from __future__ import annotations
from aiohttp import ClientSession
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
from .helper import format_prompt
class AI365VIP(AsyncGeneratorProvider, ProviderModelMixin):
url = "https://chat.ai365vip.com"
api_endpoint = "/api/chat"
working = True
supports_gpt_35_turbo = True
supports_gpt_4 = True
default_model = 'gpt-3.5-turbo'
models = [
'gpt-3.5-turbo',
'gpt-4o',
'claude-3-haiku-20240307',
]
model_aliases = {
"claude-3-haiku": "claude-3-haiku-20240307",
}
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
**kwargs
) -> AsyncResult:
headers = {
"accept": "*/*",
"accept-language": "en-US,en;q=0.9",
"content-type": "application/json",
"dnt": "1",
"origin": "https://chat.ai365vip.com",
"priority": "u=1, i",
"referer": "https://chat.ai365vip.com/en",
"sec-ch-ua": '"Not/A)Brand";v="8", "Chromium";v="126"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '"Linux"',
"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/126.0.0.0 Safari/537.36"
}
async with ClientSession(headers=headers) as session:
data = {
"model": {
"id": model,
"name": {
"gpt-3.5-turbo": "GPT-3.5",
"claude-3-haiku-20240307": "claude-3-haiku",
"gpt-4o": "GPT-4O"
}.get(model, model),
},
"messages": [{"role": "user", "content": format_prompt(messages)}],
"prompt": "You are a helpful assistant.",
}
async with session.post(f"{cls.url}{cls.api_endpoint}", json=data, proxy=proxy) as response:
response.raise_for_status()
async for chunk in response.content:
if chunk:
yield chunk.decode()
