x

libs/langchain/langchain/automaton/runnables.py

@@ -59,7 +59,6 @@ def create_llm_program(
     """Create a runnable that can update memory."""
 
     tool_invoker = create_tool_invoker(tools) if invoke_tools else None
-    # openai_funcs = [format_tool_to_openai_function(tool_) for tool_ in tools]
 
     def _bound(message_log: MessageLog):
         messages = []
@@ -67,8 +66,6 @@ def create_llm_program(
         llm_chain = llm
         if stop:
             llm_chain = llm_chain.bind(stop=stop)
-        # if tools:  # Should this be done here?
-        #     llm_chain = llm_chain.bind(functions=openai_funcs)
 
         result = llm_chain.invoke(prompt_value)
 

libs/langchain/langchain/automaton/typedefs.py

@@ -26,16 +26,16 @@ class FunctionResult(InternalMessage):
     error: Optional[str] = None
 
 
-class AgentFinish(InternalMessage):
-    result: Any
-
-
 class PrimingMessage(InternalMessage):
     """A message that is used to prime the language model."""
 
     content: str
 
 
+class AgentFinish(InternalMessage):
+    result: Any
+
+
 MessageLike = Union[
     BaseMessage, FunctionCall, FunctionResult, AgentFinish, PrimingMessage
 ]