eval(bakeoff): shared driver for the #1269 model bake-off - #1282
Merged
Merged
Conversation
2 tasks done
jasonssdev
force-pushed
the
eval/1269-bakeoff-driver
branch
from
October 2, 2026 22:59
438f950 to
60fcbef
Compare
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
The shared driver the #1269 pre-registration requires before the first bake-off run.
evals/only; no model was run.1. Latency and identity stamping (all eight harnesses in the run plan)
query_attributionstoreselapsed_sper answer andrun_latencies_sper run;decision_revisionswraps its client in a timer and storescall_latencies_s/run_latencies_s;edge_typing,contradictionsandadjudicationpersist the per-run latencies they already collected. Old stored rows still load.evals/harness_stamp.pyadds a"stamp"to every runs JSON: harness commit and dirty flag, model name and Ollama digest (loopback/api/tagsonly), andsha256(prompt)[:16]per prompt sent (ids likecontradiction/system), read after any treatment swap. The definition matches feat: keep LLM prompts in one folder, one file each, versioned by content hash #1277's prompt hash and production'sSUBJECT_PROMPT_VERSION/JUDGE_PROMPT_VERSION(asserted in the self-test).query_sufficiencygains--arms quote, so the bake-off pays only for the shipped prompt.2.
evals/bakeoff/bakeoff_spec.py: candidates and every bar as data, each citing the pre-registration comment.bakeoff_bars.py: "no worse than baseline", vetoes, the waiver for bars the baseline already fails, the no-headroom rule, the knockout.bakeoff_metrics.py: one extractor per harness; on stored results they reproduce the pre-registered baselines (edge accuracy 0.357, attribution 0.933, B1–B8 pass, auto_merge FAIL).bakeoff_ollama.py: license, native-context andollama psmemory gates, loopback only, never pulls.run_bakeoff.py:--plan,--run,--evaluate-only,--self-test; resumable (done cells skipped, failed retried); the second baseline session only runs in a later invocation; an unworked adjudication queue blocks rather than drops a candidate; Write takes the top 2 Generate survivors.evals/bakeoff/README.md.Related issue
Refs #1269
Type of change
feat— new featurefix— bug fixdocs— documentation onlyrefactor— no behavior changetest— tests onlychore/ci— tooling, build, or CIHow was this tested?
edge_typing, both imports kept).ruff check,ruff format --check,mypy .andevals/run_self_tests.py(52/52) pass on the rebased tree;pytest --covpassed before the rebase (96.46%) and runs in CI.Checklist
ruff,mypy,pytest).