Agent Router Node R6 Class

A node that determines the next node in the DAG dynamically. The logic function must return a list with a `target_node` field.

Value

An `AgentRouterNode` object.

Super class

HydraR::AgentNode -> AgentRouterNode

Public fields

router_fn

Function(state) -> List(target_node, output).

Methods

Public methods

• AgentRouterNode$new()

• AgentRouterNode$run()

• AgentRouterNode$clone()

---

Method new()

Initialize AgentRouterNode

Usage

AgentRouterNode$new(id, router_fn, label = NULL, params = list())

Arguments

id

Unique identifier.

router_fn

Function that takes an AgentState and returns a list.

label

Optional human-readable name.

params

Optional list of parameters. Run the Router Node

---

Method run()

Usage

AgentRouterNode$run(state, ...)

Arguments

state

AgentState object.

...

Additional arguments.

Returns

List with status, output, and target_node.

---

Method clone()

The objects of this class are cloneable with this method.

Usage

AgentRouterNode$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

if (FALSE) { # \dontrun{
# Routing based on an LLM sentiment classification
classifier <- function(state) {
  sentiment <- state$get("analyst_output")
  if (grepl("Positive", sentiment)) {
    list(target_node = "celebrate", status = "success")
  } else {
    list(target_node = "investigate", status = "success")
  }
}

node_router <- AgentRouterNode$new(
  id = "sentiment_router",
  router_fn = classifier
)

# Run with dummy state
res <- node_router$run(AgentState$new(list(analyst_output = "Positive results!")))
message("Targeting node: ", res$target_node)
} # }