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Utilities for converting raw tool outputs into model-interpretable formats.
Distinct from Multi-Modal Tokenizers: Focuses on the conversion of tool outputs for model consumption, distinct from latent space tokenization.
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This project is a comprehensive framework for building AI-powered applications, providing a unified toolkit for orchestrating language models, autonomous agents, and interactive user interfaces. It serves as a central library for managing the entire lifecycle of AI interactions, from initial prompt generation and model provider abstraction to complex, multi-step reasoning and tool execution. The framework distinguishes itself through its deep integration with frontend development, specifically by enabling generative user interfaces that render dynamic components directly from model outputs. I
Converts complex tool outputs like images or files into standardized formats that models can interpret and incorporate into their responses.