from __future__ import annotations
from aiohttp import ClientSession
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider
class Aura(AsyncGeneratorProvider):
url = "https://openchat.team"
working = True
supports_gpt_35_turbo = True
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
**kwargs
) -> AsyncResult:
headers = {
"Accept": "*/*",
"Accept-Encoding": "gzip, deflate, br",
"Accept-Language": "en-GB,en-US;q=0.9,en;q=0.8",
"Content-Type": "application/json",
"Origin": f"{cls.url}",
"Referer": f"{cls.url}/",
"Sec-Ch-Ua": '"Not_A Brand";v="8", "Chromium";v="120", "Google Chrome";v="120"',
"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/120.0.0.0 Safari/537.36",
}
async with ClientSession(headers=headers) as session:
new_messages = []
system_message = []
for message in messages:
if message["role"] == "system":
system_message.append(message["content"])
else:
new_messages.append(message)
data = {
"model": {
"id": "openchat_v3.2_mistral",
"name": "OpenChat Aura",
"maxLength": 24576,
"tokenLimit": 8192
},
"messages": new_messages,
"key": "",
"prompt": "\n".join(system_message),
"temperature": 0.5
}
async with session.post(f"{cls.url}/api/chat", json=data, proxy=proxy) as response:
async for chunk in response.content.iter_any():
yield chunk.decode()
