🐛 fix(utils.py): rename cache_class variable to cache_type for clarity and consistency

🔧 chore(utils.py): refactor `setup_llm_caching` to extract cache setup logic into a separate function for better modularity and readability
The variable `cache_class` has been renamed to `cache_type` to improve clarity and consistency with the naming conventions. The `setup_llm_caching` function has been refactored to extract the cache setup logic into a separate function called `set_langchain_cache`. This improves modularity and readability of the code.

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__}")