diff --git a/src/backend/langflow/interface/utils.py b/src/backend/langflow/interface/utils.py
index ff89e92bf..1ab2b4ce5 100644
--- a/src/backend/langflow/interface/utils.py
+++ b/src/backend/langflow/interface/utils.py
@@ -66,17 +66,24 @@ def extract_input_variables_from_prompt(prompt: str) -> list[str]:
 def setup_llm_caching():
     """Setup LLM caching."""
 
+    from langflow.settings import settings
+
     try:
-        import langchain
-        from langflow.settings import settings
-        from langflow.interface.importing.utils import import_class
-
-        cache_class = import_class(f"langchain.cache.{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__}")
+        set_langchain_cache(settings)
     except ImportError:
         logger.warning(f"Could not import {settings.cache}. ")
     except Exception as exc:
         logger.warning(f"Could not setup LLM caching. Error: {exc}")
+
+
+# TODO Rename this here and in `setup_llm_caching`
+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}")
+
+    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__}")