Emits ActiveSupport::Notifications events for chat completions, embeddings, tool calls, and image generation. Works with any LLM provider. Subscribe to events for cost tracking, logging, analytics, or alerting.

Provides authenticated GraphQL client, context metadata, and error guide for AI agents working with the Linear API.

Supports OpenAI, Anthropic, Google Gemini + Vertex, Amazon Bedrock, Ollama (local), Mistral AI, and Cloudflare Workers AI + AI Gateway. One gem, all the models you need.

Connect to MCP servers via stdio, SSE, and Streamable HTTP transports. Run as an MCP server exposing any Ruby object as a tool. Discover tools, resources, and prompts. OAuth 2.1 authentication.

Rails engine that provides real-time monitoring for LLM usage. Cost tracking, throughput metrics, error rates, response times. Slack alerts. Real-time updates via Hotwire Turbo. Works with any ask-rb provider via ask-instrumentation events.

Provides authenticated Notion client, context metadata, and error guide for AI agents.

Adds OpenTelemetry tracing to ask-rb LLM operations. Subscribes to ask-instrumentation events and creates spans for chat completions, embeddings, tool calls, and more.

Document loaders, text splitters, vector stores, and retrieval queries for building RAG applications with ask-rb.

Rails generators, file conventions, and railtie for using ask-agent in Rails apps.

Rails Engine that mounts an admin AI agent at /ask. Ships Rails-aware tools (QueryDatabase, ReadModel, ReadLog, RunCommand, SchemaGraph, RouteInspector, RunTests), session persistence, audit logging, environment permissions, and service gem discovery. Previously developed as ask-rails (0.1.0–0.11.1).

Mount an MCP endpoint in your Rails app that exposes SchemaGraph, QueryDatabase, ReadModel, RouteInspector, and all other ask-rails-harness tools as MCP tools. Coding agents like Claude Code, Cursor, or any MCP-compatible client can connect to inspect your schema, query your database, read models, and more.

Mount an MCP endpoint in your Rails app that exposes SchemaGraph, QueryDatabase, ReadModel, RouteInspector, and all other ask-rails tools as MCP tools. Coding agents like Claude Code, Cursor, or any MCP-compatible client can connect to inspect your schema, query your database, read models, and more.

Harness for AI coding agents working in any Ruby project. Ships a language-agnostic tool contract (RunCommand, ReadLog, QueryDatabase, ReadModel, SchemaGraph, RunTests) with structured returns, read-only DB enforcement, environment permissions, and audit logging. The Rails edition (ask-rails-harness) adds framework-native tools on top.

Exposes the ask-ruby-harness tools (QueryDatabase, ReadModel, ReadLog, RunCommand, SchemaGraph, RunTests) as MCP tools for any Ruby project. Coding agents like Claude Code, Cursor, or any MCP-compatible client can connect to query the database, inspect models, read logs, run commands, and run tests with structured results.

Isolated code execution via Local (subprocess + rlimits), Docker (containers), Daytona (remote sandboxes), and Cloudflare (Workers sandbox). Zero external runtime dependencies.

A compact Ruby DSL for building standards-oriented JSON Schema documents. Zero dependencies.

Error context for agents via Sentry for the ask-rb ecosystem.

Discovers, validates, and formats agent skills from project directories, user config, and installed gems. Ships built-in skills (codebase exploration, debugging methodology). Each skill is a markdown file with step-by-step instructions that the agent loads on demand.

Provides authenticated Slack client helper, context metadata, and error guide for AI agents.

Error context for agents via SolidErrors for the ask-rb ecosystem.