gpt4free/g4f/Provider/RubiksAI.py

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
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({'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', '')
                            if content:
                                yield content

                if web_search and sources:
                    sources_text = '\n'.join([f"{i+1}. [{s['title']}]: {s['url']}" for i, s in enumerate(sources)])
                    yield f"\n\n**Source:**\n{sources_text}"