ConsoleAgent

Claude Code for your Rails Console.

irb> ai "find the 5 most recent orders over $100"
  Thinking...
  -> list_tables
     12 tables: users, orders, line_items, products...
  -> describe_table("orders")
     8 columns

  Order.where("total > ?", 100).order(created_at: :desc).limit(5)

Execute? [y/N/edit] y
=> [#<Order id: 4821, ...>, ...]

For complex tasks it builds multi-step plans, executing each step sequentially:

ai> get the most recent salesforce token and count events via the API
  Plan (2 steps):
  1. Find the most recent active Salesforce OAuth2 token
     token = Oauth2Token.where(provider: "salesforce", active: true)
                        .order(updated_at: :desc).first
  2. Query event count via SOQL
     api = SalesforceApi.new(step1)
     api.query("SELECT COUNT(Id) FROM Event")

  Accept plan? [y/N/a(uto)] a

No context needed from you — it figures out your app on its own.

# Gemfile
gem 'console_agent', group: :development

bundle install
rails generate console_agent:install

Set your API key in the generated initializer or via env var (ANTHROPIC_API_KEY):

# config/initializers/console_agent.rb
ConsoleAgent.configure do |config|
  config.api_key = 'sk-ant-...'
end

ai! starts a conversation. Slash commands available inside:

Prefix input with > to run Ruby directly (no LLM round-trip). The result is added to conversation context.

Say "think harder" in any query to auto-upgrade to the thinking model for that session. After 5+ tool rounds, you'll also be prompted to switch.

• Tool use — AI introspects your schema, models, files, and code to write accurate queries
• Multi-step plans — complex tasks are broken into steps, executed sequentially with step1/step2 references
• Two-tier models — defaults to Sonnet for speed/cost; /think upgrades to Opus when you need it
• Cost tracking — /cost shows per-model token usage and estimated spend
• Memories — AI saves what it learns about your app across sessions
• App guide — ai_init generates a guide injected into every system prompt
• Sessions — name, list, and resume interactive conversations (ai_setup to enable)
• History compaction — /compact summarizes long conversations to reduce cost and latency
• Output trimming — older execution outputs are automatically replaced with references; the LLM can recall them on demand via recall_output, and you can /expand <id> to see them
• Debug mode — /debug shows context breakdown, token counts, and per-call cost estimates before and after each LLM call

ConsoleAgent.configure do |config|
  config.provider = :anthropic       # or :openai
  config.auto_execute = false         # true to skip confirmations
  config.session_logging = true       # requires ai_setup
  config.model = 'claude-sonnet-4-6'  # model used by /think (default)
  config.thinking_model = 'claude-opus-4-6'  # model used by /think (default)
end

The default model is claude-sonnet-4-6 (Anthropic) or gpt-5.3-codex (OpenAI). The thinking model defaults to claude-opus-4-6 and is activated via /think or by saying "think harder".

The engine mounts a session viewer at /console_agent. By default it's open — you can protect it with basic auth or a custom authentication function.

ConsoleAgent.configure do |config|
  config.admin_username = 'admin'
  config.admin_password = ENV['CONSOLE_AGENT_PASSWORD']
end

For apps with their own auth system, pass a proc to authenticate. It runs in the controller context, so you have access to session, request, redirect_to, etc.

ConsoleAgent.configure do |config|
  config.authenticate = proc {
    user = User.find_by(id: session[:user_id])
    unless user&.admin?
      redirect_to '/login'
    end
  }
end

When authenticate is set, admin_username / admin_password are ignored.

Ruby >= 2.5, Rails >= 5.0, Faraday >= 1.0

MIT