from __future__ import annotations
from aiohttp import ClientSession
from ...typing import AsyncResult, Messages
from ..base_provider import AsyncGeneratorProvider
from ..helper import format_prompt
import random
class Aichatos(AsyncGeneratorProvider):
url = "https://chat10.aichatos.xyz"
api = "https://api.binjie.fun"
working = False
supports_gpt_35_turbo = True
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
**kwargs
) -> AsyncResult:
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36",
"Accept": "application/json, text/plain, */*",
"Accept-Language": "en-US,en;q=0.5",
"Accept-Encoding": "gzip, deflate, br",
"Content-Type": "application/json",
"Origin": "https://chat10.aichatos.xyz",
"DNT": "1",
"Sec-GPC": "1",
"Connection": "keep-alive",
"Sec-Fetch-Dest": "empty",
"Sec-Fetch-Mode": "cors",
"Sec-Fetch-Site": "cross-site",
"TE": "trailers",
}
async with ClientSession(headers=headers) as session:
prompt = format_prompt(messages)
userId = random.randint(1000000000000, 9999999999999)
system_message: str = "",
data = {
"prompt": prompt,
"userId": "#/chat/{userId}",
"network": True,
"system": system_message,
"withoutContext": False,
"stream": True,
}
async with session.post(f"{cls.api}/api/generateStream", json=data, proxy=proxy) as response:
response.raise_for_status()
async for chunk in response.content:
if chunk:
yield chunk.decode()
