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from __future__ import annotations
import uuid
from aiohttp import ClientSession
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider
models = {
"gpt-4": {
"id": "gpt-4",
"name": "GPT-4",
"maxLength": 24000,
"tokenLimit": 8000,
},
"gpt-3.5-turbo": {
"id": "gpt-3.5-turbo",
"name": "GPT-3.5",
"maxLength": 12000,
"tokenLimit": 4000,
},
"gpt-3.5-turbo-16k": {
"id": "gpt-3.5-turbo-16k",
"name": "GPT-3.5-16k",
"maxLength": 48000,
"tokenLimit": 16000,
},
}
class Liaobots(AsyncGeneratorProvider):
url = "https://liaobots.site"
working = True
supports_gpt_35_turbo = True
supports_gpt_4 = True
_auth_code = None
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
auth: str = None,
proxy: str = None,
**kwargs
) -> AsyncResult:
model = model if model in models else "gpt-3.5-turbo"
headers = {
"authority": "liaobots.com",
"content-type": "application/json",
"origin": cls.url,
"referer": cls.url + "/",
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36",
}
async with ClientSession(
headers=headers
) as session:
cls._auth_code = auth if isinstance(auth, str) else cls._auth_code
if not cls._auth_code:
async with session.post(
"https://liaobots.work/recaptcha/api/login",
proxy=proxy,
data={"token": "abcdefghijklmnopqrst"},
verify_ssl=False
) as response:
response.raise_for_status()
async with session.post(
"https://liaobots.work/api/user",
proxy=proxy,
json={"authcode": ""},
verify_ssl=False
) as response:
response.raise_for_status()
cls._auth_code = (await response.json(content_type=None))["authCode"]
data = {
"conversationId": str(uuid.uuid4()),
"model": models[model],
"messages": messages,
"key": "",
"prompt": "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully.",
}
async with session.post(
"https://liaobots.work/api/chat",
proxy=proxy,
json=data,
headers={"x-auth-code": cls._auth_code},
verify_ssl=False
) as response:
response.raise_for_status()
async for stream in response.content.iter_any():
if stream:
yield stream.decode()
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
("proxy", "str"),
("auth", "str"),
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"
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