reasoning_effort 控制思考力度(如 low / medium / high)。
curl https://tokendog.io/v1/chat/completions \
-H "Authorization: Bearer $TOKENDOG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model":"gpt-5.1",
"reasoning_effort":"high",
"messages":[{"role":"user","content":"一个数加上它的一半等于 36,求这个数。"}]
}'
from openai import OpenAI
client = OpenAI(base_url="https://tokendog.io/v1", api_key="YOUR_TOKENDOG_API_KEY")
resp = client.chat.completions.create(
model="gpt-5.1",
reasoning_effort="high",
messages=[{"role":"user","content":"一个数加上它的一半等于 36,求这个数。"}],
)
print(resp.choices[0].message.content)
import OpenAI from "openai";
const client = new OpenAI({ baseURL:"https://tokendog.io/v1", apiKey:"YOUR_TOKENDOG_API_KEY" });
const resp = await client.chat.completions.create({
model:"gpt-5.1",
reasoning_effort:"high",
messages:[{role:"user",content:"一个数加上它的一半等于 36,求这个数。"}],
});
console.log(resp.choices[0].message.content);
推理力度越高,思考越充分但耗时与成本也越高;简单任务用
low 即可。