Add _is_chat_input() method to Vertex and ChatVertex classes

src/backend/langflow/graph/vertex/base.py

@@ -618,6 +618,9 @@ class Vertex:
         self.steps_ran = []
         self._build_params()
 
+    def _is_chat_input(self):
+        return False
+
     def build_inactive(self):
         # Just set the results to None
         self._built = True
@@ -640,7 +643,7 @@ class Vertex:
             return self.get_requester_result(requester)
         self._reset()
 
-        if self.is_input and inputs is not None:
+        if self._is_chat_input() and inputs is not None:
             self.update_raw_params(inputs)
 
         # Run steps

src/backend/langflow/graph/vertex/types.py

@@ -6,7 +6,7 @@ import yaml
 from langchain_core.messages import AIMessage
 from loguru import logger
 
-from langflow.graph.schema import INPUT_FIELD_NAME
+from langflow.graph.schema import INPUT_FIELD_NAME, InterfaceComponentTypes
 from langflow.graph.utils import UnbuiltObject, flatten_list, serialize_field
 from langflow.graph.vertex.base import StatefulVertex, StatelessVertex
 from langflow.interface.utils import extract_input_variables_from_prompt
@@ -455,6 +455,9 @@ class ChatVertex(StatelessVertex):
         async for _ in self.stream():
             pass
 
+    def _is_chat_input(self):
+        return self.vertex_type == InterfaceComponentTypes.ChatInput and self.is_input
+
 
 class RoutingVertex(StatelessVertex):
     def __init__(self, data: Dict, graph):