GPTs对话

POST https://api.quickrouter.ai/v1/chat/completions 在线调试 →

▼ Authorization

在 Header 添加参数 Authorization，其值为 Bearer 之后拼接 Token

示例： Authorization: Bearer ********************

模型名称格式为：gpt-4-gizmo-*，系统会自动进行识别比如这个GPTs：https://chatgpt.com/g/g-B3hgivKK9-write-for-me 那么它的模型名应该填写为：gpt-4-gizmo-g-B3hgivKK9 GPTs列表：https://chatgpt.com/gpts

请求参数

Header 参数

Content-Type string

必需

示例: application/json

Accept string

必需

示例: application/json

Authorization string

可选

示例: Bearer {{YOUR_API_KEY}}

Body 参数 application/json

model string

必需

要使用的模型的 ID。有关哪些模型可与聊天 API 一起使用的详细信息,请参阅模型端点兼容性表。

messages array [object]

必需

至今为止对话所包含的消息列表。Python 代码示例。

role string

可选

content string

可选

temperature integer

可选

使用什么采样温度，介于 0 和 2 之间。较高的值（如 0.8）将使输出更加随机，而较低的值（如 0.2）将使输出更加集中和确定。我们通常建议改变这个或top_p但不是两者。

top_p integer

可选

一种替代温度采样的方法，称为核采样，其中模型考虑具有 top_p 概率质量的标记的结果。所以 0.1 意味着只考虑构成前 10% 概率质量的标记。我们通常建议改变这个或temperature但不是两者。

n integer

可选

默认为 1 为每个输入消息生成多少个聊天补全选择。

stream boolean

可选

默认为 false 如果设置,则像在 ChatGPT 中一样会发送部分消息增量。标记将以仅数据的服务器发送事件的形式发送,这些事件在可用时,并在 data: [DONE] 消息终止流。Python 代码示例。

stop string

可选

默认为 null 最多 4 个序列,API 将停止进一步生成标记。

max_tokens integer

可选

默认为 inf 在聊天补全中生成的最大标记数。输入标记和生成标记的总长度受模型的上下文长度限制。计算标记的 Python 代码示例。

presence_penalty number

可选

-2.0 和 2.0 之间的数字。正值会根据到目前为止是否出现在文本中来惩罚新标记，从而增加模型谈论新主题的可能性。查看有关频率和存在惩罚的更多信息。

frequency_penalty number

可选

默认为 0 -2.0 到 2.0 之间的数字。正值根据文本目前的存在频率惩罚新标记,降低模型重复相同行的可能性。有关频率和存在惩罚的更多信息。

logit_bias null

可选

修改指定标记出现在补全中的可能性。接受一个 JSON 对象,该对象将标记(由标记器指定的标记 ID)映射到相关的偏差值(-100 到 100)。从数学上讲,偏差在对模型进行采样之前添加到模型生成的 logit 中。确切效果因模型而异,但-1 和 1 之间的值应减少或增加相关标记的选择可能性;如-100 或 100 这样的值应导致相关标记的禁用或独占选择。

user string

可选

代表您的最终用户的唯一标识符，可以帮助 OpenAI 监控和检测滥用行为。了解更多。

response_format object

可选

指定模型必须输出的格式的对象。将 { "type": "json_object" } 启用 JSON 模式,这可以确保模型生成的消息是有效的 JSON。重要提示:使用 JSON 模式时,还必须通过系统或用户消息指示模型生成 JSON。如果不这样做,模型可能会生成无休止的空白流,直到生成达到令牌限制,从而导致延迟增加和请求“卡住”的外观。另请注意,如果 finish_reason="length",则消息内容可能会被部分切断,这表示生成超过了 max_tokens 或对话超过了最大上下文长度。显示属性

seen integer

可选

此功能处于测试阶段。如果指定,我们的系统将尽最大努力确定性地进行采样,以便使用相同的种子和参数进行重复请求应返回相同的结果。不能保证确定性,您应该参考 system_fingerprint 响应参数来监控后端的更改。

tools array[string]

必需

模型可以调用的一组工具列表。目前,只支持作为工具的函数。使用此功能来提供模型可以为之生成 JSON 输入的函数列表。

tool_choice object

必需

控制模型调用哪个函数(如果有的话)。none 表示模型不会调用函数,而是生成消息。auto 表示模型可以在生成消息和调用函数之间进行选择。通过 {"type": "function", "function": {"name": "my_function"}} 强制模型调用该函数。如果没有函数存在,默认为 none。如果有函数存在,默认为 auto。

示例

{
    "model": "gpt-4-gizmo-g-2fkFE8rbu",
    "messages": [
        {
            "role": "user",
            "content": "你是谁"
        }
    ],
    "stream": false
}

