Understanding Automation AI: A Breakdown of Actor, Revisor and Tool Executor LangGraph Agents

In Automation AI, agents are crucial in handling specific tasks and workflows. These agents can be combined to create sophisticated systems capable of performing complex operations.

In this article, we will explore three critical types of agents: Actor agents, Revisor agents, and Tool executor agents, and how they fit into a LangGraph framework.

Actor Agent: The Task Performer

An Actor Agent executes specific actions based on the inputs it receives. Think of it as the “doer” in a system. For example, an Actor Agent might handle tasks like booking a reservation or processing a refund in a customer support bot. When a user requests, “I need to book a table for two at 7 PM,” the Actor Agent takes this input and performs the booking action through the system’s connected reservation platform.

Revisor Agent: The Quality Checker

The Revisor Agent acts as a quality control mechanism. After an Actor Agent acts, the Revisor Agent checks the output to ensure it meets the necessary standards. In the previous example, once the reservation is made, a Revisor Agent might verify that the booking details — such as the time and date — are correct. If any discrepancies are found, the Revisor Agent can flag them…