tegwick
eee7722714
A stable agentic realization becomes deterministic code. All four exit criteria met; 163 tests pass. - crystallization.py: trajectory capture, stability assessment requiring the same path across several runs, CrystallizedDriver, pytest codegen - crystallized/test_grant_access.py: generated, runs with no model, carries its lineage in the docstring - descendant preserves the ancestor's oracle set, agrees with it across five lab versions, and still catches a seeded defect - reversibility shown both ways via new M24 (grant endpoint renamed): the frozen descendant fails loudly rather than searching, and the agentic ancestor recovers from the same mutation F-0007 (open): the 54% cost reduction must not be quoted in support of the thesis. The T07 runtime is token-free, so the measured saving is one page fetch, one parse and a two-candidate scoring pass. The saving the concept actually claims - tokens, latency, retry variance - is unmeasured. Together with F-0005 this makes a bounded live-model experiment the highest-value next investment. Assertions in the generated test are imported rather than restated, so it is not fully standalone. Deliberate: paraphrased claims would be a second unverified statement of intent. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Assistant: claude-code Assistant-Model: opus Assistant-Process: 1629012@bnt-lap001 Assistant-Session: 78d4fb13-8a1e-474b-87a3-9b9261c49a39
6 lines
265 B
Python
6 lines
265 B
Python
"""Generated deterministic regression tests. Do not edit by hand.
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Each file here is the frozen descendant of an agentic verification asset. Its
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provenance, ancestor and the number of identical realizations it was frozen from
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are recorded in its own docstring.
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"""
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