Provide the utility to count the token saved using Semantic Cache

It would be nice to have an optional mode permitting to monitor the number of token the Semantic Cache permits to save.
To do so, today we can store the token as metadata item.

from langchain_community.callbacks import get_openai_callback

with get_openai_callback() as cb:
        response = agent.run(input=user_query, callbacks=[retrieval_handler])
        red.set("query_token_total",cb.total_tokens)
        red.incr("session_token",cb.total_tokens)
    return response

(...)

metadata=dict()
                if int(red.get("query_token_total").decode('utf-8'))!=0:
                    metadata["token"]= int(red.get("query_token_total").decode('utf-8'))
                    llmcache.store(user_query, response, metadata=metadata)
                else:
                    llmcache.store(user_query, response)

I am wondering if it would make sense to make such easier as it permits to highlight the Semantic Cache value.