AI solutionsShared across all subject areas

Inference Observability & Telemetry

Instrumentation of latency, token consumption, error rates, cache performance and quality signals in production.

Description

Operational monitoring of model usage as distinct from evaluation of output quality: end-to-end latency including gateway and retrieval, token consumption by component, error and retry rates, cache hit rate.

When it fits

Every production deployment.

When it does not fit

Not applicable, though what is captured must respect the sensitivity of prompt content.

Governance requirement

Telemetry capturing prompt or response content inherits the sensitivity of the source data. Redaction belongs in the capture path, not the dashboard.

Characteristic failure

Measuring only the provider's reported generation time, which excludes gateway, retrieval and queueing — most of what the user actually experiences.

Example

A p95 latency of nine seconds where the provider reports two, the remainder being retrieval and a cold gateway connection.

AI solution components4
  • End-to-End Latency Instrumentation
  • Token & Cost Telemetry
  • Redaction at Capture
  • Quality Signal Correlation
AI opportunity solutions

Deliberately empty

Two different absences share this shape. Foundational solutions get built whatever the domain, so no domain links them; the rest are solutions this domain genuinely does not reach for. v_ai_solutions_unlinked separates the two.