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Vision models

Vision completions enable the processing of images alongside text, allowing for a wide range of applications such as image description, object recognition, and data extraction from visual content. By sending a combination of text prompts and image URLs, the model can provide insightful responses based on the visual input.

Vision Completions

You can provide images in two ways:

  • Remote URL: Supply a publicly accessible URL pointing to the image.
  • Base64 Encoding: Encode the image in base64 format and pass it in the image_url field.
import regolo

regolo.default_key = "YOUR_REGOLO_KEY"
regolo.default_model = "Qwen2.5-VL-32B-Instruct"

print(regolo.static_chat_completions(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/de/Colosseo_2020.jpg/960px-Colosseo_2020.jpg"},
            "format": "image/jpeg"
        }
    ]
}]))

import requests

url = "https://api.regolo.ai/v1/chat/completions"
payload = {
    "model": "Qwen2.5-VL-32B-Instruct",
    "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/de/Colosseo_2020.jpg/960px-Colosseo_2020.jpg"},
                    "format": "image/jpeg"
                }
            ]
        }
    ]
}
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer YOUR_REGOLO_KEY"
}

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

curl -X POST https://api.regolo.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_REGOLO_KEY" \
-d '{
    "model": "Qwen2.5-VL-32B-Instruct",
    "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/de/Colosseo_2020.jpg/960px-Colosseo_2020.jpg"},
                    "format": "image/jpeg"
                }
            ]
        }
    ]
}'