戒酒的李白

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### Overall Architecture Diagram
**Insight Agent** Private Database Mining: AI agent for in-depth analysis of private public opinion databases
**Media Agent** Multimodal Content Analysis: AI agent with powerful multimodal capabilities
**Query Agent** Precise Information Search: AI agent with domestic and international web search capabilities
**Report Agent** Intelligent Report Generation: Multi-round report generation AI agent with built-in templates
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<img src="static/image/framework.png" alt="banner" width="800">
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A complete analysis workflow:
1. User Query → Flask main application receives the query
2. Parallel Launch → Three Agents start working simultaneously
3. Preliminary Analysis → Each Agent uses dedicated tools for overview search
4. Strategy Formulation → Develop segmented research strategies based on preliminary results
5. In-depth Research → Multi-round search and reflection mechanisms calling respective tools
6. Forum Collaboration → ForumEngine accepts key findings from each Agent and facilitates Agent communication
7. Result Integration → Report Agent collects all analysis results and forum content
8. Report Generation → Dynamically select templates and styles, generate final reports through multiple rounds
### Project Code Structure Tree
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### 整体架构图
**Insight Agent** 私有数据库挖掘:私有舆情数据库深度分析AI代理
**Media Agent** 多模态内容分析:具备强大多模态能力的AI代理
**Query Agent** 精准信息搜索:具备国内外网页搜索能力的AI代理
**Report Agent** 智能报告生成:内置模板的多轮报告生成AI代理
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<img src="static/image/framework.png" alt="banner" width="800">
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一次完整的分析流程:
1. 用户提问 → Flask主应用接收查询
2. 并行启动 → 三个Agent同时开始工作
3. 初步分析 → 各Agent使用专属工具进行概览搜索
4. 策略制定 → 基于初步结果制定分块研究策略
5. 深度研究 → 多轮搜索与反思机制调用各自工具
6. 论坛协作 → ForumEngine接受各Agent关键发现并促进Agent交流
7. 结果整合 → Report Agent收集所有分析结果和论坛内容
8. 报告生成 → 动态选择模板和样式,多轮生成最终报告
### 项目代码结构树
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