Developed and delivered the OpenAI Codex GPT-5.4 Runtime Metadata Handling feature for the moltbot/moltbot repository, focusing on improving model integration reliability and token budgeting. The work involved refactoring provider hooks to shift runtime preference logic, ensuring accurate reflection of context window and token limits within the application. Comprehensive tests were implemented to validate runtime metadata preferences across various workspace scenarios, reducing context-related issues in production. Leveraging TypeScript and full stack development skills, the developer aligned runtime metadata handling with workspace directory management, resulting in more robust and predictable GPT-5.4 model behavior and improved maintainability of the codebase.