EvalHarness

History

sora d83c2cc1df Serialize tokenizer first load; one-shot degradation warning

96 worker threads racing transformers 5.x lazy imports on the FIRST
_get_tokenizer call raised ImportError and degraded that whole first
batch to the char approximation (the old single-threaded path never
raced). First load now holds a threading.Lock; the transformers
'>model_max_length' logging is silenced inside truncation (counting a
2M-token doc before trimming it is the point), and the per-sample
degradation print becomes a one-shot warning.

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

2026-09-15 02:49:34 +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

Auto-stream on huge INPUT too (longbench_v2 ReadTimeout fix)

2026-09-15 02:07:18 +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)