Documentation Index
Fetch the complete documentation index at: /docs/llms.txt
Use this file to discover all available pages before exploring further.
只需简单三步，即可开始使用 MixRoute 访问各种 AI 模型
| 配置项 | 值 |
|---|---|
| API 地址（Base URL） | https://api.mixroute.ai/v1 |
| API 密钥 | 从 API Keys 复制的密钥 |
| 请求格式 | 完全兼容 OpenAI API |
curl https://api.mixroute.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "gpt-5.5",
"messages": [{"role": "user", "content": "Hello!"}]
}'
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.mixroute.ai/v1"
)
response = client.chat.completions.create(
model="gpt-5.5",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)
import OpenAI from 'openai';
const openai = new OpenAI({
apiKey: 'YOUR_API_KEY',
baseURL: 'https://api.mixroute.ai/v1'
});
const response = await openai.chat.completions.create({
model: 'gpt-5.5',
messages: [{ role: 'user', content: 'Hello!' }]
});
console.log(response.choices[0].message.content);
OpenAiService service = new OpenAiService(
"YOUR_API_KEY",
Duration.ofSeconds(60),
"https://api.mixroute.ai/v1"
);
ChatCompletionRequest request = ChatCompletionRequest.builder()
.model("gpt-5.5")
.messages(List.of(
new ChatMessage(ChatMessageRole.USER, "Hello!")
))
.build();
ChatCompletionResult result = service.createChatCompletion(request);
System.out.println(result.getChoices().get(0).getMessage().getContent());