StopLoss: Teaching Agents to Predict Failure and Stop Early

StopLoss is a small external monitor that learns to predict verification failure by training on completed trajectories and their outcomes. By labeling local windows of tool steps, a fine-tuned model can score recent actions in a single forward pass to abort failing runs early, reducing compute costs for GPT and Claude agents.