Filtering and trimming messages Guide
Filtering and trimming messages Review Now, we have a deeper understanding of a few things: * How to customize the graph state schema * How to define custom state reducers * How to use multiple graph state schemas Goals Now, we can start using these concepts with models in LangGraph! In the next few sessions, we'll build towards a chatbot that has long-term memory. Because our chatbot will use messages, let's first talk a bit more about advanced ways to work with messages in graph state.
When to use Filtering and trimming messages
Filtering and trimming messages Review Now, we have a deeper understanding of a few things: * How to customize the graph state schema * How to define custom state reducers * How to use multiple graph state schemas Goals Now, we can start using these concepts with models in LangGraph! In the next few sessions, we'll build towards a chatbot that has long-term memory. Because our chatbot will use messages, let's first talk a bit more about advanced ways to work with messages in graph state.
How to use Filtering and trimming messages
Filtering and trimming messages 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