State Schema Guide
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.
When to use 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.
How to use State Schema
State Schema is a single agent agent built on the LangGraph framework. Set it up from the source repository, configure your model credentials, and invoke it for tasks that match its description. Review the safety profile below before running it against production data or systems.
Safety profile
Autonomy
Semi-autonomous
Sandbox-aware
No declared sandbox guidance
Network access
Unspecified
Filesystem access
Unspecified