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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
"""
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:
logging.error("Error parsing response: %s", e)
return "Error: Failed to parse response from API."
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