feat: adding memory frontend node

src/backend/langflow/interface/memories/base.py

@@ -3,12 +3,18 @@ from typing import Dict, List, Optional
 from langflow.interface.base import LangChainTypeCreator
 from langflow.interface.custom_lists import memory_type_to_cls_dict
 from langflow.settings import settings
+from langflow.template.nodes import MemoryFrontendNode
 from langflow.utils.util import build_template_from_class
 
 
 class MemoryCreator(LangChainTypeCreator):
     type_name: str = "memories"
 
+    @property
+    def frontend_node_class(self) -> str:
+        """The class type of the FrontendNode created in frontend_node."""
+        return MemoryFrontendNode
+
     @property
     def type_to_loader_dict(self) -> Dict:
         if self.type_dict is None:

src/backend/langflow/interface/wrappers/base.py

@@ -13,7 +13,7 @@ class WrapperCreator(LangChainTypeCreator):
     def type_to_loader_dict(self) -> Dict:
         if self.type_dict is None:
             self.type_dict = {
-                wrapper.__name__: wrapper for wrapper in [requests.RequestsWrapper]
+                wrapper.__name__: wrapper for wrapper in [requests.TextRequestsWrapper]
             }
         return self.type_dict
 

src/backend/langflow/template/nodes.py

@@ -259,3 +259,17 @@ class PromptFrontendNode(FrontendNode):
             and "BaseMessagePromptTemplate" in field.field_type
         ):
             field.field_type = "BaseMessagePromptTemplate"
+
+
+class MemoryFrontendNode(FrontendNode):
+    @staticmethod
+    def format_field(field: TemplateField, name: Optional[str] = None) -> None:
+        FrontendNode.format_field(field, name)
+
+        if not isinstance(field.value, str):
+            field.value = None
+        if field.name == "k":
+            field.required = True
+            field.show = True
+            field.field_type = "int"
+            field.value = 10