Dev Tools · 1h ago
Spring AI Token Usage: Measure LLM Costs Before Choosing a Model
This article kicks off a four-part series on controlling LLM costs in Spring AI, starting with observability. It explains how to use Micrometer-based metrics to track token usage per feature, not just per model. The key insight: you can't cut costs you can't see, so instrument first.
Meridian48 take
The advice is sound but basic; most teams already have observability in place. The real value will come in later parts covering prompt engineering and caching.
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Spring AI Token Usage: Measure Cost Before You Pick a Model — LLM Cost Control 1/4 →
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