docs: update README files to reflect changes in Agent Architecture

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DESKTOP-RTLN3BA\$punk 2026-01-23 02:07:58 -08:00
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- Support for multiple TTS providers (OpenAI, Azure, Google Vertex AI)
### 🤖 **Deep Agent Architecture**
#### Built-in Agent Tools
| Tool | Description |
|------|-------------|
| **search_knowledge_base** | Search your personal knowledge base with semantic + full-text hybrid search, date filtering, and connector-specific queries |
| **generate_podcast** | Generate audio podcasts from chat conversations or knowledge base content |
| **link_preview** | Fetch rich Open Graph metadata for URLs to display preview cards |
| **display_image** | Display images in chat with metadata and source attribution |
| **scrape_webpage** | Extract full content from webpages for analysis and summarization (supports Firecrawl or local Chromium/Trafilatura) |
#### Extensible Tools Registry
Contributors can easily add new tools via the registry pattern:
1. Create a tool factory function in `surfsense_backend/app/agents/new_chat/tools/`
2. Register it in the `BUILTIN_TOOLS` list in `registry.py`
#### Configurable System Prompts
- Custom system instructions via LLM configuration
- Toggle citations on/off per configuration
- Supports 100+ LLMs via LiteLLM integration
- Powered by [LangChain Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview) - agents that can plan, use subagents, and leverage file systems for complex tasks.
### 📊 **Advanced RAG Techniques**
- Supports 100+ LLM's

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- 支持多个 TTS 提供商OpenAI、Azure、Google Vertex AI
### 🤖 **深度代理架构**
#### 内置代理工具
| 工具 | 描述 |
|------|------|
| **search_knowledge_base** | 使用语义+全文混合搜索、日期过滤和连接器特定查询搜索您的个人知识库 |
| **generate_podcast** | 从聊天对话或知识库内容生成音频播客 |
| **link_preview** | 获取 URL 的 Open Graph 元数据以显示预览卡片 |
| **display_image** | 在聊天中显示带有元数据和来源归属的图像 |
| **scrape_webpage** | 从网页中提取完整内容用于分析和总结(支持 Firecrawl 或本地 Chromium/Trafilatura |
#### 可扩展工具注册表
贡献者可以通过注册表模式轻松添加新工具:
1. 在 `surfsense_backend/app/agents/new_chat/tools/` 中创建工具工厂函数
2. 在 `registry.py``BUILTIN_TOOLS` 列表中注册
#### 可配置的系统提示词
- 通过 LLM 配置自定义系统指令
- 按配置切换引用开关
- 通过 LiteLLM 集成支持 100+ 种 LLM
- 基于 [LangChain Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview) 构建 - 支持规划、子代理和文件系统的复杂任务处理代理。
### 📊 **先进的 RAG 技术**
- 支持 100+ 种大语言模型