from __future__ import annotations
import json
from aiohttp import ClientSession
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
from .helper import get_random_string, format_prompt
class AiChatOnline(AsyncGeneratorProvider, ProviderModelMixin):
site_url = "https://aichatonline.org"
url = "https://aichatonlineorg.erweima.ai"
api_endpoint = "/aichatonline/api/chat/gpt"
working = True
supports_gpt_4 = True
default_model = 'gpt-4o-mini'
@classmethod
async def grab_token(
cls,
session: ClientSession,
proxy: str
):
async with session.get(f'https://aichatonlineorg.erweima.ai/api/v1/user/getUniqueId?canvas=-{get_random_string()}', proxy=proxy) as response:
response.raise_for_status()
return (await response.json())['data']
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
**kwargs
) -> AsyncResult:
headers = {
"User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/119.0",
"Accept-Language": "de,en-US;q=0.7,en;q=0.3",
"Accept-Encoding": "gzip, deflate, br",
"Referer": f"{cls.url}/chatgpt/chat/",
"Content-Type": "application/json",
"Origin": cls.url,
"Alt-Used": "aichatonline.org",
"Connection": "keep-alive",
"Sec-Fetch-Dest": "empty",
"Sec-Fetch-Mode": "cors",
"Sec-Fetch-Site": "same-origin",
"TE": "trailers"
}
async with ClientSession(headers=headers) as session:
data = {
"conversationId": get_random_string(),
"prompt": format_prompt(messages),
}
headers['UniqueId'] = await cls.grab_token(session, proxy)
async with session.post(f"{cls.url}{cls.api_endpoint}", headers=headers, json=data, proxy=proxy) as response:
response.raise_for_status()
async for chunk in response.content:
try:
yield json.loads(chunk)['data']['message']
except:
continue
