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Modules that enable language models to explore large contexts through iterative or recursive execution.
Distinguishing note: Focuses on recursive context exploration rather than standard inference.
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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-
Provides a module for recursive context exploration using sandboxed execution environments.