MULAI

Pendahuluan

API MiniToolAI menyediakan antarmuka sederhana ke model AI canggih untuk pemrosesan bahasa alami, pembuatan gambar, teks ke suara. Ikuti panduan ini untuk belajar bagaimana menghasilkan respons seperti manusia (ChatGPT), dan membuat gambar dari deskripsi teks.

Buat kunci API

sk-*************   Masuk untuk membuat kunci API

Isi saldo

Biaya permintaan API akan dipotong dari saldo kredit Anda.

Isi saldo

Otorisasi

Kunci API harus disertakan dalam header untuk setiap permintaan API.

Header: "Authorization: Bearer API_key"

 

 

 

 

ChatGPT API

Membuat respons model untuk percakapan yang diberikan.

Python PHP
import requests
import json
API_Url = "https://minitoolai.com/api/chat-completions/"
API_Key = "MiniToolAI_API_Key"
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_Key}"
}
data = {
    "model": "gpt-4o-mini", #gpt-4o, gpt-4.1, gpt-4.1-mini, gpt-4.1-nano
    "messages": [
		{"role": "developer", "content": "You are a helpful assistant."},
		{"role": "user", "content": "Hello"},
		{"role": "assistant", "content": "How can I help you today?"},
		{"role": "user", "content": "What's the largest U.S. state by area?"}
    ],
	"temperature": 1.0,
	"max_completion_tokens": 1000
}

response = requests.post(API_Url, headers=headers, json=data, stream=True)

#single result
print(response.text) 

#streamed
for line in response.iter_lines():
    if line:
        decode_line = line.decode('utf-8')
        print(decode_line)
<?php

$api_url = "https://minitoolai.com/api/chat-completions/";
$api_key = "MiniToolAI_API_Key"; 

$data = [
    "model" => "gpt-4o-mini", //gpt-4o, gpt-4.1, gpt-4.1-mini, gpt-4.1-nano
    "messages" => [
        ["role" => "developer", "content" => "You are a helpful assistant."],
        ["role" => "user", "content" => "Hello"],
        ["role" => "assistant", "content" => "How can I help you today?"],
        ["role" => "user", "content" => "What's the largest U.S. state by area?"],
    ],
    "temperature" => 1.0,
    "max_completion_tokens" => 1000
];

$headers = [
    "Content-Type: application/json",
    "Authorization: Bearer $api_key"
];

$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, $api_url);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, false); 
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));

// streamed
curl_setopt($ch, CURLOPT_WRITEFUNCTION, function($ch, $data) {
    echo $data;
    ob_flush(); 
    flush();     
    return strlen($data); 
});

$response = curl_exec($ch);

if (curl_errno($ch)) {
    echo "cURL error: " . curl_error($ch);
} 

curl_close($ch);

?>
#data with image input
data = {
    "model": "gpt-4o-mini", #gpt-4o
    "messages": [
        {"role": "developer", "content": "You are a helpful assistant."},
        {
            "role": "user", 
            "content": [
                {"type": "text", "text": "What's in this image?"},
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://example.com/image.jpg", #jpg, jpeg, png, webp or gif
                        "detail": "auto" #auto, high or low
                    }
                }
            ]
        }

    ],
    "temperature": 0.7,
    "max_completion_tokens": 300
}
//data with image input
$data = [
    "model" => "gpt-4o-mini", // gpt-4o
    "messages" => [
        ["role" => "developer", "content" => "You are a helpful assistant."],
        [
            "role" => "user",
            "content" => [
                [
                    "type" => "text",
                    "text" => "What's in this image?"
                ],
                [
                    "type" => "image_url",
                    "image_url" => [
                        "url" => "https://example.com/image.jpg", // jpg, jpeg, png, webp or gif
                        "detail" => "auto" // auto, high or low
                    ]
                ]
            ]
        ]
    ],
    "temperature" => 0.7,
    "max_completion_tokens" => 300
];

Badan permintaan

messages array Wajib

Daftar pesan yang terdiri dari percakapan sejauh ini.

  • Developer message: Instruksi yang diberikan oleh pengembang yang harus diikuti oleh model, terlepas dari pesan yang dikirim oleh pengguna.
  • User message: Pesan yang dikirim oleh pengguna akhir, berisi perintah atau informasi konteks tambahan.
  • Assistant message: Pesan yang dikirim oleh model sebagai respons terhadap pesan pengguna.

model string Wajib

ID model yang akan digunakan

Model yang tersedia: gpt-4o, gpt-4o-mini, gpt-4.1, gpt-4.1-mini, gpt-4.1-nano

temperature angka atau null Opsional

Bawaan 1

Temperatur sampling yang digunakan, antara 0.0 dan 2.0. Nilai yang lebih tinggi seperti 0.8 akan membuat output lebih kreatif, sedangkan nilai lebih rendah seperti 0.2 akan membuatnya lebih fokus dan deterministik.

