1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
|
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()
|