Worked on improving the stability and correctness of the openai/openai-java repository by addressing a critical bug related to deployment model parameter handling. Focused on backend development using Kotlin and API integration skills, the work involved ensuring that client requests consistently honored the specified deployment model across both asynchronous and blocking response services. This targeted code change reduced the risk of misrouting and runtime errors during model deployment, enhancing reliability for users configuring deployments. No new features were introduced during this period, with efforts concentrated on refining existing functionality and maintaining robust parameter propagation throughout the service implementations for consistent behavior.