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feat(ocr-and-documents): add OCR and document extraction skills

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- Introduced new skills for extracting text from PDFs, scanned documents, and images using OCR and document parsing tools.
- Added detailed documentation for usage and installation of `pymupdf` and `marker-pdf` for local extraction.
- Implemented scripts for text extraction with both lightweight and high-quality options, including support for various document formats.
- Updated web extraction functionality to handle PDF URLs directly, enhancing usability for academic papers and documents.
This commit is contained in:
teknium1
2026-02-26 23:06:08 -08:00
parent 21cf339a85
commit 19abbfff96
5 changed files with 322 additions and 1 deletions
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tools/web_tools.py
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@@ -1240,7 +1240,7 @@ WEB_SEARCH_SCHEMA = {
WEB_EXTRACT_SCHEMA = {
"name": "web_extract",
"description": "Extract content from web page URLs. Returns page content in markdown format. Pages under 5000 chars return full markdown; larger pages are LLM-summarized and capped at ~5000 chars per page. Pages over 2M chars are refused. If a URL fails or times out, use the browser tool to access it instead.",
"description": "Extract content from web page URLs. Returns page content in markdown format. Also works with PDF URLs (arxiv papers, documents, etc.) — pass the PDF link directly and it converts to markdown text. Pages under 5000 chars return full markdown; larger pages are LLM-summarized and capped at ~5000 chars per page. Pages over 2M chars are refused. If a URL fails or times out, use the browser tool to access it instead.",
"parameters": {
"type": "object",
"properties": {