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# Web Research Agent Architecture | |
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β Gradio Interface β | |
βββββββββββββββββββββββββββββββββββββ¬βββββββββββββββββββββββββββββββββββββββββββ | |
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βΌ | |
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β Research Engine β | |
β β | |
β βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ β | |
β β Conversation History β β | |
β βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ β | |
β β | |
β βββββββββββββββ βββββββββββββββ βββββββββββββββ β | |
β β Researcher βββββββββββββββΊβ Analyst βββββββββββββββΊβ Writer β β | |
β β Agent β β Agent β β Agent β β | |
β ββββββββ¬βββββββ ββββββββ¬βββββββ ββββββββ¬βββββββ β | |
β β β β β | |
β βΌ βΌ βΌ β | |
β βββββββββββββββ βββββββββββββββ βββββββββββββββ β | |
β β Search β β Scrape β β Information β β | |
β β Rotation β β Website Toolβ β Synthesis β β | |
β β Tool β ββββββββ¬βββββββ βββββββββββββββ β | |
β βββββββββββββββ β β | |
β βΌ β | |
β βββββββββββββββ β | |
β β Content β β | |
β β Analyzer β β | |
β βββββββββββββββ β | |
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## Research Flow | |
1. **User Input** | |
- User enters a query in the Gradio interface | |
- Query is validated for legitimacy and processed by the system | |
2. **Query Refinement** (Researcher Agent) | |
- Original query is analyzed and refined for optimal search results | |
- Ambiguous terms are clarified and search intent is identified | |
- Refined query is prepared for web search with improved keywords | |
3. **Web Search** (Researcher Agent + Search Rotation Tool) | |
- Search Rotation Tool executes search using multiple search engines | |
- Rate limiting is implemented to avoid API throttling | |
- Search is performed with a maximum of 5 searches per query | |
- Results are cached for similar queries to improve efficiency | |
- Search results are collected with URLs and snippets | |
4. **Content Scraping** (Analyst Agent + ScrapeWebsiteTool) | |
- ScrapeWebsiteTool extracts content from search result URLs | |
- HTML content is parsed to extract meaningful text | |
- Raw content is prepared for analysis and evaluation | |
5. **Content Analysis** (Analyst Agent + ContentAnalyzerTool) | |
- Content is analyzed for relevance to the query (scores 0-10) | |
- Factuality and quality are evaluated (scores 0-10) | |
- Irrelevant or low-quality content is filtered out | |
- Content is organized by relevance and information value | |
6. **Response Creation** (Writer Agent) | |
- Analyzed content is synthesized into a comprehensive response | |
- Information is organized logically with a clear structure | |
- Contradictory information is reconciled when present | |
- Citations are added in [1], [2] format with proper attribution | |
- Source URLs are included for reference and verification | |
7. **Result Presentation** | |
- Final response with citations is displayed to the user | |
- Conversation history is updated and maintained per session | |
- Results can be saved to file if requested | |
## System Architecture | |
- **Multi-Agent System**: Three specialized agents work together with distinct roles | |
- **Stateless Design**: Each research request is processed independently | |
- **Session Management**: User sessions maintain separate conversation contexts | |
- **API Integration**: Multiple search APIs with fallback mechanisms | |
- **Memory**: All agents maintain context throughout the research process | |
- **Tool Abstraction**: Search and analysis tools are modular and interchangeable | |
- **Error Handling**: Comprehensive error handling at each processing stage | |
- **Rate Limiting**: API calls are rate-limited to prevent throttling | |
## Technical Implementation | |
- **Frontend**: Gradio web interface with real-time feedback | |
- **Backend**: Python-based research engine with modular components | |
- **Tools**: | |
- Search Rotation Tool (supports multiple search engines) | |
- Rate Limited Tool Wrapper (prevents API throttling) | |
- Content Analyzer Tool (evaluates relevance and factuality) | |
- Scrape Website Tool (extracts content from URLs) | |
- **Deployment**: Compatible with Hugging Face Spaces for online access | |
- **Caching**: Results are cached to improve performance and reduce API calls |