curl https://api.yelu.ai/v1/responses \
  -H "Authorization: Bearer $YELU_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-4o-mini","instructions":"面向软件工程师回答。","input":"什么是幂等性？","max_output_tokens":160}'

const response = await fetch('https://api.yelu.ai/v1/responses', {
  method: 'POST',
  headers: { Authorization: `Bearer ${process.env.YELU_API_KEY}`, 'Content-Type': 'application/json' },
  body: JSON.stringify({
    model: 'gpt-4o-mini',
    instructions: '面向软件工程师回答。',
    input: '什么是幂等性？',
    max_output_tokens: 160,
  }),
});
if (!response.ok) throw new Error(await response.text());
const data = await response.json();
console.log(data.output.flatMap((item) => item.content ?? []).filter((part) => part.type === 'output_text').map((part) => part.text).join(''));

import os
import requests

response = requests.post(
    "https://api.yelu.ai/v1/responses",
    headers={"Authorization": f"Bearer {os.environ['YELU_API_KEY']}"},
    json={"model": "gpt-4o-mini", "instructions": "面向软件工程师回答。", "input": "什么是幂等性？", "max_output_tokens": 160},
    timeout=60,
)
response.raise_for_status()
data = response.json()
print("".join(part["text"] for item in data["output"] for part in item.get("content", []) if part.get("type") == "output_text"))

{
  "id":"resp_01JYELU9R2","object":"response","created_at":1783900800,"status":"completed","model":"gpt-4o-mini",
  "output":[{"type":"message","id":"msg_01JYELU9R3","status":"completed","role":"assistant","content":[{"type":"output_text","text":"幂等性表示同一操作重复执行时，预期效果与执行一次相同。"}]}],
  "usage":{"input_tokens":20,"output_tokens":22,"total_tokens":42}
}

{"error":{"message":"Input is required for this request.","type":"invalid_request_error","param":"input","code":"missing_required_parameter"}}