Using TypeSafe’s Jev for evals in Datadog Agent Observability

TypeSafe AI has released Jev, a tool designed to provide fast and cost-effective decision-making for evaluation pipelines by returning structured, probabilistic answers instead of explanatory text. By using specific question types to return confidence scores, Jev allows developers to efficiently monitor production performance and run offline experiments. This approach enables more sophisticated error handling, such as routing low-confidence results to human reviewers for further inspection.