agentic skills for academic demo#617
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Signed-off-by: vedika-saravanan <vsaravanan@nvidia.com>
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Description
Adds an academic CUDA-QX VQE/QAOA skill plus supporting evaluation tooling for comparing skill-guided answers against a no-skill baseline.
Changes
cudaq-academic-vqe-qaoaskill with install, VQE, QAOA, and metrics referencesevaluate_metrics.pyfor deterministic assertion-based scoringcompare_runs.pyfor initializing paired run files and comparing with-skill vs without-skill resultsrecord_responses.pyto simplify capturing multiline baseline responsesBASELINE_COLLECTION.mdwith clean baseline collection instructionsruns/are local validation artifacts and are gitignoredValidation
compare_runs.py initin a temporary directorycompare_runs.py compareagainst the initialized temp run files100%pass rate,21/21coverage, and0forbidden hitsNotes
Generated
.agents/evals/academic-vqe-qaoa/runs/*.json(codex_with_skill.json
codex_without_skill.json) files are not included in this PR because the
runs/directory is gitignored. They should be treated as local validation artifacts unless explicitly force-added for a validation snapshot.Token counts should be treated as approximate unless exact model usage metadata is present.
compare_runs.py,record_responses.py, andBASELINE_COLLECTION.mdare included as eval workflow tooling. This PR should contain only the skill and not the eval collection workflow, those helper files should be removed.Runtime / performance impact
Self-review checklist
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Scope and size
(if so, an issue has been raised).
Tests
just when it is missing.
EXPECT_*/assertchecks areinsufficient for algorithmic correctness.
Documentation
tracked.
Code style
snake_casevscamelCase) forthe area being modified.
Dependencies
OSRB tickets filed.