5 Ways I Reduced My OpenAI Bill by 40%

When you first start using LLMs in your product, the costs seem manageable. But as you scale, they can quickly become one of your biggest expenses. A few months ago, my OpenAI bill was getting out of hand. I knew I had to do something about it. After a few weeks of focused effort, I managed to cut my monthly LLM spend by over 40%. Here are the five most impactful changes I made. Caching is Your Best Friend This one might seem obvious, but it's amazing how many people don't do it. I found that a significant number of my API calls were for the exact same prompts. I set up a simple Redis cache to store the results of common prompts. If a prompt is already in the cache, I just return the cached response instead of hitting the OpenAI API. This is especially effective for things like summarizing the same article for multiple users, or for common customer support questions. It's a quick win that can save you a surprising amount of money. In my own application, I have a feature that generates