mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-11-10 19:11:01 +00:00
72 lines
2.5 KiB
Python
72 lines
2.5 KiB
Python
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",
|
|
"origin": cls.url,
|
|
"referer": f"{cls.url}/en",
|
|
"sec-ch-ua": '"Chromium";v="127", "Not)A;Brand";v="99"',
|
|
"sec-ch-ua-arch": '"x86"',
|
|
"sec-ch-ua-bitness": '"64"',
|
|
"sec-ch-ua-full-version": '"127.0.6533.119"',
|
|
"sec-ch-ua-full-version-list": '"Chromium";v="127.0.6533.119", "Not)A;Brand";v="99.0.0.0"',
|
|
"sec-ch-ua-mobile": "?0",
|
|
"sec-ch-ua-model": '""',
|
|
"sec-ch-ua-platform": '"Linux"',
|
|
"sec-ch-ua-platform-version": '"4.19.276"',
|
|
"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/127.0.0.0 Safari/537.36",
|
|
}
|
|
async with ClientSession(headers=headers) as session:
|
|
data = {
|
|
"model": {
|
|
"id": model,
|
|
"name": "GPT-3.5",
|
|
"maxLength": 3000,
|
|
"tokenLimit": 2048
|
|
},
|
|
"messages": [{"role": "user", "content": format_prompt(messages)}],
|
|
"key": "",
|
|
"prompt": "You are a helpful assistant.",
|
|
"temperature": 1
|
|
}
|
|
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()
|