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Parallel probes, result caching, cost tracking, and scale benchmarks #100

Description

@cursor

Summary

Performance harness for large catalogs, optional parallel probe workers, model-result caching, and optional cost tracking.

Milestone

Performance / cost (P3)

Suggested labels

enhancement, priority:p3, area:probes, tests

Acceptance criteria

  • Benchmark script/docs for snapshot/diff/probe times at 10/100/500/1000/5000 tools
  • --workers N (or config) for parallel probe execution with deterministic ordering in reports
  • Cache key: model + prompt/tools hash + snapshot hash + temperature + seed
  • Optional cost/token summary when provider metadata present
  • Unit tests for cache hit/miss; perf numbers not gated flaky in PR CI

Related

  • Discovery testing; multi-model matrix

Activity

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