sora 20e9b87248 Probe success line as a full sentence: model name, endpoint, response time, pool size, and what happens next ...

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

2026-09-11 02:49:06 +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

Progress bar keeps its own elapsed/ETA clock (rich's columns freeze on cross-benchmark task reuse); in-flight shows current sample's elapsed; adaptive read timeout scales with the generation budget (32k-token CoTs were timing out at the fixed 300s and retrying forever -- the 'hang')

2026-09-10 11:36:19 +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

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

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

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

Probe success line as a full sentence: model name, endpoint, response time, pool size, and what happens next

2026-09-11 02:49:06 +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