mirror of
https://github.com/hwchase17/langchain
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acd86d33bc
Provide shared memory capability for the Agent. Inspired by #1293 . ## Problem If both Agent and Tools (i.e., LLMChain) use the same memory, both of them will save the context. It can be annoying in some cases. ## Solution Create a memory wrapper that ignores the save and clear, thereby preventing updates from Agent or Tools.
38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
import pytest
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from langchain.chains.conversation.memory import (
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ConversationBufferMemory,
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ConversationBufferWindowMemory,
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ConversationSummaryMemory,
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)
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from langchain.memory import ReadOnlySharedMemory, SimpleMemory
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from langchain.schema import BaseMemory
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from tests.unit_tests.llms.fake_llm import FakeLLM
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def test_simple_memory() -> None:
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"""Test SimpleMemory."""
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memory = SimpleMemory(memories={"baz": "foo"})
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output = memory.load_memory_variables({})
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assert output == {"baz": "foo"}
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assert ["baz"] == memory.memory_variables
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@pytest.mark.parametrize(
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"memory",
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[
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ConversationBufferMemory(memory_key="baz"),
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ConversationSummaryMemory(llm=FakeLLM(), memory_key="baz"),
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ConversationBufferWindowMemory(memory_key="baz"),
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],
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)
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def test_readonly_memory(memory: BaseMemory) -> None:
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read_only_memory = ReadOnlySharedMemory(memory=memory)
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memory.save_context({"input": "bar"}, {"output": "foo"})
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assert read_only_memory.load_memory_variables({}) == memory.load_memory_variables(
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{}
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)
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