Create a model response
curl --request POST \
--url https://ai.cubeuaeai.com/v1/responses \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "gpt-5.2-codex",
"input": [
{
"role": "user",
"content": "Hello!"
}
],
"stream": false,
"temperature": 1,
"top_p": 0.5,
"frequency_penalty": 0,
"presence_penalty": 0,
"max_output_tokens": 2,
"stop": "<string>",
"n": 1,
"text": {
"format": {}
},
"reasoning": {},
"tools": [
{}
],
"tool_choice": "<string>",
"store": true,
"user": "<string>"
}
'import requests
url = "https://ai.cubeuaeai.com/v1/responses"
payload = {
"model": "gpt-5.2-codex",
"input": [
{
"role": "user",
"content": "Hello!"
}
],
"stream": False,
"temperature": 1,
"top_p": 0.5,
"frequency_penalty": 0,
"presence_penalty": 0,
"max_output_tokens": 2,
"stop": "<string>",
"n": 1,
"text": { "format": {} },
"reasoning": {},
"tools": [{}],
"tool_choice": "<string>",
"store": True,
"user": "<string>"
}
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-5.2-codex',
input: [{role: 'user', content: 'Hello!'}],
stream: false,
temperature: 1,
top_p: 0.5,
frequency_penalty: 0,
presence_penalty: 0,
max_output_tokens: 2,
stop: '<string>',
n: 1,
text: {format: {}},
reasoning: {},
tools: [{}],
tool_choice: '<string>',
store: true,
user: '<string>'
})
};
fetch('https://ai.cubeuaeai.com/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://ai.cubeuaeai.com/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-5.2-codex',
'input' => [
[
'role' => 'user',
'content' => 'Hello!'
]
],
'stream' => false,
'temperature' => 1,
'top_p' => 0.5,
'frequency_penalty' => 0,
'presence_penalty' => 0,
'max_output_tokens' => 2,
'stop' => '<string>',
'n' => 1,
'text' => [
'format' => [
]
],
'reasoning' => [
],
'tools' => [
[
]
],
'tool_choice' => '<string>',
'store' => true,
'user' => '<string>'
]),
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://ai.cubeuaeai.com/v1/responses"
payload := strings.NewReader("{\n \"model\": \"gpt-5.2-codex\",\n \"input\": [\n {\n \"role\": \"user\",\n \"content\": \"Hello!\"\n }\n ],\n \"stream\": false,\n \"temperature\": 1,\n \"top_p\": 0.5,\n \"frequency_penalty\": 0,\n \"presence_penalty\": 0,\n \"max_output_tokens\": 2,\n \"stop\": \"<string>\",\n \"n\": 1,\n \"text\": {\n \"format\": {}\n },\n \"reasoning\": {},\n \"tools\": [\n {}\n ],\n \"tool_choice\": \"<string>\",\n \"store\": true,\n \"user\": \"<string>\"\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://ai.cubeuaeai.com/v1/responses")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"gpt-5.2-codex\",\n \"input\": [\n {\n \"role\": \"user\",\n \"content\": \"Hello!\"\n }\n ],\n \"stream\": false,\n \"temperature\": 1,\n \"top_p\": 0.5,\n \"frequency_penalty\": 0,\n \"presence_penalty\": 0,\n \"max_output_tokens\": 2,\n \"stop\": \"<string>\",\n \"n\": 1,\n \"text\": {\n \"format\": {}\n },\n \"reasoning\": {},\n \"tools\": [\n {}\n ],\n \"tool_choice\": \"<string>\",\n \"store\": true,\n \"user\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://ai.cubeuaeai.com/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-5.2-codex\",\n \"input\": [\n {\n \"role\": \"user\",\n \"content\": \"Hello!