from __future__ import annotations import json import requests from ..typing import Any, CreateResult from .base_provider import BaseProvider class AItianhu(BaseProvider): url = "https://www.aitianhu.com/" working = False supports_gpt_35_turbo = True @staticmethod def create_completion( model: str, messages: list[dict[str, str]], stream: bool, **kwargs: Any) -> CreateResult: base = "\n".join(f"{message['role']}: {message['content']}" for message in messages) base += "\nassistant: " headers = { "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36" } data: dict[str, Any] = { "prompt": base, "options": {}, "systemMessage": "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully. Respond using markdown.", "temperature": kwargs.get("temperature", 0.8), "top_p": kwargs.get("top_p", 1), } url = "https://www.aitianhu.com/api/chat-process" response = requests.post(url, headers=headers, json=data) response.raise_for_status() lines = response.text.strip().split("\n") res = json.loads(lines[-1]) yield res["text"] @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})"