TormentNexus: Streaming live SQLite row-level mutations for AI agent observability

Short summary

TormentNexus streams real-time SQLite row-level mutations from WAL files to expose what AI agents actually write to databases, bypassing the aggregation that traditional observability platforms use. The article argues aggregate metrics hide critical issues like silent schema drift and stale embeddings in RAG pipelines. A case study shows how row-level visibility catches a catalog agent's schema migration bug that broke query agent results.

• •Streams live SQLite row mutations from WAL files instead of aggregated metrics
• •Argues traditional observability platforms hide AI-specific failure modes like schema drift
• •Case study demonstrates detecting a multi-agent schema migration bug causing RAG failures

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