max_completion_tokens integer atau null Opsional

Bawaan 1000

Batas atas jumlah token yang dapat dihasilkan dalam satu respons

Respons

data: {"id":"chatcmpl-B5qoZsT8kFDNJK3UyGLiJmjv6Pp90","object":"chat.completion.chunk","created":1740734359,"model":"gpt-4o-mini-2024-07-18","service_tier":"default","system_fingerprint":"fp_06737a9306","choices":[{"index":0,"delta":{"content":"Ok"},"logprobs":null,"finish_reason":null}],"usage":null}

data: {"id":"chatcmpl-B5qoZsT8kFDNJK3UyGLiJmjv6Pp90","object":"chat.completion.chunk","created":1740734359,"model":"gpt-4o-mini-2024-07-18","service_tier":"default","system_fingerprint":"fp_06737a9306","choices":[{"index":0,"delta":{"content":"."},"logprobs":null,"finish_reason":null}],"usage":null}

data: {"id":"chatcmpl-B5qoZsT8kFDNJK3UyGLiJmjv6Pp90","object":"chat.completion.chunk","created":1740734359,"model":"gpt-4o-mini-2024-07-18","service_tier":"default","system_fingerprint":"fp_06737a9306","choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}],"usage":null}

data: {"id":"chatcmpl-B5qoZsT8kFDNJK3UyGLiJmjv6Pp90","object":"chat.completion.chunk","created":1740734359,"model":"gpt-4o-mini-2024-07-18","service_tier":"default","system_fingerprint":"fp_06737a9306","choices":[],"usage":{"prompt_tokens":17,"completion_tokens":3,"total_tokens":20,"prompt_tokens_details":{"cached_tokens":0,"audio_tokens":0},"completion_tokens_details":{"reasoning_tokens":0,"audio_tokens":0,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}}}

data: [DONE]

 

 

 

 

Teks ke Gambar

Membuat gambar berdasarkan perintah teks.

Python PHP
import requests
import json
url = "https://minitoolai.com/api/texttoimage/"
API_Key = "MiniToolAI_API_Key"
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_Key}"
}
data = {
    "model": "realvision",
    "prompt": "Ultra realistic portrait of a 20 year old woman, wearing an elegant black gown, joyful expression, deep shadows, cinematic composition, moody lighting",
    "negativePrompt": "unrealistic eyes, malformed features, ugly drawn",
    "scheduler": "DPM++ SDE",
    "steps": 4,
    "cfgScale": 2.0,
    "width": 1152,
    "height": 768
}
response = requests.post(url, json=data, headers=headers)
print(response.text)

'''
#response
Success:
{"status":"success","jobid":12345678,"signature":"abcxyz123"}
Error:
{"status":"error","jobid":null,"signature":null}
'''
<?php
// API URL and Key
$url = "https://minitoolai.com/api/texttoimage/";
$API_Key = "MiniToolAI_API_Key";

// Headers
$headers = [
    "Content-Type: application/json",
    "Authorization: Bearer $API_Key"
];

// Data to be sent in the request
$data = [
    "model" => "realvision",
    "prompt" => "Ultra realistic portrait of a 20 year old woman, wearing an elegant black gown, joyful expression, deep shadows, cinematic composition, moody lighting",
    "negativePrompt" => "unrealistic eyes, malformed features, ugly drawn",
    "scheduler" => "DPM++ SDE",
    "steps" => 4,
    "cfgScale" => 2.0,
    "width" => 1152,
    "height" => 768
];

// Initialize cURL session
$ch = curl_init();

// Set cURL options
curl_setopt($ch, CURLOPT_URL, $url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));

// Execute the cURL request
$response = curl_exec($ch);

echo $response;

// Close the cURL session
curl_close($ch);

/*
Response:
Success:
{"status":"success","jobid":12345678,"signature":"abcxyz123"}
Error:
{"status":"error","jobid":null,"signature":null}
*/
?>

Ambil Status dan Hasil Pekerjaan

curl -X POST https://minitoolai.com/api/texttoimage/jobs/ \
  -H "Content-Type: application/json" \
  -d '{
    "jobid": "12345678",
    "signature": "abcxyz123"
  }'

Respons

{
  "status": "success",
  "image_url": "https://...",
  "message": "success"
}

model string Wajib

ID model yang akan digunakan

Model yang tersedia: "realvision", "juggernaut", "autismmix", "dreamshaper", "valhalla", "mixrealistic", "campursari", "reality", "extrarealistic", "realism", "realgirls", "realityreborn", "amigo", "simplemix", "beautifulrealistic"

prompt string Wajib

Deskripsi gambar

negativePrompt string atau null Opsional

Deskripsi tentang apa yang ingin Anda kecualikan dari gambar yang dihasilkan

scheduler string atau null Opsional

Mengontrol bagaimana noise dihapus selama proses pembuatan gambar.

Bawaan "DPM++ SDE"

Nilai yang memungkinkan adalah: "Euler a", "Euler", "LMS", "Heun", "DPM2", "DPM2 a", "DPM++ 2S a", "DPM++ 2M", "DPM++ SDE", "DPM++ 2M SDE", "DPM fast", "LMS Karras", "DPM2 Karras", "DPM2 a Karras", "DPM++ 2S a Karras", "DPM++ 2M Karras", "DPM++ SDE Karras", "DPM++ 2M SDE Karras"

steps integer atau null Opsional

Jumlah langkah untuk proses pembuatan gambar, antara 1 dan 8.

Bawaan 4

cfgScale angka atau null Opsional

cfgScale Mengontrol seberapa banyak model harus mengikuti prompt teks yang diberikan. Menyeimbangkan antara kreativitas dan ketepatan, antara 1 dan 7.

Bawaan 2

cfgScale < 4 → gambar lebih kreatif, cfgScale > 4 → lebih sesuai dengan perintah, kurang kreatif

width/height integer atau null Opsional

Ukuran gambar yang dihasilkan, antara 256 hingga 1344.

Bawaan 1024

 

 

 

 

Harga API

Model GPT

Harga per 1M token

Model Input Output
gpt-4o-mini $0.15 $0.60
gpt-4o $2.50 $10.00
gpt-4.1 $2.00 $8.00
gpt-4.1-mini $0.40 $1.60
gpt-4.1-nano $0.10 $0.40

Pembuatan Gambar

Model Harga per gambar
Semua model $0.0015

 

 

 

 

Penggunaan API

Masuk untuk melihat penggunaan API

Pembuatan Teks

Pembuatan Gambar