BaseChatMemory#

class langchain.memory.chat_memory.BaseChatMemory[source]#

Bases: BaseMemory, ABC

Abstract base class for chat memory.

param chat_memory: BaseChatMessageHistory [Optional]#

param input_key: str | None = None#

param output_key: str | None = None#

param return_messages: bool = False#

async aclear() → None[source]#

Clear memory contents.

Return type:: None

async aload_memory_variables(inputs: Dict[str, Any]) → Dict[str, Any]#

Async return key-value pairs given the text input to the chain.

Parameters:: inputs (Dict[str, Any]) – The inputs to the chain.
Returns:: A dictionary of key-value pairs.
Return type:: Dict[str, Any]

async asave_context(inputs: Dict[str, Any], outputs: Dict[str, str]) → None[source]#

Save context from this conversation to buffer.

Parameters:

inputs (Dict[str, Any])
outputs (Dict[str, str])

Return type:

None

clear() → None[source]#

Clear memory contents.

Return type:: None

abstract load_memory_variables(inputs: Dict[str, Any]) → Dict[str, Any]#

Return key-value pairs given the text input to the chain.

Parameters:: inputs (Dict[str, Any]) – The inputs to the chain.
Returns:: A dictionary of key-value pairs.
Return type:: Dict[str, Any]

save_context(inputs: Dict[str, Any], outputs: Dict[str, str]) → None[source]#

Save context from this conversation to buffer.

Parameters:

inputs (Dict[str, Any])
outputs (Dict[str, str])

Return type:

None

abstract property memory_variables: List[str]#: The string keys this memory class will add to chain inputs.