Class responsible for managing tasks, including their creation, prioritization, and execution. It uses three chains for these operations: creationChain, prioritizationChain, and executionChain.

Hierarchy

Implements

Constructors

Properties

lc_kwargs: SerializedFields
lc_serializable: boolean = false
maxIterations: number
prioritizationChain: BaseChain<ChainValues, ChainValues>
taskIDCounter: number
taskList: Task[]
vectorstore: VectorStore
verbose: boolean

Whether to print out response text.

callbacks?: Callbacks
memory?: BaseMemory
metadata?: Record<string, unknown>
tags?: string[]
lc_runnable: boolean = true

Accessors

  • get lc_aliases(): undefined | {
        [key: string]: string;
    }
  • A map of aliases for constructor args. Keys are the attribute names, e.g. "foo". Values are the alias that will replace the key in serialization. This is used to eg. make argument names match Python.

    Returns undefined | {
        [key: string]: string;
    }

  • get lc_attributes(): undefined | {
        [key: string]: undefined;
    }
  • A map of additional attributes to merge with constructor args. Keys are the attribute names, e.g. "foo". Values are the attribute values, which will be serialized. These attributes need to be accepted by the constructor as arguments.

    Returns undefined | {
        [key: string]: undefined;
    }

  • get lc_namespace(): string[]
  • A path to the module that contains the class, eg. ["langchain", "llms"] Usually should be the same as the entrypoint the class is exported from.

    Returns string[]

  • get lc_secrets(): undefined | {
        [key: string]: string;
    }
  • A map of secrets, which will be omitted from serialization. Keys are paths to the secret in constructor args, e.g. "foo.bar.baz". Values are the secret ids, which will be used when deserializing.

    Returns undefined | {
        [key: string]: string;
    }

Methods

  • Executes a task based on the objective and the task description.

    Parameters

    • objective: string

      The objective of the task.

    • task: string

      The task to be executed.

    • Optional runManager: CallbackManagerForChainRun

      Optional CallbackManagerForChainRun instance.

    Returns Promise<string>

    Promise resolving to the result of the task execution as a string.

  • Generates the next tasks based on the result of the previous task, the task description, and the objective.

    Parameters

    • result: string

      The result of the previous task.

    • task_description: string

      The description of the task.

    • objective: string

      The objective of the task.

    • Optional runManager: CallbackManagerForChainRun

      Optional CallbackManagerForChainRun instance.

    Returns Promise<Optional<Task, "taskID">[]>

    Promise resolving to an array of tasks without taskID.

  • Retrieves the top tasks that are most similar to the given query.

    Parameters

    • query: string

      The query to search for.

    • k: number = 5

      The number of top tasks to retrieve.

    Returns Promise<string[]>

    Promise resolving to an array of top tasks.

  • Prioritizes the tasks based on the current task ID and the objective.

    Parameters

    • thisTaskID: number

      The ID of the current task.

    • objective: string

      The objective of the task.

    • Optional runManager: CallbackManagerForChainRun

      Optional CallbackManagerForChainRun instance.

    Returns Promise<{
        taskID: string;
        taskName: string;
    }[]>

    Promise resolving to an array of prioritized tasks.

  • Stream all output from a runnable, as reported to the callback system. This includes all inner runs of LLMs, Retrievers, Tools, etc. Output is streamed as Log objects, which include a list of jsonpatch ops that describe how the state of the run has changed in each step, and the final state of the run. The jsonpatch ops can be applied in order to construct state.

    Parameters

    Returns AsyncGenerator<RunLogPatch, any, unknown>

  • Helper method to transform an Iterator of Input values into an Iterator of Output values, with callbacks. Use this to implement stream() or transform() in Runnable subclasses.

    Type Parameters

    Parameters

    • inputGenerator: AsyncGenerator<I, any, unknown>
    • transformer: ((generator, runManager?, options?) => AsyncGenerator<O, any, unknown>)
        • (generator, runManager?, options?): AsyncGenerator<O, any, unknown>
        • Parameters

          Returns AsyncGenerator<O, any, unknown>

    • Optional options: BaseCallbackConfig & {
          runType?: string;
      }

    Returns AsyncGenerator<O, any, unknown>

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