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Standardized ways to expose Python functions as executable tools for language models.
Distinguishing note: Focuses on the interface layer that allows LLMs to invoke local code as tools.
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DSPy is a declarative programming framework designed for building complex language model applications. It treats model interactions as modular, composable programs, allowing developers to define task logic through typed class schemas rather than relying on manually written prompts. By organizing workflows into hierarchical, reusable Python objects, the framework enables the construction of sophisticated AI systems that manage state and execution flow independently. The framework distinguishes itself through an automated optimization engine that iteratively refines prompt instructions and few-
Wraps Python functions as tools that language models can invoke to perform specific tasks.