Adds Qiniu (Modelink) provider support to RubyLLM.

Typed judgments and reranking with the TypeSafe Jev model through RubyLLM.

A RubyLLM plugin that enables local LLM execution using the Red Candle gem. Run quantized GGUF models directly in Ruby without external API calls. Supports streaming, structured output, and multiple model architectures including Gemma, Llama, Qwen, Mistral, and Phi.

Cache RubyLLM responses based on semantic similarity, not exact string matching. Reduces costs and latency by returning cached responses for semantically equivalent queries.

Route messages to specialized RubyLLM chat agents based on semantic similarity using embeddings and kNN lookup

Provides an adapter to integrate RubyLLM with Sequel ORM.

A RubyLLM extension that groups named coworkers and exposes delegation tools so a model can hand tasks and questions to teammates. Built on the RubyLLM public API: Tool, Agent, Message, and Attachment.

Intuitive one-liner utility methods for common LLM tasks like text summarization, translation, data extraction, classification, grammar correction, sentiment analysis, key point extraction, text rewriting, and question answering.

ruby_llm-toolbox bundles filesystem, shell, web, git, and data tools as ready-to-use RubyLLM::Tool subclasses. One require loads everything; read-only tools are on by default while mutating/exec tools are gated behind explicit config. Tool output is token-budgeted via ruby_llm-tokenizer.

A RubyLLM plugin that integrates Top Secret to automatically filter sensitive information from LLM interactions.

Adds a :typesafe provider to RubyLLM 2 that evaluates text or structured state against TypeSafe's typed Choice, Noul, and Score questions through Chat#with_schema. Structured output only: answers are calibrated probabilities, not generated text.

Automatically report AI agent health, response times, and model info to your ups.dev status page.

A RubyLLM extension for Voyage embeddings, reranking, contextualized chunks, and files.

LLM powered business intelligence. Build SQL reports using natural language.

A mixin that gives any Ruby class the ability to generate and install methods at runtime via an LLM. Describe what you want in plain English and get a working method back.

SharedTools provides a collection of reusable common tools for Ruby applications using ruby_llm gem.

An agent framework where your Rails app is the chassis: app/agent/ directory convention, durable runs on Active Job Continuations, exactly-once tool execution via a transactional ledger, approvals that park at zero compute.

Stop writing code, let LLMs slop it for your at boot time

A Rails Engine wrapping SmarterCSV for CSV importing with three-tier AI header matching (lookup + vector similarity + LLM fallback), batch processing, and import tracking. Only headers are sent to AI — row data never leaves your application.

Smith is a workflow-first multi-agent orchestration library built on RubyLLM. It provides state machine modeling, typed contracts, budget enforcement, guardrails, and observability for agent workflows.