ConversationStringBufferMemory

class langchain.memory.buffer.ConversationStringBufferMemory

Bases: BaseMemory

Buffer for storing conversation memory.

param ai_prefix: str = 'AI'

Prefix to use for AI generated responses.

param buffer: str = ''

param human_prefix: str = 'Human'

param input_key: str | None = None

param output_key: str | None = None

async aclear() → None

Async clear memory contents.

Return type:

None

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

Return history buffer.

Parameters:

inputs (Dict[str, Any])

Return type:

Dict[str, str]

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

Save context from this conversation to buffer.

Parameters:

• inputs (Dict[str, Any])

• outputs (Dict[str, str])

Return type:

None

clear() → None

Clear memory contents.

Return type:

None

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

Return history buffer.

Parameters:

inputs (Dict[str, Any])

Return type:

Dict[str, str]

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

Save context from this conversation to buffer.

Parameters:

• inputs (Dict[str, Any])

• outputs (Dict[str, str])

Return type:

None

classmethod validate_chains(values: Dict) → Dict

Validate that return messages is not True.

Parameters:

values (Dict)

Return type:

Dict

property memory_variables: List[str]

Will always return list of memory variables. :meta private: