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Attachments simplifies providing context to Large Language Models by transforming various file types into model-ready text and images. This Python library acts as a universal funnel, enabling developers to integrate diverse data sources like PDFs, images, web content, and even entire code repositories with just a few lines of code. It supports popular LLM APIs and frameworks, making multimodal AI development more accessible.
