Images Inputs

How to send images and PDFs to Infron AI

Infron AI supports sending images via the API. This guide will show you how to work with images file types using our API.

Image Inputs

Requests with images, to multimodel models, are available via the/v1/chat/completionsAPI with a multi-part messages parameter. The image_url can either be a URL or a base64-encoded image.

Note that multiple images can be sent in separate content array entries. The number of images you can send in a single request varies per provider and per model. Due to how the content is parsed, we recommend sending the text prompt first, then the images. If the images must come first, we recommend putting it in the system prompt.

Using Image URLs

Here's how to send an image using a URL:

Python

import requests
import json

url = "https://llm.onerouter.pro/v1/chat/completions"
headers = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
}

messages = [
    {
        "role": "user",
        "content": [
            {
                "type": "text",
                "text": "What's in this image?"
            },
            {
                "type": "image_url",
                "image_url": {
                    "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
                }
            }
        ]
    }
]

payload = {
    "model": "{{MODEL}}",
    "messages": messages
}

response = requests.post(url, headers=headers, json=payload)
print(response.json()["choices"][0]["message"]["content"])

TypeScript

Using Base64 Encoded Images

For locally stored images, you can send them using base64 encoding. Here's how to do it:

Python

import requests
import json
import base64
from pathlib import Path

def encode_image_to_base64(image_path):
    with open(image_path, "rb") as image_file:
        return base64.b64encode(image_file.read()).decode('utf-8')

url = "https://llm.onerouter.pro/v1/chat/completions"
headers = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
}

# Read and encode the image
image_path = "path/to/your/image.jpg"
base64_image = encode_image_to_base64(image_path)
data_url = f"data:image/jpeg;base64,{base64_image}"

messages = [
    {
        "role": "user",
        "content": [
            {
                "type": "text",
                "text": "What's in this image?"
            },
            {
                "type": "image_url",
                "image_url": {
                    "url": data_url
                }
            }
        ]
    }
]

payload = {
    "model": "{{MODEL}}",
    "messages": messages
}

response = requests.post(url, headers=headers, json=payload)
print(response.json()["choices"][0]["message"]["content"])

TypeScript

Supported image content types are:

• image/png

• image/jpeg

• image/webp