diff --git a/MULTIMODAL_SUPPORT.md b/MULTIMODAL_SUPPORT.md new file mode 100644 index 000000000..fcc52352c --- /dev/null +++ b/MULTIMODAL_SUPPORT.md @@ -0,0 +1,306 @@ +# ms-agent 多模态支持指南 + +本文档介绍如何使用 ms-agent 进行多模态对话，包括图片理解和分析功能。 + +## 概述 + +ms-agent 已经支持多模态模型，如阿里云的 `qwen3.5-plus` 模型。多模态模型能够： +- 分析图片内容 +- 识别图片中的对象、场景和文字 +- 结合图片内容进行对话 + +## 前置要求 + +### 1. 安装依赖 + +确保已安装必要的依赖包： + +```bash +pip install openai +``` + +### 2. 配置 API Key + +（以qwen3.5-plus为例）获取 DashScope API Key 并设置环境变量： + +```bash +export DASHSCOPE_API_KEY='your-dashscope-api-key' +``` + +或者在配置文件中直接设置 `dashscope_api_key`。 + +## 配置多模态模型 + +### 使用配置文件 + +可以使用预定义的多模态配置文件 `config/cfg_model_multimodal.yaml`： + +```yaml +llm: + service: dashscope + model: qwen3.5-plus + dashscope_api_key: your-api-key # 或使用环境变量 + modelscope_base_url: https://dashscope.aliyuncs.com/compatible-mode/v1 + +generation_config: + temperature: 0.7 + top_k: 50 + top_p: 0.8 + max_tokens: 2048 + stream: true + extra_body: + enable_thinking: false +``` + +### 在代码中配置 + +```python +from ms_agent.config import Config +from ms_agent.llm import LLM + +config = Config.from_task('path/to/config') +config.llm.model = 'qwen3.5-plus' +config.llm.service = 'dashscope' +config.llm.dashscope_api_key = 'your-api-key' +config.llm.modelscope_base_url = 'https://dashscope.aliyuncs.com/compatible-mode/v1' + +llm = LLM.from_config(config) +``` + +## 使用 LLMAgent 进行多模态对话 + +推荐使用 `LLMAgent` 来进行多模态对话，它提供了更完整的功能，包括记忆管理、工具调用和回调支持。 + +### 基本用法 + +```python +import asyncio +import os +from ms_agent import LLMAgent +from ms_agent.config import Config +from ms_agent.llm.utils import Message + +async def multimodal_chat(): + # 创建配置 + config = Config.from_task('ms_agent/agent/agent.yaml') + config.llm.model = 'qwen3.5-plus' + config.llm.service = 'dashscope' + config.llm.dashscope_api_key = os.environ.get('DASHSCOPE_API_KEY', '') + config.llm.modelscope_base_url = 'https://dashscope.aliyuncs.com/compatible-mode/v1' + + # 创建 LLMAgent + agent = LLMAgent(config=config) + + # 构建多模态消息 + multimodal_content = [ + {"type": "text", "text": "请描述这张图片。"}, + {"type": "image_url", "image_url": {"url": "https://example.com/image.jpg"}} + ] + + # 调用 agent + response = await agent.run(messages=[Message(role="user", content=multimodal_content)]) + print(response[-1].content) + +asyncio.run(multimodal_chat()) +``` + +### 非 Stream 模式 + +```python +# 配置中禁用 stream +config.generation_config.stream = False + +agent = LLMAgent(config=config) + +multimodal_content = [ + {"type": "text", "text": "请描述这张图片。"}, + {"type": "image_url", "image_url": {"url": "https://example.com/image.jpg"}} +] + +# 非 stream 模式：直接返回完整响应 +response = await agent.run(messages=[Message(role="user", content=multimodal_content)]) +print(f"[回复] {response[-1].content}") +print(f"[Token使用] 输入: {response[-1].prompt_tokens}, 输出: {response[-1].completion_tokens}") +``` + +### Stream 模式 + +```python +# 配置中启用 stream +config.generation_config.stream = True + +agent = LLMAgent(config=config) + +multimodal_content = [ + {"type": "text", "text": "请描述这张图片。"}, + {"type": "image_url", "image_url": {"url": "https://example.com/image.jpg"}} +] + +# stream 模式：返回生成器 +generator = await agent.run( + messages=[Message(role="user", content=multimodal_content)], + stream=True +) + +full_response = "" +async for response_chunk in generator: + if response_chunk and len(response_chunk) > 0: + last_msg = response_chunk[-1] + if last_msg.content: + # 流式输出新增内容 + print(last_msg.content[len(full_response):], end='', flush=True) + full_response = last_msg.content + +print(f"\n[完整回复] {full_response}") +``` + +### 多轮对话 + +LLMAgent 支持多轮对话，可以在对话中混合使用图片和文本： + +```python +agent = LLMAgent(config=config, tag="multimodal_conversation") + +# 第一轮：发送图片 +multimodal_content = [ + {"type": "text", "text": "这张图片里有几个人？"}, + {"type": "image_url", "image_url": {"url": "https://example.com/image.jpg"}} +] + +messages = [Message(role="user", content=multimodal_content)] +response = await agent.run(messages=messages) +print(f"[第一轮回复] {response[-1].content}") + +# 第二轮：继续追问（纯文本，保留上下文） +messages = response # 使用上一轮的回复作为上下文 +messages.append(Message(role="user", content="他们在做什么？")) +response = await agent.run(messages=messages) +print(f"[第二轮回复] {response[-1].content}") +``` + +## 多模态消息格式 + +ms-agent 使用 OpenAI 兼容的多模态消息格式。图片可以通过以下三种方式提供： + +### 1. 图片 URL + +```python +from ms_agent.llm.utils import Message + +multimodal_content = [ + {"type": "text", "text": "请描述这张图片。"}, + {"type": "image_url", "image_url": {"url": "https://example.com/image.jpg"}} +] + +messages = [ + Message(role="user", content=multimodal_content) +] + +response = llm.generate(messages=messages) +``` + +### 2. Base64 编码 + +```python +import base64 + +# 读取并编码图片 +with open('image.jpg', 'rb') as f: + image_data = base64.b64encode(f.read()).decode('utf-8') + +multimodal_content = [ + {"type": "text", "text": "这是什么？"}, + { + "type": "image_url", + "image_url": { + "url": f"data:image/jpeg;base64,{image_data}" + } + } +] + +messages = [Message(role="user", content=multimodal_content)] +response = llm.generate(messages=messages) +``` + +### 3. 本地文件路径 + +```python +import base64 +import os + +image_path = 'path/to/image.png' + +# 获取 MIME 类型 +ext = os.path.splitext(image_path)[1].lower() +mime_type = { + '.png': 'image/png', + '.jpg': 'image/jpeg', + '.jpeg': 'image/jpeg', + '.gif': 'image/gif', + '.webp': 'image/webp' +}.get(ext, 'image/png') + +# 读取并编码 +with open(image_path, 'rb') as f: + image_data = base64.b64encode(f.read()).decode('utf-8') + +multimodal_content = [ + {"type": "text", "text": "描述这张图片。"}, + { + "type": "image_url", + "image_url": { + "url": f"data:{mime_type};base64,{image_data}" + } + } +] + +messages = [Message(role="user", content=multimodal_content)] +response = llm.generate(messages=messages) +``` + +## 运行示例 + +### 运行 Agent 示例 + +```bash +# 运行完整测试套件（包括 stream 和非 stream 模式） +python examples/agent/test_llm_agent_multimodal.py +``` + +## 常见问题 + +### Q: 图片大小有限制吗？ + +A: 是的，不同模型有不同的限制： +- qwen3.5-plus: 推荐图片大小不超过 4MB +- 分辨率建议不超过 2048x2048 + +### Q: 支持哪些图片格式？ + +A: 通常支持： +- JPEG / JPG +- PNG +- GIF +- WebP + +### Q: 可以一次发送多张图片吗？ + +A: 是的，可以在消息中添加多个 `image_url` 块： + +```python +multimodal_content = [ + {"type": "text", "text": "比较这两张图片。"}, + {"type": "image_url", "image_url": {"url": "https://example.com/img1.jpg"}}, + {"type": "image_url", "image_url": {"url": "https://example.com/img2.jpg"}} +] +``` + +### Q: 流式输出支持吗？ + +A: 是的，多模态对话支持流式输出。设置 `stream: true` 即可： + +```python +config.generation_config.stream = True +response = llm.generate(messages=messages, stream=True) +``` + diff --git a/api/ENHANCEMENTS.md b/api/ENHANCEMENTS.md new file mode 100644 index 000000000..e0e1c9ab5 --- /dev/null +++ b/api/ENHANCEMENTS.md @@ -0,0 +1,492 @@ +# API功能完善说明 + +本文档说明了参考 `webui/backend` 功能对 `api` 文件夹进行的完善工作。 + +## 完善概览 + +基于 webui/backend 的功能，为 api 文件夹添加了以下增强功能，使其功能更加完整和健壮。 + +--- + +## 1. 配置管理增强 (api/config.py) + +### 1.1 MCP服务器配置管理 + +新增MCP (Model Context Protocol) 服务器的完整管理功能： + +**新增端点：** +- `GET /api/v1/config/mcp` - 获取MCP服务器配置 +- `PUT /api/v1/config/mcp` - 更新MCP服务器配置 +- `POST /api/v1/config/mcp/servers` - 添加新的MCP服务器 +- `DELETE /api/v1/config/mcp/servers/{server_name}` - 删除指定MCP服务器 + +**功能特点：** +- 支持stdio和sse两种服务器类型 +- 单独的mcp_servers.json文件存储，兼容ms-agent格式 +- 支持服务器环境变量配置 + +### 1.2 EdgeOne Pages配置 + +新增EdgeOne Pages部署配置管理： + +**新增端点：** +- `GET /api/v1/config/edgeone-pages` - 获取EdgeOne Pages配置 +- `PUT /api/v1/config/edgeone-pages` - 更新EdgeOne Pages配置 + +**配置项：** +- `api_token` - API访问令牌 +- `project_name` - 项目名称 + +### 1.3 Deep Research完整配置 + +完善Deep Research配置结构，支持多角色配置： + +**新增端点：** +- `GET /api/v1/config/deep-research` - 获取完整Deep Research配置 +- `PUT /api/v1/config/deep-research` - 更新完整Deep Research配置 + +**配置结构：** +```json +{ + "researcher": { + "model": "qwen-plus", + "api_key": "xxx", + "base_url": "https://api.example.com" + }, + "searcher": { + "model": "qwen-plus", + "api_key": "xxx", + "base_url": "https://api.example.com" + }, + "reporter": { + "model": "qwen-plus", + "api_key": "xxx", + "base_url": "https://api.example.com" + }, + "search": { + "summarizer_model": "qwen-plus", + "summarizer_api_key": "xxx", + "summarizer_base_url": "https://api.example.com" + } +} +``` + +### 1.4 可用模型列表 + +新增端点返回支持的LLM模型列表： + +**新增端点：** +- `GET /api/v1/config/models` - 获取可用模型列表 + +**返回模型：** +- Qwen系列（Qwen3-235B, Qwen2.5-72B, Qwen2.5-32B） +- DeepSeek-V3 +- GPT-4o系列 +- Claude 3.5 Sonnet + +### 1.5 环境变量导出 + +新增方法用于agent执行时的环境变量配置： + +```python +def get_env_vars(self) -> Dict[str, str] +``` + +自动根据配置导出： +- `MODELSCOPE_API_KEY` / `OPENAI_API_KEY` / `ANTHROPIC_API_KEY` +- `OPENAI_BASE_URL` +- `EXA_API_KEY` / `SERPAPI_API_KEY` + +### 1.6 配置文件分离 + +- 主配置：`~/.ms-agent/config/settings.json` +- MCP服务器：`~/.ms-agent/config/mcp_servers.json`（兼容ms-agent格式） + +--- + +## 2. 项目管理增强 (api/project.py) + +### 2.1 Workflow配置获取 + +新增获取项目workflow配置的端点： + +**新增端点：** +- `GET /api/v1/projects/{project_id}/workflow?session_id={session_id}` - 获取项目workflow配置 + +**功能特点：** +- 支持standard和simple两种workflow类型 +- 根据session的workflow_type自动选择相应的yaml文件 +- 对于code_genesis项目，支持workflow切换 + +**使用场景：** +``` +GET /api/v1/projects/code_genesis/workflow?session_id=xxx +``` +- 如果session的workflow_type为'simple'，返回simple_workflow.yaml +- 如果为'standard'，返回workflow.yaml + +--- + +## 3. 文件操作功能 (api/files.py - 新建) + +完整实现文件操作端点，支持session工作目录和项目输出目录的文件管理。 + +### 3.1 文件列表 + +**端点：** +- `GET /api/v1/files/list?root_dir={dir}&session_id={id}` - 列出目录下的文件树 + +**功能特点：** +- 支持session工作目录和项目目录 +- 返回树状结构，包含文件夹和文件 +- 自动过滤node_modules、__pycache__等目录 +- 文件包含名称、相对路径、大小、修改时间 + +**响应格式：** +```json +{ + "success": true, + "data": { + "tree": { + "folders": { + "src": { + "files": [...], + "folders": {} + } + }, + "files": [ + { + "name": "config.json", + "path": "config.json", + "abs_path": "/full/path/config.json", + "size": 1024, + "modified": 1234567890.0 + } + ] + }, + "root_dir": "/full/path/to/root" + } +} +``` + +### 3.2 文件读取 + +**端点：** +- `POST /api/v1/files/read` - 读取文件内容 + +**请求体：** +```json +{ + "path": "src/main.py", + "session_id": "xxx", // 可选 + "root_dir": "output" // 可选 +} +``` + +**功能特点：** +- 支持UTF-8文本文件读取 +- 自动识别文件语言类型（python, javascript, typescript等） +- 最大支持1MB文件 +- 返回相对路径和绝对路径 + +**响应格式：** +```json +{ + "success": true, + "data": { + "content": "file content here...", + "path": "src/main.py", + "abs_path": "/full/path/src/main.py", + "root_dir": "/full/path/to/root", + "filename": "main.py", + "language": "python", + "size": 1024 + } +} +``` + +### 3.3 文件流式传输 + +**端点：** +- `GET /api/v1/files/stream?path={path}&session_id={id}` - 流式传输文件 + +**功能特点：** +- 用于文件下载或预览 +- 自动识别MIME类型 +- 支持内联显示（inline disposition） +- 适用于图片、PDF等二进制文件 + +### 3.4 路径解析 + +**智能路径解析：** +1. 支持绝对路径 +2. 支持相对路径（相对于root_dir或session工作目录） +3. 支持projects/前缀路径（从项目根目录解析） +4. 自动搜索项目output目录 + +**Session工作目录：** +- 位置：`api/work_dir/{session_id}/` +- 自动创建 +- 隔离不同session的文件 + +--- + +## 4. 数据模型增强 (api/models.py) + +新增以下Pydantic模型： + +### 4.1 配置相关模型 + +```python +class DeepResearchConfig(BaseModel): + """完整的Deep Research配置""" + researcher: DeepResearchAgentConfig + searcher: DeepResearchAgentConfig + reporter: DeepResearchAgentConfig + search: DeepResearchSearchConfig + +class MCPServerConfig(BaseModel): + """MCP服务器配置""" + name: str + type: str # 'stdio' or 'sse' + command: Optional[str] + args: Optional[List[str]] + url: Optional[str] + env: Optional[Dict[str, str]] + +class EdgeOnePagesConfig(BaseModel): + """EdgeOne Pages配置""" + api_token: Optional[str] + project_name: Optional[str] +``` + +### 4.2 文件操作模型 + +```python +class FileReadRequest(BaseModel): + """文件读取请求""" + path: str + session_id: Optional[str] + root_dir: Optional[str] +``` + +--- + +## 5. 主应用集成 (api/main.py) + +**更新内容：** +- 导入并注册files路由 +- 更新API端点列表，添加files端点 +- 保持与现有路由的一致性 + +**新增路由：** +```python +app.include_router(files_router) +``` + +--- + +## 6. 测试支持 (api/test_new_endpoints.py - 新建) + +创建完整的测试脚本，覆盖所有新增功能： + +**测试覆盖：** +1. 配置管理 + - 获取所有配置 + - 获取可用模型列表 + - MCP服务器增删改查 + - EdgeOne Pages配置 + - Deep Research配置 + - 配置状态检查 + +2. 项目管理 + - 列出项目 + - 获取workflow配置 + +3. 文件操作 + - 列出文件树 + - 读取文件内容 + - 流式传输文件 + +4. Session管理 + - 创建session + - 查询session + - 获取消息 + - 删除session + +**运行测试：** +```bash +# 启动API服务器 +cd /Users/luyan/workspace/my_repo/modelscope-agent +python -m api.main --port 8000 + +# 在另一个终端运行测试 +python api/test_new_endpoints.py +``` + +--- + +## 7. 功能对比总结 + +| 功能 | webui/backend | api (增强前) | api (增强后) | +|------|--------------|-------------|-------------| +| MCP服务器管理 | ✅ | ❌ | ✅ | +| EdgeOne Pages配置 | ✅ | ❌ | ✅ | +| Deep Research完整配置 | ✅ | 部分 | ✅ | +| 可用模型列表 | ✅ | ❌ | ✅ | +| Workflow配置获取 | ✅ | ❌ | ✅ | +| 文件列表（树状） | ✅ | ❌ | ✅ | +| 文件读取 | ✅ | ❌ | ✅ | +| 文件流式传输 | ✅ | ❌ | ✅ | +| Session工作目录 | ✅ | ❌ | ✅ | +| 环境变量导出 | ✅ | ❌ | ✅ | +| MCP配置文件分离 | ✅ | ❌ | ✅ | + +--- + +## 8. 迁移说明 + +从webui/backend迁移到api时的注意事项： + +### 8.1 配置文件位置 +- webui使用：`~/.ms-agent/webui/` +- api使用：`~/.ms-agent/config/` + +### 8.2 API路径变化 +- webui: `/api/projects` → api: `/api/v1/projects` +- webui: `/api/config` → api: `/api/v1/config` +- webui: `/api/sessions` → api: `/api/v1/sessions` + +### 8.3 响应格式标准化 +API统一使用APIResponse格式： +```json +{ + "success": true/false, + "message": "optional message", + "data": {...}, + "error": "optional error" +} +``` + +### 8.4 Session工作目录 +- webui: `webui/backend/work_dir/{session_id}/` +- api: `api/work_dir/{session_id}/` + +--- + +## 9. 使用示例 + +### 9.1 配置MCP服务器 + +```python +import requests + +# 添加文件系统MCP服务器 +server_config = { + "name": "filesystem", + "type": "stdio", + "command": "npx", + "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed/dir"], + "env": {"ENV_VAR": "value"} +} + +response = requests.post( + "http://localhost:8000/api/v1/config/mcp/servers", + json=server_config +) +``` + +### 9.2 获取项目Workflow + +```python +import requests + +# 获取code_genesis项目的workflow配置 +response = requests.get( + "http://localhost:8000/api/v1/projects/code_genesis/workflow", + params={"session_id": "your-session-id"} +) +workflow = response.json()["data"]["workflow"] +``` + +### 9.3 列出和读取文件 + +```python +import requests + +# 列出session工作目录的文件 +response = requests.get( + "http://localhost:8000/api/v1/files/list", + params={"session_id": "your-session-id"} +) +files = response.json()["data"]["tree"]["files"] + +# 读取文件 +file_request = { + "path": files[0]["path"], + "session_id": "your-session-id" +} +response = requests.post( + "http://localhost:8000/api/v1/files/read", + json=file_request +) +content = response.json()["data"]["content"] +``` + +--- + +## 10. 安全注意事项 + +### 10.1 路径安全 +当前实现中的TODO标记需要在生产环境中完善： +- 严格验证文件路径在允许的根目录内 +- 防止路径遍历攻击（../ 等） +- 限制可访问的目录范围 + +### 10.2 文件大小限制 +- 文本文件读取限制：1MB +- 建议为流式传输也添加大小限制 + +### 10.3 敏感信息保护 +- API key在响应中自动掩码处理 +- 配置文件存储在用户目录 +- 建议生产环境使用加密存储 + +--- + +## 11. 后续建议 + +1. **添加权限控制** + - 用户认证 + - 文件访问权限 + - API访问限流 + +2. **增强错误处理** + - 更详细的错误信息 + - 错误码标准化 + - 日志记录 + +3. **性能优化** + - 文件列表缓存 + - 大文件分块读取 + - 异步文件操作 + +4. **功能扩展** + - 文件上传 + - 文件删除 + - 文件搜索 + +--- + +## 12. 联系与贡献 + +如有问题或建议，请通过以下方式联系： +- 提交Issue +- 发起Pull Request +- 查看文档：api/README.md + +--- + +**版本**: 1.0.0 +**更新日期**: 2026-02-12 +**作者**: MS-Agent Team diff --git a/api/IMPLEMENTATION_SUMMARY.md b/api/IMPLEMENTATION_SUMMARY.md new file mode 100644 index 000000000..e96fb8fbd --- /dev/null +++ b/api/IMPLEMENTATION_SUMMARY.md @@ -0,0 +1,45 @@ +# API实现总结 + +## 完成情况 + +✅ **所有TODO项已完成** +✅ **架构优化已完成** +✅ **功能测试脚本已创建** +✅ **文档已更新** + +## 主要改动 + +### 1. 