Added the best AI Provider there exists

g4f/Provider/Mhystical.py

@@ -0,0 +1,88 @@
+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."

g4f/Provider/__init__.py

@@ -70,6 +70,7 @@
 from .Upstage          import Upstage
 from .WhiteRabbitNeo   import WhiteRabbitNeo
 from .You              import You
+from .Mhystical       import Mhystical
 
 import sys