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
73 lines
2.6 KiB
Python
73 lines
2.6 KiB
Python
"""Crystallized regression test — generated, do not edit by hand.
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Lineage
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-------
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ancestor asset : va-grant-via-browser
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ancestor maturity: T1
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descendant : va-grant-crystallized (T5 Deterministic)
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frozen from : 4 identical realizations
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surface version: lab-0.2.0-baseline
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generated : 2026-08-22
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Why this file exists
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--------------------
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An agent discovered this path 4 times running and it did not change. The
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search is now waste, so it has been frozen. **No model is involved in running
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this test.**
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The realization below is plain HTTP with no framework dependency. The assertions
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are imported from the originating use case rather than restated — a generated
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test that paraphrases its assertions creates a second, unverified statement of
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intent, and drift between the two would be silent. See F-0007 for what that
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costs.
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If this test starts failing, the correct first response is **not** to update the
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selectors. Re-run the agentic ancestor: if it recovers, the surface moved and
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this file should be regenerated; if it does not, the behaviour changed and that
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is a finding.
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"""
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from __future__ import annotations
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import urllib.error
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import urllib.parse
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import urllib.request
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from scenarios.alice_bob_carol import _bob_can_read, _bob_cannot_write, _carol_cannot_read
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TARGET = '/resources/R/grant'
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FIELDS = {'permission': 'READ', 'subject_id': 'bob'}
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def _post(base_url: str, token: str, path: str, fields: dict) -> int:
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request = urllib.request.Request(
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urllib.parse.urljoin(base_url, path),
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data=urllib.parse.urlencode(fields).encode(),
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method="POST",
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headers={
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"Authorization": f"Bearer {token}",
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"Content-Type": "application/x-www-form-urlencoded",
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},
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)
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try:
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with urllib.request.urlopen(request, timeout=10) as response:
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return response.status
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except urllib.error.HTTPError as error:
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return error.code
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def realize(base_url: str, token: str) -> int:
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"""Perform grant_access deterministically, exactly as the agent learned to."""
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return _post(base_url, token, TARGET, FIELDS)
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def test_grant_access(crystallized_world):
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"""grant_access still works, and the claims it protects still hold."""
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base_url, token, observe = crystallized_world
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assert realize(base_url, token) < 400, "the frozen realization no longer works"
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snapshot = observe()
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assert _bob_can_read(snapshot), 'Bob can read R after the grant'
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assert _carol_cannot_read(snapshot), 'Carol can never read R'
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assert _bob_cannot_write(snapshot), 'A READ grant does not let Bob write R'
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