AI Infrastructure · PyPI

llm-reasoning-quality

A multi-dimensional behavioral framework for evaluating LLM reasoning quality beyond accuracy

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Details

Author
Ali Şenol
GitHub profile
@senolali
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/senolali/LLM-Reasoning-Quality-Evaluation-Metrics
Framework
unknown
Language
python
Stars
0
First indexed
2026-06-06
Last active
—
Directory sync
2026-06-06
@senolali

Overview

A multi-dimensional behavioral framework for evaluating LLM reasoning quality beyond accuracy

Quick start

pip

pip install llm-reasoning-quality

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What llm-reasoning-quality can do

llmreasoning
  • Llm — llm task automation.
  • Reasoning — Works through multi-step problems with explicit logic.

Frequently asked questions

What is llm-reasoning-quality?
A multi-dimensional behavioral framework for evaluating LLM reasoning quality beyond accuracy
How do I install llm-reasoning-quality?
Use pip: `pip install llm-reasoning-quality`. Full setup details on the source page linked above.
Is llm-reasoning-quality open source?
llm-reasoning-quality is published on PyPI.
What are alternatives to llm-reasoning-quality?
Comparable agents include awesome, openclaw, superpowers. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for llm-reasoning-quality is sourced from PyPI, published by Ali Şenol.

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