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Awesome GitHub RepositoriesModel Method Attachments
Mechanisms for binding custom methods to data models for immediate post-processing of extracted objects.
Distinct from Inline Logic Execution: Distinct from Inline Logic Execution: focuses on attaching methods to data objects rather than general inline code execution.
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Awesome Model Method Attachments GitHub Repositories
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- 567-labs/instructor
567-labs/instructor
13,176Voir sur GitHubInstructor is a framework designed for structured data extraction, validation, and language model integration. It functions as a library that transforms unstructured text into validated, type-safe objects by leveraging schema definitions and model-specific tool-calling capabilities. By acting as a validation middleware, the project ensures that language model outputs strictly conform to defined data structures. The library distinguishes itself through a robust validation-based retry loop that automatically re-submits failed responses with error feedback to iteratively correct schema complianc
Enables adding custom methods to extracted data models for domain-specific post-processing.
Pythonopenaiopenai-function-calliopenai-functions
