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langchain/langchain/memory/buffer.py

39 lines
1.1 KiB
Python

from typing import Any, Dict, List
from pydantic import BaseModel
from langchain.memory.chat_memory import BaseChatMemory
from langchain.memory.utils import get_buffer_string
class ConversationBufferMemory(BaseChatMemory, BaseModel):
"""Buffer for storing conversation memory."""
human_prefix: str = "Human"
ai_prefix: str = "AI"
memory_key: str = "history" #: :meta private:
@property
def buffer(self) -> Any:
"""String buffer of memory."""
if self.return_messages:
return self.chat_memory.messages
else:
return get_buffer_string(
self.chat_memory.messages,
human_prefix=self.human_prefix,
ai_prefix=self.ai_prefix,
)
@property
def memory_variables(self) -> List[str]:
"""Will always return list of memory variables.
:meta private:
"""
return [self.memory_key]
def load_memory_variables(self, inputs: Dict[str, Any]) -> Dict[str, Any]:
"""Return history buffer."""
return {self.memory_key: self.buffer}