id"];
$queryCh = curl_init("https://api.service.e5e.cn/ai/v1/images/generations/" . $taskId . "?model=jimeng-seedream46");
curl_setopt($queryCh, CURLOPT_RETURNTRANSFER, true);
echo curl_exec($queryCh) . "\n";
curl_close($queryCh);

import java.net.http.*;
import java.net.URI;
import com.google.gson.*;

public class Img2ImgExample {
    public static void main(String[] args) throws Exception {
        HttpClient client = HttpClient.newHttpClient();
        JsonObject body = new JsonObject();
        body.addProperty("model", "jimeng-seedream46");
        body.addProperty("prompt", "将参考图片转换为赛博朋克风格新闻播报场景，主播着装改为未来感套装，背景添加全息屏幕和数据流，霓虹灯光效，电影级质感");
        JsonArray urls = new JsonArray();
        urls.add("http://9270.vhost.e5e.cn/attachment/upload/videoscreenshot/20260212/1770866981320.jpg");
        body.add("image_urls", urls);
        body.addProperty("quality", "high");
        body.addProperty("ratio", "9:16");
        body.addProperty("resolution", "1k");

        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://api.service.e5e.cn/ai/v1/images/generations"))
            .header("Content-Type", "application/json")
            .header("Authorization", "Bearer YOUR_API_KEY")
            .POST(HttpRequest.BodyPublishers.ofString(body.toString()))
            .build();
        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
        JsonObject json = JsonParser.parseString(response.body()).getAsJsonObject();
        System.out.println(json);
        String taskId = json.get("id").getAsString();
        HttpRequest queryRequest = HttpRequest.newBuilder()
            .uri(URI.create("https://api.service.e5e.cn/ai/v1/images/generations/" + taskId + "?model=jimeng-seedream46"))
            .GET().build();
        HttpResponse<String> queryResponse = client.send(queryRequest, HttpResponse.BodyHandlers.ofString());
        System.out.println(queryResponse.body());
    }
}

from openai import OpenAI

client = OpenAI(base_url="https://api.service.e5e.cn/ai/v1", api_key="YOUR_API_KEY")
response = client.chat.completions.create(
    model="gpt-5.3-codex",
    messages=[{"role": "user", "content": "用 TypeScript 写一个快速排序函数"}]
)
print(response.choices[0].message.content)

import OpenAI from 'openai';

const client = new OpenAI({ baseURL: 'https://api.service.e5e.cn/ai/v1', apiKey: 'YOUR_API_KEY' });
const response = await client.chat.completions.create({
  model: 'gpt-5.3-codex',
  messages: [{ role: 'user', content: '用 TypeScript 写一个快速排序函数' }],
});
console.log(response.choices[0].message.content);

package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"net/http"
)

func main() {
	body, _ := json.Marshal(map[string]interface{}{
		"model": "gpt-5.3-codex",
		"messages": []map[string]string{
			{"role": "user", "content": "用 TypeScript 写一个快速排序函数"},
		},
	})
	resp, _ := http.Post("https://api.service.e5e.cn/ai/v1/chat/completions",
		"application/json", bytes.NewReader(body))
	defer resp.Body.Close()
	var result map[string]interface{}
	json.NewDecoder(resp.Body).Decode(&result)
	choices := result["choices"].([]interface{})
	fmt.Println(choices[0].(map[string]interface{})["message"].(map[string]interface{})["content"])
}

using System.Text.Json;

var client = new HttpClient();
var payload = JsonSerializer.Serialize(new {
    model = "gpt-5.3-codex",
    messages = new[] { new { role = "user", content = "用 TypeScript 写一个快速排序函数" } }
});
var content = new StringContent(payload, System.Text.Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://api.service.e5e.cn/ai/v1/chat/completions", content);
var json = JsonSerializer.Deserialize<JsonElement>(await response.Content.ReadAsStringAsync());
Console.WriteLine(json.GetProperty("choices")[0].GetProperty("message").GetProperty("content"));

<?php
$ch = curl_init("https://api.service.e5e.cn/ai/v1/chat/completions");
curl_setopt_array($ch, [
    CURLOPT_POST => true,
    CURLOPT_HTTPHEADER => ["Content-Type: application/json", "Authorization: Bearer YOUR_API_KEY"],
    CURLOPT_POSTFIELDS => json_encode([
        "model" => "gpt-5.3-codex",
        "messages" => [["role" => "user", "content" => "用 TypeScript 写一个快速排序函数"]],
    ]),
    CURLOPT_RETURNTRANSFER => true,
]);
$result = json_decode(curl_exec($ch), true);
echo $result["choices"][0]["message"]["content"] . "\n";
curl_close($ch);

import java.net.http.*;
import java.net.URI;
import com.google.gson.*;

public class CodeExample {
    public static void main(String[] args) throws Exception {
        HttpClient client = HttpClient.newHttpClient();
        JsonObject body = new JsonObject();
        body.addProperty("model", "gpt-5.3-codex");
        JsonArray messages = new JsonArray();
        JsonObject msg = new JsonObject();
        msg.addProperty("role", "user");
        msg.addProperty("content", "用 TypeScript 写一个快速排序函数");
        messages.add(msg);
        body.add("messages", messages);

        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://api.service.e5e.cn/ai/v1/chat/completions"))
            .header("Content-Type", "application/json")
            .header("Authorization", "Bearer YOUR_API_KEY")
            .POST(HttpRequest.BodyPublishers.ofString(body.toString()))
            .build();
        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
        JsonObject json = JsonParser.parseString(response.body()).getAsJsonObject();
        System.out.println(json.getAsJsonArray("choices").get(0).getAsJsonObject()
            .getAsJsonObject("message").get("content").getAsString());
    }
}