langchain_community.cache.UpstashRedisCache

class langchain_community.cache.UpstashRedisCache(redis_: Any, *, ttl: Optional[int] = None)

Cache that uses Upstash Redis as a backend.

Initialize an instance of UpstashRedisCache.

This method initializes an object with Upstash Redis caching capabilities. It takes a redis_ parameter, which should be an instance of an Upstash Redis client class, allowing the object to interact with Upstash Redis server for caching purposes.

Parameters

• redis – An instance of Upstash Redis client class (e.g., Redis) used for caching. This allows the object to communicate with Redis server for caching operations on.

• ttl (int, optional) – Time-to-live (TTL) for cached items in seconds. If provided, it sets the time duration for how long cached items will remain valid. If not provided, cached items will not have an automatic expiration.

Methods

__init__(redis_, *[, ttl])	Initialize an instance of UpstashRedisCache.
clear(**kwargs)	Clear cache.
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__(redis_: Any, *, ttl: Optional[int] = None)

Initialize an instance of UpstashRedisCache.

This method initializes an object with Upstash Redis caching capabilities. It takes a redis_ parameter, which should be an instance of an Upstash Redis client class, allowing the object to interact with Upstash Redis server for caching purposes.

Parameters

• redis – An instance of Upstash Redis client class (e.g., Redis) used for caching. This allows the object to communicate with Redis server for caching operations on.

• ttl (int, optional) – Time-to-live (TTL) for cached items in seconds. If provided, it sets the time duration for how long cached items will remain valid. If not provided, cached items will not have an automatic expiration.

clear(**kwargs: Any) → None

Clear cache. If asynchronous is True, flush asynchronously. This flushes the whole db.

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.