Annotation Interface HumanInTheLoop

@Retention(RUNTIME) @Target(METHOD) public @interface HumanInTheLoop
Marks a method as a human-in-the-loop agent. The method can be invoked to get input or feedback from a human during the execution of a workflow. The annotated method can have any number of parameters, which will be provided by the workflow context when the method is invoked.

Example: 


    public interface AudienceRetriever {

        @HumanInTheLoop(description = "Generate a story based on the given topic", outputName = "audience", async = true)
        static void request(@V("topic") String topic) {
            request.set("Which audience for topic " + topic + "?");
        }

        @HumanInTheLoopResponseSupplier
        static String response() {
            return System.console().readLine();
        }
    }

  • Optional Element Summary

    Optional Elements
    Modifier and Type
    Optional Element
    Description
    boolean
    async
    If true, the agent will be invoked in an asynchronous manner, allowing the workflow to continue without waiting for the agent's result.
    String
    description
    Description of the agent.
    String
    name
    Name of the agent.
    String
    outputName
    Name of the output variable that will be used to store the result of the agent's invocation.
    String
    value
    Description of the agent.

  • Element Details

    • name

      String name
      Name of the agent. If not provided, method name will be used.
      Returns:
      name of the agent.
      Default:
      ""

    • value

      String value
      Description of the agent. This is an alias of the description attribute, and it is possible to use either. It should be clear and descriptive to allow language model to understand the agent's purpose and its intended use.
      Returns:
      description of the agent.
      Default:
      ""

    • description

      String description
      Description of the agent. This is an alias of the value attribute, and it is possible to use either. It should be clear and descriptive to allow language model to understand the agent's purpose and its intended use.
      Returns:
      description of the agent.
      Default:
      ""

    • outputName

      String outputName
      Name of the output variable that will be used to store the result of the agent's invocation.
      Returns:
      name of the output variable.
      Default:
      ""

    • async

      boolean async
      If true, the agent will be invoked in an asynchronous manner, allowing the workflow to continue without waiting for the agent's result.
      Returns:
      true if the agent should be invoked in an asynchronous manner, false otherwise.
      Default:
      false