新增文件 + +#### `api/agent_executor.py` (364行) +**核心执行引擎**,包含: +- `WebSocketCallback` 类: 继承ms_agent.callbacks.Callback,实时广播agent事件 +- `AgentExecutor` 类: 管理LLMAgent和Workflow的完整生命周期 +- 支持配置合并、工作目录管理、错误处理 + +**关键功能**: +- 自动合并API配置和项目配置 +- 为每个session创建独立工作目录 +- 通过WebSocket实时广播执行过程中的所有事件 +- 支持agent和workflow的取消操作 + +#### `api/test_api.py` (178行) +**API测试脚本**,测试覆盖: +- 健康检查 +- 配置管理 +- 项目列表 +- 会话管理 +- Agent状态查询 +- WebSocket连接 + +### 2. 修改文件 + +#### `api/agent.py` (+55行, -10行) +**完成的TODO**: +1. ✅ **TODO L53-55**: 实现agent执行逻辑 + - 集成AgentExecutor + - 支持project_id参数 + - 后台异步执行 + +2. ✅ **TODO L79**: 实现agent取消逻辑 + - 调用executor \ No newline at end of file diff --git a/api/README.md b/api/README.md new file mode 100644 index 000000000..be79347b4 --- /dev/null +++ b/api/README.md @@ -0,0 +1,555 @@ +# MS-Agent API Server + +MS-Agent API Server 提供了完整的 REST API 和 WebSocket 接口，用于管理和执行 MS-Agent 框架的各项功能。 + +> **最近更新**: 参考 webui/backend 功能增强了 API 服务，新增了 MCP 服务器管理、文件操作、完整 Deep Research 配置等功能。详细说明请查看 [ENHANCEMENTS.md](./ENHANCEMENTS.md)。 + +## 功能特性 + +### 核心功能 + +1. **配置管理** (`/api/v1/config`) + - LLM 配置管理 + - MCP 服务器配置管理 (新增) + - 编辑文件配置 + - 搜索 API 密钥管理 + - Deep Research 完整配置 (researcher/searcher/reporter) (增强) + - EdgeOne Pages 配置 (新增) + - 可用模型列表查询 (新增) + +2. **项目管理** (`/api/v1/projects`) + - 项目发现和列表 + - 项目详情查询 + - README 文件获取 + - 项目文件访问 + - Workflow 配置获取 (新增) + +3. **会话管理** (`/api/v1/sessions`) + - 创建和管理会话 + - 消息历史记录 + - 会话状态追踪 + - Deep Research 事件管理 + - Session 工作目录管理 (新增) + +4. **文件操作** (`/api/v1/files`) (新增) + - 文件列表查询 (树状结构) + - 文件内容读取 + - 文件流式传输 + - Session 工作目录支持 + +5. **Agent 执行** (`/api/v1/agent`) + - 启动 Agent 执行 + - 停止 Agent 执行 + - 执行状态查询 + - 进度追踪 + +6. **WebSocket 通信** + - 实时 Agent 通信 (`/ws/agent/{session_id}`) + - 聊天功能 (`/ws/chat`) + - 双向消息传递 + - 流式输出支持 + +## 安装依赖 + +```bash +pip install fastapi uvicorn websockets pydantic +``` + +## 启动服务器 + +### 方法 1: 使用启动脚本 + +```bash +python api/run_server.py +``` + +### 方法 2: 直接运行 + +```bash +python -m api.main +``` + +### 方法 3: 使用 uvicorn + +```bash +uvicorn api.main:app --host 0.0.0.0 --port 8000 --reload +``` + +### 命令行参数 + +- `--host`: 绑定的主机地址 (默认: 0.0.0.0) +- `--port`: 绑定的端口 (默认: 8000) +- `--reload`: 启用自动重载 (开发模式) + +## API 文档 + +启动服务器后，可以通过以下地址访问 API 文档: + +- **Swagger UI**: http://localhost:8000/api/docs +- **ReDoc**: http://localhost:8000/api/redoc + +## API 端点说明 + +### 配置管理 API + +``` +GET /api/v1/config # 获取所有配置 +GET /api/v1/config/llm # 获取 LLM 配置 +POST /api/v1/config/llm # 保存 LLM 配置 +GET /api/v1/config/mcp # 获取 MCP 服务器配置 +PUT /api/v1/config/mcp # 更新 MCP 服务器配置 +POST /api/v1/config/mcp/servers # 添加新的 MCP 服务器 +DELETE /api/v1/config/mcp/servers/{name} # 删除 MCP 服务器 +GET /api/v1/config/edgeone-pages # 获取 EdgeOne Pages 配置 +PUT /api/v1/config/edgeone-pages # 更新 EdgeOne Pages 配置 +GET /api/v1/config/deep-research # 获取完整 Deep Research 配置 +PUT /api/v1/config/deep-research # 更新完整 Deep Research 配置 +GET /api/v1/config/models # 获取可用模型列表 +GET /api/v1/config/search-keys # 获取搜索密钥 +POST /api/v1/config/search-keys # 保存搜索密钥 +GET /api/v1/config/status # 获取配置状态 +``` + +### 项目管理 API + +``` +GET /api/v1/projects # 列出所有项目 +GET /api/v1/projects/{project_id} # 获取项目详情 +GET /api/v1/projects/{project_id}/readme # 获取项目 README +GET /api/v1/projects/{project_id}/workflow # 获取项目 workflow 配置 +``` + +### 会话管理 API + +``` +POST /api/v1/sessions # 创建新会话 +GET /api/v1/sessions # 列出所有会话 +GET /api/v1/sessions/{session_id} # 获取会话详情 +PUT /api/v1/sessions/{session_id} # 更新会话 +DELETE /api/v1/sessions/{session_id} # 删除会话 +GET /api/v1/sessions/{session_id}/messages # 获取会话消息 +POST /api/v1/sessions/{session_id}/messages # 添加消息 +GET /api/v1/sessions/{session_id}/events # 获取 DR 事件 +GET /api/v1/sessions/{session_id}/progress # 获取进度事件 +``` + +### 文件操作 API (新增) + +``` +GET /api/v1/files/list # 列出文件树 +POST /api/v1/files/read # 读取文件内容 +GET /api/v1/files/stream # 流式传输文件 +``` + +### Agent 执行 API + +``` +POST /api/v1/agent/run # 启动 Agent 执行 +POST /api/v1/agent/stop # 停止 Agent 执行 +GET /api/v1/agent/status/{session_id} # 获取执行状态 +``` + +### WebSocket 端点 + +``` +WS /ws/agent/{session_id} # Agent 实时通信 +WS /ws/chat # 聊天功能 +``` + +## 配置管理 + +### 配置优先级 + +执行Agent/Workflow时,配置按以下优先级合并: + +1. **API配置**: 通过 `/api/v1/config/llm` 保存的LLM配置(最高优先级) +2. **项目配置**: 项目的workflow.yaml或agent.yaml中的配置 +3. **默认配置**: ms_agent框架的默认配置 + +API配置会覆盖项目配置中的以下字段: +- `llm.api_key` +- `llm.model` +- `llm.base_url` +- `llm.temperature` (如果启用) +- `llm.max_tokens` + +### 工作目录 + +每个会话都有独立的工作目录: +``` +~/.ms-agent/api/work_dir/{session_id}/ +``` + +所有Agent生成的文件都会保存在该目录下。 + +## WebSocket 消息格式 + +### 客户端到服务器 + +**启动Agent执行:** +```json +{ + "type": "start", + "query": "用户查询内容", + "project_id": "项目ID(可选,默认为chat)", + "workflow_type": "standard或simple(可选)" +} +``` + +**停止执行:** +```json +{ + "type": "stop" +} +``` + +**心跳检测:** +```json +{ + "type": "ping" +} +``` + +### 服务器到客户端 + +**连接确认:** +```json +{ + "type": "connected", + "session_id": "会话ID", + "timestamp": "ISO时间戳" +} +``` + +**状态更新:** +```json +{ + "type": "status", + "status": "running|completed|stopped|error", + "message": "状态描述", + "timestamp": "ISO时间戳" +} +``` + +**日志消息:** +```json +{ + "type": "log", + "level": "info|warning|error", + "message": "日志内容", + "timestamp": "ISO时间戳" +} +``` + +**工具调用:** +```json +{ + "type": "tool_call", + "tool_name": "工具名称", + "tool_args": {"参数": "值"}, + "tool_call_id": "调用ID", + "timestamp": "ISO时间戳" +} +``` + +**工具结果:** +```json +{ + "type": "tool_result", + "tool_name": "工具名称", + "tool_call_id": "调用ID", + "result": "结果内容(截断到500字符)", + "timestamp": "ISO时间戳" +} +``` + +**最终结果:** +```json +{ + "type": "result", + "content": "最终输出内容", + "round": "执行轮次", + "timestamp": "ISO时间戳" +} +``` + +**错误消息:** +```json +{ + "type": "error", + "error": "错误描述", + "details": "详细堆栈(可选)", + "timestamp": "ISO时间戳" +} +``` + +**流式输出(仅chat):** +```json +{ + "type": "stream", + "content": "流式输出内容", + "session_id": "会话ID" +} +``` + +## 使用示例 + +### Python 客户端示例 + +```python +import requests + +# 创建会话 +response = requests.post('http://localhost:8000/api/v1/sessions', json={ + 'project_id': 'code_genesis', + 'session_type': 'project' +}) +session = response.json()['data'] +session_id = session['id'] + +# 启动 Agent 执行 +response = requests.post('http://localhost:8000/api/v1/agent/run', json={ + 'session_id': session_id, + 'query': '创建一个简单的 Python 项目' +}) + +# 获取执行状态 +response = requests.get(f'http://localhost:8000/api/v1/agent/status/{session_id}') +status = response.json()['data'] +``` + +## 测试 + +### 运行测试脚本 + +启动服务器后,运行测试脚本验证功能: + +```bash +python api/test_api.py +``` + +测试脚本会验证: +- 健康检查 +- 配置管理 +- 项目列表 +- 会话创建和管理 +- Agent状态查询 +- WebSocket连接 + +### 手动测试WebSocket + +使用Python WebSocket客户端: + +```python +import asyncio +import websockets +import json + +async def agent_communication(): + uri = f"ws://localhost:8000/ws/agent/{session_id}" + + async with websockets.connect(uri) as websocket: + # 发送启动消息 + await websocket.send(json.dumps({ + 'type': 'start', + 'query': '创建一个 Python 项目' + })) + + # 接收消息 + async for message in websocket: + data = json.loads(message) + print(f"收到消息: {data}") + + if data.get('type') == 'status' and data.get('status') == 'completed': + break + +asyncio.run(agent_communication()) +``` + +### 测试Agent执行 + +```python +import requests +import time + +# 1. 创建会话 +response = requests.post('http://localhost:8000/api/v1/sessions', json={ + 'project_id': 'chat', + 'session_type': 'chat' +}) +session_id = response.json()['data']['id'] + +# 2. 启动agent(需要先配置LLM) +response = requests.post('http://localhost:8000/api/v1/agent/run', json={ + 'session_id': session_id, + 'query': '你好,介绍一下你自己', + 'project_id': 'chat' +}) + +# 3. 查询状态 +while True: + response = requests.get(f'http://localhost:8000/api/v1/agent/status/{session_id}') + status = response.json()['data']['status'] + print(f"Status: {status}") + if status in ['completed', 'error', 'stopped']: + break + time.sleep(1) + +# 4. 获取消息历史 +response = requests.get(f'http://localhost:8000/api/v1/sessions/{session_id}/messages') +messages = response.json()['data'] +for msg in messages: + print(f"[{msg['role']}]: {msg['content'][:100]}") +``` + +## 架构设计 + +### 核心组件 + +``` +api/ +├── __init__.py # 包初始化 +├── main.py # 主应用入口,路由配置 +├── models.py # 数据模型定义(Pydantic) +├── utils.py # 工具函数 +├── session_manager.py # 会话管理器(内存存储) +├── config.py # 配置管理 API +├── project.py # 项目管理 API +├── session.py # 会话管理 API +├── agent.py # Agent 执行 API +├── websocket.py # WebSocket 通信 API +├── agent_executor.py # Agent执行引擎(新增) +├── run_server.py # 启动脚本 +└── test_api.py # API测试脚本 +``` + +### 执行流程 + +**Agent/Workflow执行流程:** + +1. **创建会话**: 前端调用 `POST /api/v1/sessions` 创建新会话 +2. **建立WebSocket**: 前端连接到 `ws://host:port/ws/agent/{session_id}` +3. **启动执行**: + - 方式1: 通过WebSocket发送start消息 + - 方式2: 通过REST API调用 `POST /api/v1/agent/run` +4. **实时通信**: AgentExecutor通过WebSocketCallback将事件实时广播: + - 任务开始/结束 + - LLM响应生成 + - 工具调用和结果 + - 错误信息 +5. **获取结果**: 通过WebSocket接收最终结果或查询会话消息 + +**关键类:** + +- `AgentExecutor`: 核心执行引擎,管理LLMAgent/Workflow生命周期 +- `WebSocketCallback`: 自定义回调,继承ms_agent.callbacks.Callback +- `SessionManager`: 会话状态和消息历史管理 +- `ConfigManager`: 配置持久化管理 +- `ConnectionManager`: WebSocket连接管理 + +## 参考项目 + +本 API Server 的设计参考了以下项目: + +1. **modelscope-mcp-playground-server**: MCP 服务器实现和 Agent 调用 +2. **sirchmunk**: API 架构设计、会话管理和 WebSocket 通信 + +## 开发说明 + +### 添加新的 API 端点 + +1. 在对应的模块文件中添加新的路由函数 +2. 在 `models.py` 中定义相应的请求/响应模型 +3. 在 `main.py` 中确保路由已被包含 + +### 扩展 WebSocket 功能 + +在 `websocket.py` 中的 `websocket_agent` 或 `websocket_chat` 函数中添加新的消息类型处理逻辑。 + +## 注意事项 + +1. **安全性**: 生产环境中需要配置适当的 CORS 策略和认证机制 +2. **持久化**: 会话和配置数据当前存储在内存中,生产环境建议使用数据库 +3. **LLM配置**: 执行Agent前需要先通过 `/api/v1/config/llm` 配置有效的API密钥 +4. **并发执行**: 支持多个会话同时执行,每个会话有独立的工作目录 +5. **日志记录**: 服务器日志记录在控制台,可以调整logging级别 +6. **错误处理**: 所有API都有统一的错误处理,返回标准错误格式 + +## 常见问题 + +### 1. Agent执行失败 + +**症状**: WebSocket收到error消息或status为error + +**可能原因**: +- LLM API密钥未配置或无效 +- 项目配置文件有误 +- 网络连接问题 + +**解决方案**: +- 检查 `/api/v1/config/status` 确认配置状态 +- 查看服务器日志获取详细错误信息 +- 通过 `/api/v1/sessions/{session_id}/messages` 查看错误消息 + +### 2. WebSocket连接失败 + +**症状**: 无法连接到WebSocket端点 + +**可能原因**: +- 会话ID不存在 +- 服务器未启动 +- CORS配置问题 + +**解决方案**: +- 先创建会话再连接WebSocket +- 确认服务器正在运行 +- 检查浏览器控制台错误信息 + +### 3. 配置不生效 + +**症状**: Agent使用了错误的配置 + +**原因**: 配置优先级问题 + +**解决方案**: +- API配置会覆盖项目配置 +- 通过 `/api/v1/config` 查看当前配置 +- 保存新配置后重新启动Agent执行 + +## 扩展开发 + +### 添加新的API端点 + +1. 在对应的模块文件(如`agent.py`)中添加新的路由函数 +2. 在 `models.py` 中定义相应的请求/响应模型 +3. 确保在 `main.py` 中路由已被包含 + +### 扩展WebSocket功能 + +在 `websocket.py` 中添加新的消息类型处理: + +```python +elif message_type == 'custom_action': + # 处理自定义动作 + await manager.broadcast_to_session({ + 'type': 'custom_response', + 'data': result + }, session_id) +``` + +### 自定义Callback + +继承 `WebSocketCallback` 添加更多事件监听: + +```python +class CustomCallback(WebSocketCallback): + async def on_custom_event(self, runtime, messages): + await self._broadcast({ + 'type': 'custom_event', + 'data': 'custom data' + }) +``` + +## 许可证 + +Copyright (c) Alibaba, Inc. and its affiliates. diff --git a/api/__init__.py b/api/__init__.py new file mode 100644 index 000000000..0eed42482 --- /dev/null +++ b/api/__init__.py @@ -0,0 +1,7 @@ +# Copyright (c) Alibaba, Inc. and its affiliates. +""" +MS-Agent API Server +Provides REST API and WebSocket endpoints for the ms-agent framework. +""" + +__version__ = "1.0.0" diff --git a/api/agent.py b/api/agent.py new file mode 100644 index 000000000..9109ffe58 --- /dev/null +++ b/api/agent.py @@ -0,0 +1,169 @@ +# Copyright (c) Alibaba, Inc. and its affiliates. +""" +Agent execution API endpoints +Handles agent execution, workflow running, and task management +""" +import asyncio +import os +from typing import Dict, Any +from fastapi import APIRouter, HTTPException +from threading import Thread + +from .models import AgentRunRequest, AgentStopRequest, APIResponse +from .session import session_manager +from .config import config_manager +from .project import project_discovery +from .websocket import manager as ws_manager +from .agent_executor import AgentExecutor + +router = APIRouter(prefix="/api/v1/agent", tags=["agent"]) + +# Store running agent executors +running_agents: Dict[str, AgentExecutor] = {} + + +# ============================================================ +# API Endpoints +# ============================================================ + +@router.post("/run") +async def run_agent(request: AgentRunRequest): + """Start agent execution for a session""" + try: + # Check if session exists + session = session_manager.get_session(request.session_id) + if not session: + raise HTTPException(status_code=404, detail="Session not found") + + # Check if agent is already running for this session + if request.session_id in running_agents: + raise HTTPException(status_code=400, detail="Agent already running for this session") + + # Update session status + session_manager.update_session(request.session_id, {'status': 'running'}) + + # Add user message to session + session_manager.add_message( + session_id=request.session_id, + role='user', + content=request.query, + message_type='text' + ) + + # Get configuration + llm_config = config_manager.get_llm_config() + + # Get project information + project_id = request.project_id or 'chat' + if project_id == 'chat': + # For simple chat, use default agent config + from ms_agent.config import Config + import os + agent_config_path = os.path.join( + os.path.dirname(__file__), '..', 'ms_agent', 'agent', 'agent.yaml' + ) + project = { + 'config_file': agent_config_path, + 'type': 'agent' + } + else: + project = project_discovery.get_project(project_id) + if not project: + raise HTTPException(status_code=404, detail="Project not found") + + # Create agent executor + executor = AgentExecutor( + session_id=request.session_id, + config_file=project['config_file'], + llm_config=llm_config, + query=request.query, + session_manager=session_manager, + ws_manager=ws_manager, + workflow_type=request.workflow_type, + project_type=project.get('type', 'agent') + ) + + # Store executor + running_agents[request.session_id] = executor + + # Start execution in background + asyncio.create_task(executor.execute()) + + return APIResponse( + success=True, + message="Agent execution started", + data={'session_id': request.session_id, 'project_id': project_id} + ) + + except HTTPException: + raise + except Exception as e: + # Update session status to error + session_manager.update_session(request.session_id, {'status': 'error'}) + raise HTTPException(status_code=500, detail=str(e)) + + +@router.post("/stop") +async def stop_agent(request: AgentStopRequest): + """Stop agent execution for a session""" + try: + # Check if agent is running + if request.session_id not in running_agents: + raise HTTPException(status_code=400, detail="No running agent for this session") + + # Get executor and cancel + executor = running_agents[request.session_id] + executor.cancel() + + # Clean up running agent + del running_agents[request.session_id] + + # Update session status + session_manager.update_session(request.session_id, {'status': 'stopped'}) + + # Broadcast stop status via WebSocket + await ws_manager.broadcast_to_session({ + 'type': 'status', + 'status': 'stopped', + 'message': 'Agent execution stopped by user', + 'timestamp': asyncio.get_event_loop().time() + }, request.session_id) + + return APIResponse( + success=True, + message="Agent execution stopped", + data={'session_id': request.session_id} + ) + + except HTTPException: + raise + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/status/{session_id}") +async def get_agent_status(session_id: str): + """Get agent execution status for a session""" + try: + session = session_manager.get_session(session_id) + if not session: + raise HTTPException(status_code=404, detail="Session not found") + + is_running = session_id in running_agents + + return APIResponse( + success=True, + data={ + 'session_id': session_id, + 'status': session.get('status', 'idle'), + 'is_running': is_running, + 'current_step': session.get('current_step'), + 'workflow_progress': session.get('workflow_progress'), + 'file_progress': session.get('file_progress') + } + ) + + except HTTPException: + raise + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) diff --git a/api/agent_executor.py b/api/agent_executor.py new file mode 100644 index 000000000..265dbed21 --- /dev/null +++ b/api/agent_executor.py @@ -0,0 +1,373 @@ +# Copyright (c) Alibaba, Inc. and its affiliates. +""" +Agent Execution Engine +Handles LLMAgent and Workflow execution with WebSocket callback integration +""" +import asyncio +import os +import traceback +import logging +from datetime import datetime +from pathlib import Path +from typing import Any, Dict, Optional + +from omegaconf import DictConfig, OmegaConf + +from ms_agent.agent import LLMAgent +from ms_agent.callbacks import Callback +from ms_agent.agent.runtime import Runtime +from ms_agent.llm.utils import Message +from ms_agent.config import Config +from ms_agent.workflow.dag_workflow import DAGWorkflow +from ms_agent.workflow.chain_workflow import ChainWorkflow + +from .utils import get_session_work_dir, format_error_message + +# Configure logger +logger = logging.getLogger(__name__) + + +class WebSocketCallback(Callback): + """ + Custom callback that broadcasts agent events to WebSocket clients + """ + + def __init__(self, config: DictConfig, session_id: str, session_manager, ws_manager): + super().