一个平台，
调用多家主流模型。

          # 同样的请求体，换 base_url 即接入
curl https://tokenfleet.cn/default/v1/chat/completions \
  -H "Authorization: Bearer $TOKENFLEET_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4-pro",
    "messages": [{"role": "user", "content": "用一句话解释 RAG。"}]
  }'
        

          from openai import OpenAI

client = OpenAI(
    base_url="https://tokenfleet.cn/default/v1",
    api_key=os.environ["TOKENFLEET_API_KEY"],
)

resp = client.chat.completions.create(
    model="deepseek-v4-pro",
    messages=[{"role": "user", "content": "用一句话解释 RAG。"}],
)
print(resp.choices[0].message.content)
        

          import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://tokenfleet.cn/default/v1",
  apiKey: process.env.TOKENFLEET_API_KEY,
});

const resp = await client.chat.completions.create({
  model: "deepseek-v4-pro",
  messages: [{ role: "user", content: "用一句话解释 RAG。" }],
});
console.log(resp.choices[0].message.content);