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dspy-ruby

Develop LLM applications in Ruby using DSPy.rb with type-safe signatures.

461|129|Updated Jan 26, 2026
Search Tags:#ai#llm#framework#modules#programmatic#ruby#dspy
One-click install
npx skills add https://github.com/davekilleen/Dex --skill dspy-ruby-davekilleen
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dspy-ruby
Source: https://github.com/davekilleen/Dex/tree/main/.claude/plugins/compound-engineering/skills/dspy-ruby
Command: npx skills add https://github.com/davekilleen/Dex --skill dspy-ruby-davekilleen

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill empowers developers to build sophisticated LLM-powered applications in Ruby by providing a structured, programmatic framework (DSPy.rb) that replaces manual prompt engineering with type-safe code.

Core Features & Use Cases

  • Type-Safe Signatures: Define clear input/output contracts for LLM operations.
  • Composable Modules: Build reusable, chainable components for complex workflows.
  • Multiple Predictor Types: Utilize Predict, ChainOfThought, ReAct, and CodeAct for diverse tasks.
  • LLM Provider Configuration: Seamlessly integrate with OpenAI, Anthropic, Gemini, Ollama, and OpenRouter.
  • Multimodal Support: Process images alongside text.
  • Testing & Optimization: Write RSpec tests and use optimization techniques to improve LLM performance.
  • Observability: Integrate with OpenTelemetry and Langfuse for monitoring.
  • Use Case: Develop a customer support chatbot in Ruby that classifies incoming emails, extracts key information, and generates personalized responses, all managed through DSPy.rb modules.

Quick Start

Configure DSPy.rb to use the OpenAI GPT-4o-mini model with your API key.

Frequently Asked Questions about dspy-ruby

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

FAQPage Schema
How do I build LLM applications in Ruby without manual prompt engineering?▼

You can build LLM applications in Ruby programmatically using DSPy.rb to define type-safe signatures and composable modules, replacing manual prompt engineering with structured code.

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

The best way to structure complex LLM workflows in Ruby is using composable modules with predictor types like ChainOfThought and ReAct to chain tasks and ensure predictable AI features.

Does DSPy.rb work with Anthropic and Gemini models?▼

Yes, DSPy.rb works with Anthropic, Gemini, OpenAI, Ollama, and OpenRouter, allowing you to seamlessly configure and integrate various LLM providers into your Ruby application.

Can I process images alongside text in a Ruby LLM application?▼

Yes, you can process images alongside text in your Ruby LLM application using DSPy.rb's multimodal support features, enabling vision capabilities within your defined programmatic modules.

How do I test and optimize LLM performance in a Ruby application?▼

You can test and optimize LLM performance in a Ruby application by writing RSpec tests and applying automated optimization techniques provided by the DSPy.rb framework to improve predictability.

How do I monitor LLM calls and observability in Ruby?▼

You can monitor LLM calls and observability in Ruby by integrating DSPy.rb with OpenTelemetry and Langfuse to track performance and gain visibility into your programmatic LLM operations.

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