Worked on stabilizing the Chat Template Evaluation Harness within the stanford-crfm/levanter repository, focusing on improving test reliability for chat-like requests. Addressed a specific bug by ensuring that requests are formatted using the tokenizer’s chat template and that generated prompts are longer than the original context, aligning the harness with intended evaluation scenarios. The solution was implemented in Python, leveraging skills in Natural Language Processing and testing to validate correct formatting and reduce false negatives in test results. No new features were introduced during this period, as efforts centered on code quality, correctness, and maintaining low-risk, well-documented changes.