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from __future__ import annotations
import random, json
from ..debug import logging
from ..typing import AsyncResult, Messages
from ..requests import StreamSession
from .base_provider import AsyncGeneratorProvider, format_prompt, get_cookies
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: Messages,
proxy: str = None,
domain: str = None,
cookies: dict = None,
timeout: int = 10, **kwargs) -> AsyncResult:
if not model:
model = "gpt-3.5-turbo"
elif not model in domains:
raise ValueError(f"Model are not supported: {model}")
if not domain:
chars = 'abcdefghijklmnopqrstuvwxyz0123456789'
rand = ''.join(random.choice(chars) for _ in range(6))
domain = f"{rand}.{domains[model]}"
if logging:
print(f"AItianhuSpace | using domain: {domain}")
if not cookies:
cookies = get_cookies('.aitianhu.space')
if not cookies:
raise RuntimeError(f"g4f.provider.{cls.__name__} requires cookies [refresh https://{domain} on chrome]")
url = f'https://{domain}'
async with StreamSession(proxies={"https": proxy},
cookies=cookies, timeout=timeout, impersonate="chrome110", 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
}
headers = {
"Authority": url,
"Accept": "application/json, text/plain, */*",
"Origin": url,
"Referer": f"{url}/"
}
async with session.post(f"{url}/api/chat-process", json=data, headers=headers) as response:
response.raise_for_status()
async for line in response.iter_lines():
if line == b"<script>":
raise RuntimeError("Solve challenge and pass cookies and a fixed domain")
if b"platform's risk control" in line:
raise RuntimeError("Platform's Risk Control")
line = json.loads(line)
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(f"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})"
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