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-rw-r--r--g4f/Provider/AI365VIP.py71
1 files changed, 71 insertions, 0 deletions
diff --git a/g4f/Provider/AI365VIP.py b/g4f/Provider/AI365VIP.py
new file mode 100644
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+++ b/g4f/Provider/AI365VIP.py
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+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()