LLM API Cost Monitoring in .NET: Best Practices for Production
Quick Answer LLM API cost monitoring in .NET: Use a DelegatingHandler to capture usage.total_tokens, push to Prometheus, and run a background job for reconciliation—keeping latency <1 ms while ensuring accurate LLM cost tracking. Preventing Sudden Cost Spikes in .NET In a microservice that calls Azure OpenAI or Anthropic on‑demand, a single mis‑sized prompt can turn a $200/month bill into a…
The article discusses the importance of LLM API cost monitoring in .NET applications, particularly for production environments where cost volatility can be detrimental. It highlights the need for a DelegatingHandler to capture usage.total_tokens and push this data to Prometheus, allowing for background reconciliation while maintaining a latency of 1 ms. The author emphasizes that cost monitoring should be integrated into the request pipeline rather than treated as an afterthought.
The article also presents a real-world example of a SaaS company, SaaS-X, which experienced a 250% increase in billing due to a lack of proper monitoring during a traffic surge. The piece concludes by discussing trade-offs between granularity and overhead, accuracy versus simplicity, centralized versus distributed metrics, and alerting thresholds versus anomaly detection.
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