Guide
Reliable background execution and retries for Rails agents
LLM and tool calls are slow and flaky compared with typical request/response controllers. Production agents need background execution.
Updated 2026-07-28 · Rails Agent · Tiny Bubble Company
Direct answer
Rails Agent runs agent work through a hosted runtime with queueing and retries so long model calls and multi-step tool workflows do not block web requests or fail silently on transient errors.
Reliability patterns
- Enqueue agent runs instead of blocking HTTP
- Retry transient provider and network failures
- Surface permanent failures in traces
- Idempotent tools for safe retries
- Timeouts that match user channel expectations
Frequently asked questions
Should agent runs happen inside a web request?
Prefer background execution for anything beyond a short chat turn. Channels and tools often need more time than a request budget allows.
What makes retries safe?
Idempotent tools, clear run IDs, and traces so duplicate work is detectable.
Ship production Rails AI agents
Install rails-agent-stack, open /agents, and go from scaffold to deploy with Playbooks, memory, guardrails, and monitoring included.
Keep reading
Ruby on Rails AI agents →
Category pillar
Build AI agents in Ruby on Rails →
Implementation guide
Getting started docs →
Install and open /agents
Pricing →
Plans and runtime
Sidekiq-safe AI jobs →
Related guide
Background agents use case →
Product use case
Deploy AI agents in Rails →
Hosted runtime and go-live
Channels →
Where agents meet users