EvalHarness

History

sora 420c18c574 Retarget the bar to 0/N the moment scoring starts

The scoring phase only reset the bar on the first judged sample; until
then the stale GENERATION state (100%, +N new) stayed on screen --
through multi-minute image-pull preflights it read as 'already done'
while nothing was scored yet.

Co-Authored-By: Claude <noreply@anthropic.com>

2026-09-17 02:53:56 +00:00

__init__.py

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

adapter.py

--reasoning-effort: control thinking intensity (verified honored)

2026-09-16 03:36:03 +00:00

deployer.py

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

gen_profiles.py

gen_profiles.yaml moved to evalharness/config/ (search path added); /data2/hf_home deleted (8.6G freed)