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40 lines
1.1 KiB
Python
40 lines
1.1 KiB
Python
from typing import Any, Dict, List
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from langchain.memory.chat_memory import BaseChatMemory
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from langchain.schema import BaseMessage, get_buffer_string
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class ConversationBufferWindowMemory(BaseChatMemory):
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"""Buffer for storing conversation memory."""
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human_prefix: str = "Human"
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ai_prefix: str = "AI"
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memory_key: str = "history" #: :meta private:
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k: int = 5
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@property
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def buffer(self) -> List[BaseMessage]:
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"""String buffer of memory."""
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return self.chat_memory.messages
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@property
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def memory_variables(self) -> List[str]:
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"""Will always return list of memory variables.
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:meta private:
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"""
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return [self.memory_key]
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def load_memory_variables(self, inputs: Dict[str, Any]) -> Dict[str, str]:
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"""Return history buffer."""
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if self.return_messages:
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buffer: Any = self.buffer[-self.k * 2 :]
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else:
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buffer = get_buffer_string(
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self.buffer[-self.k * 2 :],
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human_prefix=self.human_prefix,
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ai_prefix=self.ai_prefix,
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)
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return {self.memory_key: buffer}
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