Streaming Guide
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.
When to use Streaming
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.
How to use Streaming
Streaming is a autonomous loop 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