Open-Source Bello Framework Cuts Codex API Usage by Two-Thirds While Improving Code Quality

An open-source framework called Bello is allowing developers to cut their OpenAI Codex subscription usage by 66.3% while achieving higher-quality code, through intelligent orchestration of multiple AI models rather than relying on a single coder. The tool, released as a free Python project on GitHub, runs auxiliary models—a runtime supervisor, completion reviewer, adversary tester, and a locally-executed log distiller—around a primary coder to filter redundant API calls and validate results before they incur quota costs.