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78054c1161
* Make Vally the sole LLM eval engine, retiring skill-validator evaluate Collapses the parallel skill-validator + Vally eval pipeline into a single Vally-only path while preserving every capability skill-validator provided: PR gate, PR comment, dotnet/skills-data historical push, and the dashboard. The skill-validator `check` linter is retained (skill-check.yml) pending microsoft/vally #463. - evaluation.yml: delete build-validator and the skill-validator `evaluate` job; single `evaluate:` job now uses vally-evaluation.yml. Forward the COPILOT_PAT_0..9 pool onto it (from #911) so the reusable workflow's token gate is satisfied. Rewire comment-on-pr / report-status / publish-* / deploy-dashboard onto `evaluate` and vally-results-* artifacts. - vally-evaluation.yml: pin @microsoft/vally-cli@0.9.0; keep the #911 prepare guard; write the generated per-plugin experiment to $GITHUB_WORKSPACE so relative eval globs resolve. - adapt.mjs: reconcile #887's runCompareWithRetry + conclusive/unmatched hardening with the consolidation helpers (nonActivation, compareByStim, roleToDashboard, etc.). Add consolidate.mjs and gen-experiment.mjs. - build-replay-sessions.ps1: read Vally executor-session-logs/events.jsonl instead of skill-validator session output. - Rename all tests/*/*/eval.vally.yaml to eval.yaml (Vally format is now the only eval format); author Vally evals for the four skills that lacked one. - CONTRIBUTING.md + InvestigatingResults: point contributors at the Vally harness; drop non-public links. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix setup-local-sdk eval for Vally schema The hand-authored setup-local-sdk eval used skill-validator grader/environment schema that Vally rejects at validation (no stimuli executed): - file-contains/file-not-contains graders require 'value:' not 'substring:' (output-contains correctly keeps 'substring:'). - environment.files entries require 'src:'/'dest:' (copy a fixture) rather than inline 'path:'/'content:'. Moved the global.json body into fixtures/global.json. Verified with 'vally lint --eval-spec' (0 errors) across all 97 eval.yaml. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix markdownlint violations in migration docs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review feedback on eval migration - Consolidate run-vally-evals.sh into a single neutral entrypoint eng/run-skill-evals.sh (deletes the thin wrapper; adapt.mjs stays in eng/vally-adapter/ since CI invokes it directly) - Rename reusable workflow vally-evaluation.yml -> evaluation-run.yml and update all references/self-trigger regexes - Rename local output dir vally-results -> eval-results - Bake prerequisite preflight (Node 20+, GITHUB_TOKEN/gh) into the runner - Simplify CONTRIBUTING "Running tests locally" prerequisites - Scrub harness name from consumer-facing surfaces Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Reinstate overfitting detection under the Vally harness Overfitting detection previously ran inside skill-validator's `evaluate` command, which the Vally migration replaced, so it silently stopped running. Reinstate it as a standalone step wired into the Vally pipeline: - Add `skill-validator overfitting` command that discovers skills, parses each eval.yaml, runs the existing OverfittingJudge, and emits [{plugin, skill, overfittingResult}] JSON (per-skill failures non-fatal, bounded parallelism). - Add a Vally-format parser bridge (ParseEvalConfigFlexible) so the judge handles the current stimuli/graders eval.yaml format; the legacy scenarios-only parser rejected all 98 evals, so the judge never ran. - adapt.mjs: merge overfitting results onto each verdict via --overfitting <file> (keyed by plugin/skill); output is byte-identical when the flag is absent. - evaluation-run.yml: build skill-validator (shared cache with check), run the judge per leg reading GITHUB_TOKEN, and pass --overfitting to adapt.mjs so the dashboard/skills-data consume it unchanged. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Reconcile #919 Vally eval configs into the sole eval.yaml convention PR #919 landed on main adding fresh Vally specs for three coverage-gap skills (setup-local-sdk, convert-blazor-server-to-webapp, dotnet-webapi) under the interim eval.vally.yaml filename. This branch collapses to a single Vally spec named eval.yaml, so the merge left each skill with both my migrated eval.yaml and #919's newer eval.vally.yaml (a git-clean but semantic duplicate the pipeline would not discover). Adopt #919's reviewed Vally content as the canonical eval.yaml for all three skills and drop the redundant eval.vally.yaml files, preserving the 'sole eval.yaml, zero eval.vally.yaml' invariant. Content is byte-identical to #919's blobs (b14121c6/47d43823/18a9362f), which already passed vally-evaluate on main. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
39 lines
2.0 KiB
YAML
39 lines
2.0 KiB
YAML
name: microbenchmarking
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description: Evaluates the dotnet-diag/microbenchmarking skill
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type: capability
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config:
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timeout: 10m
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stimuli:
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- name: Investigate runtime upgrade performance impact
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prompt: >
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Your team is upgrading the codebase from .NET 9 to .NET 10. You have been asked to benchmark AverageWordLength,
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WordLengthHistogram, and UniqueWordCount to check how the upgrade will impact their performance. The source code
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is in the TextAnalyzer subdirectory (TextAnalyzer.cs and TextAnalyzer.csproj). We don't need anything too
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comprehensive, don't spend more than 10 minutes on this. Don't worry about cleaning up any files or projects you
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create along the way. Note: this machine may be under load from other processes. If the .NET 9 runtime is missing,
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install it using the official dotnet-install script from https://dot.net/v1/dotnet-install.sh (or
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dotnet-install.ps1 on Windows).
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environment:
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files:
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- src: .
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dest: .
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graders:
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- type: file-contains
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config:
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path: "**/*.csproj"
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value: BenchmarkDotNet
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- type: file-exists
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config:
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path: "**/*-report*.md"
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- type: prompt
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rubric:
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- "The benchmarks follow best practices: methods return their results to prevent dead code elimination, input data
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is stored in fields/properties rather than const or literal values, and initialization/data setup is in a setup
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method not inside the benchmark methods"
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- The agent let NuGet resolve the BenchmarkDotNet version rather than writing one from memory
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- The benchmarks were actually run and completed, producing results that compare .NET 9 vs .NET 10
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- The agent correctly identified that AverageWordLength and WordLengthHistogram got significantly faster on .NET
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10 (expected ~2-3x faster), while UniqueWordCount showed no meaningful change
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- The agent completed the task efficiently within the time constraints rather than spending excessive time on
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unnecessary iterations or troubleshooting
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