Deployment Guide
Deployment Review We built up to an agent with memory: * 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 Goals Now, we'll cover how to actually deploy our agent locally to Studio and to LangGraph Cloud.
When to use Deployment
Deployment Review We built up to an agent with memory: * 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 Goals Now, we'll cover how to actually deploy our agent locally to Studio and to LangGraph Cloud.
How to use Deployment
Deployment 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