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Author SHA1 Message Date
ruoxi_sun
09b2add673 fingerprint: integrate fp_fusion model fingerprint benchmark 
New evalharness/fingerprint/ package (from evalstone fp_fusion v1.1,
2026-09-07 pruning final): probe battery -> concurrent collection ->
five scoring views (verify/attribution/variant/adversarial/robustness),
bundled family aliases + 27 reference fingerprints (12 fp_fusion schema).

- CLI: 'evalharness fingerprint run ...' (REMAINDER passthrough, single
  source of arg definitions) + 'fingerprint list' for bundled references
- imports rewritten package-relative; direct 'python3 run_fp_fusion.py'
  execution kept working via package bootstrap
- offline analysis/collection scripts made path-independent (previously
  pinned to a /opt/evalscope path absent on this host)
- shell scripts: hardcoded API key -> FP_API_KEY/OPENAI_API_KEY env vars
- --reference accepts short names resolved against bundled references/
- pyproject: +httpx dependency, package-data references/*.json
- tests/test_fingerprint.py: 10 offline tests (battery definitions,
  assembly counts, normalization, signals, verdict ladder, CLI wiring)
- README: fingerprint section + architecture entry

Verified on H20-1: tests 10/10, installed CLI OK, full-protocol run vs
vectron GLM-5.3 reproduces baseline (score 0.9451, s_idn 0.846).
 2026-09-11 03:52:21 +00:00
sora
5af8e2a7fd Pluginize the run shell: @register_progress (rich/plain), @register_theme, @register_hook (on_benchmark_failed/done), @register_prober; CLI gains --progress-plugin/--theme 
Co-Authored-By: Claude <noreply@anthropic.com>
 2026-09-11 03:26:19 +00:00
sora
7f3c42d39c Drop summary.md from outputs; reports switch to report.jsonl (header line + one sample per line, round-trip verified) 
Co-Authored-By: Claude <noreply@anthropic.com>
 2026-09-10 10:40:00 +00:00
sora
4aa3385345 README: new output directory layout 
Co-Authored-By: Claude <noreply@anthropic.com>
 2026-09-10 10:31:58 +00:00
sora
044523f97e README: cache-dir default + directory layout tree in cache section 
Co-Authored-By: Claude <noreply@anthropic.com>
 2026-09-10 10:09:41 +00:00
sora
9991c15816 README rewritten in evalscope style (numbered flow, code-first, 289->190 lines); config entry points: --hf-endpoint flag, ckpt follows cache root, EVALHARNESS_DOCKER_MIRRORS override 
Co-Authored-By: Claude <noreply@anthropic.com>
 2026-09-10 07:27:19 +00:00
sora
5bb4b75b07 Rename --judge to --judge-model (alias kept) for symmetry with --model 
Co-Authored-By: Claude <noreply@anthropic.com>
 2026-09-10 06:52:31 +00:00
sora
c78b0d6f0f Add --api-key/--judge-api-key: explicit keys override env resolution, never serialized 
Explicit key flows only into request headers (adapter attribute / pool
member), so it cannot leak into the spec string, EvalReport, or logs --
verified by scanning a report produced with a sentinel key. Two-key
setups run twice with different --api-key, or use per-host env vars.

Co-Authored-By: Claude <noreply@anthropic.com>
 2026-09-10 06:50:18 +00:00
sora
ad1cd18f04 Add --judge-provider flag; document key resolution rules (env per host, judge included) 
Co-Authored-By: Claude <noreply@anthropic.com>
 2026-09-10 06:45:26 +00:00
sora
08605d9ab2 CLI flag symmetry: --judge-api-url split; mock-boxed hyphen names 
- --judge now accepts a bare model name paired with --judge-api-url,
  mirroring --model/--api-url; full legacy specs keep working
  (_compose_judge_spec, verified: name+url -> spec, spec passthrough,
  empty -> None; end-to-end on simple_qa with a live judge endpoint)
- mock adapter spellings: mock-boxed / mock-oracle / mock-fc preferred,
  colon forms still accepted; bare 'mock' stays echo
- fix mock adapter singleton mode pollution: resolve_adapter memoizes
  one instance, so mock-boxed then mock in one process leaked the
  boxed mode into the echo run -- each mock spec now builds a fresh
  instance
- README: mock-boxed in examples, judge flags row updated

