RubyLLM::Agents — Rails Engine for Production Agents

Main

• Keep agents as application code: define agents as classes with a DSL and treat them like any other Rails component (jobs/models/routes).

• Use the built-in “doctor” task to validate provider keys and configuration before shipping the dashboard to prod.

• Gate spend early: README highlights cost analytics and budget controls; set budgets per environment or tenant before onboarding users.

• Use evaluation + alerts as your feedback loop: README lists evaluation and alerting features to keep quality measurable over time.

Source-backed notes

• README Quick Start shows installing via Gemfile + rails generate ruby_llm_agents:install + rails db:migrate.
• README shows verifying setup via rails ruby_llm_agents:doctor and generating a demo agent.
• README lists requirements (Ruby >=3.1, Rails >=7.0) and highlights observability (cost/tokens/duration/errors).

FAQ

• Do I need a database?: Yes — Quick Start includes rails db:migrate and the dashboard relies on persisted execution data.
• Which providers are supported?: README states it works through RubyLLM and names OpenAI, Anthropic, Gemini, and others supported there.
• How do I verify my install?: Run rails ruby_llm_agents:doctor as shown in README.