Create Langchain LLM converter to quickly supply it to Langchain's chain (#102)

* Create Langchain LLM converter to quickly supply it to Langchain's chain

* Clean up

knowledgehub/llms/chats/base.py

@@ -3,11 +3,12 @@ from __future__ import annotations
 import logging
 
 from kotaemon.base import BaseComponent
+from kotaemon.llms.base import BaseLLM
 
 logger = logging.getLogger(__name__)
 
 
-class ChatLLM(BaseComponent):
+class ChatLLM(BaseLLM):
     def flow(self):
         if self.inflow is None:
             raise ValueError("No inflow provided.")

knowledgehub/llms/chats/langchain_based.py

@@ -68,6 +68,9 @@ class LCChatMixin:
             logits=[],
         )
 
+    def to_langchain_format(self):
+        return self._obj
+
     def __repr__(self):
         kwargs = []
         for key, value_obj in self._kwargs.items():