Responses

curl --request POST \
  --url https://speshu.ai/api/v1/responses \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gpt-4o",
  "input": "<string>",
  "stream": false,
  "instructions": "<string>",
  "max_output_tokens": 123,
  "max_tool_calls": 123,
  "temperature": 123,
  "top_p": 123,
  "text": {},
  "tools": [
    {}
  ],
  "parallel_tool_calls": true,
  "reasoning": {
    "summary": "<string>",
    "max_tokens": 123
  },
  "previous_response_id": "<string>",
  "conversation": {},
  "include": [
    "<string>"
  ],
  "store": true,
  "metadata": {}
}
'

import requests

url = "https://speshu.ai/api/v1/responses"

payload = {
    "model": "gpt-4o",
    "input": "<string>",
    "stream": False,
    "instructions": "<string>",
    "max_output_tokens": 123,
    "max_tool_calls": 123,
    "temperature": 123,
    "top_p": 123,
    "text": {},
    "tools": [{}],
    "parallel_tool_calls": True,
    "reasoning": {
        "summary": "<string>",
        "max_tokens": 123
    },
    "previous_response_id": "<string>",
    "conversation": {},
    "include": ["<string>"],
    "store": True,
    "metadata": {}
}
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-4o',
    input: '<string>',
    stream: false,
    instructions: '<string>',
    max_output_tokens: 123,
    max_tool_calls: 123,
    temperature: 123,
    top_p: 123,
    text: {},
    tools: [{}],
    parallel_tool_calls: true,
    reasoning: {summary: '<string>', max_tokens: 123},
    previous_response_id: '<string>',
    conversation: {},
    include: ['<string>'],
    store: true,
    metadata: {}
  })
};

fetch('https://speshu.ai/api/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://speshu.ai/api/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-4o',
    'input' => '<string>',
    'stream' => false,
    'instructions' => '<string>',
    'max_output_tokens' => 123,
    'max_tool_calls' => 123,
    'temperature' => 123,
    'top_p' => 123,
    'text' => [
        
    ],
    'tools' => [
        [
                
        ]
    ],
    'parallel_tool_calls' => true,
    'reasoning' => [
        'summary' => '<string>',
        'max_tokens' => 123
    ],
    'previous_response_id' => '<string>',
    'conversation' => [
        
    ],
    'include' => [
        '<string>'
    ],
    'store' => true,
    'metadata' => [
        
    ]
  ]),
  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://speshu.ai/api/v1/responses"

	payload := strings.NewReader("{\n  \"model\": \"gpt-4o\",\n  \"input\": \"<string>\",\n  \"stream\": false,\n  \"instructions\": \"<string>\",\n  \"max_output_tokens\": 123,\n  \"max_tool_calls\": 123,\n  \"temperature\": 123,\n  \"top_p\": 123,\n  \"text\": {},\n  \"tools\": [\n    {}\n  ],\n  \"parallel_tool_calls\": true,\n  \"reasoning\": {\n    \"summary\": \"<string>\",\n    \"max_tokens\": 123\n  },\n  \"previous_response_id\": \"<string>\",\n  \"conversation\": {},\n  \"include\": [\n    \"<string>\"\n  ],\n  \"store\": true,\n  \"metadata\": {}\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://speshu.ai/api/v1/responses")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"gpt-4o\",\n  \"input\": \"<string>\",\n  \"stream\": false,\n  \"instructions\": \"<string>\",\n  \"max_output_tokens\": 123,\n  \"max_tool_calls\": 123,\n  \"temperature\": 123,\n  \"top_p\": 123,\n  \"text\": {},\n  \"tools\": [\n    {}\n  ],\n  \"parallel_tool_calls\": true,\n  \"reasoning\": {\n    \"summary\": \"<string>\",\n    \"max_tokens\": 123\n  },\n  \"previous_response_id\": \"<string>\",\n  \"conversation\": {},\n  \"include\": [\n    \"<string>\"\n  ],\n  \"store\": true,\n  \"metadata\": {}\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://speshu.ai/api/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-4o\",\n  \"input\": \"<string>\",\n  \"stream\": false,\n  \"instructions\": \"<string>\",\n  \"max_output_tokens\": 123,\n  \"max_tool_calls\": 123,\n  \"temperature\": 123,\n  \"top_p\": 123,\n  \"text\": {},\n  \"tools\": [\n    {}\n  ],\n  \"parallel_tool_calls\": true,\n  \"reasoning\": {\n    \"summary\": \"<string>\",\n    \"max_tokens\": 123\n  },\n  \"previous_response_id\": \"<string>\",\n  \"conversation\": {},\n  \"include\": [\n    \"<string>\"\n  ],\n  \"store\": true,\n  \"metadata\": {}\n}"

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

{
  "id": "<string>",
  "object": "response",
  "model": "<string>",
  "output": [
    {
      "id": "<string>",
      "type": "<string>",
      "status": "<string>",
      "role": "<string>",
      "content": [
        {}
      ]
    }
  ],
  "created_at": 123,
  "completed_at": 123,
  "status": "completed",
  "error": {},
  "usage": {
    "total_tokens": 123,
    "input_tokens": 123,
    "output_tokens": 123,
    "input_tokens_details": {
      "cached_tokens": 123,
      "text_tokens": 123,
      "image_tokens": 123
    },
    "output_tokens_details": {
      "reasoning_tokens": 123,
      "text_tokens": 123
    },
    "cost": {
      "input_cost": 123,
      "output_cost": 123,
      "total_cost": 123
    }
  }
}

{
  "error": {
    "message": "<string>",
    "type": "invalid_request_error",
    "param": "<string>",
    "code": "invalid_request"
  }
}

{
  "error": {
    "message": "<string>",
    "type": "invalid_request_error",
    "param": "<string>",
    "code": "invalid_request"
  }
}

{
  "error": {
    "message": "<string>",
    "type": "invalid_request_error",
    "param": "<string>",
    "code": "invalid_request"
  }
}

{
  "error": {
    "message": "<string>",
    "type": "invalid_request_error",
    "param": "<string>",
    "code": "invalid_request"
  }
}

{
  "error": {
    "message": "<string>",
    "type": "invalid_request_error",
    "param": "<string>",
    "code": "invalid_request"
  }
}

{
  "error": {
    "message": "<string>",
    "type": "invalid_request_error",
    "param": "<string>",
    "code": "invalid_request"
  }
}

{
  "error": {
    "message": "<string>",
    "type": "invalid_request_error",
    "param": "<string>",
    "code": "invalid_request"
  }
}