WebSearchProfiler class provides a decorator for timing and profiling async functions, tracking execution duration, URL processing counts, and estimated time saved versus manual reading. It uses asyncio.Lock for thread safety and can be extracted and reused in any async Python project needing lightweight performance instrumentation without external dependencies.

A set of functions for converting HTML pages, PDFs, and image files into clean markdown text. It handles various content types via libraries like markdownify, pdftotext, and OCR (via PIL/pytesseract). The functions are self-contained and can be isolated for use in data ingestion pipelines or ETL processes that require uniform text extraction from mixed document formats.

Implements a structured approach to generating answers by decomposing user queries into sub-questions, retrieving relevant context for each, and synthesizing a final response using LLM calls. It uses iterative summarization and cross-validation of generated text. This pattern can be extracted into standalone libraries for question answering over retrieval augmented generation (RAG) pipelines, though it currently references a configurable LLM factory that would need to be adapted.