Codex multiple agents make up for Luna: Sol is the manager, cheap models work in batches

Comparing the news, according to monitoring, OpenAI added a practical ability to Codex's multi-agent feature: Sol can now directly assign tasks to Luna. For example, let Sol, the most powerful, take charge of the demolition task and final inspection, and let multiple faster and cheaper LUNAs work in parallel. Previously, Codex already supported one agent to call multiple sub-agents, which also allowed different models to divide labor. However, Luna has special restrictions. She can only perform tasks on her own, and cannot be directly brought into the team by an upper level agent like Sol. This time OpenAI lifted that restriction. OpenAI also now clearly recommends this division of labor. Sol is suitable for complex, open-ended tasks, while Luna is suitable for clear and repetitive tasks such as searching, organizing, extracting, and categorizing. One is responsible for brainstorming and acceptance, and one group is responsible for batch execution.