Co-Authored-By: Claude <noreply@anthropic.com>
 2026-09-10 06:43:27 +00:00
sora
ea93602dfa Unified, nicer result tables + conda env setup in README 
- cli: rich Run Summary table for multi-benchmark runs (green/red rows,
  fallback to aligned plain text); unified _fmt_score (fractions render
  as percentages everywhere -- was 1.0 in summary vs 100.0% in detail);
  fix the stray "summary csv -> None/viz/..." print without --out-dir;
  summary.md upgraded to a proper table with model/timestamp/ok-count
  header -- one table for a whole N-benchmark run
- text renderer: single-bench headline deduped (dataset==recipe) and
  compacted to one facts line; adaptive metric-name column (long names
  no longer break alignment)
- md_compare: auto-switches to one-row-per-benchmark when comparing
  different benchmarks with different metrics; same-bench model
  comparison gains baseline delta markers (+/- percentage points)
- README: conda create/activate in the install block

Co-Authored-By: Claude <noreply@anthropic.com>
 2026-09-10 06:30:22 +00:00
sora
27cf8b3c7e Usability round: progress plugin, CLI provider flags, top-level run(), vendored BFCL checker 
- progress/: Rich per-sample terminal progress plugin (Run Plan panel,
  in-flight/rate/ETA bar); shared console + log-through-live to avoid
  interleaved writes, rollback() pairs begin_sample on the retry path,
  begin moved inside the semaphore (in-flight = actually generating),
  graceful degradation when rich is absent
- cli.py: --provider/--api-url/--model composition (openai-chat |
  openai-pool), --disable-thinking/--perf/--textools as first-class
  flags, per-bench phase lines and done/failed result lines
- __init__: top-level run()/arun() entries (event-loop safe for notebooks)
- third_party/bfcl: vendored official BFCL ast_checker + type mappings
  (Apache-2.0, provenance in __init__.py); imports rerouted locally,
  underscore_to_dot parameterized; verified bit-identical with the
  bfcl-eval package on 100 real rows -- removes the heavy extra
  (pinned numpy + cloud SDK wall) from the install path
- runner: progress/status hooks through generate+evaluate, checkpoint
  key scheme fix (empty-store falsy bug), tiered retry backoff,
  multi-segment pool {range} expansion fix, adapter-instance passthrough
- pyproject: tree_sitter family joins core deps; [bfcl] extra retired
- README: rewritten (zh) -- install/quickstart/flags reference/bench
  table/reliability/extension/architecture/validation

Co-Authored-By: Claude <noreply@anthropic.com>
 2026-09-10 05:46:45 +00:00
sora
46bef7d3dd dp4-flash 28-bench alignment: renderer plugin layer, exec_workers, gen_profiles, AIMD pool, BCB/LCB/bfcl/gfc judge fixes 
Co-Authored-By: Claude <noreply@anthropic.com>
 2026-09-08 05:55:04 +00:00
sora
89e721414f Simplify install: light deps (datasets/pyarrow/sympy/pylatexenc/numpy/scipy) are DEFAULT; single [bfcl] extra for the heavy official checker 2026-08-25 02:51:55 +00:00
sora
b2e7133b20 Add sandbox layer (docker exec hard-isolation + serve envs, refcounted acquire/release, atexit teardown, bind-mount sharing) and agent evaluation driver (message pump drive(), Trajectory, bfcl_mock env with official call-sequence scoring, mock:fc oracle); Deployer delegates to sandbox.serve_env; code_any extractor fixes indentation-stripping; CLI --env 2026-08-24 07:11:03 +00:00
sora
6b3bb330c7 Add model layer: async ModelAdapter (openai_compatible + mock) returning structured ModelOutput(text,tool_calls,usage), Deployer registry (vllm/sglang docker-pinned via models.yaml, external), async run_eval generate->score, CLI --model, agent-ready SampleResult.trajectory/env_state, tests 2026-08-24 06:28:00 +00:00
sora
4a15f80897 Add evaluation layer + visualization: extract/score/aggregate plugins, 28 recipes, official-aligned scorers (PRM800K math, DROP Hungarian EM/F1, SimpleQA A/B/C judge), report artifacts, console renderers, CLI eval/viz, regression tests 2026-08-24 06:09:38 +00:00
sora
f8cd15fea1 EvalHarness data layer: 28 dataset plugins, lazy materialize cache (raw/ + samples.jsonl + meta.json), ModelScope native loader, CLI list/fetch/unload/stats/show 2026-08-24 03:35:11 +00:00