Streaming Review In module 2, covered a few ways to customize graph state and memory. We built up to a Chatbot with external memory that can sustain long-running conversations. Goals This module will dive into human-in-the-loop, which builds on memory and allows users to interact directly with graphs in various ways. To set the stage for human-in-the-loop, we'll first dive into streaming, which provides several ways to visualize graph output (e.g., node state or chat model tokens) over the course of execution.
Autonomy
Semi-autonomous
Sandbox-aware
No declared sandbox guidance
Network access
Unspecified
Filesystem access
Unspecified
Permissions declared
Not declared
Pattern
Autonomous loop
Models
gpt-4oclaude-3-5-sonnetgpt-3.5-turbo