langchain_community.cache.AstraDBCache

class langchain_community.cache.AstraDBCache(*, collection_name: str = 'langchain_astradb_cache', token: Optional[str] = None, api_endpoint: Optional[str] = None, astra_db_client: Optional[Any] = None, namespace: Optional[str] = None)

Cache that uses Astra DB as a backend.

It uses a single collection as a kv store The lookup keys, combined in the _id of the documents, are:

• prompt, a string

• llm_string, a deterministic str representation of the model parameters. (needed to prevent same-prompt-different-model collisions)

Create an AstraDB cache using a collection for storage.

Args (only keyword-arguments accepted):

collection_name (str): name of the Astra DB collection to create/use. token (Optional[str]): API token for Astra DB usage. api_endpoint (Optional[str]): full URL to the API endpoint,

such as “https://<DB-ID>-us-east1.apps.astra.datastax.com”.

astra_db_client (Optional[Any]): alternative to token+api_endpoint,

you can pass an already-created ‘astrapy.db.AstraDB’ instance.

namespace (Optional[str]): namespace (aka keyspace) where the

collection is created. Defaults to the database’s “default namespace”.

Methods

__init__(*[, collection_name, token, ...])	Create an AstraDB cache using a collection for storage.
clear(**kwargs)	Clear cache.
delete(prompt, llm_string)	Evict from cache if there's an entry.
delete_through_llm(prompt, llm[, stop])	A wrapper around delete with the LLM being passed.
lookup(prompt, llm_string)	Look up based on prompt and llm_string.
update(prompt, llm_string, return_val)	Update cache based on prompt and llm_string.

__init__(*, collection_name: str = 'langchain_astradb_cache', token: Optional[str] = None, api_endpoint: Optional[str] = None, astra_db_client: Optional[Any] = None, namespace: Optional[str] = None)

Create an AstraDB cache using a collection for storage.

Args (only keyword-arguments accepted):

collection_name (str): name of the Astra DB collection to create/use. token (Optional[str]): API token for Astra DB usage. api_endpoint (Optional[str]): full URL to the API endpoint,

such as “https://<DB-ID>-us-east1.apps.astra.datastax.com”.

astra_db_client (Optional[Any]): alternative to token+api_endpoint,

you can pass an already-created ‘astrapy.db.AstraDB’ instance.

namespace (Optional[str]): namespace (aka keyspace) where the

collection is created. Defaults to the database’s “default namespace”.

clear(**kwargs: Any) → None

Clear cache. This is for all LLMs at once.

delete(prompt: str, llm_string: str) → None

Evict from cache if there’s an entry.

delete_through_llm(prompt: str, llm: LLM, stop: Optional[List[str]] = None) → None

A wrapper around delete with the LLM being passed. In case the llm(prompt) calls have a stop param, you should pass it here

lookup(prompt: str, llm_string: str) → Optional[Sequence[Generation]]

Look up based on prompt and llm_string.

update(prompt: str, llm_string: str, return_val: Sequence[Generation]) → None

Update cache based on prompt and llm_string.