sora ff5d40aad5 Read timeout 300→600s base (GLM gateway 30+s startup on 100k+ token inputs) ...

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

2026-09-11 09:24:16 +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

Read timeout 300→600s base (GLM gateway 30+s startup on 100k+ token inputs)

2026-09-11 09:24:16 +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)

2026-09-11 07:48:41 +00:00

output.py

Performance profile: TTFT/ITL via SSE streaming (collect_perf flag), retries/http_status per request, pool success/retry/failure rates, perf_stats aggregator (P50/P95/P99 latency+ttft, tokens, retry_rate) in metric_groups['perf']; verified on fake SSE server

2026-08-27 02:45:51 +00:00

pool.py

Add --api-key/--judge-api-key: explicit keys override env resolution, never serialized

2026-09-10 06:50:18 +00:00

probers.py

Pluginize the run shell: @register_progress (rich/plain), @register_theme, @register_hook (on_benchmark_failed/done), @register_prober; CLI gains --progress-plugin/--theme

2026-09-11 03:26:19 +00:00

prompt_renderers.py

dp4-flash 28-bench alignment: renderer plugin layer, exec_workers, gen_profiles, AIMD pool, BCB/LCB/bfcl/gfc judge fixes

2026-09-08 05:55:04 +00:00

runner.py

Restored checkpoint predictions' usage counted in totals (was 0 for fully-restored benches); token stats now correct on resume

2026-09-11 08:27:55 +00:00

truncation.py

Token-level middle truncation (ported from evalside run.py: head+tail 128k, mrcr message-window); max_input_tokens param; perf fields (ttft/itl/status/retries) verified persisted in checkpoints

2026-08-27 03:23:33 +00:00