During November 2025, Lior developed comprehensive security guardrails for the BerriAI/litellm repository, focusing on protecting large language model applications from prompt injection, harmful content, and unsafe file uploads. Leveraging skills in backend and API development with JavaScript and Python, Lior designed and implemented file sanitization, system prompt controls, and automated testing to ensure robust protection and maintainability. The work included detailed documentation and extensive test coverage, supporting enterprise deployment requirements for safety and compliance. By prioritizing security engineering and disciplined review, Lior’s contributions enhanced the repository’s production readiness and addressed critical risks in LLM application environments.