Documentation Index
Fetch the complete documentation index at: /llms.txt
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簡単な3つのステップでMixroute APIの利用を開始
| 設定 | 値 |
|---|---|
| API URL（ベースURL） | https://api.mixroute.ai/v1 |
| APIキー | 作成したキー |
| リクエスト形式 | OpenAI APIと完全互換 |
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());