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Context Engineering Framework for LLMs and Agents

Project description

Krypton Toolkit

PyPI version Python Versions License

Context Engineering Framework for LLMs and Agents.

Krypton Toolkit helps you extract high-fidelity content from complex documents like PDFs to feed into your Large Language Models.

Features

  • LLM-based Parsing: Use state-of-the-art vision models to extract content from PDFs with layout preservation.
  • Generic Parsing: Fast, rule-based parsing for simpler documents.
  • Smart Splitting: Split documents into semantic chunks or fixed-size windows with overlap.

Installation

pip install krypton-toolkit

Quick Start

Basic Usage

from krypton.parser import LLMParser, ParsingStrategy

# Initialize parser
parser = LLMParser(model="gpt-4o", api_key="sk-...")

# Parse document
doc = parser.parse("path/to/document.pdf", strategy=ParsingStrategy.VISUAL)

# Access pages
print(f"Parsed {len(doc.pages)} pages.")

License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.

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