Chujun Tang developed a new Prompt Evaluation Command for the vllm-project/semantic-router repository, enabling users to assess how prompts interact with the vLLM Semantic Router and retrieve detailed evaluation results. The work focused on building a robust CLI tool in Python, integrating with the existing API to support prompt validation and signal analysis. Chujun emphasized error handling and unit testing to ensure reliability and maintainability. By updating both CLI and API documentation, Chujun improved usability for end users. The feature delivered a complete end-to-end workflow for prompt evaluation, enhancing debugging and decision-making for prompt routing without introducing new bugs.