The Threat to AI Agents: LLMs Are Being Deprecated in Just 6 Months. Why and How to Prepare

This Habr article analyzes a critical challenge for AI agent developers: the short lifecycle of LLM models. The authors note that providers like Anthropic and Google frequently discontinue support for specific model versions, leaving developers with only 28 to 182 days to migrate. Research based on 17,703 repositories shows that hardcoding specific Model IDs creates significant risks for production stability. The article details the reasons behind frequent model deprecations in 2026 and suggests architectural approaches for building resilient applications. The main conclusion is the need for abstractions that allow switching between models without emergency code refactoring. The authors emphasize that preparing for model changes should become a standard MLOps practice to prevent service disruptions when provider APIs are updated.