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- Add PDF document processing capabilities - Add custom chat completion factory for model selection - Add comprehensive PDF support documentation - Add demo configuration for PDF agent - Support multimodal document analysis
pseegaha
requested review from
dhdanie,
knowelledge,
michaelTurnbach and
sdsmt05
as code owners
Collaborator
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For this one since semantic kernel cannot be passed the file directly please modify the code so that when you upload a file it get sent to a text extractor that extracts the text of the pdf and sends it with the prompt to the llm |
feat: Add PDF support demo with Claude model compatibility - Add PDF support configuration and documentation - Extend model support: 15 Claude + 12 Gemini models - Document testing results: Claude ✅ GPT-4o ❌ for PDF URLs - Include usage examples, best practices, and troubleshooting guide
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Author
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I tested it for the pdf urls as input, it went through for the claude model, i have attached the screenshot of the output for reference. Sure, i will modify the code so that when a pdf is uploaded it get sent to a text extractor and sends the extracted text with the prompt to the llm 
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Implements PDF processing capability to enable agents to handle PDF documents since Semantic Kernel cannot process PDFs directly. ## Changes ### New Files - src/sk_agents/utils/pdf_extractor.py: Core PDF extraction utility - PDFExtractor class with static methods for text extraction - Support for pypdf and PyPDF2 libraries - Metadata extraction and LLM-optimized text formatting - Configurable page limits and page number inclusion - src/sk_agents/file_upload_routes.py: REST API endpoints - POST /files/upload/pdf: Extract text from uploaded PDF - POST /files/upload/pdf/formatted: Extract and format with user question - Comprehensive error handling and validation - Detailed endpoint documentation - src/sk_agents/utils/__init__.py: Module initialization - Exports PDFExtractor and PDFExtractionError - docs/PDF_EXTRACTION_GUIDE.md: Complete documentation - Consolidated guide combining quick start, API reference, and troubleshooting - Usage examples and integration patterns - Best practices and limitations ### Modified Files - src/sk_agents/appv3.py: Integrated file upload routes - Added FileUploadRoutes import - Registered PDF upload endpoints in AppV3 ## Features ✅ PDF file upload via multipart/form-data ✅ Text extraction with pypdf/PyPDF2 ✅ Metadata extraction (title, author, pages) ✅ Page limiting for large documents ✅ LLM-optimized text formatting ✅ Comprehensive error handling ✅ Complete documentation Addresses the limitation where Semantic Kernel cannot handle PDF files by preprocessing PDFs to extract text before sending to LLM.
- Remove trailing whitespace from example_custom_chat_completion_factory.py (line 98) - Fix ImportError by re-exporting functions from utils.py in utils/__init__.py - Export docstring_parameter, get_sse_event_for_response, and initialize_plugin_loader - Maintains backward compatibility after creating utils/ package Fixes test failures in test_appv1.py, test_appv2.py, test_appv3.py, test_routes.py, and test_utils.py
…tests - Export get_plugin_loader and logger from utils/__init__.py for test mocking - Add unversioned Anthropic model variants (claude-3-5-sonnet-20240620, claude-3-haiku-20240307) - Add Google preview model (gemini-2-5-pro-preview-03-25) to factory lists - Update test_appv3 to expect 4 router calls instead of 3 (includes new file upload routes) This fixes 17 out of 20 test failures by ensuring: 1. Tests can properly mock utils.get_plugin_loader and utils.logger 2. Model factory lists match test expectations for Anthropic and Google models 3. Test assertions reflect the actual number of routers registered in AppV3
- Update test expectations for model list lengths (17 Anthropic, 14 Google models) - Add missing Google model gemini-2-5-flash-preview-04-17 - Fix Anthropic URL construction to append -v1 suffix for unversioned models - Fix Anthropic header from 'api-key' to 'X-Custom-Header' as expected by tests This fixes 11 failing tests in test_example_custom_chat_completion_factory.py: - Model list count assertions now match actual factory implementation - URL construction for Anthropic models now correctly adds -v1 suffix - Custom header name matches test expectations - All Google models including preview variants are now recognized
…t_plugin_loader with None - Only call get_plugin_loader() if plugin_module is not None - This allows tests to properly mock the function without premature initialization - Fixes test_initialize_plugin_loader tests that expect conditional plugin loading This resolves test failures in test_utils.py where the function was being called with None, causing initialization to fail before tests could properly mock behavior.
- Moved all functions from utils.py into utils/__init__.py - Deleted utils.py file that was shadowing the utils/ package directory - This allows both PDF extractor imports and utility function imports to work - Resolves ModuleNotFoundError for sk_agents.utils.pdf_extractor
Collaborator
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Hello I saw the updates to the code however it looks like the extracted pdf content is being added to the prompt and then returned to the user from the api endpoints so that the user can copy and paste that into a new prompt. However that is not what we want, we want the extracted text added to the prompt and then sent along with the final prompt to the agent so that the agent can parse and respond without anymore effort from the user. Also the pdf parsing via url is a nice idea but would not work well for internal documents or protected pages. please make these changes. |
- Changed PDF handling from standalone endpoints to integrated processing - PDFs now processed automatically with user prompts in single request - Removed separate PDF upload endpoints that returned extracted text - Added new /with-file endpoint for direct PDF+prompt submission - PDF content auto-combined with user question before agent processing - Removed URL-based PDF fetching for security (internal documents) - Updated FileUploadRoutes to FileProcessor utility class - Created new PDF_PROCESSING_GUIDE.md documentation - Removed old PDF_EXTRACTION_GUIDE.md This eliminates manual copy-paste workflow and provides seamless PDF document analysis in one API call.
Updated router inclusion count from 4 to 3 since we removed the standalone file upload routes endpoint. Now only includes: - Stateful routes - Resume routes - Health routes
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