工具调用

curl https://tokendog.io/v1/chat/completions \
  -H "Authorization: Bearer $TOKENDOG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model":"gpt-5",
    "messages":[{"role":"user","content":"北京现在天气怎么样？"}],
    "tools":[{"type":"function","function":{
      "name":"get_weather",
      "description":"查询某城市的当前天气",
      "parameters":{"type":"object","properties":{"city":{"type":"string"}},"required":["city"]}
    }}]
  }'

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",
    messages=[{"role":"user","content":"北京现在天气怎么样？"}],
    tools=[{"type":"function","function":{
        "name":"get_weather",
        "description":"查询某城市的当前天气",
        "parameters":{"type":"object","properties":{"city":{"type":"string"}},"required":["city"]},
    }}],
)
print(resp.choices[0].message.tool_calls)

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",
  messages:[{role:"user",content:"北京现在天气怎么样？"}],
  tools:[{type:"function",function:{
    name:"get_weather",
    description:"查询某城市的当前天气",
    parameters:{type:"object",properties:{city:{type:"string"}},required:["city"]},
  }}],
});
console.log(resp.choices[0].message.tool_calls);