During August 2025, Dzhu319 focused on backend development and API integration for the safety-research/safety-tooling repository, addressing a reliability issue in the AnthropicChatModel. By restructuring the handling of the max_tokens parameter, Dzhu319 ensured that its value persisted across API retries by moving the pop operation outside the retry loop and reusing it within retries. This Python-based solution stabilized token budgeting, reduced response variability, and improved the consistency of chat interactions. The work demonstrated careful attention to traceability, with changes clearly documented in version control, and reflected a methodical approach to maintaining robust, predictable API behavior in production environments.