- Changed execution counts in the Jupyter notebook for consistency.
- Removed unnecessary imports and commented-out code.
- Updated the markdown structure in the research report for clarity and emphasis.
- Enhanced key findings and context sections with clearer language and additional references.
- Improved the overall organization of the report for better readability and flow.
Split app.py into separate modules: state.py for Reflex state management, report_formatting.py for Markdown processing and CSS, and pdf_export.py for ReportLab-based PDF generation. Update README with app structure details and PDF download feature. Refine research_assistant.py to remove redundant date context and enhance time-sensitive query handling. Adjust .gitignore for Python bytecode and temporary files. Add reportlab dependency to requirements.txt.
Add Dockerfile, .dockerignore, and .gitattributes for containerization. Improve app.py with markdown cleaning, new tab link extensions, and better HTML rendering. Update research_assistant.py with code formatting, datetime utilities, and refined Pydantic models. Enhance README.md with Hugging Face metadata, detailed flow diagram, and retrieval policy. Update notebook and research report with latest findings and execution details. Modify research images.
Remove outdated architecture and workflow sections from the multi-agent research assistant notebook, clear execution outputs, and update the Sora shutdown report with phased discontinuation details and strategic rationale. Adjust .env.template by removing RUN_LIVE_EXAMPLE flag.
Remove the Jupyter notebook file and associated example report, update README.md to reference new images in the research/ directory and remove notebook run instructions, and refresh example query buttons in the web app with new topics. This shifts focus to the Reflex web app while cleaning up obsolete files.
- Reflex UI with styled markdown rendering (headings, bullets, tables, code)
- Download button for markdown report export
- Source research agent now includes current date for recent results
- Reduced report width with proper padding to prevent text cutoff
- Updated README with app structure and features
Add implementation of a multi-agent research assistant using a manager agent to orchestrate judge, source research, and analyst agents. Includes workflow that leverages Olostep Answer API, escalates to search-with-scrape, and generates Markdown reports with sources. Added Jupyter notebook, example report, diagram image, and updated README with setup and flow documentation.
Abid Ali Awan