CodeAct provides Think-Code-Observe agents that synthesize and execute Ruby code dynamically. Ship DSPy.rb workflows that write custom Ruby code while tracking execution history, observations, and safety signals.

DSPy datasets provide prebuilt loaders, caching, and schema metadata for benchmark corpora used in DSPy examples and teleprompters.

Provides the DSPy::Evals runtime, concurrency, callbacks, and export helpers for benchmarking Ruby DSPy programs.

Optional optimizer bundle for DSPy.rb that ships the MIPROv2 teleprompter, Gaussian Process backend, and supporting dependencies for Bayesian optimization.

GEPA delivers optimization strategies, telemetry, and proposer tooling for reflective DSPy agents.