{
  "models": [
    {
      "title": "GPT-6 Luna (Thinking)",
      "provider": "openai",
      "model": "gpt-6-luna-thinking",
      "apiBase": "https://api.ragepvp.us/v1",
      "apiKey": "sk-luna-YOUR-KEY-HERE"
    }
  ]
}

from openai import OpenAI

client = OpenAI(
    base_url="https://api.ragepvp.us/v1",
    api_key="sk-luna-YOUR-KEY-HERE"
)

response = client.chat.completions.create(
    model="gpt-6-luna-thinking",
    messages=[{"role": "user", "content": "Hello Luna!"}],
    stream=True
)

for chunk in response:
    content = chunk.choices[0].delta.content or ""
    print(content, end="", flush=True)

curl -X POST https://api.ragepvp.us/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-luna-YOUR-KEY-HERE" \
  -d '{
    "model": "gpt-6-luna-thinking",
    "messages": [{"role": "user", "content": "Explain quantum entanglement in 2 sentences"}],
    "stream": true
  }'

import OpenAI from "openai";

const openai = new OpenAI({
  baseURL: "https://api.ragepvp.us/v1",
  apiKey: "sk-luna-YOUR-KEY-HERE",
});

const stream = await openai.chat.completions.create({
  model: "gpt-6-luna-thinking",
  messages: [{ role: "user", content: "Say hello!" }],
  stream: true,
});

for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content || "");
}

curl -X POST https://api.ragepvp.us/v1/images/generate \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-luna-YOUR-KEY-HERE" \
  -d '{
    "prompt": "A crystal dragon perched atop a neon skyscraper, 8k digital art",
    "n": 1,
    "size": "1024x1024"
  }'

from openai import OpenAI

client = OpenAI(
    base_url="https://api.ragepvp.us/v1",
    api_key="sk-luna-YOUR-KEY-HERE"
)

response = client.images.generate(
    prompt="A crystal dragon perched atop a neon skyscraper, 8k digital art",
    n=1,
    size="1024x1024"
)

image_url = response.data[0].url
print("Generated image URL:", image_url)

curl -X POST https://api.ragepvp.us/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-luna-YOUR-KEY-HERE" \
  -d '{
    "model": "gpt-6-luna",
    "messages": [
      {
        "role": "user",
        "content": [
          { "type": "text", "text": "What is depicted in this image?" },
          {
            "type": "image_url",
            "image_url": {
              "url": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8BQDwAEhQGAhKmMIQAAAABJRU5ErkJggg=="
            }
          }
        ]
      }
    ]
  }'

import base64
from openai import OpenAI

client = OpenAI(
    base_url="https://api.ragepvp.us/v1",
    api_key="sk-luna-YOUR-KEY-HERE"
)

# Encode local image to base64
with open("screenshot.png", "rb") as f:
    base64_image = base64.b64encode(f.read()).decode("utf-8")

response = client.chat.completions.create(
    model="gpt-6-luna",
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "Analyze this interface and suggest improvements:"},
                {
                    "type": "image_url",
                    "image_url": {"url": f"data:image/png;base64,{base64_image}"}
                }
            ]
        }
    ]
)

print(response.choices[0].message.content)

import OpenAI from 'openai';
import fs from 'fs';

const client = new OpenAI({
  baseURL: 'https://api.ragepvp.us/v1',
  apiKey: 'sk-luna-YOUR-KEY-HERE',
});

const imageBase64 = fs.readFileSync('diagram.png').toString('base64');

const response = await client.chat.completions.create({
  model: 'gpt-6-luna',
  messages: [
    {
      role: 'user',
      content: [
        { type: 'text', text: 'Explain this diagram step-by-step:' },
        {
          type: 'image_url',
          image_url: { url: `data:image/png;base64,${imageBase64}` }
        }
      ]
    }
  ]
});

console.log(response.choices[0].message.content);