from __future__ import annotations import json import logging from aiohttp import ClientSession from ..typing import AsyncResult, Messages from .base_provider import AsyncGeneratorProvider, ProviderModelMixin from .helper import format_prompt """ Mhystical.cc ~~~~~~~~~~~~ Author: NoelP.dev Last Updated: 2024-05-11 Author Site: https://noelp.dev Provider Site: https://mhystical.cc """ logger = logging.getLogger(__name__) class Mhystical(AsyncGeneratorProvider, ProviderModelMixin): url = "https://api.mhystical.cc" api_endpoint = "https://api.mhystical.cc/v1/completions" working = True supports_stream = False # Set to False, as streaming is not specified in ChatifyAI supports_system_message = False supports_message_history = True default_model = 'gpt-4' models = [default_model] model_aliases = {} @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.get(model, cls.default_model) else: return cls.default_model @classmethod async def create_async_generator( cls, model: str, messages: Messages, proxy: str = None, **kwargs ) -> AsyncResult: model = cls.get_model(model) headers = { "x-api-key": "mhystical", "Content-Type": "application/json", "accept": "*/*", "cache-control": "no-cache", "origin": cls.url, "referer": f"{cls.url}/", "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" } async with ClientSession(headers=headers) as session: data = { "model": model, "messages": [{"role": "user", "content": format_prompt(messages)}] } async with session.post(cls.api_endpoint, json=data, headers=headers, proxy=proxy) as response: if response.status == 400: yield "Error: API key is missing" elif response.status == 429: yield "Error: Rate limit exceeded" elif response.status == 500: yield "Error: Internal server error" else: response.raise_for_status() response_text = await response.text() filtered_response = cls.filter_response(response_text) yield filtered_response @staticmethod def filter_response(response_text: str) -> str: try: json_response = json.loads(response_text) message_content = json_response["choices"][0]["message"]["content"] return message_content except (KeyError, IndexError, json.JSONDecodeError) as e: logger.error("Error parsing response: %s", e) return "Error: Failed to parse response from API."