ADK Task as Sub-agent Sample
Overview
This sample demonstrates how a "task mode" agent can act as a sub-agent to an LLM agent, effectively extracting structured data from a conversational flow.
The main agent (coordinator) delegates interactions to two sub-agents:
order_collector: A task agent that collects the user's food order (from a menu of Pizza, Burger, Salad) and returns a structured list of selected items as a []OrderItem.
payment_collector: A task agent that collects the user's credit card and CVV information, returning a PaymentInfo object.
Once the tasks are completed, the coordinator automatically uses a place_order tool with the structured data returned by both agents.
-
I would like to order some food please.
-
I want 2 pizzas and 1 salad.
-
My credit card is 1234-5678-9012-3456 and my CVV is 123.
Graph
graph TD
coordinator --> order_collector
coordinator --> payment_collector
coordinator -.->|uses| place_order[place_order tool]
How To
-
Define a sub-agent with Mode: llmagent.ModeTask and an output schema:
orderCollector, err := llmagent.New(llmagent.Config{
Name: "order_collector",
Model: model,
Mode: llmagent.ModeTask,
OutputSchema: orderListSchema,
// ...
})
-
Assign it to a parent agent and use it in the instruction to collect the information:
coordinator, err := llmagent.New(llmagent.Config{
SubAgents: []agent.Agent{orderCollector},
Instruction: "Delegate using `order_collector`...",
// ...
})
Run
Set your API key and run the sample with the console launcher:
export GOOGLE_API_KEY=...
go run ./examples/multiagent/task_sub_agent console