聊天示例

curl -sS https://api.yelu.ai/v1/chat/completions \
  -H "Authorization: Bearer $YELU_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-4o-mini","messages":[{"role":"system","content":"用一个类比解释技术概念。"},{"role":"user","content":"什么是 Embedding？"}],"temperature":0.3,"max_completion_tokens":180}' \
  | jq '{text: .choices[0].message.content, usage: .usage}'

async function chat(question) {
  const response = await fetch('https://api.yelu.ai/v1/chat/completions', {
    method: 'POST',
    headers: { Authorization: `Bearer ${process.env.YELU_API_KEY}`, 'Content-Type': 'application/json' },
    body: JSON.stringify({
      model: 'gpt-4o-mini',
      messages: [{ role: 'system', content: '用一个类比解释技术概念。' }, { role: 'user', content: question }],
      temperature: 0.3,
      max_completion_tokens: 180,
    }),
  });
  if (!response.ok) throw new Error(await response.text());
  const data = await response.json();
  return { text: data.choices[0].message.content, usage: data.usage };
}
console.log(await chat('什么是 Embedding？'));

import os
import requests

def chat(question):
    response = requests.post(
        "https://api.yelu.ai/v1/chat/completions",
        headers={"Authorization": f"Bearer {os.environ['YELU_API_KEY']}"},
        json={
            "model": "gpt-4o-mini",
            "messages": [{"role": "system", "content": "用一个类比解释技术概念。"}, {"role": "user", "content": question}],
            "temperature": 0.3,
            "max_completion_tokens": 180,
        },
        timeout=60,
    )
    response.raise_for_status()
    data = response.json()
    return {"text": data["choices"][0]["message"]["content"], "usage": data.get("usage")}

print(chat("什么是 Embedding？"))