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from __future__ import annotations
import json
from ..typing import AsyncGenerator
from ..requests import StreamSession
from .base_provider import AsyncGeneratorProvider, format_prompt
class AItianhu(AsyncGeneratorProvider):
url = "https://www.aitianhu.com"
working = True
supports_gpt_35_turbo = True
@classmethod
async def create_async_generator(
cls,
model: str,
messages: list[dict[str, str]],
proxy: str = None,
**kwargs
) -> AsyncGenerator:
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": cls.url,
"Accept": "application/json, text/plain, */*",
"Origin": cls.url,
"Referer": f"{cls.url}/"
}
async with StreamSession(headers=headers, proxies={"https": proxy}, impersonate="chrome107", verify=False) as session:
async with session.post(f"{cls.url}/api/chat-process", json=data) as response:
response.raise_for_status()
async for line in response.iter_lines():
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
else:
raise RuntimeError(f"Response: {line}")
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
("proxy", "str"),
("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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