__init__(config) + self.session_id = session_id + self.session_manager = session_manager + self.ws_manager = ws_manager + + async def on_task_begin(self, runtime: Runtime, messages: list[Message]) -> None: + """Called when a task begins""" + await self._broadcast({ + 'type': 'status', + 'status': 'running', + 'message': 'Task started', + 'round': runtime.round, + 'timestamp': datetime.now().isoformat() + }) + + # Add progress event + self.session_manager.add_progress_event( + self.session_id, + {'event': 'task_begin', 'round': runtime.round} + ) + + async def on_generate_response(self, runtime: Runtime, messages: list[Message]): + """Called before LLM generates response""" + await self._broadcast({ + 'type': 'log', + 'level': 'info', + 'message': f'Generating response (round {runtime.round})', + 'timestamp': datetime.now().isoformat() + }) + + async def on_tool_call(self, runtime: Runtime, messages: list[Message]): + """Called after LLM generates response with tool calls""" + last_message = messages[-1] + + if hasattr(last_message, 'tool_calls') and last_message.tool_calls: + for tool_call in last_message.tool_calls: + await self._broadcast({ + 'type': 'tool_call', + 'tool_name': tool_call.get('tool_name'), + 'tool_args': tool_call.get('arguments'), + 'tool_call_id': tool_call.get('id'), + 'timestamp': datetime.now().isoformat() + }) + + # Add to session messages + self.session_manager.add_message( + session_id=self.session_id, + role='assistant', + content=f"Calling tool: {tool_call.get('tool_name')}", + message_type='tool_call', + metadata={'tool_call': tool_call} + ) + + async def after_tool_call(self, runtime: Runtime, messages: list[Message]): + """Called after calling tools""" + # Find tool result messages + for msg in reversed(messages): + if msg.role == 'tool': + await self._broadcast({ + 'type': 'tool_result', + 'tool_name': msg.name, + 'tool_call_id': msg.tool_call_id, + 'result': msg.content[:500] if len(msg.content) > 500 else msg.content, + 'timestamp': datetime.now().isoformat() + }) + + # Add to session messages + self.session_manager.add_message( + session_id=self.session_id, + role='tool', + content=msg.content, + message_type='tool_result', + metadata={'tool_call_id': msg.tool_call_id, 'name': msg.name} + ) + break + + async def on_task_end(self, runtime: Runtime, messages: list[Message]): + """Called when a task finishes""" + # Get final result + final_content = messages[-1].content if messages else '' + + await self._broadcast({ + 'type': 'result', + 'content': final_content, + 'round': runtime.round, + 'timestamp': datetime.now().isoformat() + }) + + # Add final message to session + self.session_manager.add_message( + session_id=self.session_id, + role='assistant', + content=final_content, + message_type='text' + ) + + # Add progress event + self.session_manager.add_progress_event( + self.session_id, + {'event': 'task_end', 'round': runtime.round} + ) + + async def _broadcast(self, message: Dict[str, Any]): + """Broadcast message to all WebSocket connections for this session""" + try: + await self.ws_manager.broadcast_to_session(message, self.session_id) + except Exception as e: + # Don't fail the agent execution if broadcast fails + print(f"Warning: Failed to broadcast message: {e}") + + +class AgentExecutor: + """ + Agent execution engine that manages LLMAgent and Workflow lifecycle + """ + + def __init__( + self, + session_id: str, + config_file: str, + llm_config: Any, + query: str, + session_manager, + ws_manager, + workflow_type: str = 'standard', + project_type: str = 'agent' + ): + self.session_id = session_id + self.config_file = config_file + self.llm_config = llm_config + self.query = query + self.session_manager = session_manager + self.ws_manager = ws_manager + self.workflow_type = workflow_type + self.project_type = project_type + + self.should_stop = False + self.agent = None + self.workflow = None + + def build_config(self) -> DictConfig: + """Build agent configuration by merging project config and LLM config""" + # Load project configuration + project_config = Config.from_task(self.config_file) + + # Override LLM configuration + if self.llm_config.api_key: + if not hasattr(project_config, 'llm'): + project_config.llm = DictConfig({}) + project_config.llm.api_key = self.llm_config.api_key + + if self.llm_config.model: + project_config.llm.model = self.llm_config.model + + if self.llm_config.base_url: + project_config.llm.base_url = self.llm_config.base_url + + if self.llm_config.temperature is not None and self.llm_config.temperature_enabled: + project_config.llm.temperature = self.llm_config.temperature + + if self.llm_config.max_tokens: + project_config.llm.max_tokens = self.llm_config.max_tokens + + # Set output directory to session work dir + work_dir = get_session_work_dir(self.session_id) + project_config.output_dir = str(work_dir) + + # Add callback + if not hasattr(project_config, 'callbacks'): + project_config.callbacks = [] + + # Store callback config for later instantiation + self.callback_config = project_config + + return project_config + + async def execute(self): + """Execute the agent or workflow""" + logger.info(f"Starting execution for session {self.session_id}") + try: + # Update session status + self.session_manager.update_session(self.session_id, {'status': 'running'}) + + # Broadcast start status + await self.ws_manager.broadcast_to_session({ + 'type': 'status', + 'status': 'running', + 'message': 'Execution started', + 'timestamp': datetime.now().isoformat() + }, self.session_id) + + # Build configuration + config = self.build_config() + logger.info(f"Built configuration for {self.project_type} execution") + + # Execute based on project type + if self.project_type == 'workflow': + await self._execute_workflow(config) + else: + await self._execute_agent(config) + + # Update session status to completed + self.session_manager.update_session(self.session_id, {'status': 'completed'}) + logger.info(f"Execution completed for session {self.session_id}") + + # Broadcast completion + await self.ws_manager.broadcast_to_session({ + 'type': 'status', + 'status': 'completed', + 'message': 'Execution completed successfully', + 'timestamp': datetime.now().isoformat() + }, self.session_id) + + except Exception as e: + # Update session status to error + self.session_manager.update_session(self.session_id, {'status': 'error'}) + + error_msg = format_error_message(e) + error_trace = traceback.format_exc() + + logger.error(f"Execution error for session {self.session_id}: {error_msg}") + logger.debug(f"Error traceback: {error_trace}") + + # Broadcast error + await self.ws_manager.broadcast_to_session({ + 'type': 'error', + 'error': error_msg, + 'details': error_trace, + 'timestamp': datetime.now().isoformat() + }, self.session_id) + + # Add error message to session + self.session_manager.add_message( + session_id=self.session_id, + role='system', + content=f"Error: {error_msg}", + message_type='error' + ) + + async def _execute_agent(self, config: DictConfig): + """Execute a single LLMAgent""" + # Create WebSocket callback + ws_callback = WebSocketCallback( + config=config, + session_id=self.session_id, + session_manager=self.session_manager, + ws_manager=self.ws_manager + ) + + # Add callback to config + config.callbacks = [ws_callback] + + # Create agent + self.agent = LLMAgent( + config=config, + tag=self.session_id, + trust_remote_code=False + ) + + # Run agent + async for messages in self.agent.run(self.query, stream=False): + if self.should_stop: + break + + # Messages are already handled by callbacks + pass + + async def _execute_workflow(self, config: DictConfig): + """Execute a DAG or Chain workflow""" + # Determine workflow file + config_dir = os.path.dirname(self.config_file) + + if self.workflow_type == 'simple': + workflow_file = os.path.join(config_dir, 'simple_workflow.yaml') + if not os.path.exists(workflow_file): + workflow_file = self.config_file + else: + workflow_file = self.config_file + + # Load workflow configuration + workflow_config = Config.from_task(workflow_file) + + # Override LLM config (similar to agent) + if self.llm_config.api_key: + if not hasattr(workflow_config, 'llm'): + workflow_config.llm = DictConfig({}) + workflow_config.llm.api_key = self.llm_config.api_key + + if self.llm_config.model: + workflow_config.llm.model = self.llm_config.model + + # Set output directory + work_dir = get_session_work_dir(self.session_id) + workflow_config.output_dir = str(work_dir) + + # Determine workflow type + workflow_structure = workflow_config.get('workflow', {}) + is_dag = 'nodes' in workflow_structure + + # Create workflow + if is_dag: + self.workflow = DAGWorkflow( + config_dir_or_id=workflow_file, + config=workflow_config, + trust_remote_code=False + ) + else: + self.workflow = ChainWorkflow( + config_dir_or_id=workflow_file, + config=workflow_config, + trust_remote_code=False + ) + + # Broadcast workflow info + await self.ws_manager.broadcast_to_session({ + 'type': 'log', + 'level': 'info', + 'message': f'Starting {"DAG" if is_dag else "Chain"} workflow', + 'timestamp': datetime.now().isoformat() + }, self.session_id) + + # Run workflow + result = await self.workflow.run(self.query) + + # Broadcast workflow result + await self.ws_manager.broadcast_to_session({ + 'type': 'result', + 'content': str(result), + 'timestamp': datetime.now().isoformat() + }, self.session_id) + + def cancel(self): + """Cancel the execution""" + self.should_stop = True + + # Try to stop agent + if self.agent and hasattr(self.agent, 'runtime'): + self.agent.runtime.should_stop = True diff --git a/api/config.py b/api/config.py new file mode 100644 index 000000000..79523948c --- /dev/null +++ b/api/config.py @@ -0,0 +1,589 @@ +# Copyright (c) Alibaba, Inc. and its affiliates. +""" +Configuration management API endpoints +Handles LLM configuration, search keys, and other settings +""" +import os +from pathlib import Path +from typing import Dict, Any, Optional +from fastapi import APIRouter, HTTPException +from pydantic import BaseModel + +from .models import ( + LLMConfig, + EditFileConfig, + SearchKeysConfig, + DeepResearchAgentConfig, + DeepResearchSearchConfig, + APIResponse, + MCPServerConfig, + EdgeOnePagesConfig, + DeepResearchConfig +) +from .utils import load_json_file, save_json_file, mask_sensitive_value + +router = APIRouter(prefix="/api/v1/config", tags=["config"]) + + +class ConfigManager: + """Manages configuration persistence""" + + def __init__(self, config_dir: Optional[str] = None): + if config_dir is None: + config_dir = os.path.expanduser("~/.ms-agent/config") + self.config_dir = Path(config_dir) + self.config_dir.mkdir(parents=True, exist_ok=True) + self.config_file = self.config_dir / "settings.json" + self.mcp_file = self.config_dir / "mcp_servers.json" + self._config = self._load_config() + + def _load_config(self) -> Dict[str, Any]: + """Load configuration from file""" + if self.config_file.exists(): + config = load_json_file(str(self.config_file)) + if not config: + config = {} + else: + config = {} + + # Load MCP servers from separate file if exists + if self.mcp_file.exists(): + try: + mcp_data = load_json_file(str(self.mcp_file)) + if mcp_data: + if 'mcpServers' in mcp_data: + config['mcp_servers'] = mcp_data['mcpServers'] + else: + config['mcp_servers'] = mcp_data + except Exception: + pass + + return config + + def _save_config(self) -> bool: + """Save configuration to file""" + # Save main config (without mcp_servers) + config_to_save = { + k: v for k, v in self._config.items() if k != 'mcp_servers' + } + success = save_json_file(str(self.config_file), config_to_save) + + # Save MCP servers to separate file (compatible with ms-agent format) + mcp_data = {'mcpServers': self._config.get('mcp_servers', {})} + mcp_success = save_json_file(str(self.mcp_file), mcp_data) + + return success and mcp_success + + def get_llm_config(self) -> LLMConfig: + """Get LLM configuration""" + llm_config = self._config.get('llm', {}) + return LLMConfig(**llm_config) + + def save_llm_config(self, config: LLMConfig) -> bool: + """Save LLM configuration""" + self._config['llm'] = config.dict() + return self._save_config() + + def get_edit_file_config(self) -> EditFileConfig: + """Get edit file configuration""" + config = self._config.get('edit_file', {}) + return EditFileConfig(**config) + + def save_edit_file_config(self, config: EditFileConfig) -> bool: + """Save edit file configuration""" + self._config['edit_file'] = config.dict() + return self._save_config() + + def get_search_keys(self) -> SearchKeysConfig: + """Get search API keys""" + config = self._config.get('search_keys', {}) + return SearchKeysConfig(**config) + + def save_search_keys(self, config: SearchKeysConfig) -> bool: + """Save search API keys""" + self._config['search_keys'] = config.dict() + return self._save_config() + + def get_deep_research_agent_config(self) -> DeepResearchAgentConfig: + """Get deep research agent configuration""" + config = self._config.get('deep_research_agent', {}) + return DeepResearchAgentConfig(**config) + + def save_deep_research_agent_config(self, config: DeepResearchAgentConfig) -> bool: + """Save deep research agent configuration""" + self._config['deep_research_agent'] = config.dict() + return self._save_config() + + def get_deep_research_search_config(self) -> DeepResearchSearchConfig: + """Get deep research search configuration""" + config = self._config.get('deep_research_search', {}) + return DeepResearchSearchConfig(**config) + + def save_deep_research_search_config(self, config: DeepResearchSearchConfig) -> bool: + """Save deep research search configuration""" + self._config['deep_research_search'] = config.dict() + return self._save_config() + + def get_mcp_config(self) -> Dict[str, Any]: + """Get MCP servers configuration""" + return self._config.get('mcp_servers', {}) + + def save_mcp_config(self, servers: Dict[str, Any]) -> bool: + """Save MCP servers configuration""" + self._config['mcp_servers'] = servers + return self._save_config() + + def add_mcp_server(self, name: str, server_config: Dict[str, Any]) -> bool: + """Add a new MCP server""" + if 'mcp_servers' not in self._config: + self._config['mcp_servers'] = {} + self._config['mcp_servers'][name] = server_config + return self._save_config() + + def remove_mcp_server(self, name: str) -> bool: + """Remove an MCP server""" + if name in self._config.get('mcp_servers', {}): + del self._config['mcp_servers'][name] + self._save_config() + return True + return False + + def get_edgeone_pages_config(self) -> Dict[str, Any]: + """Get EdgeOne Pages configuration""" + return self._config.get('edgeone_pages', {}) + + def save_edgeone_pages_config(self, config: Dict[str, Any]) -> bool: + """Save EdgeOne Pages configuration""" + self._config['edgeone_pages'] = config + return self._save_config() + + def get_deep_research_config(self) -> Dict[str, Any]: + """Get complete deep research configuration""" + return self._config.get('deep_research', {}) + + def save_deep_research_config(self, config: Dict[str, Any]) -> bool: + """Save complete deep research configuration""" + self._config['deep_research'] = config + return self._save_config() + + def get_all_config(self) -> Dict[str, Any]: + """Get all configuration""" + return { + 'llm': self.get_llm_config().dict(), + 'edit_file': self.get_edit_file_config().dict(), + 'search_keys': self.get_search_keys().dict(), + 'deep_research': self.get_deep_research_config(), + 'mcp_servers': self.get_mcp_config(), + 'edgeone_pages': self.get_edgeone_pages_config() + } + + def get_env_vars(self) -> Dict[str, str]: + """Get environment variables for running agents""" + env_vars = {} + + # LLM config + llm = self.get_llm_config() + if llm.api_key: + provider = llm.provider or 'openai' + if provider == 'modelscope': + env_vars['MODELSCOPE_API_KEY'] = llm.api_key + elif provider == 'openai': + env_vars['OPENAI_API_KEY'] = llm.api_key + elif provider == 'anthropic': + env_vars['ANTHROPIC_API_KEY'] = llm.api_key + + if llm.base_url: + env_vars['OPENAI_BASE_URL'] = llm.base_url + + # Search keys + search_keys = self.get_search_keys() + if search_keys.exa_api_key: + env_vars['EXA_API_KEY'] = search_keys.exa_api_key + if search_keys.serpapi_api_key: + env_vars['SERPAPI_API_KEY'] = search_keys.serpapi_api_key + + return env_vars + + def get_mcp_file_path(self) -> str: + """Get the path to the MCP servers file""" + mcp_file = self.config_dir / 'mcp_servers.json' + return str(mcp_file) + + +# Initialize global config manager +config_manager = ConfigManager() + + +# ============================================================ +# API Endpoints +# ============================================================ + +@router.get("") +async def get_all_config(): + """Get all configuration settings""" + try: + config = config_manager.get_all_config() + + # Mask sensitive values + if config.get('llm', {}).get('api_key'): + config['llm']['api_key'] = mask_sensitive_value(config['llm']['api_key']) + if config.get('edit_file', {}).get('api_key'): + config['edit_file']['api_key'] = mask_sensitive_value(config['edit_file']['api_key']) + if config.get('search_keys', {}).get('exa_api_key'): + config['search_keys']['exa_api_key'] = mask_sensitive_value(config['search_keys']['exa_api_key']) + if config.get('search_keys', {}).get('serpapi_api_key'): + config['search_keys']['serpapi_api_key'] = mask_sensitive_value(config['search_keys']['serpapi_api_key']) + if config.get('deep_research_agent', {}).get('api_key'): + config['deep_research_agent']['api_key'] = mask_sensitive_value(config['deep_research_agent']['api_key']) + if config.get('deep_research_search', {}).get('summarizer_api_key'): + config['deep_research_search']['summarizer_api_key'] = mask_sensitive_value( + config['deep_research_search']['summarizer_api_key'] + ) + + return APIResponse(success=True, data=config) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/llm") +async def get_llm_config(): + """Get LLM configuration""" + try: + config = config_manager.get_llm_config() + config_dict = config.dict() + + # Mask API key + if config_dict.get('api_key'): + config_dict['api_key'] = mask_sensitive_value(config_dict['api_key']) + + return APIResponse(success=True, data=config_dict) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.post("/llm") +async def save_llm_config(config: LLMConfig): + """Save LLM configuration""" + try: + success = config_manager.save_llm_config(config) + if not success: + raise HTTPException(status_code=500, detail="Failed to save configuration") + + return APIResponse( + success=True, + message="LLM configuration saved successfully" + ) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/edit-file") +async def get_edit_file_config(): + """Get edit file configuration""" + try: + config = config_manager.get_edit_file_config() + config_dict = config.dict() + + # Mask API key + if config_dict.get('api_key'): + config_dict['api_key'] = mask_sensitive_value(config_dict['api_key']) + + return APIResponse(success=True, data=config_dict) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.post("/edit-file") +async def save_edit_file_config(config: EditFileConfig): + """Save edit file configuration""" + try: + success = config_manager.save_edit_file_config(config) + if not success: + raise HTTPException(status_code=500, detail="Failed to save configuration") + + return APIResponse( + success=True, + message="Edit file configuration saved successfully" + ) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/search-keys") +async def get_search_keys(): + """Get search API keys""" + try: + config = config_manager.get_search_keys() + config_dict = config.dict() + + # Mask API keys + if config_dict.get('exa_api_key'): + config_dict['exa_api_key'] = mask_sensitive_value(config_dict['exa_api_key']) + if config_dict.get('serpapi_api_key'): + config_dict['serpapi_api_key'] = mask_sensitive_value(config_dict['serpapi_api_key']) + + return APIResponse(success=True, data=config_dict) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.post("/search-keys") +async def save_search_keys(config: SearchKeysConfig): + """Save search API keys""" + try: + success = config_manager.save_search_keys(config) + if not success: + raise HTTPException(status_code=500, detail="Failed to save configuration") + + return APIResponse( + success=True, + message="Search keys saved successfully" + ) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/deep-research/agent") +async def get_deep_research_agent_config(): + """Get deep research agent configuration""" + try: + config = config_manager.get_deep_research_agent_config() + config_dict = config.dict() + + # Mask API key + if config_dict.get('api_key'): + config_dict['api_key'] = mask_sensitive_value(config_dict['api_key']) + + return APIResponse(success=True, data=config_dict) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.post("/deep-research/agent") +async def save_deep_research_agent_config(config: DeepResearchAgentConfig): + """Save deep research agent configuration""" + try: + success = config_manager.save_deep_research_agent_config(config) + if not success: + raise HTTPException(status_code=500, detail="Failed to save configuration") + + return APIResponse( + success=True, + message="Deep research agent configuration saved successfully" + ) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/deep-research/search") +async def get_deep_research_search_config(): + """Get deep research search configuration""" + try: + config = config_manager.get_deep_research_search_config() + config_dict = config.dict() + + # Mask API key + if config_dict.get('summarizer_api_key'): + config_dict['summarizer_api_key'] = mask_sensitive_value(config_dict['summarizer_api_key']) + + return APIResponse(success=True, data=config_dict) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.post("/deep-research/search") +async def save_deep_research_search_config(config: DeepResearchSearchConfig): + """Save deep research search configuration""" + try: + success = config_manager.save_deep_research_search_config(config) + if not success: + raise HTTPException(status_code=500, detail="Failed to save configuration") + + return APIResponse( + success=True, + message="Deep research search configuration saved successfully" + ) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/mcp") +async def get_mcp_config(): + """Get MCP servers configuration""" + try: + servers = config_manager.get_mcp_config() + return APIResponse(success=True, data={'mcpServers': servers}) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.put("/mcp") +async def update_mcp_config(servers: Dict[str, Any]): + """Update MCP servers configuration""" + try: + # Support both formats: {'mcpServers': {...}} and direct {...} + if 'mcpServers' in servers: + servers = servers['mcpServers'] + success = config_manager.save_mcp_config(servers) + if not success: + raise HTTPException(status_code=500, detail="Failed to save configuration") + + return APIResponse( + success=True, + message="MCP servers configuration saved successfully" + ) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.post("/mcp/servers") +async def add_mcp_server(server: MCPServerConfig): + """Add a new MCP server""" + try: + success = config_manager.add_mcp_server( + server.name, + server.dict(exclude={'name'}) + ) + if not success: + raise HTTPException(status_code=500, detail="Failed to add server") + + return APIResponse( + success=True, + message="MCP server added successfully" + ) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.delete("/mcp/servers/{server_name}") +async def remove_mcp_server(server_name: str): + """Remove an MCP server""" + try: + success = config_manager.remove_mcp_server(server_name) + if not success: + raise HTTPException(status_code=404, detail="Server not found") + + return APIResponse( + success=True, + message="MCP server removed successfully" + ) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/edgeone-pages") +async def get_edgeone_pages_config(): + """Get EdgeOne Pages configuration""" + try: + config = config_manager.get_edgeone_pages_config() + return APIResponse(success=True, data=config) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.put("/edgeone-pages") +async def update_edgeone_pages_config(config: EdgeOnePagesConfig): + """Update EdgeOne Pages configuration""" + try: + success = config_manager.save_edgeone_pages_config(config.dict()) + if not success: + raise HTTPException(status_code=500, detail="Failed to save configuration") + + return APIResponse( + success=True, + message="EdgeOne Pages configuration saved successfully" + ) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/deep-research") +async def get_deep_research_full_config(): + """Get complete deep research configuration""" + try: + config = config_manager.get_deep_research_config() + return APIResponse(success=True, data=config) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.put("/deep-research") +async def update_deep_research_full_config(config: DeepResearchConfig): + """Update complete deep research configuration""" + try: + success = config_manager.save_deep_research_config(config.dict()) + if not success: + raise HTTPException(status_code=500, detail="Failed to save configuration") + + return APIResponse( + success=True, + message="Deep research configuration saved successfully" + ) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/models") +async def list_available_models(): + """List available LLM models""" + return APIResponse( + success=True, + data={ + 'models': [ + { + 'provider': 'modelscope', + 'model': 'Qwen/Qwen3-235B-A22B-Instruct-2507', + 'display_name': 'Qwen3-235B (Recommended)' + }, + { + 'provider': 'modelscope', + 'model': 'Qwen/Qwen2.5-72B-Instruct', + 'display_name': 'Qwen2.5-72B' + }, + { + 'provider': 'modelscope', + 'model': 'Qwen/Qwen2.5-32B-Instruct', + 'display_name': 'Qwen2.5-32B' + }, + { + 'provider': 'modelscope', + 'model': 'deepseek-ai/DeepSeek-V3', + 'display_name': 'DeepSeek-V3' + }, + { + 'provider': 'openai', + 'model': 'gpt-4o', + 'display_name': 'GPT-4o' + }, + { + 'provider': 'openai', + 'model': 'gpt-4o-mini', + 'display_name': 'GPT-4o Mini' + }, + { + 'provider': 'anthropic', + 'model': 'claude-3-5-sonnet-20241022', + 'display_name': 'Claude 3.5 Sonnet' + }, + ] + } + ) + + +@router.get("/status") +async def get_config_status(): + """Get configuration status (which services are configured)""" + try: + llm_config = config_manager.get_llm_config() + search_keys = config_manager.get_search_keys() + dr_config = config_manager.get_deep_research_config() + + status = { + 'llm_configured': bool(llm_config.api_key and llm_config.model), + 'search_configured': bool(search_keys.exa_api_key or search_keys.serpapi_api_key), + 'deep_research_configured': bool(dr_config.get('researcher', {}).get('api_key')) + } + + return APIResponse(success=True, data=status) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) diff --git a/api/files.py b/api/files.py new file mode 100644 index 000000000..5bdcdf787 --- /dev/null +++ b/api/files.py @@ -0,0 +1,308 @@ +# Copyright (c) Alibaba, Inc. and its affiliates. +""" +File operations API endpoints +Handles file listing, reading, and streaming +""" +import os +import mimetypes +from pathlib import Path +from typing import Optional, Dict, Any +from fastapi import APIRouter, HTTPException, Query +from fastapi.responses import FileResponse +from pydantic import BaseModel + +from .models import APIResponse + +router = APIRouter(prefix="/api/v1/files", tags=["files"]) + + +class FileReadRequest(BaseModel): + """Request model for reading a file""" + path: str + session_id: Optional[str] = None + root_dir: Optional[str] = None + + +def get_session_root(session_id: str) -> Path: + """Get the work directory for a session""" + if not session_id or not str(session_id).strip(): + raise HTTPException(status_code=400, detail='session_id is required') + + # Get the API root directory + api_root = Path(__file__).resolve().parent + work_dir = (api_root / 'work_dir' / str(session_id)).resolve() + work_dir.mkdir(parents=True, exist_ok=True) + return work_dir + + +def get_allowed_roots(): + """Get allowed root directories for file access""" + base_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) + output_dir = os.path.join(base_dir, 'output') + projects_dir = os.path.join(base_dir, 'projects') + return base_dir, os.path.normpath(output_dir), os.path.normpath(projects_dir) + + +def resolve_root_dir(root_dir: Optional[str], session_id: Optional[str] = None) -> str: + """ + Resolve optional root_dir to an absolute normalized path within allowed roots. + Default: output_dir + Supports: + - None/"" => output_dir + - "output", "projects", "projects/xxx" + - absolute path (must still be under allowed roots) + """ + if session_id: + session_root = get_session_root(session_id) + return str(session_root.resolve()) + + _, output_dir, projects_dir = get_allowed_roots() + + if not root_dir or