\"\n }\n ],\n \"stream\": false,\n \"temperature\": 1,\n \"top_p\": 0.5,\n \"frequency_penalty\": 0,\n \"presence_penalty\": 0,\n \"max_output_tokens\": 2,\n \"stop\": \"<string>\",\n \"n\": 1,\n \"text\": {\n \"format\": {}\n },\n \"reasoning\": {},\n \"tools\": [\n {}\n ],\n \"tool_choice\": \"<string>\",\n \"store\": true,\n \"user\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"id": "resp_0ed94fe7ec73cf560169afd97bba648194b8661d445cfa4244",
"object": "response",
"created_at": 1773132155,
"model": "gpt-5.2-codex",
"status": "completed",
"output": [
{
"id": "msg_0ed94fe7ec73cf56",
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Hello! How can I help you?",
"annotations": [
{}
]
}
]
}
],
"usage": {
"input_tokens": 8,
"input_tokens_details": {
"cached_tokens": 0
},
"output_tokens": 15,
"output_tokens_details": {
"reasoning_tokens": 0
},
"total_tokens": 23
},
"completed_at": 1773132156,
"reasoning": {
"effort": "high",
"summary": "detailed"
},
"text": {
"format": {
"type": "text"
},
"verbosity": "medium"
}
}{
"error": {
"code": "<string>",
"message": "<string>"
}
}{
"error": {
"code": "<string>",
"message": "<string>"
}
}{
"error": {
"code": "<string>",
"message": "<string>"
}
}OpenAI
gpt-5.2-codex
Generate a model response from the input. Some OpenAI models only support the Responses format.
POST
/
v1
/
responses
Create a model response
curl --request POST \
--url https://ai.cubeuaeai.com/v1/responses \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "gpt-5.2-codex",
"input": [
{
"role": "user",
"content": "Hello!"
}
],
"stream": false,
"temperature": 1,
"top_p": 0.5,
"frequency_penalty": 0,
"presence_penalty": 0,
"max_output_tokens": 2,
"stop": "<string>",
"n": 1,
"text": {
"format": {}
},
"reasoning": {},
"tools": [
{}
],
"tool_choice": "<string>",
"store": true,
"user": "<string>"
}
'import requests
url = "https://ai.cubeuaeai.com/v1/responses"
payload = {
"model": "gpt-5.2-codex",
"input": [
{
"role": "user",
"content": "Hello!"
}
],
"stream": False,
"temperature": 1,
"top_p": 0.5,
"frequency_penalty": 0,
"presence_penalty": 0,
"max_output_tokens": 2,
"stop": "<string>",
"n": 1,
"text": { "format": {} },
"reasoning": {},
"tools": [{}],
"tool_choice": "<string>",
"store": True,
"user": "<string>"
}
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-5.2-codex',
input: [{role: 'user', content: 'Hello!'}],
stream: false,
temperature: 1,
top_p: 0.5,
frequency_penalty: 0,
presence_penalty: 0,
max_output_tokens: 2,
stop: '<string>',
n: 1,
text: {format: {}},
reasoning: {},
tools: [{}],
tool_choice: '<string>',
store: true,
user: '<string>'
})
};
fetch('https://ai.cubeuaeai.com/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://ai.cubeuaeai.com/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-5.2-codex',
'input' => [
[
'role' => 'user',
'content' => 'Hello!'
