From 48e8cbfb6d3f15e3739b8ef22086e37afc0c870b Mon Sep 17 00:00:00 2001 From: kqlio67 Date: Thu, 17 Oct 2024 13:17:38 +0300 Subject: Added new provider (g4f/Provider/RubiksAI.py) --- g4f/Provider/RubiksAI.py | 163 +++++++++++++++++++++++++++++++++++++++++++++++ g4f/Provider/__init__.py | 1 + g4f/models.py | 5 +- 3 files changed, 167 insertions(+), 2 deletions(-) create mode 100644 g4f/Provider/RubiksAI.py diff --git a/g4f/Provider/RubiksAI.py b/g4f/Provider/RubiksAI.py new file mode 100644 index 00000000..184322c8 --- /dev/null +++ b/g4f/Provider/RubiksAI.py @@ -0,0 +1,163 @@ +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}" diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py index f3593476..9caa92d3 100644 --- a/g4f/Provider/__init__.py +++ b/g4f/Provider/__init__.py @@ -63,6 +63,7 @@ from .Prodia import Prodia from .Reka import Reka from .Replicate import Replicate from .ReplicateHome import ReplicateHome +from .RubiksAI import RubiksAI from .TeachAnything import TeachAnything from .Upstage import Upstage from .WhiteRabbitNeo import WhiteRabbitNeo diff --git a/g4f/models.py b/g4f/models.py index 149e60d7..1e80a924 100644 --- a/g4f/models.py +++ b/g4f/models.py @@ -58,6 +58,7 @@ from .Provider import ( Reka, Replicate, ReplicateHome, + RubiksAI, TeachAnything, Upstage, ) @@ -135,7 +136,7 @@ gpt_4o = Model( gpt_4o_mini = Model( name = 'gpt-4o-mini', base_provider = 'OpenAI', - best_provider = IterListProvider([DDG, ChatGptEs, FreeNetfly, Pizzagpt, MagickPen, AmigoChat, Liaobots, Airforce, ChatgptFree, Koala, OpenaiChat, ChatGpt]) + best_provider = IterListProvider([DDG, ChatGptEs, FreeNetfly, Pizzagpt, MagickPen, AmigoChat, RubiksAI, Liaobots, Airforce, ChatgptFree, Koala, OpenaiChat, ChatGpt]) ) gpt_4_turbo = Model( @@ -215,7 +216,7 @@ llama_3_1_8b = Model( llama_3_1_70b = Model( name = "llama-3.1-70b", base_provider = "Meta Llama", - best_provider = IterListProvider([DDG, HuggingChat, Blackbox, FreeGpt, TeachAnything, Free2GPT, DeepInfraChat, DarkAI, Airforce, AiMathGPT, HuggingFace, PerplexityLabs]) + best_provider = IterListProvider([DDG, HuggingChat, Blackbox, FreeGpt, TeachAnything, Free2GPT, DeepInfraChat, DarkAI, Airforce, AiMathGPT, RubiksAI, HuggingFace, PerplexityLabs]) ) llama_3_1_405b = Model( -- cgit v1.2.3