Code & Development · GitHub ·43 ★

ruby_llm-tribunal

LLM evaluation framework for Ruby, powered by RubyLLM. Tribunal provides tools for evaluating and testing LLM outputs, detecting hallucinations, measuring response quality, and ensuring safety. Perfect for RAG systems, chatbots, and any LLM-powered application.

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Details

Author
Alqemist-labs
Category
Code & Development
Platform
GitHub
Framework
custom
Language
ruby
Stars
43
First indexed
2026-05-15
Last active
2026-04-09
Directory sync
2026-05-15
@Alqemist-labs

Overview

LLM evaluation framework for Ruby, powered by RubyLLM. Tribunal provides tools for evaluating and testing LLM outputs, detecting hallucinations, measuring response quality, and ensuring safety. Perfect for RAG systems, chatbots, and any LLM-powered application.

Quick start

git

git clone https://github.com/Alqemist-labs/ruby_llm-tribunal

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

What ruby_llm-tribunal can do

frameworkllmragtest
  • Framework — framework task automation.
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Test — test task automation.

Frequently asked questions

What is ruby_llm-tribunal?
LLM evaluation framework for Ruby, powered by RubyLLM. Tribunal provides tools for evaluating and testing LLM outputs, detecting hallucinations, measuring response quality, and ensuring safety. Perfect for RAG systems, chatbots, and any LLM-powered application.
How do I install ruby_llm-tribunal?
Use git: `git clone https://github.com/Alqemist-labs/ruby_llm-tribunal`. Full setup details on the source page linked above.
Is ruby_llm-tribunal open source?
ruby_llm-tribunal is published on GitHub.
What are alternatives to ruby_llm-tribunal?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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