langchain_community.cache.SQLAlchemyMd5Cache

class langchain_community.cache.SQLAlchemyMd5Cache(engine: ~sqlalchemy.engine.base.Engine, cache_schema: ~typing.Type[~langchain_community.cache.FullMd5LLMCache] = <class 'langchain_community.cache.FullMd5LLMCache'>)

Cache that uses SQAlchemy as a backend.

Initialize by creating all tables.

Methods

__init__(engine[, cache_schema])	Initialize by creating all tables.
aclear(**kwargs)	Clear cache that can take additional keyword arguments.
alookup(prompt, llm_string)	Look up based on prompt and llm_string.
aupdate(prompt, llm_string, return_val)	Update cache based on prompt and llm_string.
clear(**kwargs)	Clear cache.
get_md5(input_string)
lookup(prompt, llm_string)	Look up based on prompt and llm_string.
update(prompt, llm_string, return_val)	Update based on prompt and llm_string.

Parameters

• engine (Engine) –

• cache_schema (Type[FullMd5LLMCache]) –

__init__(engine: ~sqlalchemy.engine.base.Engine, cache_schema: ~typing.Type[~langchain_community.cache.FullMd5LLMCache] = <class 'langchain_community.cache.FullMd5LLMCache'>)

Initialize by creating all tables.

Parameters

• engine (Engine) –

• cache_schema (Type[FullMd5LLMCache]) –

async aclear(**kwargs: Any) → None

Clear cache that can take additional keyword arguments.

Parameters

kwargs (Any) –

Return type

None

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

Look up based on prompt and llm_string.

Parameters

• prompt (str) –

• llm_string (str) –

Return type

Optional[Sequence[Generation]]

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

Update cache based on prompt and llm_string.

Parameters

• prompt (str) –

• llm_string (str) –

• return_val (Sequence[Generation]) –

Return type

None

clear(**kwargs: Any) → None

Clear cache.

Parameters

kwargs (Any) –

Return type

None

static get_md5(input_string: str) → str

Parameters

input_string (str) –

Return type

str

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

Look up based on prompt and llm_string.

Parameters

• prompt (str) –

• llm_string (str) –

Return type

Optional[Sequence[Generation]]

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

Update based on prompt and llm_string.

Parameters

• prompt (str) –

• llm_string (str) –

• return_val (Sequence[Generation]) –

Return type

None