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A Lyapunov‑stability monitor that detects token spirals and classifies failure patterns in multi‑turn LLM agents without extra LLM calls

Python Latest v0.3.0 · 1mo ago Security brief →

Features

  • Detects context accumulation spirals, retry storms, policy drift, early explosions, and budget exhaustion
  • Classifies failure patterns with confidence scores and provides actionable fix suggestions
  • Operates via a Lyapunov energy function using token‑usage metrics – no additional LLM invocations

Recent releases

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About

Stars
16
Forks
2
Languages
Python Rust Shell

Install & Platforms

Install via
pip
Platforms
linux macos windows arm64

Beta — feedback welcome: [email protected]