Open-source tool distills AI models for cheaper agent deployment

World-model-optimizer (wmo) is an open-source tool that distills large frontier models into smaller, specialized ones for agent tasks. It routes repetitive queries to the distilled model, cutting costs by over 40% while maintaining quality. The tool continuously improves models from agent traces and offers a hosted solution.