GPTCache keep creating new gptcache cache_obj

[elBarkey]

System Info

Langchain Version: 0.0.170 Platform: Linux X86_64 Python: 3.9

Who can help?

@SimFG

No response

Information

• [X] The official example notebooks/scripts
• [ ] My own modified scripts

Related Components

• [ ] LLMs/Chat Models
• [ ] Embedding Models
• [ ] Prompts / Prompt Templates / Prompt Selectors
• [ ] Output Parsers
• [ ] Document Loaders
• [ ] Vector Stores / Retrievers
• [ ] Memory
• [ ] Agents / Agent Executors
• [ ] Tools / Toolkits
• [ ] Chains
• [ ] Callbacks/Tracing
• [ ] Async

Reproduction

Steps to produce behaviour:

from gptcache import Cache
from gptcache.adapter.api import init_similar_cache
from langchain.cache import GPTCache

# Avoid multiple caches using the same file, causing different llm model caches to affect each other

def init_gptcache(cache_obj: Cache, llm str):
    init_similar_cache(cache_obj=cache_obj, data_dir=f"similar_cache_{llm}")

langchain.llm_cache = GPTCache(init_gptcache)
llm = OpenAI(model_name="text-davinci-002", temperature=0.2)
llm("tell me a joke")
print("cached:", langchain.llm_cache.lookup("tell me a joke", llm_string))
# cached: None

the cache won't hits

Expected behavior

the gptcache should have a hit