Production AI Broke Because of a Model Deprecation — So I Built llm-model-deprecation

Introduction Have you ever deployed an AI app, only to find it suddenly broken because OpenAI or Gemini deprecated a model you were using? 😱 I did and it cost me hours of debugging, late-night panic, and a ton of lost productivity. Upgrading libraries when prod is down is no fun! If you’re building apps on LLMs like OpenAI, Anthropic, or Gemini, model deprecations aren’t just annoying. they’re dangerous. That’s why I created llm-model-deprecation, a lightweight Python library that alerts you before an LLM model disappears. The Problem LLM APIs evolve quickly: OpenAI retires older GPT-3.5 models. Gemini might tweak endpoint parameters without notice. Anthropic occasionally removes older Claude versions. If your production app depends on hardcoded model names, one day your API calls will start failing. Common consequences: Broken chatbots Failed recommendation engines Nightmarish debugging sessions How I Solved It Instead of checking docs manually or waiting for an unexpected failure, I