1.Can use aios_shell from new jarvis telgram bot right now

2.Update MVP plan2.md
3.Refactor function support

src/aios_kernel/ai_function.py

@@ -1,25 +1,62 @@
+from abc import ABC, abstractmethod
+from typing import Dict
+
 class AIFunction:
     def __init__(self) -> None:
         self.intro : str = None
     
-    def load_from_config(self,config:dict) -> bool:
+    @abstractmethod
+    def get_name(self) -> str:
+        """
+        return the name of the function (should be snake case)
+        """
         pass
 
+    @abstractmethod
+    def get_description(self) -> str:
+        """
+        return a detailed description of what the function does
+        """
+        pass
+
+    @abstractmethod
+    def get_parameters(self) -> Dict:
+        """
+        Return the list of parameters to execute this function in the form of
+        JSON schema as specified in the OpenAI documentation:
+        https://platform.openai.com/docs/api-reference/chat/create#chat/create-parameters
+        """
+        pass
+    
+    @abstractmethod
+    def execute(self, **kwargs) -> Dict:
+        """
+        Execute the function and return a JSON serializable dict.
+        The parameters are passed in the form of kwargs
+        """
+        pass
+
+    @abstractmethod
     def is_local(self) -> bool:
+        """
+        is this function call need network?
+        """
         pass
 
+    @abstractmethod
     def is_in_zone(self) -> bool:
-        pass
-    
-    def is_readyonly(self) -> bool:
+        """
+        is this function call in Lan?
+        """
         pass
 
-    def get_intro(self) -> str:
-        return self.intro
-    
-    async def execute(self):
+    @abstractmethod  
+    def is_ready_only(self) -> bool:
         pass
 
+    #def load_from_config(self,config:dict) -> bool:
+    #    pass
+
 # call chain is a combination of ai_function,group of ai_function.
 class CallChain:
     def __init__(self) -> None: