コードサンプル
These examples use the hosted Lazu base URL. For self-hosted deployments, replace it with your own API domain.
OpenAI 互換チャット
Python
from openai import OpenAI
client = OpenAI(
base_url="https://api.lazu.ai/v1",
api_key="YOUR_LAZU_KEY",
)
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Explain model routing in one paragraph."},
],
)
print(response.choices[0].message.content)JavaScript
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.lazu.ai/v1",
apiKey: process.env.LAZU_API_KEY,
});
const response = await client.chat.completions.create({
model: "gpt-4o-mini",
messages: [{ role: "user", content: "Hello from Lazu" }],
});
console.log(response.choices[0].message.content);cURL
curl https://api.lazu.ai/v1/chat/completions \
-H "Authorization: Bearer YOUR_LAZU_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-4o-mini",
"messages": [
{"role": "user", "content": "Reply with: Lazu test successful"}
]
}'ストリーミング
stream = client.chat.completions.create(
model="claude-sonnet-4-6",
messages=[{"role": "user", "content": "Write a short deployment checklist."}],
stream=True,
)
for chunk in stream:
delta = chunk.choices[0].delta.content
if delta:
print(delta, end="", flush=True)モデル検索
curl https://api.lazu.ai/api/models/catalog \
-H "Authorization: Bearer YOUR_LAZU_KEY"トラブルシューティング
すべてのレスポンスには x-request-id が含まれている必要があります。コンソールでこの ID を使うと、モデル、upstream channel、ステータス、トークン計上を追跡できます。