第一次 API 请求
通过兼容 OpenAI 和 Anthropic 的 API 调用 Tokener.ai 的示例。
继续使用你已有的 API 形态。将它指向生产 API,然后从实时模型目录选择一个对话或推理模型 id。
OpenAI — Node.js
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.TOKENER_API_KEY,
baseURL: "https://api.tokener.ai/v1",
});
const completion = await client.chat.completions.create({
model: "YOUR_MODEL_ID",
messages: [{ role: "user", content: "用一句话概括 Tokener.ai。" }],
});
console.log(completion.choices[0]?.message.content);OpenAI — Python
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["TOKENER_API_KEY"],
base_url="https://api.tokener.ai/v1",
)
completion = client.chat.completions.create(
model="YOUR_MODEL_ID",
messages=[{"role": "user", "content": "用一句话概括 Tokener.ai。"}],
)
print(completion.choices[0].message.content)Anthropic — Messages
curl https://api.tokener.ai/v1/messages \
-H "x-api-key: $TOKENER_API_KEY" \
-H "content-type: application/json" \
-d '{"model":"YOUR_MODEL_ID","max_tokens":256,"messages":[{"role":"user","content":"用一句话概括 Tokener.ai。"}]}'