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I am attempting to use LangChain's ConversationSummaryBufferMemory and running into this error:

pydantic.errors.PydanticUserError: `ConversationSummaryBufferMemory` is not fully defined; you should define `BaseCache`, then call `ConversationSummaryBufferMemory.model_rebuild()`.

This is what my code looks like:

memory = ConversationSummaryBufferMemory(
    llm=llm,
    input_key="input",
    output_key="output",
    max_token_limit=args.get("max_tokens", DEFAULT_MAX_TOKENS),
    memory_key="chat_history",
)

I am using langchain==0.3.7.

Has anyone else encountered this?

I am attempting to use LangChain's ConversationSummaryBufferMemory and running into this error:

pydantic.errors.PydanticUserError: `ConversationSummaryBufferMemory` is not fully defined; you should define `BaseCache`, then call `ConversationSummaryBufferMemory.model_rebuild()`.

This is what my code looks like:

memory = ConversationSummaryBufferMemory(
    llm=llm,
    input_key="input",
    output_key="output",
    max_token_limit=args.get("max_tokens", DEFAULT_MAX_TOKENS),
    memory_key="chat_history",
)

I am using langchain==0.3.7.

Has anyone else encountered this?

Share Improve this question asked Nov 21, 2024 at 5:29 Minura PunchihewaMinura Punchihewa 2,0413 gold badges26 silver badges67 bronze badges
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1 Answer 1

Reset to default 2

pydantic library has been updated. pip install pydantic==2.9.2 should help

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