Adds a copilot provider to RubyLLM. Prompts are piped to the GitHub Copilot CLI's stdin and its JSON events are read back from stdout, so the agent (with its own tools, MCP servers and resumable sessions) can be used wherever RubyLLM expects a model, e.g. `--model copilot/default` in aia.

Adds Groq provider support to RubyLLM.

Use the models hosted by Infomaniak AI Tools in Switzerland (Kimi, Qwen, Apertus, Mistral, ...) through RubyLLM: chat, streaming, tools, structured output, thinking, images and embeddings.

Adds LM Studio provider support to RubyLLM via LM Studio's OpenAI-compatible local server, with model listings enriched from LM Studio's native REST API.

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 Ruby client for the Model Context Protocol (MCP) that seamlessly integrates with RubyLLM. Connect to MCP servers via SSE or stdio transports, automatically convert MCP tools into RubyLLM-compatible tools, and enable AI models to interact with external data sources and services. Makes using MCP ...

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.