Builds type-safe, composable LLM applications in Ruby using the programmatic DSPy framework.
DSPy.rb Expert provides specialized guidance for implementing predictable AI features in Ruby applications by moving away from manual prompting in favor of programmatic modules. This skill assists developers in creating type-safe signatures, building complex workflows through composable modules, and configuring various LLM providers like OpenAI, Anthropic, and Ollama. It emphasizes production-grade patterns, including RSpec testing for AI logic and evaluation-driven optimization to automatically improve prompt performance and accuracy.
Key Features
01Type-safe signatures for structured LLM input/output contracts
02Composable module architecture for chaining complex AI workflows
03Multi-provider configuration for OpenAI, Anthropic, Gemini, and Ollama
040 GitHub stars
05Support for multiple predictors including Chain-of-Thought and ReAct agents
06Evaluation-driven optimization using MIPROv2 to improve prompt performance
Use Cases
01Developing multimodal applications that process images and text simultaneously
02Implementing intelligent support agents with tool-calling and reasoning capabilities
03Building structured data extraction pipelines from unstructured text
