from __future__ import annotations
import random, json
from g4f.requests import AsyncSession, StreamRequest
from .base_provider import AsyncGeneratorProvider, format_prompt
domains = {
"gpt-3.5-turbo": ".aitianhu.space",
"gpt-4": ".aitianhu.website",
}
class AItianhuSpace(AsyncGeneratorProvider):
url = "https://chat3.aiyunos.top/"
working = True
supports_gpt_35_turbo = True
@classmethod
async def create_async_generator(
cls,
model: str,
messages: list[dict[str, str]],
stream: bool = True,
**kwargs
) -> str:
if not model:
model = "gpt-3.5-turbo"
elif not model in domains:
raise ValueError(f"Model are not supported: {model}")
chars = 'abcdefghijklmnopqrstuvwxyz0123456789'
rand = ''.join(random.choice(chars) for _ in range(6))
domain = domains[model]
url = f'https://{rand}{domain}/api/chat-process'
headers = {
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36",
}
async with AsyncSession(headers=headers, impersonate="chrome107", verify=False) as session:
data = {
"prompt": format_prompt(messages),
"options": {},
"systemMessage": "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully.",
"temperature": 0.8,
"top_p": 1,
**kwargs
}
async with StreamRequest(session, "POST", url, json=data) as response:
response.raise_for_status()
async for line in response.content:
line = json.loads(line.rstrip())
if "detail" in line:
content = line["detail"]["choices"][0]["delta"].get("content")
if content:
yield content
elif "message" in line and "AI-4接口非常昂贵" in line["message"]:
raise RuntimeError("Rate limit for GPT 4 reached")
else:
raise RuntimeError("Response: {line}")
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
("temperature", "float"),
("top_p", "int"),
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"
