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dspy-ruby

A textless, stateless, serverless AI agent for automating workflows.

50|2|Updated Feb 8, 2026
Search Tags:#llm#observability#modules#ruby#signatures#dspy
One-click install
npx skills add https://github.com/roberto-mello/beads-compound-plugin --skill dspy-ruby-roberto-mello
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dspy-ruby
Source: https://github.com/roberto-mello/beads-compound-plugin/tree/main/plugins/beads-compound/gemini/skills/dspy-ruby
Command: npx skills add https://github.com/roberto-mello/beads-compound-plugin --skill dspy-ruby-roberto-mello

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

DSPy.rb brings software engineering discipline to LLM development by providing type-safe signatures, modular components, and production-ready tooling, enabling predictable prompts, testable workflows, and robust observability.

Core Features & Use Cases

  • Type-safe signatures using Sorbet types
  • Modular components (Predict, ReAct, CodeAct) and rich tooling
  • Provider adapters and fiber-local LM context for flexible model management
  • Observability, evaluation, and storage integrations for production-grade applications
  • Use cases include building complex agent systems, testing LLM-powered features, and evolving prompts with safety nets

Quick Start

Install the DSPy.rb gem, configure your LM, define a simple signature, and run a prediction.

Frequently Asked Questions about dspy-ruby

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build type-safe LLM applications in Ruby?▼

You can build type-safe LLM applications in Ruby using DSPy.rb, which enforces typed signatures with Sorbet and provides modular components for predictable prompt execution across complex workflows.

What is the best way to structure modular LLM workflows in Ruby?▼

The best way to structure modular LLM workflows in Ruby is using DSPy.rb's composable components like Predict, ReAct, and CodeAct, which enable predictable prompt execution and robust agent-based system development.

Can I use Sorbet types to enforce LLM prompt signatures in Ruby?▼

Yes, you can use Sorbet types to enforce LLM prompt signatures in Ruby with DSPy.rb, ensuring type safety and predictable outputs for your LLM-powered features and complex agent systems.

Does DSPy.rb provide observability and evaluation for production LLM applications?▼

Yes, DSPy.rb provides observability, evaluation, and storage integrations for production-grade LLM applications, enabling robust testing, monitoring, and prompt evolution with safety nets.

How do I manage different LLM providers in a Ruby application?▼

You manage different LLM providers in a Ruby application using DSPy.rb's provider adapters and fiber-local LM context, which allow flexible model management across your modular components.

What are the limitations of building agent-based systems without type safety?▼

Without type safety, building agent-based systems risks unpredictable prompts and untestable workflows, whereas DSPy.rb enforces typed signatures and modular composition to ensure production-grade reliability.

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