Function Calling 调用
▼
Authorization
在 Header 添加参数 Authorization，其值为 Bearer 之后拼接 Token
示例：
Authorization: Bearer ********************
请求参数
Header 参数
Content-Type
string
必需
示例: application/json
Authorization
string
必需
示例: Bearer $OPENAI_API_KEY
Body 参数 application/json
model
string
必需
要使用的模型的 ID，如 gpt-4o。
messages
array [object]
必需
至今为止对话所包含的消息列表。
tools
array [object]
必需
模型可以调用的一组工具列表，目前只支持函数工具。
tool_choice
object
可选
控制模型调用哪个函数。none 表示不调用，auto 表示自动选择。
temperature
number
可选
使用什么采样温度，介于 0 和 2 之间。
max_tokens
integer
可选
生成的最大标记数。
stream
boolean
可选
设置为 true 启用流式输出。
示例
{
"stream": false,
"messages": [
{
"role": "user",
"content": "北京今天天气怎么样"
}
],
"tools": [
{
"type": "function",
"function": {
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA"
},
"unit": {
"type": "string",
"enum": ["celsius", "fahrenheit"]
}
},
"required": ["location"]
}
}
}
],
"max_tokens": 1000,
"temperature": 0.8,
"model": "gpt-4o"
}请求示例代码
curl --location --request POST 'https://api.quickrouter.ai/v1/chat/completions' \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data-raw '{
"stream": false,
"messages": [
{
"role": "user",
"content": "北京今天天气怎么样"
}
],
"tools": [
{
"type": "function",
"function": {
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA"
},
"unit": {
"type": "string",
"enum": ["celsius", "fahrenheit"]
}
},
"required": ["location"]
}
}
}
],
"max_tokens": 1000,
"temperature": 0.8,
"model": "gpt-4o"
}'var myHeaders = new Headers();
myHeaders.append("Authorization", "Bearer <token>");
myHeaders.append("Content-Type", "application/json");
var raw = JSON.stringify({
"stream": false,
"messages": [
{
"role": "user",
"content": "北京今天天气怎么样"
}
],
"tools": [
{
"type": "function",
"function": {
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA"
},
"unit": {
"type": "string",
"enum": ["celsius", "fahrenheit"]
}
},
"required": ["location"]
}
}
}
],
"max_tokens": 1000,
"temperature": 0.8,
"model": "gpt-4o"
});
var requestOptions = {
method: 'POST',
headers: myHeaders,
body: raw,
redirect: 'follow'
};
fetch("https://api.quickrouter.ai/v1/chat/completions", requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));import http.client
import json
conn = http.client.HTTPSConnection("api.quickrouter.ai")
payload = json.dumps({
"stream": False,
"messages": [
{
"role": "user",
"content": "北京今天天气怎么样"
}
],
"tools": [
{
"type": "function",
"function": {
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA"
},
"unit": {
"type": "string",
"enum": ["celsius", "fahrenheit"]
}
},
"required": ["location"]
}
}
}
],
"max_tokens": 1000,
"temperature": 0.8,
"model": "gpt-4o"
})
headers = {
'Authorization': 'Bearer <token>',
'Content-Type': 'application/json'
}
conn.request("POST", "/v1/chat/completions", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))返回响应
响应参数 🟢 200 OK · application/json
id
string
必需
object
string
必需
choices
array [object]
必需
usage
object
必需
示例
{
"id": "chatcmpl-123",
"object": "chat.completion",
"created": 1677652288,
"model": "gpt-4o",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": null,
"tool_calls": [
{
"id": "call_abc123",
"type": "function",
"function": {
"name": "get_current_weather",
"arguments": "{\"location\": \"北京\"}"
}
}
]
},
"finish_reason": "tool_calls"
}
],
"usage": {
"prompt_tokens": 82,
"completion_tokens": 18,
"total_tokens": 100
}
}