from __future__ import annotations
import random
import string
import json
from urllib.parse import urlencode
from aiohttp import ClientSession
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin, Sources
from ..requests.raise_for_status import raise_for_status
class RubiksAI(AsyncGeneratorProvider, ProviderModelMixin):
label = "Rubiks AI"
url = "https://rubiks.ai"
api_endpoint = "https://rubiks.ai/search/api/"
working = True
supports_stream = True
supports_system_message = True
supports_message_history = True
default_model = 'gpt-4o-mini'
models = [default_model, 'gpt-4o', 'o1-mini', 'claude-3.5-sonnet', 'grok-beta', 'gemini-1.5-pro', 'nova-pro']
model_aliases = {
"llama-3.1-70b": "llama-3.1-70b-versatile",
}
@staticmethod
def generate_mid() -> str:
"""
Generates a 'mid' string following the pattern:
6 characters - 4 characters - 4 characters - 4 characters - 12 characters
Example: 0r7v7b-quw4-kdy3-rvdu-ekief6xbuuq4
"""
parts = [
''.join(random.choices(string.ascii_lowercase + string.digits, k=6)),
''.join(random.choices(string.ascii_lowercase + string.digits, k=4)),
''.join(random.choices(string.ascii_lowercase + string.digits, k=4)),
''.join(random.choices(string.ascii_lowercase + string.digits, k=4)),
''.join(random.choices(string.ascii_lowercase + string.digits, k=12))
]
return '-'.join(parts)
@staticmethod
def create_referer(q: str, mid: str, model: str = '') -> str:
"""
Creates a Referer URL with dynamic q and mid values, using urlencode for safe parameter encoding.
"""
params = {'q': q, 'model': model, 'mid': mid}
encoded_params = urlencode(params)
return f'https://rubiks.ai/search/?{encoded_params}'
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
web_search: bool = False,
temperature: float = 0.6,
**kwargs
) -> AsyncResult:
"""
Creates an asynchronous generator that sends requests to the Rubiks AI API and yields the response.
Parameters:
- model (str): The model to use in the request.
- messages (Messages): The messages to send as a prompt.
- proxy (str, optional): Proxy URL, if needed.
- web_search (bool, optional): Indicates whether to include search sources in the response. Defaults to False.
"""
model = cls.get_model(model)
mid_value = cls.generate_mid()
referer = cls.create_referer(q=messages[-1]["content"], mid=mid_value, model=model)
data = {
"messages": messages,
"model": model,
"search": web_search,
"stream": True,
"temperature": temperature
}
headers = {
'Accept': 'text/event-stream',
'Accept-Language': 'en-US,en;q=0.9',
'Cache-Control': 'no-cache',
'Connection': 'keep-alive',
'Pragma': 'no-cache',
'Referer': referer,
'Sec-Fetch-Dest': 'empty',
'Sec-Fetch-Mode': 'cors',
'Sec-Fetch-Site': 'same-origin',
'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36',
'sec-ch-ua': '"Chromium";v="129", "Not=A?Brand";v="8"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"Linux"'
}
async with ClientSession() as session:
async with session.post(cls.api_endpoint, headers=headers, json=data, proxy=proxy) as response:
await raise_for_status(response)
sources = []
async for line in response.content:
decoded_line = line.decode('utf-8').strip()
if not decoded_line.startswith('data: '):
continue
data = decoded_line[6:]
if data in ('[DONE]', '{"done": ""}'):
break
try:
json_data = json.loads(data)
except json.JSONDecodeError:
continue
if 'url' in json_data and 'title' in json_data:
if web_search:
sources.append(json_data)
elif 'choices' in json_data:
for choice in json_data['choices']:
delta = choice.get('delta', {})
content = delta.get('content', '')
if content:
yield content
if web_search and sources:
yield Sources(sources)
