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from __future__ import annotations
import asyncio
import aiohttp
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
from .helper import format_prompt
class RubiksAI(AsyncGeneratorProvider, ProviderModelMixin):
label = "Rubiks AI"
url = "https://rubiks.ai"
api_endpoint = "https://rubiks.ai/search/api.php"
working = True
supports_gpt_4 = True
supports_stream = True
supports_system_message = True
supports_message_history = True
default_model = 'llama-3.1-70b-versatile'
models = [default_model, 'gpt-4o-mini']
model_aliases = {
"llama-3.1-70b": "llama-3.1-70b-versatile",
}
@classmethod
def get_model(cls, model: str) -> str:
if model in cls.models:
return model
elif model in cls.model_aliases:
return cls.model_aliases[model]
else:
return cls.default_model
@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,
websearch: bool = False,
**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.
- websearch (bool, optional): Indicates whether to include search sources in the response. Defaults to False.
"""
model = cls.get_model(model)
prompt = format_prompt(messages)
q_value = prompt
mid_value = cls.generate_mid()
referer = cls.create_referer(q=q_value, mid=mid_value, model=model)
url = cls.api_endpoint
params = {
'q': q_value,
'model': model,
'id': '',
'mid': mid_value
}
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"'
}
try:
timeout = aiohttp.ClientTimeout(total=None)
async with ClientSession(timeout=timeout) as session:
async with session.get(url, headers=headers, params=params, proxy=proxy) as response:
if response.status != 200:
yield f"Request ended with status code {response.status}"
return
assistant_text = ''
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 websearch:
sources.append({'title': json_data['title'], 'url': json_data['url']})
elif 'choices' in json_data:
for choice in json_data['choices']:
delta = choice.get('delta', {})
content = delta.get('content', '')
role = delta.get('role', '')
if role == 'assistant':
continue
assistant_text += content
if websearch and sources:
sources_text = '\n'.join([f"{i+1}. [{s['title']}]: {s['url']}" for i, s in enumerate(sources)])
assistant_text += f"\n\n**Source:**\n{sources_text}"
yield assistant_text
except asyncio.CancelledError:
yield "The request was cancelled."
except aiohttp.ClientError as e:
yield f"An error occurred during the request: {e}"
except Exception as e:
yield f"An unexpected error occurred: {e}"
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