GPT-6 Luna

import os
from openai import OpenAI
 
client = OpenAI(base_url="https://api.ofox.ai/v1", api_key=os.environ["OFOX_API_KEY"])
 
r = client.decisions.create(
    model="openai/gpt-6-luna",
    input="Customer message: I was charged twice and need a refund today.",
    questions=[
        {"type": "predicate", "name": "refund", "instructions": "Is the customer asking for a refund?"},
        {
            "type": "choice",
            "name": "team",
            "instructions": "Which team should handle this ticket?",
            "choices": [
                {"value": "billing", "description": "Charges, invoices, refunds"},
                {"value": "technical", "description": "Outages, errors, integration issues"},
                {"value": "other", "description": "None of the above"},
            ],
        },
    ],
)
refund, team = r.answers
print(refund.probability, team.choice, team.confidence)

1.0 billing 1.0

import base64
import os
from openai import OpenAI
 
client = OpenAI(base_url="https://api.ofox.ai/v1", api_key=os.environ["OFOX_API_KEY"])
 
with open("product.jpg", "rb") as f:
    image = "data:image/jpeg;base64," + base64.b64encode(f.read()).decode()
 
r = client.decisions.create(
    model="openai/gpt-6-luna",
    input=[{
        "role": "user",
        "content": [
            {"type": "input_text", "text": "Product image uploaded by a user"},
            {"type": "input_image", "image_url": image},
        ],
    }],
    questions=[
        {"type": "predicate", "name": "has_text", "instructions": "Does the image contain any text?"},
        {
            "type": "choice",
            "name": "shape",
            "instructions": "What shape is on the left side of the image?",
            "choices": [{"value": "circle"}, {"value": "square"}, {"value": "triangle"}, {"value": "other"}],
        },
    ],
)
for a in r.answers:
    print(a.name, getattr(a, "probability", None) or a.choice)
print(r.usage.prompt_tokens)

has_text 1.0
shape circle
538