请求示例代码

curl --location --request POST 'https://api.quickrouter.ai/v1/chat/completions' \
--header 'Accept: application/json' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data-raw '{
    "model": "gpt-4-gizmo-g-2fkFE8rbu",
    "messages": [
        {
            "role": "user",
            "content": "你是谁"
        }
    ],
    "stream": false
}'

var myHeaders = new Headers();
myHeaders.append("Accept", "application/json");
myHeaders.append("Authorization", "Bearer YOUR_API_KEY");
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
    "model": "gpt-4-gizmo-g-2fkFE8rbu",
    "messages": [
        {
            "role": "user",
            "content": "你是谁"
        }
    ],
    "stream": false
});

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 java.io.*;
import java.net.*;
import java.util.*;

URL url = new URL("https://api.quickrouter.ai/v1/chat/completions");
HttpURLConnection conn = (HttpURLConnection) url.openConnection();
conn.setRequestMethod("POST");
conn.setRequestProperty("Accept", "application/json");
conn.setRequestProperty("Authorization", "Bearer YOUR_API_KEY");
conn.setRequestProperty("Content-Type", "application/json");
conn.setDoOutput(true);
String jsonInputString = "{
    \"model\": \"gpt-4-gizmo-g-2fkFE8rbu\",
    \"messages\": [
        {
            \"role\": \"user\",
            \"content\": \"你是谁\"
        }
    ],
    \"stream\": false
}";
try(OutputStream os = conn.getOutputStream()) {
    byte[] input = jsonInputString.getBytes("utf-8");
    os.write(input, 0, input.length);
}
int responseCode = conn.getResponseCode();
System.out.println("Response Code: " + responseCode);

import Foundation

let urlString = "https://api.quickrouter.ai/v1/chat/completions"
guard let url = URL(string: urlString) else { return }
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.addValue("application/json", forHTTPHeaderField: "Accept")
request.addValue("Bearer YOUR_API_KEY", forHTTPHeaderField: "Authorization")
request.addValue("application/json", forHTTPHeaderField: "Content-Type")
let httpBody = "{
    \"model\": \"gpt-4-gizmo-g-2fkFE8rbu\",
    \"messages\": [
        {
            \"role\": \"user\",
            \"content\": \"你是谁\"
        }
    ],
    \"stream\": false
}"
request.httpBody = httpBody.data(using: .utf8)

let task = URLSession.shared.dataTask(with: request) { data, response, error in
    if let data = data {
        print(String(data: data, encoding: .utf8)!)
    }
}
task.resume()

package main

import (
    "fmt"
    "io"
    "net/http"
)

func main() {
    body := strings.NewReader(`{
    "model": "gpt-4-gizmo-g-2fkFE8rbu",
    "messages": [
        {
            "role": "user",
            "content": "你是谁"
        }
    ],
    "stream": false
}`)
    req, _ := http.NewRequest("POST", "https://api.quickrouter.ai/v1/chat/completions", body)
    req.Header.Set("Accept", "application/json")
    req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
    req.Header.Set("Content-Type", "application/json")
    client := &http.Client{}
    resp, _ := client.Do(req)
    defer resp.Body.Close()
    bodyBytes, _ := io.ReadAll(resp.Body)
    fmt.Println(string(bodyBytes))
}

<?php

$curl = curl_init();
curl_setopt_array($curl, array(
  CURLOPT_URL => 'https://api.quickrouter.ai/v1/chat/completions',
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_CUSTOMREQUEST => 'POST',
  CURLOPT_POSTFIELDS => '{
    "model": "gpt-4-gizmo-g-2fkFE8rbu",
    "messages": [
        {
            "role": "user",
            "content": "你是谁"
        }
    ],
    "stream": false
}',
  CURLOPT_HTTPHEADER => array(
    "Accept: application/json",
    "Authorization: Bearer YOUR_API_KEY",
    "Content-Type: application/json",
  ),
));
$response = curl_exec($curl);
curl_close($curl);
echo $response;

import http.client
import json

conn = http.client.HTTPSConnection("api.quickrouter.ai")
payload = json.dumps({
    "model": "gpt-4-gizmo-g-2fkFE8rbu",
    "messages": [
        {
            "role": "user",
            "content": "你是谁"
        }
    ],
    "stream": false
})
headers = {
   'Accept': 'application/json',
   'Authorization': 'Bearer YOUR_API_KEY',
   'Content-Type': 'application/json',
}
conn.request("POST", "/v1/chat/completions", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))

POST https://api.quickrouter.ai/v1/chat/completions HTTP/1.1
Accept: application/json
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
    "model": "gpt-4-gizmo-g-2fkFE8rbu",
    "messages": [
        {
            "role": "user",
            "content": "你是谁"
        }
    ],
    "stream": false
}

