g4f/Provider/Providers/Liaobots.py

import os
import uuid
import requests
from ...typing import sha256, Dict, get_type_hints

url = 'https://liaobots.com'
model = ['gpt-3.5-turbo', 'gpt-3.5-turbo-16k', 'gpt-4']
supports_stream = True
needs_auth = True
working = False

models = {
    'gpt-4': {
        "id": "gpt-4",
        "name": "GPT-4",
        "maxLength": 24000,
        "tokenLimit": 8000
    },
    'gpt-3.5-turbo': {
        "id": "gpt-3.5-turbo",
        "name": "GPT-3.5",
        "maxLength": 12000,
        "tokenLimit": 4000
    },
    'gpt-3.5-turbo-16k': {
        "id": "gpt-3.5-turbo-16k",
        "name": "GPT-3.5-16k",
        "maxLength": 48000,
        "tokenLimit": 16000
    },
}


def _create_completion(model: str, messages: list, stream: bool, chatId: str, **kwargs):

    print(kwargs)

    headers = {
        'authority': 'liaobots.com',
        'content-type': 'application/json',
        'origin': 'https://liaobots.com',
        'referer': 'https://liaobots.com/',
        'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
        'x-auth-code': 'qlcUMVn1KLMhd'
    }

    json_data = {
        'conversationId': chatId,
        'model': models[model],
        'messages': messages,
        'key': '',
        'prompt': "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully. Respond using markdown.",
    }

    response = requests.post('https://liaobots.com/api/chat',
                             headers=headers, json=json_data, stream=True)

    for token in response.iter_content(chunk_size=2046):
        yield (token.decode('utf-8'))


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]])