Chain to generate tasks.

Hierarchy

Constructors

Properties

llm: LLMType

LLM Wrapper to use

outputKey: string = "text"

Key to use for output, defaults to text

Prompt object to use

verbose: boolean

Whether to print out response text.

callbacks?: Callbacks
llmKwargs?: any

Kwargs to pass to LLM

memory?: BaseMemory
metadata?: Record<string, unknown>
outputParser?: BaseLLMOutputParser<string>

OutputParser to use

tags?: string[]

Accessors

Methods

  • Format prompt with values and pass to LLM

    Parameters

    • values: any

      keys to pass to prompt template

    • Optional callbackManager: CallbackManager

      CallbackManager to use

    Returns Promise<string>

    Completion from LLM.

    Example

    llm.predict({ adjective: "funny" })
    
  • 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>

  • Creates a new TaskCreationChain instance. It takes an object of type LLMChainInput as input, omitting the 'prompt' field. It uses the PromptTemplate class to create a new prompt based on the task creation template and the input variables. The new TaskCreationChain instance is then created with this prompt and the remaining fields from the input object.

    Parameters

    • fields: Omit<LLMChainInput<string, LLMType>, "prompt">

      An object of type LLMChainInput, omitting the 'prompt' field.

    Returns LLMChain<string, LLMType>

    A new instance of TaskCreationChain.

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