dspy

From the README: 'Write compositional Python code instead of manually crafting prompts.' This enables cleaner, more maintainable AI code by abstracting away prompt engineering.

DSPy offers algorithms that 'optimize prompts and weights for your specific tasks,' reducing manual tuning and improving output quality through systematic methods.

Allows building complex pipelines like RAG systems and agent loops, as stated in the description, facilitating scalable and reusable AI applications.

Compiles declarative LM calls into pipelines that learn and adapt, enabling continuous improvement without constant manual intervention, per the README's emphasis on self-improvement.