Qwen3.5 Flash

curl https://www.silvamux.com/api/v1/chat/completions \
  -H "Authorization: Bearer 你的API密钥" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.5-flash",
    "messages": [{"role": "user", "content": "你好，请介绍一下自己"}]
  }'

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://www.silvamux.com/api/v1",
    api_key="你的API密钥",
)

response = client.chat.completions.create(
    model="qwen3.5-flash",
    messages=[
        {"role": "user", "content": "你好，请介绍一下自己"}
    ],
)

print(response.choices[0].message.content)

// Gradle: implementation(__HL_SLOT_0__)
import okhttp3.*;

OkHttpClient client = new OkHttpClient();
MediaType json = MediaType.get("application/json");
String payload = "{\"model\":\"qwen3.5-flash\",\"messages\":[{\"role\":\"user\",\"content\":\"你好，请介绍一下自己\"}]}";

Request request = new Request.Builder()
    .url("https://www.silvamux.com/api/v1/chat/completions")
    .header("Authorization", "Bearer 你的API密钥")
    .post(RequestBody.create(payload, json))
    .build();

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

// npm install openai
import OpenAI from 'openai'

const client = new OpenAI({
  baseURL: 'https://www.silvamux.com/api/v1',
  apiKey: '你的API密钥',
})

const response = await client.chat.completions.create({
  model: 'qwen3.5-flash',
  messages: [{ role: 'user', content: '你好，请介绍一下自己' }],
})

console.log(response.choices[0].message.content)