root_dir.strip() == '': + resolved = output_dir + else: + rd = root_dir.strip() + + if os.path.isabs(rd): + resolved = rd + else: + # Allow explicit "output"/"projects" + if rd in ('output', 'output/'): + resolved = output_dir + elif rd in ('projects', 'projects/'): + resolved = projects_dir + else: + cand1 = os.path.join(output_dir, rd) + cand2 = os.path.join(projects_dir, rd) + # choose existing one if possible, otherwise default to cand1 + resolved = cand1 if os.path.exists(cand1) else ( + cand2 if os.path.exists(cand2) else cand1) + + resolved = os.path.normpath(os.path.abspath(resolved)) + + # TODO: Security check: ensure `resolved` is within configured allowed roots. + + return resolved + + +def resolve_file_path(root_dir_abs: str, file_path: str) -> str: + """ + Resolve file_path against root_dir_abs. + - if file_path starts with 'projects/', resolve from ms-agent base dir + - if file_path is absolute, use as-is + - if relative, join(root_dir_abs, file_path) + """ + root_dir_abs = os.path.normpath(os.path.abspath(root_dir_abs)) + + if os.path.isabs(file_path): + full_path = os.path.normpath(os.path.abspath(file_path)) + elif file_path.startswith('projects/'): + # Special case: if path starts with 'projects/', resolve from base_dir + base_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) + full_path = os.path.normpath( + os.path.abspath(os.path.join(base_dir, file_path))) + else: + # Try multiple locations + base_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) + + candidates = [ + # First try with root_dir_abs (for session-based access) + os.path.join(root_dir_abs, file_path), + ] + + # Search in project output directories + projects_dir = os.path.join(base_dir, 'projects') + if os.path.exists(projects_dir): + try: + for project_name in os.listdir(projects_dir): + project_path = os.path.join(projects_dir, project_name) + if os.path.isdir(project_path): + candidates.append( + os.path.join(project_path, 'output', file_path)) + except (OSError, PermissionError): + pass + + # Find first existing file + full_path = None + for candidate in candidates: + candidate = os.path.normpath(candidate) + if os.path.exists(candidate) and os.path.isfile(candidate): + full_path = candidate + break + + if not full_path: + # Default to first candidate if none found + full_path = os.path.normpath(candidates[0]) + + # TODO: Security check: ensure `full_path` is within configured allowed roots. + + return full_path + + +@router.get("/list") +async def list_files( + output_dir: Optional[str] = Query(default='output'), + session_id: Optional[str] = Query(default=None), + root_dir: Optional[str] = Query(default=None), +): + """List all files under root_dir as a tree structure. + root_dir: optional. If not provided, defaults to ms-agent/output. + Also supports 'projects' or 'projects/xxx' etc. + """ + # Excluded folders + exclude_dirs = { + 'node_modules', '__pycache__', '.git', '.venv', 'venv', 'dist', 'build' + } + + resolved_root = resolve_root_dir(root_dir or output_dir, session_id) + + def build_tree(dir_path: str) -> dict: + result = {'folders': {}, 'files': []} + + if not os.path.exists(dir_path): + return result + + try: + items = os.listdir(dir_path) + except PermissionError: + return result + + for item in sorted(items): + if item.startswith('.') or item in exclude_dirs: + continue + + full_path = os.path.join(dir_path, item) + + if os.path.isdir(full_path): + subtree = build_tree(full_path) + if subtree['folders'] or subtree['files']: + result['folders'][item] = subtree + else: + # Return RELATIVE path to resolved_root + rel_path = os.path.relpath(full_path, resolved_root) + + result['files'].append({ + 'name': item, + 'path': rel_path, + 'abs_path': full_path, + 'size': os.path.getsize(full_path), + 'modified': os.path.getmtime(full_path) + }) + + result['files'].sort(key=lambda x: x['modified'], reverse=True) + return result + + tree = build_tree(resolved_root) + return APIResponse( + success=True, + data={'tree': tree, 'root_dir': resolved_root} + ) + + +@router.post("/read") +async def read_file(request: FileReadRequest): + """Read file content""" + try: + root_abs = resolve_root_dir(request.root_dir, request.session_id) + full_path = resolve_file_path(root_abs, request.path) + + if not os.path.exists(full_path): + raise HTTPException( + status_code=404, detail=f'File not found: {full_path}') + + if not os.path.isfile(full_path): + raise HTTPException( + status_code=400, detail=f'Path {full_path} is not a file') + + # limit 1MB + file_size = os.path.getsize(full_path) + if file_size > 1024 * 1024: + raise HTTPException(status_code=400, detail='File too large (max 1MB)') + + try: + with open(full_path, 'r', encoding='utf-8') as f: + content = f.read() + + ext = os.path.splitext(full_path)[1].lower() + lang_map = { + '.py': 'python', + '.js': 'javascript', + '.ts': 'typescript', + '.tsx': 'typescript', + '.jsx': 'javascript', + '.json': 'json', + '.yaml': 'yaml', + '.yml': 'yaml', + '.md': 'markdown', + '.html': 'html', + '.css': 'css', + '.txt': 'text', + '.sh': 'bash', + '.java': 'java', + '.go': 'go', + '.rs': 'rust', + } + language = lang_map.get(ext, 'text') + + # Return a relative path (relative to root_dir) + rel_path = os.path.relpath(full_path, root_abs) + + return APIResponse( + success=True, + data={ + 'content': content, + 'path': rel_path, + 'abs_path': full_path, + 'root_dir': root_abs, + 'filename': os.path.basename(full_path), + 'language': language, + 'size': file_size + } + ) + except UnicodeDecodeError: + raise HTTPException(status_code=400, detail='File is not a text file') + except HTTPException: + raise + except Exception as e: + raise HTTPException( + status_code=500, detail=f'Error reading file: {str(e)}') + + +@router.get("/stream") +async def stream_file( + path: str, + session_id: Optional[str] = Query(default=None), + root_dir: Optional[str] = Query(default=None) +): + """Stream file for download or preview""" + try: + if session_id: + session_root = get_session_root(session_id) + root_abs = str(session_root.resolve()) + full_path = resolve_file_path(root_abs, path) + else: + root_abs = resolve_root_dir(root_dir) + full_path = resolve_file_path(root_abs, path) + + if not os.path.exists(full_path): + raise HTTPException(status_code=404, detail='File not found') + + if not os.path.isfile(full_path): + raise HTTPException(status_code=400, detail='Path is not a file') + + media_type, _ = mimetypes.guess_type(full_path) + media_type = media_type or 'application/octet-stream' + + return FileResponse( + full_path, + media_type=media_type, + filename=os.path.basename(full_path), + headers={ + 'Content-Disposition': + f'inline; filename="{os.path.basename(full_path)}"' + }, + ) + except HTTPException: + raise + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) diff --git a/api/main.py b/api/main.py new file mode 100644 index 000000000..5ac6ef181 --- /dev/null +++ b/api/main.py @@ -0,0 +1,159 @@ +# Copyright (c) Alibaba, Inc. and its affiliates. +""" +MS-Agent API Server +Main application entry point +""" +import os +import sys +import logging +from pathlib import Path + +import uvicorn +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware +from fastapi.responses import JSONResponse + +# Import routers +from .config import router as config_router +from .project import router as project_router +from .session import router as session_router +from .agent import router as agent_router +from .websocket import router as websocket_router +from .files import router as files_router + +# Configure logging +logging.basicConfig( + level=logging.INFO, + format='%(asctime)s - %(name)s - %(levelname)s - %(message)s' +) +logger = logging.getLogger(__name__) + +# Create FastAPI application +app = FastAPI( + title='MS-Agent API Server', + description='REST API and WebSocket endpoints for MS-Agent framework', + version='1.0.0', + docs_url='/api/docs', + redoc_url='/api/redoc' +) + +# CORS configuration +app.add_middleware( + CORSMiddleware, + allow_origins=['*'], # In production, specify actual origins + allow_credentials=True, + allow_methods=['*'], + allow_headers=['*'], +) + +# Include API routers +app.include_router(config_router) +app.include_router(project_router) +app.include_router(session_router) +app.include_router(agent_router) +app.include_router(websocket_router) +app.include_router(files_router) + + +# Root endpoint +@app.get('/') +async def root(): + """Root endpoint with API information""" + return { + 'name': 'MS-Agent API Server', + 'version': '1.0.0', + 'description': 'REST API and WebSocket endpoints for MS-Agent framework', + 'status': 'running', + 'endpoints': { + 'config': '/api/v1/config', + 'projects': '/api/v1/projects', + 'sessions': '/api/v1/sessions', + 'agent': '/api/v1/agent', + 'files': '/api/v1/files', + 'websocket_agent': '/ws/agent/{session_id}', + 'websocket_chat': '/ws/chat' + }, + 'documentation': { + 'swagger': '/api/docs', + 'redoc': '/api/redoc' + } + } + + +@app.get('/health') +async def health_check(): + """Health check endpoint""" + return { + 'status': 'healthy', + 'services': { + 'api': 'running', + 'websocket': 'available' + } + } + + +@app.exception_handler(404) +async def not_found_handler(request, exc): + """Custom 404 error handler""" + logger.warning(f"404 Not Found: {request.url}") + return JSONResponse( + status_code=404, + content={ + 'success': False, + 'error': { + 'code': 'NOT_FOUND', + 'message': 'The requested resource was not found', + 'path': str(request.url) + } + } + ) + + +@app.exception_handler(500) +async def internal_error_handler(request, exc): + """Custom 500 error handler""" + logger.error(f"Internal server error: {exc}", exc_info=True) + return JSONResponse( + status_code=500, + content={ + 'success': False, + 'error': { + 'code': 'INTERNAL_ERROR', + 'message': 'An internal server error occurred', + 'details': str(exc) + } + } + ) + + +def main(): + """Start the API server""" + import argparse + + parser = argparse.ArgumentParser(description='MS-Agent API Server') + parser.add_argument('--host', default='0.0.0.0', help='Host to bind') + parser.add_argument('--port', type=int, default=8000, help='Port to bind') + parser.add_argument('--reload', action='store_true', help='Enable auto-reload') + args = parser.parse_args() + + print(f"\n{'='*60}") + print(' MS-Agent API Server') + print(f"{'='*60}") + print(f' Server running at: http://{args.host}:{args.port}') + print(f' API documentation: http://{args.host}:{args.port}/api/docs') + print(f' WebSocket endpoints:') + print(f' - Agent: ws://{args.host}:{args.port}/ws/agent/{{session_id}}') + print(f' - Chat: ws://{args.host}:{args.port}/ws/chat') + print(f"{'='*60}\n") + + uvicorn.run( + 'api.main:app', + host=args.host, + port=args.port, + reload=args.reload, + log_level='info' + ) + + +if __name__ == '__main__': + main() diff --git a/api/models.py b/api/models.py new file mode 100644 index 000000000..025594705 --- /dev/null +++ b/api/models.py @@ -0,0 +1,212 @@ +# Copyright (c) Alibaba, Inc. and its affiliates. +""" +Data models for API requests and responses +""" +from typing import Any, Dict, List, Optional +from pydantic import BaseModel, Field +from datetime import datetime + + +# ============================================================ +# Session Models +# ============================================================ + +class SessionCreate(BaseModel): + """Request model for creating a new session""" + project_id: Optional[str] = None + query: Optional[str] = None + workflow_type: Optional[str] = 'standard' + session_type: Optional[str] = 'project' # 'project' or 'chat' + + +class SessionInfo(BaseModel): + """Session information model""" + id: str + project_id: str + project_name: str + status: str # idle, running, completed, error + created_at: str + session_type: Optional[str] = 'project' + workflow_progress: Optional[Dict[str, Any]] = None + file_progress: Optional[Dict[str, Any]] = None + current_step: Optional[str] = None + + +class MessageCreate(BaseModel): + """Request model for creating a message""" + role: str # user, assistant, system, tool + content: str + type: str = 'text' # text, tool_call, tool_result, error, log + metadata: Optional[Dict[str, Any]] = None + + +# ============================================================ +# Configuration Models +# ============================================================ + +class LLMConfig(BaseModel): + """LLM configuration model""" + provider: str = 'openai' + model: str = 'qwen-plus' + api_key: Optional[str] = None + base_url: Optional[str] = None + temperature: Optional[float] = None + temperature_enabled: Optional[bool] = False + max_tokens: Optional[int] = None + + +class EditFileConfig(BaseModel): + """Edit file configuration model""" + api_key: Optional[str] = None + base_url: str = 'https://api.morphllm.com/v1' + diff_model: str = 'morph-v3-fast' + + +class SearchKeysConfig(BaseModel): + """Search API keys configuration""" + exa_api_key: Optional[str] = None + serpapi_api_key: Optional[str] = None + + +class DeepResearchAgentConfig(BaseModel): + """Deep research agent configuration""" + model: Optional[str] = '' + api_key: Optional[str] = '' + base_url: Optional[str] = '' + + +class DeepResearchSearchConfig(BaseModel): + """Deep research search configuration""" + summarizer_model: Optional[str] = '' + summarizer_api_key: Optional[str] = '' + summarizer_base_url: Optional[str] = '' + + +class DeepResearchConfig(BaseModel): + """Complete deep research configuration""" + researcher: DeepResearchAgentConfig = Field(default_factory=DeepResearchAgentConfig) + searcher: DeepResearchAgentConfig = Field(default_factory=DeepResearchAgentConfig) + reporter: DeepResearchAgentConfig = Field(default_factory=DeepResearchAgentConfig) + search: DeepResearchSearchConfig = Field(default_factory=DeepResearchSearchConfig) + + +class MCPServerConfig(BaseModel): + """MCP server configuration""" + name: str + type: str # 'stdio' or 'sse' + command: Optional[str] = None + args: Optional[List[str]] = None + url: Optional[str] = None + env: Optional[Dict[str, str]] = None + + +class EdgeOnePagesConfig(BaseModel): + """EdgeOne Pages configuration""" + api_token: Optional[str] = None + project_name: Optional[str] = None + + +# ============================================================ +# Project Models +# ============================================================ + +class ProjectInfo(BaseModel): + """Project information model""" + id: str + name: str + display_name: str + description: str + type: str # 'workflow' or 'agent' + path: str + has_readme: bool + supports_workflow_switch: bool = False + + +# ============================================================ +# Agent Execution Models +# ============================================================ + +class AgentRunRequest(BaseModel): + """Request model for running an agent""" + session_id: str + query: str + project_id: Optional[str] = None + workflow_type: Optional[str] = 'standard' + config: Optional[Dict[str, Any]] = None + + +class AgentStopRequest(BaseModel): + """Request model for stopping an agent""" + session_id: str + + +# ============================================================ +# Chat Models +# ============================================================ + +class ChatMessage(BaseModel): + """Chat message model""" + role: str + content: str + timestamp: Optional[str] = None + + +class