Worked on the HuanzhiMao/gorilla repository to deliver Novita AI integration, enabling support for three new large language models and expanding the platform’s inference capabilities. Focused on API integration and configuration management, the work included updating configuration files and model metadata with pricing information to facilitate cost-aware model selection. Leveraged Python and Markdown to expose new LLM models through an updated API, laying the foundation for multi-provider orchestration and reducing vendor lock-in. The approach emphasized extensibility, allowing for future model and provider additions, and improved flexibility for customers seeking broader model choices and optimized inference costs within the Gorilla ecosystem.