Do Proactive Agents Need an LLM to Decide When to Act?
The research addresses how proactive agents should decide when to use an expensive Large Language Model (LLM) for action. Instead of calling the LLM constantly, a new graph-first approach uses a lightweight Temporal-Graph Learning model to filter events. This model predicts whether an intervention is needed and which entities are relevant, only invoking the LLM when the initial filter passes.