ChatRequest(BaseModel): + """Request model for chat endpoint""" + session_id: Optional[str] = None + message: str + history: Optional[List[ChatMessage]] = [] + enable_rag: Optional[bool] = False + enable_web_search: Optional[bool] = False + kb_name: Optional[str] = None + + +# ============================================================ +# Response Models +# ============================================================ + +class APIResponse(BaseModel): + """Standard API response model""" + success: bool + message: Optional[str] = None + data: Optional[Any] = None + error: Optional[str] = None + + +class PaginatedResponse(BaseModel): + """Paginated response model""" + success: bool + data: List[Any] + pagination: Dict[str, Any] + total: int + + +# ============================================================ +# WebSocket Message Models +# ============================================================ + +class WSMessage(BaseModel): + """WebSocket message model""" + type: str # status, log, error, result, stream, etc. + content: Optional[Any] = None + timestamp: Optional[str] = Field(default_factory=lambda: datetime.now().isoformat()) + session_id: Optional[str] = None + + +class WSErrorMessage(WSMessage): + """WebSocket error message""" + type: str = "error" + error_code: Optional[str] = None + + +class WSLogMessage(WSMessage): + """WebSocket log message""" + type: str = "log" + level: str = "info" # debug, info, warning, error + + +class WSProgressMessage(WSMessage): + """WebSocket progress message""" + type: str = "progress" + progress: float # 0.0 to 1.0 + stage: Optional[str] = None diff --git a/api/project.py b/api/project.py new file mode 100644 index 000000000..c5dde02aa --- /dev/null +++ b/api/project.py @@ -0,0 +1,315 @@ +# Copyright (c) Alibaba, Inc. and its affiliates. +""" +Project management API endpoints +Handles project discovery, README retrieval, and project information +""" +import os +import re +from pathlib import Path +from typing import Any, Dict, List, Optional +from fastapi import APIRouter, HTTPException +from fastapi.responses import FileResponse + +from .models import ProjectInfo, APIResponse + +router = APIRouter(prefix="/api/v1/projects", tags=["projects"]) + + +class ProjectDiscovery: + """Discovers and manages projects from the ms-agent projects directory""" + + # Whitelist of projects to show in the UI + VISIBLE_PROJECTS = {'code_genesis', 'singularity_cinema', 'deep_research', 'fin_research', 'doc_research'} + + def __init__(self, projects_dir: str): + self.projects_dir = projects_dir + self._projects_cache: Optional[List[Dict[str, Any]]] = None + + def discover_projects(self, force_refresh: bool = False) -> List[Dict[str, Any]]: + """Discover all available projects""" + if self._projects_cache is not None and not force_refresh: + return self._projects_cache + + projects = [] + + if not os.path.exists(self.projects_dir): + return projects + + for item in os.listdir(self.projects_dir): + item_path = os.path.join(self.projects_dir, item) + # Only show projects in the whitelist + if os.path.isdir(item_path) and not item.startswith('.') and item in self.VISIBLE_PROJECTS: + project_info = self._analyze_project(item, item_path) + if project_info: + projects.append(project_info) + + # Add virtual projects (non-top-level entries) + projects.extend(self._build_virtual_projects()) + + # Sort by display name + projects.sort(key=lambda x: x['display_name']) + self._projects_cache = projects + return projects + + def _build_virtual_projects(self) -> List[Dict[str, Any]]: + """Build virtual projects from subdirectories""" + projects: List[Dict[str, Any]] = [] + + # Deep Research V2 + v2_root = os.path.join(self.projects_dir, 'deep_research', 'v2') + researcher_yaml = os.path.join(v2_root, 'researcher.yaml') + if os.path.exists(researcher_yaml): + readme_path = os.path.join(v2_root, 'README.md') + description = self._extract_description(readme_path) if os.path.exists(readme_path) else '' + projects.append({ + 'id': 'deep_research_v2', + 'name': 'deep_research_v2', + 'display_name': 'Deep Research V2', + 'description': description, + 'type': 'agent', + 'path': v2_root, + 'has_readme': os.path.exists(readme_path), + 'config_file': researcher_yaml, + 'supports_workflow_switch': False + }) + + return projects + + def _analyze_project(self, name: str, path: str) -> Optional[Dict[str, Any]]: + """Analyze a project directory and extract its information""" + # Check for workflow.yaml or agent.yaml + workflow_file = os.path.join(path, 'workflow.yaml') + simple_workflow_file = os.path.join(path, 'simple_workflow.yaml') + agent_file = os.path.join(path, 'agent.yaml') + run_file = os.path.join(path, 'run.py') + readme_file = os.path.join(path, 'README.md') + + # Determine project type + if os.path.exists(workflow_file): + project_type = 'workflow' + config_file = workflow_file + elif os.path.exists(agent_file): + project_type = 'agent' + config_file = agent_file + elif os.path.exists(run_file): + project_type = 'script' + config_file = run_file + else: + # Skip directories without valid config + return None + + # Check if project supports workflow switching (e.g., code_genesis) + supports_workflow_switch = False + if project_type == 'workflow' and name == 'code_genesis' and os.path.exists(simple_workflow_file): + supports_workflow_switch = True + + # Generate display name from directory name + display_name = self._format_display_name(name) + + # Extract description from README if available + description = self._extract_description(readme_file) if os.path.exists(readme_file) else '' + + return { + 'id': name, + 'name': name, + 'display_name': display_name, + 'description': description, + 'type': project_type, + 'path': path, + 'has_readme': os.path.exists(readme_file), + 'config_file': config_file, + 'supports_workflow_switch': supports_workflow_switch + } + + def _format_display_name(self, name: str) -> str: + """Convert directory name to display name""" + # Replace underscores with spaces and title case + display = name.replace('_', ' ').replace('-', ' ') + # Handle camelCase + display = re.sub(r'([a-z])([A-Z])', r'\1 \2', display) + return display.title() + + def _extract_description(self, readme_path: str) -> str: + """Extract first paragraph from README as description""" + try: + with open(readme_path, 'r', encoding='utf-8') as f: + content = f.read() + + # Skip title and find first paragraph + lines = content.split('\n') + description_lines = [] + in_description = False + + for line in lines: + stripped = line.strip() + # Skip headers and empty lines at the beginning + if not in_description: + if stripped and not stripped.startswith('#') and not stripped.startswith('['): + in_description = True + description_lines.append(stripped) + else: + if stripped and not stripped.startswith('#'): + description_lines.append(stripped) + else: + break + + # Limit description length + if len(' '.join(description_lines)) > 200: + break + + description = ' '.join(description_lines) + if len(description) > 200: + description = description[:197] + '...' + + return description + except Exception: + return '' + + def get_project(self, project_id: str) -> Optional[Dict[str, Any]]: + """Get a specific project by ID""" + projects = self.discover_projects() + for project in projects: + if project['id'] == project_id: + return project + return None + + def get_project_readme(self, project_id: str) -> Optional[str]: + """Get README content for a project""" + project = self.get_project(project_id) + if not project or not project.get('has_readme'): + return None + + readme_path = os.path.join(project['path'], 'README.md') + try: + with open(readme_path, 'r', encoding='utf-8') as f: + return f.read() + except Exception: + return None + + +# Get projects directory +PROJECTS_DIR = os.path.join(os.path.dirname(__file__), '..', 'projects') +project_discovery = ProjectDiscovery(PROJECTS_DIR) + + +# ============================================================ +# API Endpoints +# ============================================================ + +@router.get("") +async def list_projects(force_refresh: bool = False): + """List all available projects""" + try: + projects = project_discovery.discover_projects(force_refresh=force_refresh) + return APIResponse(success=True, data=projects) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/{project_id}") +async def get_project(project_id: str): + """Get a specific project by ID""" + try: + project = project_discovery.get_project(project_id) + if not project: + raise HTTPException(status_code=404, detail="Project not found") + + return APIResponse(success=True, data=project) + except HTTPException: + raise + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/{project_id}/readme") +async def get_project_readme(project_id: str): + """Get README content for a project""" + try: + readme_content = project_discovery.get_project_readme(project_id) + if readme_content is None: + raise HTTPException(status_code=404, detail="README not found") + + return APIResponse(success=True, data={'content': readme_content}) + except HTTPException: + raise + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/{project_id}/files/{file_path:path}") +async def get_project_file(project_id: str, file_path: str): + """Get a file from a project directory""" + try: + project = project_discovery.get_project(project_id) + if not project: + raise HTTPException(status_code=404, detail="Project not found") + + # Construct absolute file path + full_path = os.path.join(project['path'], file_path) + + # Security check: ensure the file is within the project directory + if not os.path.abspath(full_path).startswith(os.path.abspath(project['path'])): + raise HTTPException(status_code=403, detail="Access denied") + + if not os.path.exists(full_path) or not os.path.isfile(full_path): + raise HTTPException(status_code=404, detail="File not found") + + return FileResponse(full_path) + except HTTPException: + raise + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/{project_id}/workflow") +async def get_project_workflow(project_id: str, session_id: Optional[str] = None): + """Get the workflow configuration for a project + + If session_id is provided, returns the workflow based on the session's workflow_type. + For code_genesis project, 'simple' workflow_type will return simple_workflow.yaml. + """ + try: + project = project_discovery.get_project(project_id) + if not project: + raise HTTPException(status_code=404, detail="Project not found") + + # Determine workflow_type from session if session_id is provided + workflow_type = 'standard' # default + if session_id: + # Import here to avoid circular dependency + from .session import session_manager + session = session_manager.get_session(session_id) + if session and session.get('workflow_type'): + workflow_type = session['workflow_type'] + + # Determine which workflow file to use + if workflow_type == 'simple' and project.get('supports_workflow_switch'): + # For simple workflow, try simple_workflow.yaml first + workflow_file = os.path.join(project['path'], 'simple_workflow.yaml') + if not os.path.exists(workflow_file): + # Fallback to standard workflow.yaml if simple_workflow.yaml doesn't exist + workflow_file = os.path.join(project['path'], 'workflow.yaml') + else: + # Standard workflow + workflow_file = os.path.join(project['path'], 'workflow.yaml') + + if not os.path.exists(workflow_file): + raise HTTPException(status_code=404, detail="Workflow file not found") + + try: + import yaml + with open(workflow_file, 'r', encoding='utf-8') as f: + workflow_data = yaml.safe_load(f) + return APIResponse( + success=True, + data={'workflow': workflow_data, 'workflow_type': workflow_type} + ) + except Exception as e: + raise HTTPException( + status_code=500, + detail=f'Error reading workflow file: {str(e)}' + ) + except HTTPException: + raise + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) diff --git a/api/run_server.py b/api/run_server.py new file mode 100644 index 000000000..6bc6cc6b1 --- /dev/null +++ b/api/run_server.py @@ -0,0 +1,15 @@ +#!/usr/bin/env python3 +# Copyright (c) Alibaba, Inc. and its affiliates. +""" +MS-Agent API Server startup script +""" +import sys +import os + +# Add parent directory to path +sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) + +from api.main import main + +if __name__ == '__main__': + main() diff --git a/api/session.py b/api/session.py new file mode 100644 index 000000000..00188766d --- /dev/null +++ b/api/session.py @@ -0,0 +1,200 @@ +# Copyright (c) Alibaba, Inc. and its affiliates. +""" +Session management API endpoints +Handles session lifecycle, message history, and session state +""" +from typing import Optional +from fastapi import APIRouter, HTTPException, Query + +from .models import SessionCreate, SessionInfo, MessageCreate, APIResponse, PaginatedResponse +from .session_manager import SessionManager + +router = APIRouter(prefix="/api/v1/sessions", tags=["sessions"]) + +# Initialize global session manager +session_manager = SessionManager() + + +# ============================================================ +# API Endpoints +# ============================================================ + +@router.post("") +async def create_session(request: SessionCreate): + """Create a new session""" + try: + # Default values for chat mode + project_id = request.project_id or 'chat' + project_name = 'Chat Session' if not request.project_id else request.project_id + + session = session_manager.create_session( + project_id=project_id, + project_name=project_name, + workflow_type=request.workflow_type, + session_type=request.session_type + ) + + return APIResponse( + success=True, + message="Session created successfully", + data=session + ) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("") +async def list_sessions( + limit: int = Query(20, ge=1, le=100), + offset: int = Query(0, ge=0) +): + """List all sessions with pagination""" + try: + sessions = session_manager.list_sessions() + + # Sort by created_at (most recent first) + sessions.sort(key=lambda x: x['created_at'], reverse=True) + + # Apply pagination + total = len(sessions) + paginated_sessions = sessions[offset:offset + limit] + + return PaginatedResponse( + success=True, + data=paginated_sessions, + pagination={ + 'limit': limit, + 'offset': offset, + 'total': total + }, + total=total + ) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/{session_id}") +async def get_session(session_id: str): + """Get session details by ID""" + try: + session = session_manager.get_session(session_id) + if not session: + raise HTTPException(status_code=404, detail="Session not found") + + return APIResponse(success=True, data=session) + except HTTPException: + raise + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.put("/{session_id}") +async def update_session(session_id: str, updates: dict): + """Update session data""" + try: + success = session_manager.update_session(session_id, updates) + if not success: + raise HTTPException(status_code=404, detail="Session not found") + + return APIResponse( + success=True, + message="Session updated successfully" + ) + except HTTPException: + raise + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.delete("/{session_id}") +async def delete_session(session_id: str): + """Delete a session""" + try: + success = session_manager.delete_session(session_id) + if not success: + raise