Cutting LLM Calls in Incident Triage: Sliding Windows, Log Reduction, and a pgvector Cache
A Kafka-to-WebSocket pipeline where the model is the last resort, not the first step. The problem The obvious way to add an LLM to log monitoring is to send logs to a model and ask what is wrong. That breaks quickly. Most log lines are not errors. During an outage, the same error repeats thousands…
Read the full story at DEV Community — AI ↗
Timeline · 1 report
- 2026-11-01 17:03 · DEV Community — AI
Cutting LLM Calls in Incident Triage: Sliding Windows, Log Reduction, and a pgvector Cache