Build Modular Llm Pipelines With Declarative Python

DSPy is a Python framework for programming rather than prompting LLMs: you write declarative modules and signatures, then compilers/optimizers (e.g. GEPA, MIPRO) tune prompts and weights against your metric. Useful for building and optimizing RAG pipelines, classifiers, and agent loops.

AI Frameworks | Python · dspy · prompt-optimization