updates per @dlqqq comments

packages/jupyter-ai/jupyter_ai/chat_handlers/base.py

@@ -144,24 +144,20 @@ async def handle_exc(self, e: Exception, message: HumanChatMessage):
         implementation is provided, however chat handlers (subclasses) should
         implement this method to provide a more helpful error response.
         """
-        self.log.error(e)
-        if self.config_manager.lm_provider.is_api_key_exc(e):
-            self.handle_api_key_exc(e, message)
-        else:
-            await self._default_handle_exc(e, message)
-
-    def handle_api_key_exc(self, e: Exception, message: HumanChatMessage):
-        provider_name = ""
-        if hasattr(self.config_manager, "lm_provider"):
-            provider_name = getattr(self.config_manager.lm_provider, "name", "")
-        response = f"Oops! There's a problem connecting to {provider_name}. Please update your {provider_name} API key in the chat settings."
-        self.reply(response, message)
+        await self._default_handle_exc(e, message)
 
     async def _default_handle_exc(self, e: Exception, message: HumanChatMessage):
         """
         The default definition of `handle_exc()`. This is the default used when
         the `handle_exc()` excepts.
         """
+        self.log.error(e)
+        lm_provider = self.config_manager.lm_provider
+        if lm_provider and lm_provider.is_api_key_exc(e):
+            provider_name = getattr(self.config_manager.lm_provider, "name", "")
+            response = f"Oops! There's a problem connecting to {provider_name}. Please update your {provider_name} API key in the chat settings."
+            self.reply(response, message)
+            return
         formatted_e = traceback.format_exc()
         response = (
             f"Sorry, an error occurred. Details below:\n\n```\n{formatted_e}\n```"