curl --request POST \
  --url https://api.ttapi.io/v1/responses \
  --header 'Authorization: <api-key>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gpt-5.4-mini",
  "input": "请用通俗语言解释量子计算。",
  "instructions": "<string>",
  "previous_response_id": "<string>",
  "conversation": "<string>",
  "background": false,
  "include": [],
  "max_output_tokens": 2,
  "max_tool_calls": 2,
  "metadata": {},
  "parallel_tool_calls": true,
  "prompt_cache_key": "<string>",
  "reasoning": {},
  "safety_identifier": "<string>",
  "store": true,
  "stream": false,
  "stream_options": {
    "include_obfuscation": true
  },
  "temperature": 1,
  "text": {
    "format": {}
  },
  "tools": [
    {}
  ],
  "top_logprobs": 10,
  "top_p": 0.5,
  "truncation": "disabled"
}
'

import requests

url = "https://api.ttapi.io/v1/responses"

payload = {
    "model": "gpt-5.4-mini",
    "input": "请用通俗语言解释量子计算。",
    "instructions": "<string>",
    "previous_response_id": "<string>",
    "conversation": "<string>",
    "background": False,
    "include": [],
    "max_output_tokens": 2,
    "max_tool_calls": 2,
    "metadata": {},
    "parallel_tool_calls": True,
    "prompt_cache_key": "<string>",
    "reasoning": {},
    "safety_identifier": "<string>",
    "store": True,
    "stream": False,
    "stream_options": { "include_obfuscation": True },
    "temperature": 1,
    "text": { "format": {} },
    "tools": [{}],
    "top_logprobs": 10,
    "top_p": 0.5,
    "truncation": "disabled"
}
headers = {
    "Authorization": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'gpt-5.4-mini',
    input: '请用通俗语言解释量子计算。',
    instructions: '<string>',
    previous_response_id: '<string>',
    conversation: '<string>',
    background: false,
    include: [],
    max_output_tokens: 2,
    max_tool_calls: 2,
    metadata: {},
    parallel_tool_calls: true,
    prompt_cache_key: '<string>',
    reasoning: {},
    safety_identifier: '<string>',
    store: true,
    stream: false,
    stream_options: {include_obfuscation: true},
    temperature: 1,
    text: {format: {}},
    tools: [{}],
    top_logprobs: 10,
    top_p: 0.5,
    truncation: 'disabled'
  })
};

fetch('https://api.ttapi.io/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.ttapi.io/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-5.4-mini',
    'input' => '请用通俗语言解释量子计算。',
    'instructions' => '<string>',
    'previous_response_id' => '<string>',
    'conversation' => '<string>',
    'background' => false,
    'include' => [
        
    ],
    'max_output_tokens' => 2,
    'max_tool_calls' => 2,
    'metadata' => [
        
    ],
    'parallel_tool_calls' => true,
    'prompt_cache_key' => '<string>',
    'reasoning' => [
        
    ],
    'safety_identifier' => '<string>',
    'store' => true,
    'stream' => false,
    'stream_options' => [
        'include_obfuscation' => true
    ],
    'temperature' => 1,
    'text' => [
        'format' => [
                
        ]
    ],
    'tools' => [
        [
                
        ]
    ],
    'top_logprobs' => 10,
    'top_p' => 0.5,
    'truncation' => 'disabled'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: <api-key>",
    "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.ttapi.io/v1/responses"

