Worked on the aliasrobotics/cai repository to enhance backend reliability by developing a retry mechanism for handling transient OpenAI API timeouts. Focused on Python-based API integration and robust error handling, the solution automatically attempts up to three retries before failing, reducing service disruptions during temporary outages or throttling. This approach ensures that the system maintains higher uptime and business continuity by gracefully managing litellm.Timeout exceptions within the run_cai_cli workflow. All changes were thoroughly documented and linked to a specific commit for traceability, reflecting a methodical engineering process centered on operational resilience and maintainability in production environments.