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import os
import time
import json
import uuid
import random
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'
supports_stream = True
needs_auth = False
working = True
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'],
'WI,2rU#_r:r~aF4aJ36[.Z(/8Rv93Rf',
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 getV():
crossref = requests.get("https://ai.ls"+ requests.get("https://ai.ls/?chat=1").text.split('crossorigin href="')[1].split('"')[0]).text.split('G4="')[1].split('"')[0]
return crossref
def _create_completion(model: str, messages: list, stream: bool = False, temperature: float = 0.6, **kwargs):
headers = {
'authority': 'api.caipacity.com',
'accept': '*/*',
'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
'authorization': 'Bearer free',
'client-id': str(uuid.uuid4()),
'client-v': Utils.getV(),
'content-type': 'application/json',
'origin': 'https://ai.ls',
'referer': 'https://ai.ls/',
'sec-ch-ua': '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"Windows"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'cross-site',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36',
}
params = {
'full': 'false',
}
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',
headers=headers, data=json_data, stream=True)
for token in response.iter_lines():
if b'content' in token:
completion_chunk = json.loads(token.decode().replace('data: ', ''))
token = completion_chunk['choices'][0]['delta'].get('content')
if token != None:
yield token
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]])
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