feat: add efficiency regression metrics (calls, latency, tokens) (#114) - #149
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Track operational cost alongside correctness with relative deltas. Efficiency is informational only and never drives pass/fail alone. Co-authored-by: Abhinaysai Kamineni <askmy-stack@users.noreply.github.com>
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Summary
Implements #114 — efficiency regression metrics that track operational cost (tool calls, retries, latency, tokens, optional model cost) without replacing correctness in pass/fail.
Changes
tool_semantics.efficiencymodule:EfficiencyMetrics,compare_efficiency, aggregation, fixture loading, markdown## EFFICIENCYsection8→31, latency+94%) with configurable regression thresholdsappend_efficiency_sectionfor eval/probe reports when metrics existexamples/efficiency/sample_metrics.jsondocs/efficiency.md, link fromdocs/probes.mdTest plan
pytest tests/test_efficiency.pyruff check/mypyon new moduleCloses #114