dspy-ruby

You can build type-safe LLM applications in Ruby by defining LLM inputs and outputs using Sorbet-based signatures, composing logic with modules like Predict and ChainOfThought, and integrating type-safe tools for agents. This ensures compile-time safety and testability.

Defining LLM inputs and outputs with Sorbet types involves using type-safe signatures within the DSPy.rb framework. This approach provides compile-time safety, ensuring that your programmatic prompts and modular components handle data correctly.

Yes, you can compose LLM logic in Ruby using modular components like Predict, ChainOfThought, ReAct, and CodeAct. These modules allow you to build complex interactions, such as agents that read tickets and draft responses, while maintaining type safety.

You can optimize prompt accuracy in a Ruby environment using built-in optimization frameworks like MIPROv2 and GEPA. These advanced techniques help improve the performance and accuracy of your type-safe LLM interactions.

Yes, this approach supports building agents that can read customer support tickets, classify urgency, search a knowledge base, and draft responses. It leverages type-safe tool integration and modular components to handle these complex workflows.

Using type-safe signatures for LLM interactions provides compile-time safety through Sorbet types, making your applications modular and testable. This prevents type errors and ensures reliable logic composition with modules like Predict and ReAct.