"body": "Last month our team hit a wall with our LLM inference pipeline. We were running multiple instances of large models for different products, and the GPU costs were spiraling out of control. After spending two weeks rebuilding our inference architecture, I wanted to share the approach that worked for us – specifically around API compatibility and routing strategies.\n\n* The Problem: * We were vendor-locked into a single provider. Every time we wanted to test a new model variant (like DeepSeek-V4-Pro for our code generation tasks), we had to rewrite significant portions of our integration layer.\n\n* The Solution – Universal OpenAI-Compatible Routing: \n\nWe built a lightweight proxy layer that normalizes all requests to the OpenAI chat completions format. The real breakthrough came when we discovered providers offering high-performance inference endpoints that follow this standard natively.…