Program LLMs in Ruby with type-safe signatures and modular workflows.
npx skills add https://github.com/roach88/compound-engineering --skill dspy-ruby-roach88
Please help me install this Agent Skill. Skill: dspy-ruby Source: https://github.com/roach88/compound-engineering/tree/main/skills/dspy-ruby Command: npx skills add https://github.com/roach88/compound-engineering --skill dspy-ruby-roach88
DSPy.rb provides a robust framework to program LLMs in Ruby by offering type-safe signatures and composable modules, enabling predictable AI behavior and easier maintenance.
Configure a provider, define a signature, wrap it in a module, and call forward with inputs to obtain a typed LLM result.
High-intent search queries and answers about installing and using this skill.
You program LLMs in Ruby with type-safe workflows by defining signatures with runtime validation, wrapping them in composable modules, and calling forward with inputs to obtain typed LLM results.
Type-safe signatures in Ruby provide runtime validation for LLM inputs and outputs, ensuring predictable AI behavior and making complex multi-predictor pipelines easier to maintain.
Yes, you can configure multiple LLM providers in a Ruby application using multi-provider configuration patterns, enabling consistent testing and observability across both development and production environments.
You test and monitor LLM features in Ruby by applying built-in testing and observability patterns across development and production, ensuring deterministic results and predictable module behavior.
Yes, this approach works for complex workflows by using composable modules to build multi-predictor pipelines, allowing you to chain multiple LLM calls together with type-safe signatures.
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