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Awesome GitHub RepositoriesPolymorphic Response Handling

Supports returning multiple data structures or mixed types for flexible, multi-intent interactions.

Distinct from Polymorphic Data Modeling: Focuses on model response handling for polymorphic types, distinct from database-level entity modeling.

Explore 1 awesome GitHub repository matching data & databases · Polymorphic Response Handling. Refine with filters or upvote what's useful.

Awesome Polymorphic Response Handling GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • 567-labs/instructorAvatar de 567-labs

    567-labs/instructor

    13,176Ver en GitHub↗

    Instructor 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

    Allows the model to return one of several different data structures or a list of mixed types to support flexible, multi-intent interactions.

    Pythonopenaiopenai-function-calliopenai-functions
    Ver en GitHub↗13,176
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