dspy-ruby

Build type-safe LLM applications in Ruby by using a typed DSL with Sorbet-backed enums and structs to define clear, predictable inputs and outputs. This reduces prompt brittleness and enables modular AI pipelines.

Defining predictable inputs and outputs for LLM pipelines is achieved through type-safe signatures and modular components. This approach enforces strict type safety with Sorbet, ensuring robust and observable AI workflows.

Yes, you can enforce type safety in Ruby AI workflows using Sorbet. The framework provides a typed DSL with Sorbet-backed enums and structs to guarantee predictable inputs and outputs for your LLM applications.

Scaffold a typed signature or module by installing the tooling gem and using the provided asset templates. These templates enable rapid starting for building modular components like sentiment analyzers or ReAct agents.

Yes, DSPy.rb supports per-tool model selection and observability for multi-step agents. It includes modular tooling that composes predictable AI pipelines with telemetry and fiber-local LM context.

Ruby LLM pipelines suffer from prompt brittleness due to untyped, unstructured inputs and outputs. Using a rigorous typed DSL with modular signatures and Sorbet type safety reduces this brittleness and ensures predictable behavior.