curl --request POST \
  --url https://api.apimart.ai/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gpt-5", # 지원되는 모든 모델 ID로 교체 가능
    "messages": [
      {
        "role": "system",
        "content": "You are a professional AI assistant."
      },
      {
        "role": "user",
        "content": "Tell me about the history of artificial intelligence."
      }
    ]
  }'

import requests

url = "https://api.apimart.ai/v1/chat/completions"

payload = {
    "model": "gpt-5",  # 지원되는 모든 모델 ID로 교체 가능
    "messages": [
        {
            "role": "system",
            "content": "당신은 전문 AI 어시스턴트입니다."
        },
        {
            "role": "user",
            "content": "인공지능의 역사에 대해 알려주세요."
        }
    ]
}

headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.json())

const url = "https://api.apimart.ai/v1/chat/completions";

const payload = {
  model: "gpt-5",  // 지원되는 모든 모델 ID로 교체 가능
  messages: [
    {
      role: "system",
      content: "You are a professional AI assistant."
    },
    {
      role: "user",
      content: "Tell me about the history of artificial intelligence."
    }
  ]
};

const headers = {
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
};

fetch(url, {
  method: "POST",
  headers: headers,
  body: JSON.stringify(payload)
})
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error('Error:', error));

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io/ioutil"
    "net/http"
)

func main() {
    url := "https://api.apimart.ai/v1/chat/completions"

    payload := map[string]interface{}{
        "model": "gpt-5",  // 지원되는 모든 모델 ID로 교체 가능
        "messages": []map[string]string{
            {
                "role":    "system",
                "content": "당신은 전문 AI 어시스턴트입니다.",
            },
            {
                "role":    "user",
                "content": "인공지능의 역사에 대해 알려주세요.",
            },
        },
    }

    jsonData, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
    req.Header.Set("Authorization", "Bearer <token>")
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)
    fmt.Println(string(body))
}

import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;

public class Main {
    public static void main(String[] args) throws Exception {
        String url = "https://api.apimart.ai/v1/chat/completions";

        // 지원되는 모든 모델 ID로 교체 가능
        String payload = """
        {
          "model": "gpt-5",
          "messages": [
            {
              "role": "system",
              "content": "당신은 전문 AI 어시스턴트입니다."
            },
            {
              "role": "user",
              "content": "인공지능의 역사에 대해 알려주세요."
            }
          ]
        }
        """;

        HttpClient client = HttpClient.newHttpClient();
        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create(url))
            .header("Authorization", "Bearer <token>")
            .header("Content-Type", "application/json")
            .POST(HttpRequest.BodyPublishers.ofString(payload))
            .build();

        HttpResponse<String> response = client.send(request,
            HttpResponse.BodyHandlers.ofString());

        System.out.println(response.body());
    }
}

<?php

$url = "https://api.apimart.ai/v1/chat/completions";

// 지원되는 모든 모델 ID로 교체 가능
$payload = [
    "model" => "gpt-5",
    "messages" => [
        [
            "role" => "system",
            "content" => "You are a professional AI assistant."
        ],
        [
            "role" => "user",
            "content" => "Tell me about the history of artificial intelligence."
        ]
    ]
];

$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
curl_setopt($ch, CURLOPT_HTTPHEADER, [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
]);

$response = curl_exec($ch);
curl_close($ch);

echo $response;
?>

require 'net/http'
require 'json'
require 'uri'

url = URI("https://api.apimart.ai/v1/chat/completions")

# 지원되는 모든 모델 ID로 교체 가능
payload = {
  model: "gpt-5",
  messages: [
    {
      role: "system",
      content: "You are a professional AI assistant."
    },
    {
      role: "user",
      content: "Tell me about the history of artificial intelligence."
    }
  ]
}

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 = payload.to_json

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

import Foundation

let url = URL(string: "https://api.apimart.ai/v1/chat/completions")!

