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dspy-ruby

Builds LLM applications in Ruby with type-safe signatures and modular workflows.

3|1|Updated Jan 15, 2026
Search Tags:#testing#llm#modules#ruby#signatures#dspy
One-click install
npx skills add https://github.com/i3ringit/antigravity-cortex --skill dspy-ruby-i3ringit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dspy-ruby
Source: https://github.com/i3ringit/antigravity-cortex/tree/main/.agent/skills/dspy-ruby
Command: npx skills add https://github.com/i3ringit/antigravity-cortex --skill dspy-ruby-i3ringit

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

DSPy.rb provides a Ruby-centric framework to program LLMs by defining type-safe signatures and modular workflows, replacing scattered ad-hoc prompts with maintainable code-based contracts.

Core Features & Use Cases

  • Type-safe Signatures: Define input/output contracts with runtime validation to guard LLM outputs.
  • Composable Modules: Build pipelines by chaining signatures and modules to implement complex tasks.
  • Provider Configuration & Multimodal Support: Configure OpenAI, Google Gemini, Ollama, and other providers; support multimodal inputs via DSPy::Image where available.
  • Testing & Observability: Easy RSpec tests, VCR fixtures, and instrumentation for monitoring and observability.
  • Agent Systems with Tools: Create agents that utilize tools via ReAct-style patterns for external data.

Quick Start

Install the DSPy.rb gem and a provider adapter, configure a provider with your API key, create a signature class, implement a module, instantiate it, and call forward to run an LLM-driven task.

Frequently Asked Questions about dspy-ruby

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

FAQPage Schema
How do I program LLMs safely in Ruby with type-safe contracts?▼

DSPy.rb lets you define type-safe signatures that act as input/output contracts for LLM calls, replacing ad-hoc prompts with maintainable, validated code. Install the DSPy.rb gem, configure a provider like OpenAI or Gemini, create a signature class with typed fields, and forward calls through modules to enforce runtime validation.

Can I build modular LLM pipelines by chaining multiple signatures in Ruby?▼

Yes. DSPy.rb supports composable modules that chain signatures and other modules into complex workflows. Define each signature as a building block, implement modules that orchestrate them, and instantiate the pipeline to run multi-step LLM-driven tasks with shared state and validation across stages.

What LLM providers does DSPy.rb support?▼

DSPy.rb supports OpenAI, Google Gemini, Ollama, and other providers through adapter gems like dspy-openai and dspy-gemini. Configure each provider with your API key, and switch between them by changing the provider instance without rewriting your signatures or modules.

How do I test LLM modules in Ruby with DSPy.rb?▼

DSPy.rb integrates with RSpec and supports VCR fixtures for recording and replaying LLM responses. Write tests that call your modules, capture outputs with VCR, and validate the results against expected signatures. This enables deterministic testing without repeated API calls.

Can I create agents with external tools using DSPy.rb?▼

Yes. DSPy.rb supports agent systems using ReAct-style patterns where agents decide when to invoke tools. Define tool signatures, wire them into your module logic, and let the LLM decide tool usage to solve tasks that require fetching external data or performing actions.

Do I need Ruby experience to use DSPy.rb for LLM programming?▼

Yes, DSPy.rb requires a Ruby runtime and familiarity with Ruby syntax and Rails or Ruby project structure. You'll need to install DSPy.rb, provider adapters, and set up environment variables for API keys; no prior LLM framework experience is required.

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