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.
Autonomy
Semi-autonomous
Sandbox-aware
No declared sandbox guidance
Network access
Unspecified
Filesystem access
Unspecified
Permissions declared
Not declared
Pattern
Single agent
Models
gpt-4oclaude-3-5-sonnetgpt-3.5-turbo