Rust core for Entroly — information-theoretic context optimization (knapsack, entropy, dedup, SAST, query analysis)
Project description
entroly-core
Rust core for Entroly — information-theoretic context optimization for AI coding agents.
Provides high-performance PyO3 bindings for:
- Knapsack optimizer — 0/1 DP context selection within token budget
- Shannon entropy scorer — boilerplate detection, information density
- SimHash deduplication — near-duplicate fragment detection
- Query analysis — TF-IDF vagueness scoring, heuristic refinement
- SAST scanner — 30+ security rules (XSS, SQL injection, secrets, unsafe memory)
- LSH index — approximate nearest-neighbor semantic recall
- PRISM RL optimizer — online feedback-driven fragment weight learning
Install
pip install entroly-core
Prebuilt wheels for Linux, macOS, Windows (Python 3.10–3.13).
Usage
Usually used via the higher-level entroly package:
pip install entroly
entroly # starts the MCP server
Or directly:
from entroly_core import ContextFragment, py_knapsack_optimize, py_shannon_entropy
License
MIT
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