DSPy for Ruby

About

Enhances Claude's ability to build sophisticated LLM applications in Ruby using DSPy.rb, a framework for programming language models instead of manually prompting them. This skill provides expert guidance on creating type-safe signatures, building composable modules, configuring various LLM providers (like OpenAI, Anthropic, and Gemini), implementing tool-using agents, and optimizing prompts. Use it to develop predictable, testable, and production-ready AI features within your Ruby or Rails applications.

Key Features

• Configure and use multiple LLM providers, including OpenAI, Anthropic, Gemini, and Ollama.
• Create type-safe input/output contracts for LLM operations using Signatures.
• Implement testing strategies and automatically optimize prompts using techniques like MIPROv2.
• Build reusable, chainable Modules to create complex multi-step workflows.
• 2,824 GitHub stars
• Develop agents that can use external tools to perform complex tasks using predictors like ReAct.

Use Cases

• Building and testing a reliable content generation feature with structured, predictable outputs.
• Developing a multi-step AI pipeline for document analysis in a Rails application.
• Creating a customer support agent that can use external APIs to look up order information.