
Nevan Wichers contributed to the safety-research/safety-tooling repository by delivering two backend features focused on fine-tuning workflows and API integration. He enhanced the Together AI fine-tuning integration by parameterizing evaluation runs, centralizing WANDB configuration, and refactoring logging to streamline data management using Python. In addition, Nevan implemented a configurable base URL for the OpenAI Moderation API, allowing deployments to target self-hosted or alternative endpoints, which improved flexibility and testability. His work demonstrated skills in API integration, configuration management, and backend development, with careful attention to reproducibility, deployment options, and maintainability across evolving machine learning infrastructure.

July 2025 monthly summary for safety-tooling. Key feature delivered: OpenAI Moderation API Base URL Customization, enabling specification of a custom base URL for the OpenAI moderation API to support self-hosted or alternative endpoints. This enhances deployment flexibility and testability across environments. No major bugs fixed this month. Overall impact: increased configurability reduces vendor lock-in, improves deployment options, and supports safer testing of moderation flows. Technologies/skills demonstrated: API integration design, configurable constructor parameters for external services, attention to backward compatibility and deployment considerations.
July 2025 monthly summary for safety-tooling. Key feature delivered: OpenAI Moderation API Base URL Customization, enabling specification of a custom base URL for the OpenAI moderation API to support self-hosted or alternative endpoints. This enhances deployment flexibility and testability across environments. No major bugs fixed this month. Overall impact: increased configurability reduces vendor lock-in, improves deployment options, and supports safer testing of moderation flows. Technologies/skills demonstrated: API integration design, configurable constructor parameters for external services, attention to backward compatibility and deployment considerations.
In June 2025, delivered key enhancements to the Together AI Fine-Tuning integration within safety-tooling, improving configurability, data management, and developer experience. The work focused on parameterizing evaluation runs, fixing an output naming bug, refactoring logging to remove local wandb logging, and updating environment guidance to include WANDB_API_KEY, enabling smoother fine-tuning workflows.
In June 2025, delivered key enhancements to the Together AI Fine-Tuning integration within safety-tooling, improving configurability, data management, and developer experience. The work focused on parameterizing evaluation runs, fixing an output naming bug, refactoring logging to remove local wandb logging, and updating environment guidance to include WANDB_API_KEY, enabling smoother fine-tuning workflows.
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