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cf464c2296
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feat: initial architecture specification and research
Phase 0→1 setup for alknet-firewall — a behavioral signal detection
library that screens untrusted LLM inputs using small model activations.
Architecture docs (5 specs, 10 ADRs, 7 open questions):
- overview: vision, scope, dependencies, package structure
- firewall: core API, alarm protocol, score composition, error handling
- codebook: SVD basis, spline distributions, calibration, tensor format
- model: activation extraction, model-agnostic interface, lazy loading
- configuration: thresholds, model selection, detection tuning
Research reports:
- modern-python-project-setup: uv, pyproject.toml, src layout, ruff, CI
- python-ml-packaging: optional PyTorch, HF Hub download, safetensors
- llm-input-safety-landscape: threat taxonomy, defenses, academic evidence
Agent role adaptations for Python project (replaced Rust conventions).
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2026-06-13 05:17:40 +00:00 |
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