Added new provider (g4f/Provider/AiMathGPT.py)

g4f/Provider/AiMathGPT.py

@@ -0,0 +1,78 @@
+from __future__ import annotations
+
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from .helper import format_prompt
+
+class AiMathGPT(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://aimathgpt.forit.ai"
+    api_endpoint = "https://aimathgpt.forit.ai/api/ai"
+    working = True
+    supports_stream = False
+    supports_system_message = True
+    supports_message_history = True
+    
+    default_model = 'llama3'
+    models = ['llama3']
+    
+    model_aliases = {"llama-3.1-70b": "llama3",}
+
+    @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
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        model = cls.get_model(model)
+        
+        headers = {
+            'accept': '*/*',
+            'accept-language': 'en-US,en;q=0.9',
+            'cache-control': 'no-cache',
+            'content-type': 'application/json',
+            'origin': cls.url,
+            'pragma': 'no-cache',
+            'priority': 'u=1, i',
+            'referer': f'{cls.url}/',
+            'sec-ch-ua': '"Chromium";v="129", "Not=A?Brand";v="8"',
+            '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/129.0.0.0 Safari/537.36'
+        }
+
+        async with ClientSession(headers=headers) as session:
+            data = {
+                "messages": [
+                    {
+                        "role": "system",
+                        "content": ""
+                    },
+                    {
+                        "role": "user",
+                        "content": format_prompt(messages)
+                    }
+                ],
+                "model": model
+            }
+            
+            async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
+                response.raise_for_status()
+                response_data = await response.json()
+                filtered_response = response_data['result']['response']
+                yield filtered_response

g4f/Provider/__init__.py

@@ -18,6 +18,7 @@ from .Allyfy           import Allyfy
 from .AmigoChat        import AmigoChat
 from .AiChatOnline     import AiChatOnline
 from .AiChats          import AiChats
+from .AiMathGPT        import AiMathGPT
 from .Airforce         import Airforce
 from .Aura             import Aura
 from .Bing             import Bing

g4f/models.py

@@ -6,6 +6,7 @@ from dataclasses import dataclass
 from .Provider import IterListProvider, ProviderType
 from .Provider import (
     AIChatFree,
+    AiMathGPT,
     Airforce,
     Allyfy,
     AmigoChat,
@@ -213,7 +214,7 @@ llama_3_1_8b = Model(
 llama_3_1_70b = Model(
     name          = "llama-3.1-70b",
     base_provider = "Meta Llama",
-    best_provider = IterListProvider([DDG, HuggingChat, Blackbox, FreeGpt, TeachAnything, Free2GPT, DeepInfraChat, DarkAI, Airforce, HuggingFace, PerplexityLabs])
+    best_provider = IterListProvider([DDG, HuggingChat, Blackbox, FreeGpt, TeachAnything, Free2GPT, DeepInfraChat, DarkAI, Airforce, AiMathGPT, HuggingFace, PerplexityLabs])
 )
 
 llama_3_1_405b = Model(