ورودی تصویر (Vision)

curl https://gisoo.pro/api/v1/chat/completions \
  -H "Authorization: Bearer $GISOO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4.1-mini",
    "messages": [{
      "role": "user",
      "content": [
        {"type": "text", "text": "What is written on this receipt? List items and the total."},
        {"type": "image_url", "image_url": {"url": "https://example.com/receipt.jpg"}}
      ]
    }],
    "max_tokens": 500
  }'

import base64

with open("receipt.jpg", "rb") as f:
    b64 = base64.b64encode(f.read()).decode()

reply = client.chat.completions.create(
    model="gpt-4.1-mini",
    max_tokens=500,
    messages=[{
        "role": "user",
        "content": [
            {"type": "text", "text": "What is written on this receipt? List items and the total."},
            {"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{b64}", "detail": "high"}},
        ],
    }],
)
print(reply.choices[0].message.content)

import fs from "node:fs";

const b64 = fs.readFileSync("receipt.jpg").toString("base64");

const reply = await client.chat.completions.create({
  model: "gpt-4.1-mini",
  max_tokens: 500,
  messages: [{
    role: "user",
    content: [
      { type: "text", text: "What is written on this receipt? List items and the total." },
      { type: "image_url", image_url: { url: "data:image/jpeg;base64," + b64 } },
    ],
  }],
});
console.log(reply.choices[0].message.content);

<?php
$b64 = base64_encode(file_get_contents('receipt.jpg'));

$reply = $client->chat()->create([
    'model' => 'gpt-4.1-mini',
    'max_tokens' => 500,
    'messages' => [[
        'role' => 'user',
        'content' => [
            ['type' => 'text', 'text' => 'What is written on this receipt? List items and the total.'],
            ['type' => 'image_url', 'image_url' => ['url' => 'data:image/jpeg;base64,'.$b64]],
        ],
    ]],
]);
echo $reply->choices[0]->message->content;

reply = client.chat.completions.create(
    model="gpt-4.1-mini",
    messages=[{
        "role": "user",
        "content": [
            {"type": "text", "text": "Compare these two product photos. Which one is damaged?"},
            {"type": "image_url", "image_url": {"url": "https://example.com/before.jpg"}},
            {"type": "image_url", "image_url": {"url": "https://example.com/after.jpg"}},
        ],
    }],
)

# pip install pillow — shrink big photos before sending: fewer tokens, smaller request
from io import BytesIO
from PIL import Image

def to_data_url(path: str, max_side: int = 1536) -> str:
    img = Image.open(path).convert("RGB")
    img.thumbnail((max_side, max_side))
    buf = BytesIO()
    img.save(buf, format="JPEG", quality=85)
    return "data:image/jpeg;base64," + base64.b64encode(buf.getvalue()).decode()