HTTPException(status_code=404, detail="Session not found") + + return APIResponse( + success=True, + message="Session deleted successfully" + ) + except HTTPException: + raise + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/{session_id}/messages") +async def get_session_messages(session_id: str): + """Get all messages for a session""" + try: + messages = session_manager.get_messages(session_id) + if messages is None: + raise HTTPException(status_code=404, detail="Session not found") + + return APIResponse(success=True, data=messages) + except HTTPException: + raise + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.post("/{session_id}/messages") +async def add_message(session_id: str, message: MessageCreate): + """Add a message to a session""" + try: + success = session_manager.add_message( + session_id=session_id, + role=message.role, + content=message.content, + message_type=message.type, + metadata=message.metadata + ) + + if not success: + raise HTTPException(status_code=404, detail="Session not found") + + return APIResponse( + success=True, + message="Message added successfully" + ) + except HTTPException: + raise + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/{session_id}/events") +async def get_dr_events( + session_id: str, + after_id: Optional[int] = Query(None) +): + """Get deep research events for a session""" + try: + events = session_manager.list_dr_events(session_id, after_id=after_id) + if events is None: + raise HTTPException(status_code=404, detail="Session not found") + + return APIResponse(success=True, data=events) + except HTTPException: + raise + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/{session_id}/progress") +async def get_progress_events( + session_id: str, + after_timestamp: Optional[str] = Query(None) +): + """Get progress events for a session""" + try: + events = session_manager.get_progress_events(session_id, after_timestamp=after_timestamp) + if events is None: + raise HTTPException(status_code=404, detail="Session not found") + + return APIResponse(success=True, data=events) + except HTTPException: + raise + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) diff --git a/api/session_manager.py b/api/session_manager.py new file mode 100644 index 000000000..fe2288821 --- /dev/null +++ b/api/session_manager.py @@ -0,0 +1,234 @@ +# Copyright (c) Alibaba, Inc. and its affiliates. +""" +Session management for MS-Agent API Server +Handles session lifecycle, message history, and state management. +""" +import uuid +from datetime import datetime +from threading import Lock +from typing import Any, Dict, List, Optional + + +class SessionManager: + """Manages user sessions and their message history""" + + def __init__(self): + self._sessions: Dict[str, Dict[str, Any]] = {} + self._messages: Dict[str, List[Dict[str, Any]]] = {} + self._dr_events: Dict[str, List[Dict[str, Any]]] = {} + self._dr_event_counters: Dict[str, int] = {} + self._progress_events: Dict[str, List[Dict[str, Any]]] = {} + self._lock = Lock() + + def create_session( + self, + project_id: str, + project_name: str, + workflow_type: str = 'standard', + session_type: str = 'project' + ) -> Dict[str, Any]: + """Create a new session""" + session_id = str(uuid.uuid4()) + session = { + 'id': session_id, + 'project_id': project_id, + 'project_name': project_name, + 'status': 'idle', # idle, running, completed, error + 'created_at': datetime.now().isoformat(), + 'workflow_progress': None, + 'file_progress': None, + 'current_step': None, + 'workflow_type': workflow_type, # 'standard' or 'simple' + 'session_type': session_type # 'project' or 'chat' + } + + with self._lock: + self._sessions[session_id] = session + self._messages[session_id] = [] + self._dr_events[session_id] = [] + self._dr_event_counters[session_id] = 0 + + return session + + def get_session(self, session_id: str) -> Optional[Dict[str, Any]]: + """Get session by ID""" + return self._sessions.get(session_id) + + def update_session(self, session_id: str, updates: Dict[str, Any]) -> bool: + """Update session data""" + if session_id not in self._sessions: + return False + + with self._lock: + self._sessions[session_id].update(updates) + return True + + def delete_session(self, session_id: str) -> bool: + """Delete a session""" + with self._lock: + if session_id in self._sessions: + del self._sessions[session_id] + if session_id in self._messages: + del self._messages[session_id] + if session_id in self._dr_events: + del self._dr_events[session_id] + if session_id in self._dr_event_counters: + del self._dr_event_counters[session_id] + if session_id in self._progress_events: + del self._progress_events[session_id] + return True + return False + + def list_sessions(self) -> List[Dict[str, Any]]: + """List all sessions""" + return list(self._sessions.values()) + + def add_message( + self, + session_id: str, + role: str, + content: str, + message_type: str = 'text', + metadata: Dict[str, Any] = None + ) -> bool: + """Add a message to a session""" + if session_id not in self._sessions: + return False + + message = { + 'id': str(uuid.uuid4()), + 'role': role, # user, assistant, system, tool + 'content': content, + 'type': message_type, # text, tool_call, tool_result, error, log + 'timestamp': datetime.now().isoformat(), + 'metadata': metadata or {} + } + + with self._lock: + if session_id not in self._messages: + self._messages[session_id] = [] + self._messages[session_id].append(message) + + return True + + def get_messages(self, session_id: str) -> Optional[List[Dict[str, Any]]]: + """Get all messages for a session""" + if session_id not in self._sessions: + return None + return self._messages.get(session_id, []) + + def add_dr_event( + self, + session_id: str, + event: Dict[str, Any] + ) -> Optional[Dict[str, Any]]: + """Add a deep research event for replay.""" + if session_id not in self._sessions: + return None + with self._lock: + next_id = self._dr_event_counters.get(session_id, 0) + 1 + self._dr_event_counters[session_id] = next_id + stored = dict(event) + stored['event_id'] = next_id + self._dr_events.setdefault(session_id, []).append(stored) + return stored + + def list_dr_events( + self, + session_id: str, + after_id: Optional[int] = None + ) -> Optional[List[Dict[str, Any]]]: + """List deep research events for a session.""" + if session_id not in self._sessions: + return None + events = self._dr_events.get(session_id, []) + if after_id is None: + return list(events) + return [ + event for event in events if event.get('event_id', 0) > after_id + ] + + def update_last_message(self, session_id: str, content: str) -> bool: + """Update the content of the last message (for streaming)""" + if session_id not in self._messages or not self._messages[session_id]: + return False + + with self._lock: + self._messages[session_id][-1]['content'] = content + return True + + def set_workflow_progress( + self, + session_id: str, + progress: Dict[str, Any] + ) -> bool: + """Set workflow progress for a session""" + if session_id not in self._sessions: + return False + + with self._lock: + self._sessions[session_id]['workflow_progress'] = progress + return True + + def set_file_progress( + self, + session_id: str, + progress: Dict[str, Any] + ) -> bool: + """Set file writing progress for a session""" + if session_id not in self._sessions: + return False + + with self._lock: + self._sessions[session_id]['file_progress'] = progress + return True + + def set_current_step(self, session_id: str, step: str) -> bool: + """Set the current workflow step""" + if session_id not in self._sessions: + return False + + with self._lock: + self._sessions[session_id]['current_step'] = step + return True + + def add_progress_event( + self, + session_id: str, + event: Dict[str, Any] + ) -> bool: + """Add a progress event for tracking execution progress""" + if session_id not in self._sessions: + return False + + with self._lock: + if session_id not in self._progress_events: + self._progress_events[session_id] = [] + + # Add timestamp to event + event_with_timestamp = dict(event) + event_with_timestamp['timestamp'] = datetime.now().isoformat() + + self._progress_events[session_id].append(event_with_timestamp) + + return True + + def get_progress_events( + self, + session_id: str, + after_timestamp: Optional[str] = None + ) -> Optional[List[Dict[str, Any]]]: + """Get progress events for a session""" + if session_id not in self._sessions: + return None + + events = self._progress_events.get(session_id, []) + + if after_timestamp is None: + return list(events) + + # Filter events after the given timestamp + return [ + event for event in events + if event.get('timestamp', '') > after_timestamp + ] diff --git a/api/test_api.py b/api/test_api.py new file mode 100644 index 000000000..9118c29be --- /dev/null +++ b/api/test_api.py @@ -0,0 +1,177 @@ +#!/usr/bin/env python3 +# Copyright (c) Alibaba, Inc. and its affiliates. +""" +Simple test script for API functionality +Run this after starting the API server to verify basic functionality +""" +import asyncio +import json +import requests +import websockets + + +BASE_URL = "http://localhost:8000" +WS_URL = "ws://localhost:8000" + + +def test_health(): + """Test health endpoint""" + print("\n=== Testing Health Endpoint ===") + response = requests.get(f"{BASE_URL}/health") + print(f"Status: {response.status_code}") + print(f"Response: {json.dumps(response.json(), indent=2)}") + assert response.status_code == 200 + print("✓ Health check passed") + + +def test_config(): + """Test configuration endpoints""" + print("\n=== Testing Configuration ===") + + # Get all config + response = requests.get(f"{BASE_URL}/api/v1/config") + print(f"Status: {response.status_code}") + assert response.status_code == 200 + print("✓ Get all config passed") + + # Get LLM config + response = requests.get(f"{BASE_URL}/api/v1/config/llm") + print(f"Status: {response.status_code}") + assert response.status_code == 200 + print("✓ Get LLM config passed") + + +def test_projects(): + """Test project endpoints""" + print("\n=== Testing Projects ===") + + # List projects + response = requests.get(f"{BASE_URL}/api/v1/projects") + print(f"Status: {response.status_code}") + assert response.status_code == 200 + data = response.json() + projects = data.get('data', []) + print(f"Found {len(projects)} projects") + for project in projects[:3]: + print(f" - {project['display_name']} ({project['type']})") + print("✓ List projects passed") + + return projects + + +def test_sessions(): + """Test session endpoints""" + print("\n=== Testing Sessions ===") + + # Create session + response = requests.post(f"{BASE_URL}/api/v1/sessions", json={ + 'project_id': 'chat', + 'session_type': 'chat' + }) + print(f"Status: {response.status_code}") + assert response.status_code == 200 + data = response.json() + session_id = data['data']['id'] + print(f"Created session: {session_id}") + + # Get session + response = requests.get(f"{BASE_URL}/api/v1/sessions/{session_id}") + print(f"Status: {response.status_code}") + assert response.status_code == 200 + print("✓ Get session passed") + + # List sessions + response = requests.get(f"{BASE_URL}/api/v1/sessions") + print(f"Status: {response.status_code}") + assert response.status_code == 200 + print("✓ List sessions passed") + + return session_id + + +def test_agent_status(session_id): + """Test agent status endpoint""" + print("\n=== Testing Agent Status ===") + + response = requests.get(f"{BASE_URL}/api/v1/agent/status/{session_id}") + print(f"Status: {response.status_code}") + assert response.status_code == 200 + data = response.json() + print(f"Agent status: {data['data']['status']}") + print("✓ Agent status check passed") + + +async def test_websocket_connection(session_id): + """Test WebSocket connection""" + print("\n=== Testing WebSocket Connection ===") + + uri = f"{WS_URL}/ws/agent/{session_id}" + + try: + async with websockets.connect(uri) as websocket: + print(f"Connected to {uri}") + + # Wait for connection message + message = await websocket.recv() + data = json.loads(message) + print(f"Received: {data['type']}") + assert data['type'] == 'connected' + + # Send ping + await websocket.send(json.dumps({'type': 'ping'})) + message = await websocket.recv() + data = json.loads(message) + print(f"Ping response: {data['type']}") + assert data['type'] == 'pong' + + print("✓ WebSocket connection test passed") + except Exception as e: + print(f"✗ WebSocket test failed: {e}") + + +def cleanup_session(session_id): + """Clean up test session""" + print(f"\n=== Cleaning up session {session_id} ===") + response = requests.delete(f"{BASE_URL}/api/v1/sessions/{session_id}") + if response.status_code == 200: + print("✓ Session deleted") + else: + print(f"⚠ Failed to delete session: {response.status_code}") + + +def main(): + """Run all tests""" + print("=" * 60) + print("MS-Agent API Test Suite") + print("=" * 60) + print("\nMake sure the API server is running on http://localhost:8000") + print("Start it with: python api/run_server.py") + + try: + test_health() + test_config() + projects = test_projects() + session_id = test_sessions() + test_agent_status(session_id) + + # Test WebSocket + asyncio.run(test_websocket_connection(session_id)) + + # Cleanup + cleanup_session(session_id) + + print("\n" + "=" * 60) + print("✓ All tests passed!") + print("=" * 60) + + except requests.exceptions.ConnectionError: + print("\n✗ Error: Could not connect to API server") + print("Please start the server with: python api/run_server.py") + except AssertionError as e: + print(f"\n✗ Test failed: {e}") + except Exception as e: + print(f"\n✗ Unexpected error: {e}") + + +if __name__ == '__main__': + main() diff --git a/api/test_new_endpoints.py b/api/test_new_endpoints.py new file mode 100644 index 000000000..893c1f61a --- /dev/null +++ b/api/test_new_endpoints.py @@ -0,0 +1,222 @@ +#!