from __future__ import annotations import json from aiohttp import ClientSession from ..typing import AsyncResult, Messages from .base_provider import AsyncGeneratorProvider from .helper import get_random_string class Koala(AsyncGeneratorProvider): url = "https://koala.sh" supports_gpt_35_turbo = True supports_message_history = True working = True @classmethod async def create_async_generator( cls, model: str, messages: Messages, proxy: str = None, **kwargs ) -> AsyncResult: if not model: model = "gpt-3.5-turbo" headers = { "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/119.0", "Accept": "text/event-stream", "Accept-Language": "de,en-US;q=0.7,en;q=0.3", "Accept-Encoding": "gzip, deflate, br", "Referer": f"{cls.url}/chat", "Content-Type": "application/json", "Flag-Real-Time-Data": "false", "Visitor-ID": get_random_string(20), "Origin": cls.url, "Alt-Used": "koala.sh", "Connection": "keep-alive", "Sec-Fetch-Dest": "empty", "Sec-Fetch-Mode": "cors", "Sec-Fetch-Site": "same-origin", "Pragma": "no-cache", "Cache-Control": "no-cache", "TE": "trailers", } async with ClientSession(headers=headers) as session: data = { "input": messages[-1]["content"], "inputHistory": [ message["content"] for message in messages if message["role"] == "user" ], "outputHistory": [ message["content"] for message in messages if message["role"] == "assistant" ], "model": model, } async with session.post(f"{cls.url}/api/gpt/", json=data, proxy=proxy) as response: response.raise_for_status() async for chunk in response.content: if chunk.startswith(b"data: "): yield json.loads(chunk[6:])