dailyai.report

Apple researchers developed a method to generate agent training trajectories using only API specifications. The approach uses LLMs as digital world models to simulate stateful environments, bypassing the need for executable backends. This removes a primary bottleneck in scaling API-calling agents by eliminating the requirement for fully implemented test environments.