#structured output

Explore a framework optimized for seamless interaction with Large Language Models, enabling features like a chat interface, structured output, function execution, retrieval augmented generation, and agentic chain processing. Utilizing guided sampling, it facilitates function calls and structured output across different servers, compatible with llama-cpp-python and TGI, suitable for varied use-cases from casual chatting to advanced function execution, ensuring integration with OpenAI tools and others.

A Python framework streamlining output from LLMs by parallelizing independent tasks. Compatible with OpenAI and Hugging Face's models, boosting performance up to 10x. Easy PyPI installation enhances integration, minimizing token and parsing challenges, for efficient structured data extraction.

Funcchain enhances cognitive system development through intuitive integration and dynamic model support, optimizing output and adaptability in various applications.