Developed the WebSailor Model and Evaluation Toolkit within the Alibaba-NLP/DeepResearch repository, focusing on creating a reproducible benchmarking pipeline for natural language processing research. The work involved implementing the WebSailor model in Python, providing comprehensive setup instructions, and designing evaluation scripts to streamline model assessment. By provisioning relevant datasets and automating evaluation workflows, the toolkit enables rapid experimentation and data-driven model selection. Leveraging skills in data analysis, machine learning, and software development, the contribution enhanced the repository’s capabilities for end-to-end model evaluation, supporting efficient decision-making and facilitating reproducible research practices for future development and experimentation.