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Awesome GitHub RepositoriesStructured Data Coercion
Utilities for automatically mapping and validating language model outputs into predefined data structures.
Distinguishing note: Distinct from general serialization: specifically handles the transformation of unstructured LLM text into validated, typed objects.
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Awesome Structured Data Coercion GitHub Repositories
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- stanfordnlp/dspy
stanfordnlp/dspy
32,291View on GitHubDSPy 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-
Automatically coerces and validates language model outputs into structured, typed data formats.
Python
