Agents8h ago
Active Inference Optimizes AI Agent Context Acquisition
A new framework uses active inference to balance the cost of clarifying questions against the risk of incorrect assumptions. The system minimizes expected free energy to decide whether to request more data or act. This approach optimizes token spend during Optimal Question Asking. Practitioners can use this to reduce redundant tool calls in agentic workflows.