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EvalHarness
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sora
7f3c42d39c
Drop summary.md from outputs; reports switch to report.jsonl (header line + one sample per line, round-trip verified)
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Co-Authored-By: Claude <noreply@anthropic.com>
2026-09-10 10:40:00 +00:00
sora
6b3bb330c7
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
sora
4a15f80897
Add evaluation layer + visualization: extract/score/aggregate plugins, 28 recipes, official-aligned scorers (PRM800K math, DROP Hungarian EM/F1, SimpleQA A/B/C judge), report artifacts, console renderers, CLI eval/viz, regression tests
2026-08-24 06:09:38 +00:00