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()