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2 changes: 2 additions & 0 deletions docs/evaluation.md
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Expand Up @@ -12,6 +12,8 @@ agent run → trajectory (run_id) → evaluate → reports/<run_id>.json
Re-scoring from saved trajectories is first-class: re-run with a
different scorer or judge model without re-invoking the agent.

For deterministic scoring of structured answers such as JSON objects, tuple lists, and count-only outputs, see [Static JSON Evaluation](static-json-evaluation.md).

## Concepts

The vocabulary follows MLflow's evaluation split:
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