Open in the interactive docs · markdown for agents: https://neuraldeep.tech/docs/vision.md

Image recognition · Vision

Multimodal via the standard /v1/chat/completions. Pass image_url in the content array (URL or base64). The model describes the image, extracts text, and answers questions about it.

curl https://api.neuraldeep.tech/v1/chat/completions \
  -H "Authorization: Bearer $YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.6-35b-a3b",
    "messages": [{
      "role": "user",
      "content": [
        {"type":"text","text":"What's in the image? Extract the text if there is any."},
        {"type":"image_url","image_url":{"url":"data:image/jpeg;base64,/9j/..."}}
      ]
    }],
    "max_tokens": 500
  }'

import base64
from openai import OpenAI

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

client = OpenAI(api_key="$YOUR_KEY", base_url="https://api.neuraldeep.tech/v1")
r = client.chat.completions.create(
    model="qwen3.6-35b-a3b",
    messages=[{
        "role":"user",
        "content":[
            {"type":"text","text":"Briefly describe what's in the photo"},
            {"type":"image_url","image_url":{"url":f"data:image/jpeg;base64,{b64}"}},
        ],
    }],
    max_tokens=400,
)
print(r.choices[0].message.content)

Limit — 1 image per request. If you need several — make N sequential requests and stitch the answers together in your own code.

Reference sections (markdown for agents)