feat(evals): add offline TypeSafe replay harness - #883
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Signed-off-by: Clement Pakkam Isaac <cpakkamisaac@nvidia.com>
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Navigate logical layers of code changes, visualize relationships, and explore their blast radius. WalkthroughAdds an offline TypeSafe/Jev routing replay tool. The tool validates versioned JSON fixtures, computes routing and baseline metrics, and writes stable JSON output without provider calls. ChangesOffline TypeSafe/Jev replay
Priority: ➖ Normal Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: 🟡 Moderate · up to The evaluator rejects fixtures without optional cost measurements, preventing quality-only replay. Support missing costs before merging and reject Boolean schema versions. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Linked Issues checkExplanation The implementation satisfies the main
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Inline comments:
Review comments at @benchmark/typesafe_replay.py:
- Line 193: Update the outcome parsing around number_value so missing cost
measurements remain valid while quality evaluation proceeds. Represent
unavailable cost totals and deltas as null, and define tie-breaking behavior for
incomplete cost measurements; update the typesafe README to document these
behaviors.
- Line 89: Update the schema version validation around SCHEMA_VERSION to reject
Boolean values explicitly, since Python treats True as equal to 1. Preserve
acceptance of integer and floating-point versions equal to SCHEMA_VERSION,
including integral floats.
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📒 Files selected for processing (5)
benchmark/README.mdbenchmark/typesafe/README.mdbenchmark/typesafe/fixtures/synthetic-routing.jsonbenchmark/typesafe_replay.pytests/test_typesafe_replay.py
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Signed-off-by: Clement Pakkam Isaac <cpakkamisaac@nvidia.com>
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Addressed both review comments in d858a3e. Boolean schema versions are now rejected, and fixtures can omit cost measurements while retaining quality evaluation and deterministic tie-breaking. |
What
Why
The TypeSafe routing work has useful benchmark evidence, but no checked-in way to reproduce the decision calculations or compare a policy without credentials and additional model spend. This provides an offline evaluation boundary while remaining independent of the runtime implementation in #762.
Closes #882
Notes for reviewers
Start with
benchmark/typesafe_replay.pyandtests/test_typesafe_replay.py. The checked-in fixture is synthetic and deliberately excludes request text, credentials, provider response bodies, and error details.Validation:
No live provider calls were made.
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