Tools: Why I stopped calling LLM APIs directly and built an Infrastructure Protocol

Last month, my OpenAI bill hit $520. When I looked at the logs, 30% of that was people asking the same "getting started" questions over and over. I was paying for the same tokens twice, and my users were waiting 2.5 seconds for a response that I already had in my database. That was my "Aha!" moment. I replaced my standard OpenAI client with the Nexus SDK. The first time I saw a 200 OK - 5ms (CACHE HIT) in my terminal, I realized the 'AI Bubble' isn't about the models—it's about the infrastructure protecting our margins. Primary CTA: Star us on GitHub: [https://github.com/ANANDSUNNY0899/NexusGateway Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink. Hide child comments as well For further actions, you may consider blocking this person and/or reporting abuse - The $500 Wake-up Call: Why raw API calling is a financial liability.
- The "Infrastructure Maturity" Shift: Moving from wrappers to gateways.
- The 5ms Victory: How I used Go and Redis to make LLM responses feel like a local file read.
4.** Sovereign Privacy:** Why "Sovereign Shield" redaction is a must for any enterprise app.
- Universal SDKs: Announcing the official launches of pip install nexus-gateway and npm i nexus-gateway-js.
- Conclusion: Why "Tokens as COGS" is the future of AI engineering.