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DSPy

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Framework for programming (not prompting) language models (Stanford NLP).

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DSPy

DSPy is Stanford's framework for programming—not prompting—foundation models. It provides composable modules with signatures that define input/output behavior, automatic optimizers that tune prompts and weights, and a declarative interface that separates program logic from model specifics. Used in production by companies processing billions of tokens monthly. Supports 28+ LLM providers with 160K+ monthly pip downloads.