	payload := strings.NewReader("{\n  \"model\": \"gpt-5.4-mini\",\n  \"input\": \"请用通俗语言解释量子计算。\",\n  \"instructions\": \"<string>\",\n  \"previous_response_id\": \"<string>\",\n  \"conversation\": \"<string>\",\n  \"background\": false,\n  \"include\": [],\n  \"max_output_tokens\": 2,\n  \"max_tool_calls\": 2,\n  \"metadata\": {},\n  \"parallel_tool_calls\": true,\n  \"prompt_cache_key\": \"<string>\",\n  \"reasoning\": {},\n  \"safety_identifier\": \"<string>\",\n  \"store\": true,\n  \"stream\": false,\n  \"stream_options\": {\n    \"include_obfuscation\": true\n  },\n  \"temperature\": 1,\n  \"text\": {\n    \"format\": {}\n  },\n  \"tools\": [\n    {}\n  ],\n  \"top_logprobs\": 10,\n  \"top_p\": 0.5,\n  \"truncation\": \"disabled\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "<api-key>")
	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.ttapi.io/v1/responses")
  .header("Authorization", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"gpt-5.4-mini\",\n  \"input\": \"请用通俗语言解释量子计算。\",\n  \"instructions\": \"<string>\",\n  \"previous_response_id\": \"<string>\",\n  \"conversation\": \"<string>\",\n  \"background\": false,\n  \"include\": [],\n  \"max_output_tokens\": 2,\n  \"max_tool_calls\": 2,\n  \"metadata\": {},\n  \"parallel_tool_calls\": true,\n  \"prompt_cache_key\": \"<string>\",\n  \"reasoning\": {},\n  \"safety_identifier\": \"<string>\",\n  \"store\": true,\n  \"stream\": false,\n  \"stream_options\": {\n    \"include_obfuscation\": true\n  },\n  \"temperature\": 1,\n  \"text\": {\n    \"format\": {}\n  },\n  \"tools\": [\n    {}\n  ],\n  \"top_logprobs\": 10,\n  \"top_p\": 0.5,\n  \"truncation\": \"disabled\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.ttapi.io/v1/responses")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"gpt-5.4-mini\",\n  \"input\": \"请用通俗语言解释量子计算。\",\n  \"instructions\": \"<string>\",\n  \"previous_response_id\": \"<string>\",\n  \"conversation\": \"<string>\",\n  \"background\": false,\n  \"include\": [],\n  \"max_output_tokens\": 2,\n  \"max_tool_calls\": 2,\n  \"metadata\": {},\n  \"parallel_tool_calls\": true,\n  \"prompt_cache_key\": \"<string>\",\n  \"reasoning\": {},\n  \"safety_identifier\": \"<string>\",\n  \"store\": true,\n  \"stream\": false,\n  \"stream_options\": {\n    \"include_obfuscation\": true\n  },\n  \"temperature\": 1,\n  \"text\": {\n    \"format\": {}\n  },\n  \"tools\": [\n    {}\n  ],\n  \"top_logprobs\": 10,\n  \"top_p\": 0.5,\n  \"truncation\": \"disabled\"\n}"

response = http.request(request)
puts response.read_body

{
  "id": "resp_67ccd2bed1ec8190b14f964abc0542670bb6a6b452d3795b",
  "object": "<string>",
  "created_at": 1741476542,
  "model": "<string>",
  "output": [
    {
      "type": "<string>",
      "id": "<string>",
      "status": "<string>",
      "role": "assistant",
      "content": [
        {
          "text": "<string>",
          "refusal": "<string>",
          "annotations": [
            {}
          ],
          "logprobs": [
            {}
          ]
        }
      ],
      "call_id": "<string>",
      "name": "<string>",
      "arguments": "<string>"
    }
  ],
  "error": {
    "code": "<string>",
    "message": "<string>"
  },
  "incomplete_details": {},
  "output_text": "<string>",
  "previous_response_id": "<string>",
  "store": true,
  "usage": {
    "input_tokens": 123,
    "input_tokens_details": {
      "cached_tokens": 123
    },
    "output_tokens": 123,
    "output_tokens_details": {
      "reasoning_tokens": 123
    },
    "total_tokens": 123
  },
  "metadata": {}
}

{
  "status": "FAILED",
  "message": "\"prompt\" cannot be empty.",
  "data": {}
}

{
  "status": "FAILED",
  "message": "Wrong TT-API-KEY or email is not activated."
}