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 badges1 Answer
Reset to default 2pydantic library has been updated.
pip install pydantic==2.9.2 should help
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