EvalHarness

History

sora 3be48addfc Thread the truncation tokenize: inline encode froze the event loop

assemble() runs the max_input_tokens truncation tokenizer inline in the
coroutine; longbench_v2's 2M-token docs take seconds of CPU per encode,
and each one BLOCKED the whole loop -- heartbeat frozen, gate probes
dead, zero HTTP while the process sat at 100% single-core. encode now
runs in a worker thread (loop stays live, encodes parallelize).

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

2026-09-15 02:26:15 +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)