Class ConversationTokenBufferMemory

Class that represents a conversation chat memory with a token buffer. It extends the BaseChatMemory class and implements the ConversationTokenBufferMemoryInput interface.

Example

const memory = new ConversationTokenBufferMemory({
  llm: new ChatOpenAI({}),
  maxTokenLimit: 10,
});

// Save conversation context
await memory.saveContext({ input: "hi" }, { output: "whats up" });
await memory.saveContext({ input: "not much you" }, { output: "not much" });

// Load memory variables
const result = await memory.loadMemoryVariables({});
console.log(result);

Hierarchy (view full)

Implements

Constructors

constructor

Properties

aiPrefix chatHistory humanPrefix llm maxTokenLimit memoryKey returnMessages inputKey? outputKey?

Accessors

memoryKeys

Methods

clear loadMemoryVariables saveContext

Constructors

constructor

Properties

aiPrefix

aiPrefix: string = "AI"

chatHistory

chatHistory: BaseChatMessageHistory

humanPrefix

humanPrefix: string = "Human"

llm

llm: BaseLanguageModelInterface

maxTokenLimit

maxTokenLimit: number = 2000

memoryKey

memoryKey: string = "history"

returnMessages

returnMessages: boolean = false

Optional inputKey

inputKey?: string

Optional outputKey

outputKey?: string

Accessors

memoryKeys

Methods

clear

loadMemoryVariables

  • loadMemoryVariables(_values): Promise<MemoryVariables>

  • Loads the memory variables. It takes an InputValues object as a parameter and returns a Promise that resolves with a MemoryVariables object.

    Parameters

    • _values: InputValues

      InputValues object.

    Returns Promise<MemoryVariables>

    A Promise that resolves with a MemoryVariables object.

saveContext

  • saveContext(inputValues, outputValues): Promise<void>

  • Saves the context from this conversation to buffer. If the amount of tokens required to save the buffer exceeds MAX_TOKEN_LIMIT, prune it.

    Parameters

    • inputValues: InputValues
    • outputValues: OutputValues

    Returns Promise<void>

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