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Nexa-gauge

AI Coding Tools

A Python package and CLI toolkit for graph‑based, cache‑aware evaluation of LLM and RAG outputs with cost estimation, caching, and structured reports

Python Latest v0.1.18 · 1d ago Security brief →

Features

  • Graph‑based pipeline that only executes needed nodes
  • Cost estimation before running billable LLM calls
  • Cache‑aware runs to avoid duplicate model invocations
  • Structured JSON per‑case reports for CI and analytics

Recent releases

View all 16 releases →
No immediate action
v0.1.18 Breaking risk

refalign node + refmatch rename

No immediate action
v0.1.17 New feature

per‑node scoring contract

No immediate action
v0.1.16 New feature

GEval scoring modes

No immediate action
v0.1.15 Breaking risk

Canonical field name changes

No immediate action
v0.1.14 Bug fix

Model cache disambiguation

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About

Stars
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Forks
12
Languages
Python Makefile Shell

Install & Platforms

Install via
pip

Beta — feedback welcome: [email protected]