let payload: [String: Any] = [
    "model": "gpt-5",  // 지원되는 모든 모델 ID로 교체 가능
    "messages": [
        [
            "role": "system",
            "content": "당신은 전문 AI 어시스턴트입니다."
        ],
        [
            "role": "user",
            "content": "인공지능의 역사에 대해 알려주세요."
        ]
    ]
]

var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("Bearer <token>", forHTTPHeaderField: "Authorization")
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)

let task = URLSession.shared.dataTask(with: request) { data, response, error in
    if let error = error {
        print("Error: \(error)")
        return
    }

    if let data = data, let responseString = String(data: data, encoding: .utf8) {
        print(responseString)
    }
}

task.resume()

using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;

class Program
{
    static async Task Main(string[] args)
    {
        var url = "https://api.apimart.ai/v1/chat/completions";

        // 지원되는 모든 모델 ID로 교체 가능
        var payload = @"{
            ""model"": ""gpt-5"",
            ""messages"": [
                {
                    ""role"": ""system"",
                    ""content"": ""You are a professional AI assistant.""
                },
                {
                    ""role"": ""user"",
                    ""content"": ""Tell me about the history of artificial intelligence.""
                }
            ]
        }";

        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("Authorization", "Bearer <token>");

        var content = new StringContent(payload, Encoding.UTF8, "application/json");
        var response = await client.PostAsync(url, content);
        var result = await response.Content.ReadAsStringAsync();

        Console.WriteLine(result);
    }
}

#include <stdio.h>
#include <curl/curl.h>

int main(void) {
    CURL *curl;
    CURLcode res;

    curl_global_init(CURL_GLOBAL_DEFAULT);
    curl = curl_easy_init();

    if(curl) {
        const char *url = "https://api.apimart.ai/v1/chat/completions";
        //  지원되는 모든 모델 ID로 교체 가능
        const char *payload = "{"
            "\"model\":\"gpt-5\","
            "\"messages\":[{\"role\":\"system\",\"content\":\"You are a professional AI assistant.\"},{\"role\":\"user\",\"content\":\"Tell me about the history of artificial intelligence.\"}]"
        "}";

        struct curl_slist *headers = NULL;
        headers = curl_slist_append(headers, "Authorization: Bearer <token>");
        headers = curl_slist_append(headers, "Content-Type: application/json");

        curl_easy_setopt(curl, CURLOPT_URL, url);
        curl_easy_setopt(curl, CURLOPT_POSTFIELDS, payload);
        curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);

        res = curl_easy_perform(curl);

        if(res != CURLE_OK) {
            fprintf(stderr, "curl_easy_perform() failed: %s\n",
                    curl_easy_strerror(res));
        }

        curl_slist_free_all(headers);
        curl_easy_cleanup(curl);
    }

    curl_global_cleanup();
    return 0;
}

#import <Foundation/Foundation.h>

int main(int argc, const char * argv[]) {
    @autoreleasepool {
        NSURL *url = [NSURL URLWithString:@"https://api.apimart.ai/v1/chat/completions"];

        NSDictionary *payload = @{
            @"model": @"gpt-5",  // 지원되는 모든 모델 ID로 교체 가능
            @"messages": @[
                @{
                    @"role": @"system",
                    @"content": @"You are a professional AI assistant."
                },
                @{
                    @"role": @"user",
                    @"content": @"Tell me about the history of artificial intelligence."
                }
            ]
        };

        NSError *error;
        NSData *jsonData = [NSJSONSerialization dataWithJSONObject:payload
                                                          options:0
                                                            error:&error];

        NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
        [request setHTTPMethod:@"POST"];
        [request setValue:@"Bearer <token>" forHTTPHeaderField:@"Authorization"];
        [request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
        [request setHTTPBody:jsonData];

        NSURLSessionDataTask *task = [[NSURLSession sharedSession]
            dataTaskWithRequest:request
            completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
                if (error) {
                    NSLog(@"Error: %@", error);
                    return;
                }
                NSString *result = [[NSString alloc] initWithData:data
                                                        encoding:NSUTF8StringEncoding];
                NSLog(@"%@", result);
            }];

        [task resume];
        [[NSRunLoop mainRunLoop] run];
    }
    return 0;
}

(* Requires cohttp and yojson libraries *)
open Lwt
open Cohttp
open Cohttp_lwt_unix

let url = "https://api.apimart.ai/v1/chat/completions"

