sora 1da665fec4 Add --limit-per-task (per-subset cap, evalscope --limit semantics; composable with --limit as intersection); execution-bench parity verified: official human-eval core 5/5 == our docker sandbox on same completions

2026-08-25 05:18:23 +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

Drop logprob scoring path entirely; MCQ = strict-letter generation (evalscope parity 'ANSWER: X'), few-shot defaults stay; fix output.py duplication

2026-08-25 02:26:26 +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

output.py

Drop logprob scoring path entirely; MCQ = strict-letter generation (evalscope parity 'ANSWER: X'), few-shot defaults stay; fix output.py duplication

2026-08-25 02:26:26 +00:00

runner.py

Add --limit-per-task (per-subset cap, evalscope --limit semantics; composable with --limit as intersection); execution-bench parity verified: official human-eval core 5/5 == our docker sandbox on same completions

2026-08-25 05:18:23 +00:00