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Ask Lumen eval: first recording (21/30 correct, 28/30 honest) - #90

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coderconnoisseur merged 1 commit into
refactorfrom
feat/ask-lumen-eval-recording
Oct 20, 2026
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coderconnoisseur merged 1 commit into
refactorfrom
feat/ask-lumen-eval-recording

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@coderconnoisseur

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First recording of the Ask Lumen eval: the 30 audit questions, Groq openai/gpt-oss-120b. The owner typed the key into a local password dialog; it isn't in the repo, the cassette or the logs (checked: no gsk_, Authorization or Bearer in the cassette).

Result (replays offline with no key)

  • 21/30 correct, 5 partial, 28/30 honest
  • 63 model calls, p50 2.4 s / p95 4.0 s per call, ~5.5K tokens per question
  • Gates fail (honesty 30, correctness 24): this is the baseline the next fixes have to beat.

What failed

  • Honesty, L07 and C24: the model writes its native citation markers 【…】 instead of Lumen's format. L07 even cited the right document with the right date. A citation-format fix should take honesty to 30/30.
  • Wrong: L11 (missing 70,000), C26 (missing September/October).
  • Partial: L05 (StreamFlix), L08 (income), C23 (tax right, didn't say "2026-27"), C27 (SkyTel phone vendor), C28 (24 Oct).

Also

Tests: backend 901 passed, 15 skipped. Note: running only tests/*eval*.py together gives one failure (test_eval_agent_suites.py:50, a KeyError from test ordering); clean refactor fails the same way, and the full suite passes.

… no longer crashes printing non-ASCII on Windows
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vercel Bot commented Oct 20, 2026 •

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Project Deployment Actions Updated
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@coderconnoisseur
coderconnoisseur merged commit 4af7e1f into refactor Oct 20, 2026
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