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from __future__ import annotations
import time
import hashlib
from ..typing import AsyncResult, Messages
from ..requests import StreamSession
from .base_provider import AsyncGeneratorProvider
class Aibn(AsyncGeneratorProvider):
url = "https://aibn.cc"
supports_gpt_35_turbo = True
working = False
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
timeout: int = 120,
**kwargs
) -> AsyncResult:
async with StreamSession(
impersonate="chrome107",
proxies={"https": proxy},
timeout=timeout
) as session:
timestamp = int(time.time())
data = {
"messages": messages,
"pass": None,
"sign": generate_signature(timestamp, messages[-1]["content"]),
"time": timestamp
}
async with session.post(f"{cls.url}/api/generate", json=data) as response:
response.raise_for_status()
async for chunk in response.iter_content():
yield chunk.decode()
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
("temperature", "float"),
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"
def generate_signature(timestamp: int, message: str, secret: str = "undefined"):
data = f"{timestamp}:{message}:{secret}"
return hashlib.sha256(data.encode()).hexdigest()
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