Optimizing LLM API Latency: Async, Streaming, and Pydantic in Production
Optimizing LLM API Latency: Async, Streaming, and Pydantic in Production I remember the sinking feeling in my stomach. It was late afternoon, and our monitoring dashboards, usually a soothing sea of green, had started to flash angry reds and oranges. Our users were reporting painfully slow response times, some even encountering timeouts. The core of the problem, I quickly pinpointed, was our interaction with external Large Language Model (LLM) APIs. What should have been near-instantaneous content generation was taking upwards of 10-15 seconds, sometimes more. This wasn't just a poor user experience; it was a ticking time bomb for our infrastructure costs, as longer request durations meant more concurrent instances and higher compute bills. This wasn't an isolated incident. As a lead developer, I've seen my fair share of production fires, but this one felt particularly insidious because the underlying issue wasn't immediately obvious. I was dealing with a distribute...
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