]
],
'stream' => false,
'temperature' => 1,
'top_p' => 0.5,
'frequency_penalty' => 0,
'presence_penalty' => 0,
'max_output_tokens' => 2,
'stop' => '<string>',
'n' => 1,
'text' => [
'format' => [
]
],
'reasoning' => [
],
'tools' => [
[
]
],
'tool_choice' => '<string>',
'store' => true,
'user' => '<string>'
]),
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://ai.cubeuaeai.com/v1/responses"
payload := strings.NewReader("{\n \"model\": \"gpt-5.2-codex\",\n \"input\": [\n {\n \"role\": \"user\",\n \"content\": \"Hello!\"\n }\n ],\n \"stream\": false,\n \"temperature\": 1,\n \"top_p\": 0.5,\n \"frequency_penalty\": 0,\n \"presence_penalty\": 0,\n \"max_output_tokens\": 2,\n \"stop\": \"<string>\",\n \"n\": 1,\n \"text\": {\n \"format\": {}\n },\n \"reasoning\": {},\n \"tools\": [\n {}\n ],\n \"tool_choice\": \"<string>\",\n \"store\": true,\n \"user\": \"<string>\"\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://ai.cubeuaeai.com/v1/responses")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"gpt-5.2-codex\",\n \"input\": [\n {\n \"role\": \"user\",\n \"content\": \"Hello!\"\n }\n ],\n \"stream\": false,\n \"temperature\": 1,\n \"top_p\": 0.5,\n \"frequency_penalty\": 0,\n \"presence_penalty\": 0,\n \"max_output_tokens\": 2,\n \"stop\": \"<string>\",\n \"n\": 1,\n \"text\": {\n \"format\": {}\n },\n \"reasoning\": {},\n \"tools\": [\n {}\n ],\n \"tool_choice\": \"<string>\",\n \"store\": true,\n \"user\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://ai.cubeuaeai.com/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-5.2-codex\",\n \"input\": [\n {\n \"role\": \"user\",\n \"content\": \"Hello!\"\n }\n ],\n \"stream\": false,\n \"temperature\": 1,\n \"top_p\": 0.5,\n \"frequency_penalty\": 0,\n \"presence_penalty\": 0,\n \"max_output_tokens\": 2,\n \"stop\": \"<string>\",\n \"n\": 1,\n \"text\": {\n \"format\": {}\n },\n \"reasoning\": {},\n \"tools\": [\n {}\n ],\n \"tool_choice\": \"<string>\",\n \"store\": true,\n \"user\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"id": "resp_0ed94fe7ec73cf560169afd97bba648194b8661d445cfa4244",
"object": "response",
"created_at": 1773132155,
"model": "gpt-5.2-codex",
"status": "completed",
"output": [
{
"id": "msg_0ed94fe7ec73cf56",
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Hello! How can I help you?",
"annotations": [
{}
]
}
]
}
],
"usage": {
"input_tokens": 8,
"input_tokens_details": {
"cached_tokens": 0
},
"output_tokens": 15,
"output_tokens_details": {
"reasoning_tokens": 0
},
"total_tokens": 23
},
"completed_at": 1773132156,
"reasoning": {
"effort": "high",
"summary": "detailed"
},
"text": {
"format": {
"type": "text"
},
"verbosity": "medium"
}
}{
"error": {
"code": "<string>",
"message": "<string>"
}
}{
"error": {
"code": "<string>",
"message": "<string>"
}
}{
"error": {
"code": "<string>",
"message": "<string>"
}
}Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Body
application/json
model ID
Available options:
gpt-5.2-codex Example:
"gpt-5.2-codex"
Text or image input for the model, used to generate a response.
Minimum array length:
1Show child attributes
Show child attributes
Example:
[{ "role": "user", "content": "Hello!" }]
When enabled, results are streamed back via SSE.
Sampling temperature. Higher values make the output more random.
Required range:
0 <= x <= 2Example:
1
Nucleus sampling threshold.
Required range:
0 <= x <= 1Penalize repeated tokens based on frequency.
Required range:
-2 <= x <= 2Penalize tokens that have already appeared.
Required range:
-2 <= x <= 2Maximum number of output tokens.
Required range:
x >= 1Character sequences that stop generation.
How many response choices to generate.
Required range:
x >= 1Configuration options for the model's text response.
Show child attributes
Show child attributes
Model reasoning/thinking configuration.
Show child attributes
Show child attributes
A list of tools the model can call.
Controls which tool the model calls.
Whether to store the generated model response for later retrieval via API.
A unique identifier representing the end user.
Response
Response generated successfully
Example:
"resp_0ed94fe7ec73cf560169afd97bba648194b8661d445cfa4244"
Example:
"response"
Unix timestamp when the response was created.
Example:
1773132155
Example:
"gpt-5.2-codex"
Available options:
completed, failed, in_progress, incomplete Example:
"completed"
Show child attributes
Show child attributes
Show child attributes
Show child attributes
Unix timestamp when the response was completed.
Example:
1773132156
Show child attributes
Show child attributes
Show child attributes
Show child attributes