(* 지원되는 모든 모델 ID로 교체 가능 *)
let payload = {|{
  "model": "gpt-5",
  "messages": [
    {
      "role": "system",
      "content": "You are a professional AI assistant."
    },
    {
      "role": "user",
      "content": "Tell me about the history of artificial intelligence."
    }
  ]
}|}

let () =
  let headers = Header.init ()
    |> fun h -> Header.add h "Authorization" "Bearer <token>"
    |> fun h -> Header.add h "Content-Type" "application/json"
  in
  let body = Cohttp_lwt.Body.of_string payload in

  let response = Client.post ~headers ~body (Uri.of_string url) >>= fun (resp, body) ->
    body |> Cohttp_lwt.Body.to_string >|= fun body_str ->
    print_endline body_str
  in
  Lwt_main.run response

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

void main() async {
  final url = Uri.parse('https://api.apimart.ai/v1/chat/completions');

  // 지원되는 모든 모델 ID로 교체 가능
  final payload = {
    'model': 'gpt-5',
    'messages': [
      {
        'role': 'system',
        'content': 'You are a professional AI assistant.'
      },
      {
        'role': 'user',
        'content': 'Tell me about the history of artificial intelligence.'
      }
    ]
  };

  final response = await http.post(
    url,
    headers: {
      'Authorization': 'Bearer <token>',
      'Content-Type': 'application/json',
    },
    body: jsonEncode(payload),
  );

  print(response.body);
}

library(httr)
library(jsonlite)

url <- "https://api.apimart.ai/v1/chat/completions"

# 지원되는 모든 모델 ID로 교체 가능
payload <- list(
  model = "gpt-5",
  messages = list(
    list(
      role = "system",
      content = "You are a professional AI assistant."
    ),
    list(
      role = "user",
      content = "Tell me about the history of artificial intelligence."
    )
  )
)

response <- POST(
  url,
  add_headers(
    Authorization = "Bearer <token>",
    `Content-Type` = "application/json"
  ),
  body = toJSON(payload, auto_unbox = TRUE),
  encode = "raw"
)

cat(content(response, "text"))

{
  "code": 200,
  "data": {
    "id": "chatcmpl-9876543210",
    "object": "chat.completion",
    "created": 1677652288,
    "model": "gpt-5",
    "choices": [
      {
        "index": 0,
        "message": {
          "role": "assistant",
          "content": "인공지능(AI)의 역사는 1950년대로 거슬러 올라갑니다...\n\n1. **초기 시대 (1950s-1960s)**: 튜링 테스트의 제안이 AI 연구의 시작을 알렸습니다...\n\n2. **전문가 시스템 시대 (1970s-1980s)**: 규칙 기반 시스템이 의료 진단, 금융 분석 등의 분야에 적용되기 시작했습니다...\n\n3. **머신러닝의 부상 (1990s-2000s)**: 통계적 학습 방법이 점차 주류가 되었습니다...\n\n4. **딥러닝 혁명 (2010s-현재)**: 신경망 기술의 돌파구가 AI의 폭발적인 성장을 가져왔습니다..."
        },
        "finish_reason": "stop"
      }
    ],
    "usage": {
      "prompt_tokens": 28,
      "completion_tokens": 320,
      "total_tokens": 348
    }
  }
}

{
  "error": {
    "code": 400,
    "message": "잘못된 요청 매개변수",
    "type": "invalid_request_error"
  }
}

{
  "error": {
    "code": 401,
    "message": "인증 실패, API 키를 확인해주세요",
    "type": "authentication_error"
  }
}

{
  "error": {
    "code": 402,
    "message": "계정 잔액 부족, 충전이 필요합니다",
    "type": "payment_required"
  }
}

{
  "error": {
    "code": 403,
    "message": "접근 금지, 이 리소스에 접근할 권한이 없습니다",
    "type": "permission_error"
  }
}

{
  "error": {
    "code": 429,
    "message": "요청이 너무 많습니다, 나중에 다시 시도해주세요",
    "type": "rate_limit_error"
  }
}

{
  "error": {
    "code": 500,
    "message": "내부 서버 오류, 나중에 다시 시도해주세요",
    "type": "server_error"
  }
}

{
  "error": {
    "code": 502,
    "message": "잘못된 게이트웨이, 서비스 일시적으로 사용 불가",
    "type": "bad_gateway"
  }
}