dspy-ruby

Build type-safe LLM applications in Ruby by using DSPy.rb to define signatures and modular components, ensuring predictable prompts and structured outputs for production-ready workflows.

Structure modular LLM workflows in Ruby by composing type-safe signatures, modules, and tools. This approach enforces predictable prompt behavior and enables per-tool model selection.

Yes, you can select different LLM models for individual tools in a Ruby application. DSPy.rb supports per-tool model selection and provider configuration to optimize specific workflow tasks.

Test and optimize LLM prompts in a Ruby environment by applying DSPy.rb's built-in guidance for testing, observability, and optimization to bring software engineering rigor to AI workflows.

Configure a language model provider for Ruby LLM modules by setting up your environment, defining a signature, and running a simple prediction to verify the provider connection and results.