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COMPEL Glossary / sli-slo-for-ai
SLI/SLO for AI
Service-level indicators and objectives for AI systems — including evaluation score, per-task cost, and goal-achievement rate alongside classical availability/latency.
What this means in practice
Unlike traditional SLOs, AI SLOs must account for non-deterministic output quality and drift; their design is itself an architectural artefact.
Synonyms
AI SLI , AI SLO , GenAI service-level objectives
See also
- Observability for AI — The set of telemetry — prompt/response capture, retrieval traces, tool-call records, token-cost metrics, and evaluation signals — that makes an AI system operable and auditable.
- TTFT (time-to-first-token) — The latency from request submission to the first streamed output token.
- Goal-achievement rate — An agent service-level indicator measuring the fraction of tasks that reach their intended outcome without human intervention.
- Per-task cost — An agent SLI capturing the full compute and API cost of a single task end-to-end — including all loop iterations, tool calls, memory reads and writes.