EvalHarness

History

sora 1fd0dcbdbb Summary table: 'cached' instead of a misleading ~0s time

Tokens are cumulative (they include restored predictions' usage) while
time was this-run wall -- fully replayed benches showed 0s in the same
column, reading as broken. run_info now carries gen_fresh; a bench with
zero fresh generations renders its time cell as 'cached' (tokens keep
showing the true cumulative investment).

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

2026-09-15 10:01:09 +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

Contain terminal sample failures; 240s stream first-byte timeout

2026-09-15 04:39:51 +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)