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Programming paradigms that define AI task logic through typed schemas and modular components.
Distinguishing note: Focuses on declarative logic definition rather than imperative prompt scripting.
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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-
Defines task logic through modular, typed schemas to build complex language model applications.