Worked on the huggingface/trl repository to deliver integration of the Hugging Face Transformers backend for vLLM online serving. Developed backend features in Python to enable users to select and switch between model implementations, enhancing flexibility and scalability for online model serving. Updated documentation and setup scripts using Markdown and Python, streamlining the onboarding process and clarifying operational steps for users. The work focused on backend development and model serving, providing clear tooling and script arguments to facilitate the integration. No bugs were fixed during this period, with efforts concentrated on feature delivery and improving user experience for online serving workflows.