dspy-ruby

You can program LLMs in Ruby by defining type-safe DSPy.rb signatures and composable modules to replace ad-hoc prompts. This approach provides runtime validation for input and output contracts, preventing schema drift in your LLM workflows.

You can configure multiple LLM providers in Ruby by centralizing settings for OpenAI, Gemini, Ollama, and OpenRouter. This allows you to manage provider configurations and execute forward passes to obtain structured results from your modules.

DSPy.rb signatures are type-safe definitions for input and output contracts that provide runtime validation to prevent schema drift. They ensure the structured results returned by your LLM provider match the expected data format.

Yes, you can build reusable, multi-step LLM workflows and agent patterns in Ruby using composable modules and pipelines. These modules support tool integration to create structured, testable processing steps.

You can test and monitor LLM workflows in Ruby using provided templates for testing, optimization, and observability. This support ensures your type-safe signatures and modular pipelines function correctly across configured providers.

Yes, type safety for LLM structured outputs in Ruby is achieved by defining type-safe signatures with runtime validation. This prevents schema drift by ensuring the output contracts are strictly enforced during the module forward pass.