import os import time import json import uuid import hashlib import requests from ..typing import sha256, Dict, get_type_hints from datetime import datetime url: str = 'https://ai.ls' model: str = 'gpt-3.5-turbo' class Utils: def hash(json_data: Dict[str, str]) -> sha256: secretKey: bytearray = bytearray([79, 86, 98, 105, 91, 84, 80, 78, 123, 83, 35, 41, 99, 123, 51, 54, 37, 57, 63, 103, 59, 117, 115, 108, 41, 67, 76]) base_string: str = '%s:%s:%s:%s' % ( json_data['t'], json_data['m'], secretKey.decode(), len(json_data['m']) ) return hashlib.sha256(base_string.encode()).hexdigest() def format_timestamp(timestamp: int) -> str: e = timestamp n = e % 10 r = n + 1 if n % 2 == 0 else n return str(e - n + r) def _create_completion(model: str,messages: list, temperature: float = 0.6, stream: bool = False): headers = { 'authority': 'api.caipacity.com', 'authorization': f'Bearer free', 'client-id': str(uuid.uuid4()), 'content-type': 'application/json', 'origin': 'https://ai.ls', 'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36' } timestamp = Utils.format_timestamp(int(time.time() * 1000)) sig = { 'd': datetime.now().strftime('%Y-%m-%d'), 't': timestamp, 's': Utils.hash({ 't': timestamp, 'm': messages[-1]['content']})} json_data = json.dumps(separators=(',', ':'), obj={ 'model': 'gpt-3.5-turbo', 'temperature': temperature, 'stream': True, 'messages': messages} | sig) response = requests.post('https://api.caipacity.com/v1/chat/completions?full=false', headers=headers, data=json_data, stream=True) for token in response.iter_lines(): yield token.decode() params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \ '(%s)' % ', '.join([f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in _create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]])