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Awesome GitHub RepositoriesInput Validation Schemas
Mechanisms for enforcing constraints and data consistency on model inputs and outputs using type-based definitions.
Distinguishing note: Focuses on schema-level constraints for LLM interactions rather than general-purpose data validation.
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Awesome Input Validation Schemas 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-
Enforces strict field constraints and data consistency within language model interactions using typed schemas.
Python
