fix(ai): raise dep floors to first releases with Python 3.14 wheels - #2
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numpy/pandas/scikit-learn/matplotlib/pyzmq/pydantic/aiohttp used three-part `~=X.Y.0` pins that locked the minor below the first release shipping cp314 wheels. On Python 3.14 (Arch) pip fell back to building these from source; numpy 1.26 crashed on import (SIGILL), failing `zypheron install-deps`. Bumps (verified resolvable + importable in a clean 3.14 venv): numpy 1.26 -> ~=2.2 (2.4.6) pandas 2.2 -> ~=2.3 (2.3.3, held <3 to avoid pandas 3.0 API break) scikit-learn 1.6 -> ~=1.7 (1.9.0) matplotlib 3.9 -> ~=3.10 (3.11.0) pyzmq 26.2 -> ~=27.0 (27.1.0) pydantic 2.10 -> ~=2.11 (2.13.4; 2.10 pinned pydantic-core 2.27, no wheel) aiohttp 3.11 -> ~=3.12 (3.14.1) Only ml/vulnerability_predictor.py uses these (numpy basics + sklearn); APIs stable across the bumps. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Problem
zypheron install-depsfails on Arch (Python 3.14). Seven deps used three-part~=X.Y.0pins that lock the minor below the first release shipping cp314 wheels, so pip built them from source — numpy 1.26 then crashed on import (SIGILL), aborting install.Fix
Raise floors to first wheel-bearing releases. Verified resolvable + importable in a clean 3.14 venv.
~=1.26.0~=2.2~=2.2.0~=2.3(held <3, avoid 3.0 break)~=1.6.0~=1.7~=3.9.0~=3.10~=26.2.0~=27.0~=2.10.0~=2.11~=3.11.0~=3.12Safety
Only
ml/vulnerability_predictor.pyuses these (numpy basics + sklearnRandomForestClassifier/TfidfVectorizer); APIs stable across the bumps. pandas not imported in app code.🤖 Generated with Claude Code