Rails instrumentation for RubyLLM

A RubyLLM provider that implements OpenAI's Responses API, providing access to built-in tools (web search, code interpreter, file search, shell, apply patch), stateful conversations, server-side compaction, containers API, background mode, and MCP support.

Load, validate, and integrate Agent Skills with RubyLLM. Supports the open Agent Skills specification for progressive skill discovery and loading from filesystem, zip archives, and databases.

RubyLLM::Template provides a flexible template system for RubyLLM, allowing you to organize chat prompts, system messages, and schemas in ERB template files for easy reuse and maintenance.

Tribunal provides tools for evaluating LLM outputs, detecting hallucinations, measuring response quality, and ensuring safety. Features deterministic assertions, LLM-as-judge evaluations, red team attack generation, and multiple output formats. A RubyLLM plugin inspired by the Elixir Tribunal lib...

AI on Rails. Compose, run, and test AI prompts using the familiar controller/view pattern.

Batch processing for pipelines of steps for AI. AgentC, get it?

AgentRuby is a Ruby library that allows you to create and manage workflows using LLMs (Large Language Models). It provides a simple and intuitive interface for defining tasks, managing dependencies, and executing workflows.

AgentRuby is a Ruby library that allows you to create and manage workflows using LLMs (Large Language Models). It provides a simple and intuitive interface for defining tasks, managing dependencies, and executing workflows.

Give an AI agent a disposable computer: run shell commands, read/write files, expose ports. Pluggable backends (Docker today, E2B/Cloudflare later).

The AI-Dev-Pipeline (AIDP) CLI provides a powerful, markdown-driven workflow for software development. It supports in-depth project analysis to understand existing codebases and an execution mode to systematically implement new features.

Reads schema + associations and generates realistic seed data using an LLM (via ruby_llm).

An advanced AI-powered git commit message generator. It leverages multiple AI providers including OpenAI, Anthropic, Google, and local models via Ollama to create meaningful and contextual commit messages. This gem streamlines the commit process, ensuring consistent and informative version contro...

An elegant Ruby SDK for building AI Ruby Agent that interact with both LLMs and system tools

A terminal-friendly interface for interacting with LLM models

Call LLMs from Axn actions using RubyLLM, with structured error handling, optional JSON mode, and cost/token tracking.

A minimal Ruby gem for building agentic AI applications using the ReAct (Reasoning + Acting) loop pattern

Production-grade coding agent with tool execution, middleware pipeline, context compaction, session persistence, and multi-provider LLM support.

A comprehensive Ruby SDK for interacting with Buda.com cryptocurrency exchange API with debugging, error handling, and comprehensive examples

A unified platform for knowledge, task management, and chat communication with AI Agents