♻️ Refactor default_settings.toml and main.py

The changes in this commit refactor the default_settings.toml and main.p
y files. The llm_enabled variable in default_settings.toml has been
rena
med to myllm_enabled. Additionally, the llm_model variable has been
remo
ved and replaced with llm_provider. The main.py file has been modified
t
o update the variable names accordingly. The get_myllm_help method has
b
een added to the MyLLM class to retrieve the help message for the
myllm
command. The debug log statement in the MyLLM class has been updated.

myllm/default_settings.toml

@@ -17,16 +17,20 @@
 VALUE = "On default"
 
 # Module Enable/Disable
-llm_enabled = true
+myllm_enabled = true
 
 # LLM Model to use
 llm_model = "gpt-3.5-turbo"
 
 # LLM Provider
 # Refer to https://github.com/xtekky/gpt4free
 # for the list of supported provider
-# llm_provider = "g4f.Provider.ChatgptAi"
 llm_provider = "g4f.Provider.Bing"
+
+# Number of conversation history 
+# between user and ai
+max_memory = 5
+
 # help message listing the commands
 # available
 llm_commands = """
@@ -35,14 +39,7 @@ llm_commands = """
 ➰ /aimode\n
 🧽 /clearai\n
 """
-# command for topic/conversation
-bot_command_question = "qq"
-# command for reset chat
-bot_command_clearai = "clearai"
 
-# command to activate or deactivate aimode
-# not implemented
-bot_command_aimode = "aimode"
 llm_ai_mode = false
 
 # template prompt context

myllm/main.py

@@ -45,7 +45,7 @@ def __init__(self):
             None
         """
 
-        self.enabled = settings.llm_enabled
+        self.enabled = settings.myllm_enabled
         if not self.enabled:
             return
         self.commands = settings.llm_commands
@@ -56,6 +56,15 @@ def __init__(self):
         self.provider = provider_class()
         self.conversation = Conversation()
 
+    async def get_myllm_help(self):
+        """
+        Get the help message for MyLLM.
+
+        Returns:
+            str: The help message for the `myllm` command.
+        """
+        return f"{self.commands}\n"
+
     async def get_myllm_info(self):
         """
         Get MyLLM information.
@@ -67,14 +76,6 @@ async def get_myllm_info(self):
             f"ℹ️ MyLLM v{__version__}\n {settings.llm_model}\n{settings.llm_provider}"
         )
 
-    async def get_myllm_help(self):
-        """
-        Get the help message for MyLLM.
-
-        Returns:
-            str: The help message for the `myllm` command.
-        """
-        return f"{self.commands}\n"
 
     async def chat(self, prompt):
         """
@@ -84,9 +85,8 @@ async def chat(self, prompt):
             prompt (str): The prompt message from the user.
 
         Returns:
-            str: The predicted response from the conversation model.
+            str: The  response from the conversation model.
         """
-        logger.debug("chat {}", prompt)
         self.conversation.add_message("user", prompt)
         logger.debug("conversation {}", self.conversation.get_messages())
         response = await self.provider.create_async(
@@ -95,13 +95,11 @@ async def chat(self, prompt):
         )
         logger.debug("response {}", response)
         self.conversation.add_message("ai", response)
-        logger.debug("conversation {}", self.conversation.get_messages())
         return response
 
     async def clear_chat_history(self):
         """
-        Clears the chat history by setting the `conversation`
-        attribute to an empty string.
+        Clears the chat history 
         """
         self.conversation = Conversation()
 
@@ -112,7 +110,7 @@ async def switch_continous_mode(self):
 
 
 class Conversation:
-    def __init__(self, max_memory=5):
+    def __init__(self, max_memory=settings.max_memory):
         self.messages = []
         self.max_memory = max_memory
 
@@ -122,5 +120,4 @@ def add_message(self, role: str, content: str):
         self.messages.append({"role": role, "content": content})
 
     def get_messages(self):
-        logger.debug("messages {}", self.messages)
         return self.messages