CURL *hnd = curl_easy_init();
curl_easy_setopt(hnd, CURLOPT_CUSTOMREQUEST, "POST");
curl_easy_setopt(hnd, CURLOPT_URL, "https://api.quickrouter.ai/v1/chat/completions");

struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "Accept: application/json");
headers = curl_slist_append(headers, "Authorization: Bearer YOUR_API_KEY");
headers = curl_slist_append(headers, "Content-Type: application/json");
curl_easy_setopt(hnd, CURLOPT_HTTPHEADER, headers);
curl_easy_setopt(hnd, CURLOPT_POSTFIELDS, "{
    \"model\": \"gpt-4-gizmo-g-2fkFE8rbu\",
    \"messages\": [
        {
            \"role\": \"user\",
            \"content\": \"你是谁\"
        }
    ],
    \"stream\": false
}");
CURLcode ret = curl_easy_perform(hnd);

var client = new RestClient("https://api.quickrouter.ai/v1/chat/completions");
var request = new RestRequest(Method.POST);
request.AddHeader("Accept", "application/json");
request.AddHeader("Authorization", "Bearer YOUR_API_KEY");
request.AddHeader("Content-Type", "application/json");
request.AddParameter("application/json", @"{
    "model": "gpt-4-gizmo-g-2fkFE8rbu",
    "messages": [
        {
            "role": "user",
            "content": "你是谁"
        }
    ],
    "stream": false
}", ParameterType.RequestBody);
IRestResponse response = client.Execute(request);
Console.WriteLine(response.Content);

#import <Foundation/Foundation.h>

NSURL *url = [NSURL URLWithString:@"https://api.quickrouter.ai/v1/chat/completions"];
NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
[request setHTTPMethod:@"POST"];
[request setValue:@"application/json" forHTTPHeaderField:@"Accept"];
[request setValue:@"Bearer YOUR_API_KEY" forHTTPHeaderField:@"Authorization"];
[request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
[request setHTTPBody:[@"{
    \"model\": \"gpt-4-gizmo-g-2fkFE8rbu\",
    \"messages\": [
        {
            \"role\": \"user\",
            \"content\": \"你是谁\"
        }
    ],
    \"stream\": false
}" dataUsingEncoding:NSUTF8StringEncoding]];
NSURLSessionDataTask *task = [[NSURLSession sharedSession] dataTaskWithRequest:request completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
    NSLog(@"%@", [[NSString alloc] initWithData:data encoding:NSUTF8StringEncoding]);
}];
[task resume];

require "uri"
require "net/http"
require "json"

url = URI("https://api.quickrouter.ai/v1/chat/completions")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Accept"] = "application/json"
request["Authorization"] = "Bearer YOUR_API_KEY"
request["Content-Type"] = "application/json"
request.body = '{
    "model": "gpt-4-gizmo-g-2fkFE8rbu",
    "messages": [
        {
            "role": "user",
            "content": "你是谁"
        }
    ],
    "stream": false
}'
response = http.request(request)
puts response.read_body

(* Requires cohttp and lwt *)

let url = "https://api.quickrouter.ai/v1/chat/completions" in
let headers = Cohttp.Header.of_list [
  ("Accept", "application/json");
  ("Authorization", "Bearer YOUR_API_KEY");
  ("Content-Type", "application/json");
] in
let body = Cohttp_lwt.Body.of_string '{
    "model": "gpt-4-gizmo-g-2fkFE8rbu",
    "messages": [
        {
            "role": "user",
            "content": "你是谁"
        }
    ],
    "stream": false
}' in
Lwt_main.run (
  Cohttp_lwt_unix.Client.request ?body:(Some body) ~method_:`POST ~headers (Uri.of_string url)
  >>= fun (resp, body) ->
  Cohttp_lwt.Body.to_string body >|= fun s -> print_endline s
)

import 'package:http/http.dart' as http;
import 'dart:convert';

var headers = {
  "Accept": "application/json",
  "Authorization": "Bearer YOUR_API_KEY",
  "Content-Type": "application/json",
};
var body = json.encode({
    "model": "gpt-4-gizmo-g-2fkFE8rbu",
    "messages": [
        {
            "role": "user",
            "content": "你是谁"
        }
    ],
    "stream": false
});
var response = await http.post(Uri.parse("https://api.quickrouter.ai/v1/chat/completions"), headers: headers, body: body);
print(response.body);

library(httr)

url <- "https://api.quickrouter.ai/v1/chat/completions"
body <- '{
    "model": "gpt-4-gizmo-g-2fkFE8rbu",
    "messages": [
        {
            "role": "user",
            "content": "你是谁"
        }
    ],
    "stream": false
}'
response <- post(url, body = body, add_headers("Accept" = "application/json", "Authorization" = "Bearer YOUR_API_KEY", "Content-Type" = "application/json"))
content(response, "text", encoding = "UTF-8")

返回响应

响应参数 🟢 200 OK · application/json

id string

必需

object string

必需

created integer

必需

choices array [object]

必需

index integer

可选

message object

可选

finish_reason string

可选

usage object

必需

prompt_tokens integer

必需

completion_tokens integer

必需

total_tokens integer

必需

示例

{
    "id": "chatcmpl-123",
    "object": "chat.completion",
    "created": 1677652288,
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": "\n\nHello there, how may I assist you today?"
            },
            "finish_reason": "stop"
        }
    ],
    "usage": {
        "prompt_tokens": 9,
        "completion_tokens": 12,
        "total_tokens": 21
    }
}

GPTs对话

请求参数

请求示例代码

返回响应

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