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Observability

Make every intelligent-system run explainable through traces, metrics, costs, and evidence trails.

Normal application logs cannot explain an intelligent-system decision. A useful trace connects the original task with context retrieval, entity resolution, model inference, tool calls, policy evaluation, state changes, output, latency, cost, and errors.

Frontal's observability layer is designed around that complete execution record. Use it to investigate an individual run, compare versions, detect drift, and connect production signals back to evaluation.

Updated Aug 31, 2026

© 2026 Frontal Labs, Inc. or its affiliates.

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