State Schema

State Schema Review In module 1, we laid the foundations! We built up to an agent that can: * act - let the model call specific tools * observe - pass the tool output back to the model * reason - let the model reason about the tool output to decide what to do next (e.g., call another tool or just respond directly) * persist state - use an in memory checkpointer to support long-running conversations with interruptions And, we showed how to serve it locally in LangGraph Studio or deploy it with LangGraph Cloud. Goals In this module, we're going to build a deeper understanding of both state and memory. First, let's review a few different ways to define your state schema.