DSPy: Declarative Self-improving Language Programs

DSPy is a framework for algorithmically optimizing Language Model (LM) prompts and weights, especially within complex workflows. It enables developers to express multi-step reasoning as modular, self-improving programs, abstracting away the specifics of prompting and fine-tuning. The current version is 3.1.3, with a very active development schedule and frequent updates, often involving significant API changes between major versions.