OpenAI responses
curl --request POST \
--url https://api-vip.apigo.ai/v1/responses \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "gpt-4.1",
"input": "<string>",
"instructions": "<string>",
"max_output_tokens": 123
}
'import requests
url = "https://api-vip.apigo.ai/v1/responses"
payload = {
"model": "gpt-4.1",
"input": "<string>",
"instructions": "<string>",
"max_output_tokens": 123
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: 'gpt-4.1',
input: '<string>',
instructions: '<string>',
max_output_tokens: 123
})
};
fetch('https://api-vip.apigo.ai/v1/responses', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api-vip.apigo.ai/v1/responses",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => 'gpt-4.1',
'input' => '<string>',
'instructions' => '<string>',
'max_output_tokens' => 123
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api-vip.apigo.ai/v1/responses"
payload := strings.NewReader("{\n \"model\": \"gpt-4.1\",\n \"input\": \"<string>\",\n \"instructions\": \"<string>\",\n \"max_output_tokens\": 123\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api-vip.apigo.ai/v1/responses")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"gpt-4.1\",\n \"input\": \"<string>\",\n \"instructions\": \"<string>\",\n \"max_output_tokens\": 123\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api-vip.apigo.ai/v1/responses")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"gpt-4.1\",\n \"input\": \"<string>\",\n \"instructions\": \"<string>\",\n \"max_output_tokens\": 123\n}"
response = http.request(request)
puts response.read_body{
"id": "<string>",
"object": "response",
"status": "<string>",
"output_text": "<string>",
"output": [
{}
],
"usage": {
"input_tokens": 123,
"output_tokens": 123,
"total_tokens": 123
}
}{
"error": 123,
"message": "<string>"
}文本
/v1/responses
Unified OpenAI-compatible responses endpoint for text generation, multimodal input, and structured outputs.
POST
/
v1
/
responses
OpenAI responses
curl --request POST \
--url https://api-vip.apigo.ai/v1/responses \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "gpt-4.1",
"input": "<string>",
"instructions": "<string>",
"max_output_tokens": 123
}
'import requests
url = "https://api-vip.apigo.ai/v1/responses"
payload = {
"model": "gpt-4.1",
"input": "<string>",
"instructions": "<string>",
"max_output_tokens": 123
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: 'gpt-4.1',
input: '<string>',
instructions: '<string>',
max_output_tokens: 123
})
};
fetch('https://api-vip.apigo.ai/v1/responses', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api-vip.apigo.ai/v1/responses",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => 'gpt-4.1',
'input' => '<string>',
'instructions' => '<string>',
'max_output_tokens' => 123
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api-vip.apigo.ai/v1/responses"
payload := strings.NewReader("{\n \"model\": \"gpt-4.1\",\n \"input\": \"<string>\",\n \"instructions\": \"<string>\",\n \"max_output_tokens\": 123\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api-vip.apigo.ai/v1/responses")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"gpt-4.1\",\n \"input\": \"<string>\",\n \"instructions\": \"<string>\",\n \"max_output_tokens\": 123\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api-vip.apigo.ai/v1/responses")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"gpt-4.1\",\n \"input\": \"<string>\",\n \"instructions\": \"<string>\",\n \"max_output_tokens\": 123\n}"
response = http.request(request)
puts response.read_body{
"id": "<string>",
"object": "response",
"status": "<string>",
"output_text": "<string>",
"output": [
{}
],
"usage": {
"input_tokens": 123,
"output_tokens": 123,
"total_tokens": 123
}
}{
"error": 123,
"message": "<string>"
}用于创建统一的模型响应对象,适合文本生成、结构化输出、工具调用以及多模态输入。
这个接口比
chat.completions 更适合做新接入,因为它把文本、图像、工具和推理控制放进了同一套请求模型。不同模型支持的字段会有差异,尤其是推理能力、工具能力和多模态输入范围。
接入说明
- 鉴权方式使用
Authorization: Bearer {API_KEY} - 如果你要统一文本输出、结构化 JSON、工具调用和后续多模态扩展,优先使用这个接口
- 多轮对话可以通过
previous_response_id串联上下文 - 推理模型场景下,建议把
reasoning、max_output_tokens和tools这类控制项收敛到服务端统一下发 - 流式接入时同样需要按事件流逐段消费,而不是等待整包 JSON
请求重点
input是最常见的输入字段,可以承载文本或多模态内容块model用于指定本次调用的模型 ID- 如果要连续对话,可以结合
previous_response_id复用上下文,而不是每次重传全部历史 - 如果要做结构化输出,优先显式声明 JSON 格式相关配置,再在服务端做结果校验
- 如果要启用工具调用,需要一并传入
tools,并处理模型返回的工具调用结果
返回重点
- 简单文本结果通常可以从
output_text读取 - 更完整的结构化结果需要查看
output[]中的各类内容块 - 工具调用、推理片段和多模态输出也会落在统一响应对象里,客户端不要只假设返回纯文本
- 计费用量与输出状态可以从响应对象的元信息和
usage字段中读取
授权
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
请求体
application/json
