Provides Ask::Provider (abstract interface), Ask::Conversation, Ask::Stream, Ask::ModelCatalog, Ask::ToolDef, Ask::Result, and structured error types. Zero runtime dependencies.

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.

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.

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.

Railtie, AR session persistence, session factory, service gem discovery, and generators.

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.

Defines Ask::Tool (base class), Ask::Result, and tool discovery.

Bash, Read, Write, Edit, Glob, Grep, and Code tools for the ask-rb ecosystem.