from __future__ import annotations from aiohttp import ClientSession import json import random from .base_provider import AsyncGeneratorProvider, ProviderModelMixin from ..typing import AsyncResult, Messages from .helper import format_prompt class Bixin123(AsyncGeneratorProvider, ProviderModelMixin): url = "https://chat.bixin123.com" api_endpoint = "https://chat.bixin123.com/api/chatgpt/chat-process" working = True supports_gpt_35_turbo = True supports_gpt_4 = True default_model = 'gpt-3.5-turbo-0125' models = ['gpt-3.5-turbo', 'gpt-3.5-turbo-0125', 'gpt-3.5-turbo-16k-0613', 'gpt-4-turbo', 'qwen-turbo'] model_aliases = { "gpt-3.5-turbo": "gpt-3.5-turbo-0125", "gpt-3.5-turbo": "gpt-3.5-turbo-16k-0613", } @classmethod def get_model(cls, model: str) -> str: if model in cls.models: return model elif model in cls.model_aliases: return cls.model_aliases[model] else: return cls.default_model @classmethod def generate_fingerprint(cls) -> str: return str(random.randint(100000000, 999999999)) @classmethod async def create_async_generator( cls, model: str, messages: Messages, proxy: str = None, **kwargs ) -> AsyncResult: model = cls.get_model(model) headers = { "accept": "application/json, text/plain, */*", "accept-language": "en-US,en;q=0.9", "cache-control": "no-cache", "content-type": "application/json", "fingerprint": cls.generate_fingerprint(), "origin": cls.url, "pragma": "no-cache", "priority": "u=1, i", "referer": f"{cls.url}/chat", "sec-ch-ua": '"Chromium";v="127", "Not)A;Brand";v="99"', "sec-ch-ua-mobile": "?0", "sec-ch-ua-platform": '"Linux"', "sec-fetch-dest": "empty", "sec-fetch-mode": "cors", "sec-fetch-site": "same-origin", "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36", "x-website-domain": "chat.bixin123.com", } async with ClientSession(headers=headers) as session: prompt = format_prompt(messages) data = { "prompt": prompt, "options": { "usingNetwork": False, "file": "" } } async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response: response.raise_for_status() response_text = await response.text() lines = response_text.strip().split("\n") last_json = None for line in reversed(lines): try: last_json = json.loads(line) break except json.JSONDecodeError: pass if last_json: text = last_json.get("text", "") yield text else: yield ""