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# Web Research Agent Architecture
```
┌──────────────────────────────────────────────────────────────────────────────┐
│ Gradio Interface │
└───────────────────────────────────┬──────────────────────────────────────────┘
│
▼
┌──────────────────────────────────────────────────────────────────────────────┐
│ Research Engine │
│ │
│ ┌───────────────────────────────────────────────────────────────────────┐ │
│ │ Conversation History │ │
│ └───────────────────────────────────────────────────────────────────────┘ │
│ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Researcher │◄────────────►│ Analyst │◄────────────►│ Writer │ │
│ │ Agent │ │ Agent │ │ Agent │ │
│ └──────┬──────┘ └──────┬──────┘ └──────┬──────┘ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Search │ │ Scrape │ │ Information │ │
│ │ Rotation │ │ Website Tool│ │ Synthesis │ │
│ │ Tool │ └──────┬──────┘ └─────────────┘ │
│ └─────────────┘ │ │
│ ▼ │
│ ┌─────────────┐ │
│ │ Content │ │
│ │ Analyzer │ │
│ └─────────────┘ │
└──────────────────────────────────────────────────────────────────────────────┘
```
## 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 |