Chain that generates key insights/facts of a user based on a a chat conversation with an AI.

Hierarchy (view full)

Implements

Constructors

Properties

chatHistoryKey: string = "chat_history"
jsonOutputParser: JsonOutputFunctionsParser<object>
llm: ChatOpenAI

The LLM to use

retriever: BaseRetrieverInterface<Record<string, any>>

The retriever to use for retrieving stored thoughts and insights.

stringOutputParser: StringOutputParser
thoughtsKey: string = "thoughts"
memory?: BaseMemory

Accessors

Methods

  • Parameters

    • inputs: ChainValues[]
    • Optional config: (RunnableConfig | CallbackManager | (BaseCallbackHandler | BaseCallbackHandlerMethodsClass)[])[]

    Returns Promise<ChainValues[]>

    ⚠️ Deprecated ⚠️

    Use .batch() instead. Will be removed in 0.2.0.

    This feature is deprecated and will be removed in the future.

    It is not recommended for use.

    Call the chain on all inputs in the list

  • Parameters

    • values: ChainValues & {
          signal?: AbortSignal;
          timeout?: number;
      }
    • Optional config: RunnableConfig | CallbackManager | (BaseCallbackHandler | BaseCallbackHandlerMethodsClass)[]
    • Optional tags: string[]

      Deprecated

    Returns Promise<ChainValues>

    Deprecated

    Use .invoke() instead. Will be removed in 0.2.0.

    Run the core logic of this chain and add to output if desired.

    Wraps _call and handles memory.

  • This method breaks down the chat history into chunks of messages. Each chunk consists of a sequence of messages ending with an AI message and the subsequent user response, if any.

    Parameters

    • chatHistory: BaseMessage[]

      The chat history to be chunked.

    Returns MessageChunkResult[]

    An array of message chunks. Each chunk includes a sequence of messages and the subsequent user response.

    Description

    The method iterates over the chat history and pushes each message into a temporary array. When it encounters an AI message, it checks for a subsequent user message. If a user message is found, it is considered as the user response to the AI message. If no user message is found after the AI message, the user response is undefined. The method then pushes the chunk (sequence of messages and user response) into the result array. This process continues until all messages in the chat history have been processed.

  • Invoke the chain with the provided input and returns the output.

    Parameters

    • input: ChainValues

      Input values for the chain run.

    • Optional options: RunnableConfig

    Returns Promise<ChainValues>

    Promise that resolves with the output of the chain run.

  • Parameters

    • inputs: Record<string, unknown>
    • outputs: Record<string, unknown>
    • returnOnlyOutputs: boolean = false

    Returns Promise<Record<string, unknown>>

  • Parameters

    • input: any
    • Optional config: RunnableConfig | CallbackManager | (BaseCallbackHandler | BaseCallbackHandlerMethodsClass)[]

    Returns Promise<string>

    Deprecated

    Use .invoke() instead. Will be removed in 0.2.0.

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