5 Commits

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
f2a914d0ff Performance profile: TTFT/ITL via SSE streaming (collect_perf flag), retries/http_status per request, pool success/retry/failure rates, perf_stats aggregator (P50/P95/P99 latency+ttft, tokens, retry_rate) in metric_groups['perf']; verified on fake SSE server 2026-08-27 02:45:51 +00:00
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
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
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