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-rw-r--r--g4f/Provider/RubiksAI.py163
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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}"