diff --git a/src/backend/langflow/__main__.py b/src/backend/langflow/__main__.py
index fa167f188..d5472c1c9 100644
--- a/src/backend/langflow/__main__.py
+++ b/src/backend/langflow/__main__.py
@@ -22,7 +22,7 @@ app = typer.Typer()
 
 def update_settings(
     config: str,
-    cache: str,
+    cache: Optional[str] = None,
     dev: bool = False,
     remove_api_keys: bool = False,
     components_path: Optional[Path] = None,
@@ -117,10 +117,10 @@ def serve(
     log_file: Path = typer.Option(
         "logs/langflow.log", help="Path to the log file.", envvar="LANGFLOW_LOG_FILE"
     ),
-    cache: str = typer.Option(
+    cache: Optional[str] = typer.Option(
         envvar="LANGFLOW_LANGCHAIN_CACHE",
         help="Type of cache to use. (InMemoryCache, SQLiteCache)",
-        default="SQLiteCache",
+        default=None,
     ),
     jcloud: bool = typer.Option(False, help="Deploy on Jina AI Cloud"),
     dev: bool = typer.Option(False, help="Run in development mode (may contain bugs)"),
diff --git a/src/backend/langflow/interface/utils.py b/src/backend/langflow/interface/utils.py
index d6c7b9023..e14d0e464 100644
--- a/src/backend/langflow/interface/utils.py
+++ b/src/backend/langflow/interface/utils.py
@@ -78,9 +78,16 @@ def set_langchain_cache(settings):
     import langchain
     from langflow.interface.importing.utils import import_class
 
-    cache_type = os.getenv("LANGFLOW_LANGCHAIN_CACHE")
-    cache_class = import_class(f"langchain.cache.{cache_type or settings.CACHE}")
+    if cache_type := os.getenv("LANGFLOW_LANGCHAIN_CACHE"):
+        try:
+            cache_class = import_class(
+                f"langchain.cache.{cache_type or settings.CACHE}"
+            )
 
-    logger.debug(f"Setting up LLM caching with {cache_class.__name__}")
-    langchain.llm_cache = cache_class()
-    logger.info(f"LLM caching setup with {cache_class.__name__}")
+            logger.debug(f"Setting up LLM caching with {cache_class.__name__}")
+            langchain.llm_cache = cache_class()
+            logger.info(f"LLM caching setup with {cache_class.__name__}")
+        except ImportError:
+            logger.warning(f"Could not import {cache_type}. ")
+    else:
+        logger.info("No LLM cache set.")
diff --git a/src/backend/langflow/services/plugins/langfuse.py b/src/backend/langflow/services/plugins/langfuse.py
index 98375a549..4dbd90a3d 100644
--- a/src/backend/langflow/services/plugins/langfuse.py
+++ b/src/backend/langflow/services/plugins/langfuse.py
@@ -16,7 +16,7 @@ class LangfuseInstance:
 
     @classmethod
     def create(cls):
-        logger.debug("Creating Langfuse instance")
+        logger.debug("Checking Langfuse credentials")
         from langflow.settings import settings
         from langfuse import Langfuse  # type: ignore
 
diff --git a/src/backend/langflow/settings.py b/src/backend/langflow/settings.py
index abb391446..e28e90eea 100644
--- a/src/backend/langflow/settings.py
+++ b/src/backend/langflow/settings.py
@@ -32,7 +32,7 @@ class Settings(BaseSettings):
 
     DEV: bool = False
     DATABASE_URL: Optional[str] = None
-    CACHE: str = "InMemoryCache"
+    CACHE: Optional[str] = None
     REMOVE_API_KEYS: bool = False
     COMPONENTS_PATH: List[str] = []
 
diff --git a/src/frontend/src/components/inputListComponent/index.tsx b/src/frontend/src/components/inputListComponent/index.tsx
index a1f58789f..f415e4dbb 100644
--- a/src/frontend/src/components/inputListComponent/index.tsx
+++ b/src/frontend/src/components/inputListComponent/index.tsx
@@ -19,7 +19,9 @@ export default function InputListComponent({
   }, [disabled]);
 
   // @TODO Recursive Character Text Splitter - the value might be in string format, whereas the InputListComponent specifically requires an array format. To ensure smooth operation and prevent potential errors, it's crucial that we handle the conversion from a string to an array with the string as its element.
-  typeof value === 'string' ? value = [value] : value = value;
+  if (typeof value === "string") {
+    value = [value];
+  }
 
   return (
     <div