Test LLM outputs with Minitest-native assertions. LLM-as-judge for faithfulness, hallucination, bias, toxicity. Deterministic assertions (contains, regex, JSON). CI-native: GitHub annotations, JUnit output, cost tracking.

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

Define workflows as graphs of named steps with conditional routing, parallel execution, human-in-the-loop approval, per-item checkpointing loops, and sub-graph composition. Each step is a plain Ruby class.

Give anonymous visitors a durable identity with metered AI access: signed guest sessions, per-day turn/token budgets, single-use claiming of records into a real owner on sign-up, and stale-session retention. Framework-agnostic core with optional ActiveRecord and Rails adapters.

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

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.

Railtie, install generator, and helpers wiring a Rails app into ask-local's stable .localhost URLs: host authorization, Action Cable origins, Procfile $PORT rewrite, and an agent skill for local development.

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.

Provides framework-independent permission rules, policies, and approval queues for ask-rb agents and integrations.

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...

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...

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 mo...

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-harn...