instructions for running reviews with llama

[ewhittakerwalker]

import os
import requests
import base64
from io import BytesIO
from PIL import Image

OPENROUTER_API_KEY = os.getenv('OPENROUTER_API_KEY')
OPENROUTER_API_BASE = os.getenv('OPENROUTER_API_BASE', 'https://openrouter.ai/api/v1')

MODELS = [
'meta-llama/llama-4-maverick',
'meta-llama/llama-4-scout'
]

Create a simple black square PNG in memory

img = Image.new('RGB', (128, 128), color='black')
buf = BytesIO()
img.save(buf, format='PNG')
image_bytes = buf.getvalue()
image_b64 = base64.b64encode(image_bytes).decode('utf-8')

prompt = 'What is in this image?'

for model in MODELS:
print(f'\nTesting model: {model}')
url = f"{OPENROUTER_API_BASE}/chat/completions"
headers = {
"Authorization": f"Bearer {OPENROUTER_API_KEY}",
"Content-Type": "application/json"
}
data = {
"model": model,
"messages": [
{
"role": "user",
"content": [
{"type": "text", "text": prompt},
{"type": "image_url", "image_url": f"data:image/png;base64,{image_b64}"}
]
}
],
"max_tokens": 128,
"temperature": 0.2
}
try:
response = requests.post(url, headers=headers, json=data)
response.raise_for_status()
result = response.json()
print('Response:', result['choices'][0]['message']['content'])
except Exception as e:
print('Error:', e)