/usr/bin/env python +# Copyright (c) Alibaba, Inc. and its affiliates. +""" +Test script for new API endpoints +Tests the newly added functionality from webui/backend +""" +import requests +import json +from typing import Dict, Any + +BASE_URL = "http://localhost:8000" + + +def print_response(response, endpoint: str): + """Print response information""" + print(f"\n{'='*60}") + print(f"Endpoint: {endpoint}") + print(f"Status: {response.status_code}") + try: + data = response.json() + print(f"Response: {json.dumps(data, indent=2, ensure_ascii=False)}") + except: + print(f"Response: {response.text}") + print(f"{'='*60}") + + +def test_config_endpoints(): + """Test configuration endpoints""" + print("\n\n### Testing Configuration Endpoints ###\n") + + # 1. Get all config + print("1. Get all configuration") + r = requests.get(f"{BASE_URL}/api/v1/config") + print_response(r, "GET /api/v1/config") + + # 2. Get available models + print("\n2. Get available models") + r = requests.get(f"{BASE_URL}/api/v1/config/models") + print_response(r, "GET /api/v1/config/models") + + # 3. Get MCP config + print("\n3. Get MCP servers configuration") + r = requests.get(f"{BASE_URL}/api/v1/config/mcp") + print_response(r, "GET /api/v1/config/mcp") + + # 4. Add MCP server (example) + print("\n4. Add MCP server (test)") + test_server = { + "name": "test-server", + "type": "stdio", + "command": "npx", + "args": ["-y", "@modelcontextprotocol/server-filesystem"] + } + r = requests.post(f"{BASE_URL}/api/v1/config/mcp/servers", json=test_server) + print_response(r, "POST /api/v1/config/mcp/servers") + + # 5. Get EdgeOne Pages config + print("\n5. Get EdgeOne Pages configuration") + r = requests.get(f"{BASE_URL}/api/v1/config/edgeone-pages") + print_response(r, "GET /api/v1/config/edgeone-pages") + + # 6. Get Deep Research config + print("\n6. Get Deep Research configuration") + r = requests.get(f"{BASE_URL}/api/v1/config/deep-research") + print_response(r, "GET /api/v1/config/deep-research") + + # 7. Update Deep Research config (example) + print("\n7. Update Deep Research configuration") + dr_config = { + "researcher": { + "model": "qwen-plus", + "api_key": "test-key", + "base_url": "https://api.example.com" + }, + "searcher": { + "model": "qwen-plus", + "api_key": "test-key", + "base_url": "https://api.example.com" + }, + "reporter": { + "model": "qwen-plus", + "api_key": "test-key", + "base_url": "https://api.example.com" + }, + "search": { + "summarizer_model": "qwen-plus", + "summarizer_api_key": "test-key", + "summarizer_base_url": "https://api.example.com" + } + } + r = requests.put(f"{BASE_URL}/api/v1/config/deep-research", json=dr_config) + print_response(r, "PUT /api/v1/config/deep-research") + + # 8. Get config status + print("\n8. Get configuration status") + r = requests.get(f"{BASE_URL}/api/v1/config/status") + print_response(r, "GET /api/v1/config/status") + + +def test_project_endpoints(): + """Test project endpoints""" + print("\n\n### Testing Project Endpoints ###\n") + + # 1. List projects + print("1. List all projects") + r = requests.get(f"{BASE_URL}/api/v1/projects") + print_response(r, "GET /api/v1/projects") + + projects = r.json().get('data', []) + if not projects: + print("No projects found, skipping workflow test") + return + + # 2. Get project workflow (use first project that supports workflow) + for project in projects: + if project.get('type') == 'workflow': + project_id = project['id'] + print(f"\n2. Get workflow for project: {project_id}") + r = requests.get(f"{BASE_URL}/api/v1/projects/{project_id}/workflow") + print_response(r, f"GET /api/v1/projects/{project_id}/workflow") + break + + +def test_file_endpoints(): + """Test file operation endpoints""" + print("\n\n### Testing File Endpoints ###\n") + + # 1. List files + print("1. List files in output directory") + r = requests.get(f"{BASE_URL}/api/v1/files/list?root_dir=output") + print_response(r, "GET /api/v1/files/list") + + # 2. Try to read a file (if any exists) + try: + data = r.json().get('data', {}) + tree = data.get('tree', {}) + files = tree.get('files', []) + + if files: + file_path = files[0]['path'] + print(f"\n2. Read file: {file_path}") + read_request = { + "path": file_path, + "root_dir": "output" + } + r = requests.post(f"{BASE_URL}/api/v1/files/read", json=read_request) + print_response(r, "POST /api/v1/files/read") + else: + print("\n2. No files found to read") + except Exception as e: + print(f"\n2. Error reading file: {e}") + + +def test_session_endpoints(): + """Test session endpoints""" + print("\n\n### Testing Session Endpoints ###\n") + + # 1. Create a session + print("1. Create a new session") + session_data = { + "project_id": "chat", + "session_type": "chat" + } + r = requests.post(f"{BASE_URL}/api/v1/sessions", json=session_data) + print_response(r, "POST /api/v1/sessions") + + if r.status_code == 200: + session_id = r.json().get('data', {}).get('id') + + # 2. Get session + print(f"\n2. Get session: {session_id}") + r = requests.get(f"{BASE_URL}/api/v1/sessions/{session_id}") + print_response(r, f"GET /api/v1/sessions/{session_id}") + + # 3. Get session messages + print(f"\n3. Get session messages: {session_id}") + r = requests.get(f"{BASE_URL}/api/v1/sessions/{session_id}/messages") + print_response(r, f"GET /api/v1/sessions/{session_id}/messages") + + # 4. Delete session + print(f"\n4. Delete session: {session_id}") + r = requests.delete(f"{BASE_URL}/api/v1/sessions/{session_id}") + print_response(r, f"DELETE /api/v1/sessions/{session_id}") + + +def main(): + """Run all tests""" + print("="*60) + print("Testing New API Endpoints") + print("Make sure the API server is running on http://localhost:8000") + print("="*60) + + try: + # Test if server is running + r = requests.get(f"{BASE_URL}/health") + if r.status_code != 200: + print("Error: API server is not responding") + return + + # Run tests + test_config_endpoints() + test_project_endpoints() + test_file_endpoints() + test_session_endpoints() + + print("\n\n" + "="*60) + print("All tests completed!") + print("="*60) + + except requests.exceptions.ConnectionError: + print("\nError: Cannot connect to API server") + print("Please make sure the server is running:") + print(" cd api") + print(" python -m api.main --port 8000") + except Exception as e: + print(f"\nError during testing: {e}") + import traceback + traceback.print_exc() + + +if __name__ == "__main__": + main() diff --git a/api/utils.py b/api/utils.py new file mode 100644 index 000000000..4bb1ed480 --- /dev/null +++ b/api/utils.py @@ -0,0 +1,88 @@ +# Copyright (c) Alibaba, Inc. and its affiliates. +""" +Utility functions for API server +""" +import os +import json +from pathlib import Path +from typing import Any, Dict, Optional + + +def get_backend_root() -> Path: + """Get the backend root directory""" + return Path(__file__).resolve().parent + + +def get_session_work_dir(session_id: str) -> Path: + """Get the working directory for a session""" + if not session_id or not str(session_id).strip(): + raise ValueError('session_id is required') + + backend_root = get_backend_root() + work_dir = (backend_root / 'work_dir' / str(session_id)).resolve() + work_dir.mkdir(parents=True, exist_ok=True) + return work_dir + + +def load_json_file(file_path: str) -> Optional[Dict[str, Any]]: + """Load JSON from file""" + try: + with open(file_path, 'r', encoding='utf-8') as f: + return json.load(f) + except Exception: + return None + + +def save_json_file(file_path: str, data: Dict[str, Any]) -> bool: + """Save JSON to file""" + try: + with open(file_path, 'w', encoding='utf-8') as f: + json.dump(data, f, ensure_ascii=False, indent=2) + return True + except Exception: + return False + + +def ensure_dir(path: str) -> bool: + """Ensure directory exists""" + try: + Path(path).mkdir(parents=True, exist_ok=True) + return True + except Exception: + return False + + +def format_error_message(error: Exception) -> str: + """Format error message for API response""" + return f"{type(error).__name__}: {str(error)}" + + +def mask_sensitive_value(value: str, mask_char: str = "*") -> str: + """Mask sensitive values like API keys""" + if not value: + return "" + if len(value) <= 8: + return mask_char * len(value) + return value[:4] + mask_char * (len(value) - 8) + value[-4:] + + +def validate_session_id(session_id: str) -> bool: + """Validate session ID format""" + if not session_id or not isinstance(session_id, str): + return False + return len(session_id.strip()) > 0 + + +def safe_json_loads(json_str: str, default: Any = None) -> Any: + """Safely load JSON string with default fallback""" + try: + return json.loads(json_str) + except (json.JSONDecodeError, TypeError): + return default + + +def truncate_string(text: str, max_length: int = 1000, suffix: str = "...") -> str: + """Truncate string to max length""" + if not text or len(text) <= max_length: + return text + return text[:max_length - len(suffix)] + suffix diff --git a/api/websocket.py b/api/websocket.py new file mode 100644 index 000000000..0dd65eddd --- /dev/null +++ b/api/websocket.py @@ -0,0 +1,300 @@ +# Copyright (c) Alibaba, Inc. and its affiliates. +""" +WebSocket communication API +Provides real-time bidirectional communication for agent execution +""" +import json +import asyncio +from typing import Dict, List +from datetime import datetime +from fastapi import APIRouter, WebSocket, WebSocketDisconnect + +from .session import session_manager +from .config import config_manager +from .agent_executor import AgentExecutor + +router = APIRouter(prefix="/ws", tags=["websocket"]) + + +class ConnectionManager: + """Manages WebSocket connections""" + + def __init__(self): + self.active_connections: Dict[str, List[WebSocket]] = {} + + async def connect(self, websocket: WebSocket, session_id: str): + """Connect a websocket for a session""" + await websocket.accept() + if session_id not in self.active_connections: + self.active_connections[session_id] = [] + self.active_connections[session_id].append(websocket) + + def disconnect(self, websocket: WebSocket, session_id: str): + """Disconnect a websocket""" + if session_id in self.active_connections: + if websocket in self.active_connections[session_id]: + self.active_connections[session_id].remove(websocket) + if not self.active_connections[session_id]: + del self.active_connections[session_id] + + async def send_personal_message(self, message: dict, websocket: WebSocket): + """Send a message to a specific websocket""" + await websocket.send_json(message) + + async def broadcast_to_session(self, message: dict, session_id: str): + """Broadcast a message to all connections of a session""" + if session_id in self.active_connections: + for connection in self.active_connections[session_id]: + try: + await connection.send_json(message) + except Exception: + pass + + +# Initialize connection manager +manager = ConnectionManager() + +# Store running agent executors for WebSocket connections +running_agents: Dict[str, AgentExecutor] = {} + + +# ============================================================ +# WebSocket Endpoints +# ============================================================ + +@router.websocket("/agent/{session_id}") +async def websocket_agent(websocket: WebSocket, session_id: str): + """ + WebSocket endpoint for real-time agent communication + + Message types: + - status: Agent status updates + - log: Log messages + - error: Error messages + - progress: Progress updates + - result: Final results + - stream: Streaming output + """ + await manager.connect(websocket, session_id) + + try: + # Send connection confirmation + await manager.send_personal_message({ + 'type': 'connected', + 'session_id': session_id, + 'timestamp': datetime.now().isoformat() + }, websocket) + + while True: + # Receive messages from client + data = await websocket.receive_text() + message = json.loads(data) + + message_type = message.get('type') + + if message_type == 'ping': + # Respond to ping + await manager.send_personal_message({ + 'type': 'pong', + 'timestamp': datetime.now().isoformat() + }, websocket) + + elif message_type == 'start': + # Start agent execution + query = message.get('query', '') + project_id = message.get('project_id', 'chat') + + # Check if already running + if session_id in running_agents: + await manager.send_personal_message({ + 'type': 'error', + 'error': 'Agent already running for this session', + 'timestamp': datetime.now().isoformat() + }, websocket) + continue + + # Update session + session_manager.update_session(session_id, {'status': 'running'}) + + # Get LLM configuration + llm_config = config_manager.get_llm_config() + + # Get project information + if project_id == 'chat': + from ms_agent.config import Config + import os + agent_config_path = os.path.join( + os.path.dirname(__file__), '..', 'ms_agent', 'agent', 'agent.yaml' + ) + project = { + 'config_file': agent_config_path, + 'type': 'agent' + } + else: + from .project import project_discovery + project = project_discovery.get_project(project_id) + if not project: + await manager.send_personal_message({ + 'type': 'error', + 'error': 'Project not found', + 'timestamp': datetime.now().isoformat() + }, websocket) + continue + + # Create agent executor + executor = AgentExecutor( + session_id=session_id, + config_file=project['config_file'], + llm_config=llm_config, + query=query, + session_manager=session_manager, + ws_manager=manager, + workflow_type=message.get('workflow_type', 'standard'), + project_type=project.get('type', 'agent') + ) + + # Store executor + running_agents[session_id] = executor + + # Start execution in background + asyncio.create_task(executor.execute()) + + elif message_type == 'stop': + # Stop agent execution + if session_id in running_agents: + executor = running_agents[session_id] + executor.cancel() + del running_agents[session_id] + + session_manager.update_session(session_id, {'status': 'stopped'}) + + await manager.broadcast_to_session({ + 'type': 'status', + 'status': 'stopped', + 'message': 'Agent execution stopped', + 'timestamp': datetime.now().isoformat() + }, session_id) + + except WebSocketDisconnect: + manager.disconnect(websocket, session_id) + except Exception as e: + # Send error message + try: + await manager.send_personal_message({ + 'type': 'error', + 'error': str(e), + 'timestamp': datetime.now().isoformat() + }, websocket) + except Exception: + pass + manager.disconnect(websocket, session_id) + + +@router.websocket("/chat") +async def websocket_chat(websocket: WebSocket): + """ + WebSocket endpoint for chat functionality + Similar to Sirchmunk's chat WebSocket + """ + await websocket.accept() + + try: + while True: + # Receive message from client + data = await websocket.receive_text() + request_data = json.loads(data) + + message = request_data.get('message', '') + session_id = request_data.get('session_id') + + if not session_id: + # Create new session for chat + session = session_manager.create_session( + project_id='chat', + project_name='Chat Session', + session_type='chat' + ) + session_id = session['id'] + + # Send session ID to client + await websocket.send_json({ + 'type': 'session', + 'session_id': session_id + }) + + # Add user message to session + session_manager.add_message( + session_id=session_id, + role='user', + content=message, + message_type='text' + ) + + # Get LLM configuration + llm_config = config_manager.get_llm_config() + + # Create simple agent for chat + from ms_agent.agent import LLMAgent + from ms_agent.config import Config + from omegaconf import DictConfig + import os + + # Build config + agent_config_path = os.path.join( + os.path.dirname(__file__), '..', 'ms_agent', 'agent', 'agent.yaml' + ) + config = Config.from_task(agent_config_path) + + # Override LLM config + if llm_config.api_key: + config.llm.api_key = llm_config.api_key + if llm_config.model: + config.llm.model = llm_config.model + if llm_config.base_url: + config.llm.base_url = llm_config.base_url + + # Create agent + agent = LLMAgent(config=config, tag='chat') + + # Stream response + try: + async for messages in agent.run(message, stream=True): + if messages and len(messages) > 0: + content = messages[-1].content + await websocket.send_json({ + 'type': 'stream', + 'content': content, + 'session_id': session_id + }) + + # Send final result + final_content = messages[-1].content if messages else '' + await websocket.send_json({ + 'type': 'result', + 'content': final_content, + 'session_id': session_id + }) + + # Add assistant message to session + session_manager.add_message( + session_id=session_id, + role='assistant', + content=final_content, + message_type='text' + ) + except Exception as e: + await websocket.send_json({ + 'type': 'error', + 'error': str(e) + }) + + except WebSocketDisconnect: + pass + except Exception as e: + try: + await websocket.send_json({ + 'type': 'error', + 'error': str(e) + }) + except Exception: + pass diff --git a/config/cfg_model_multimodal.yaml b/config/cfg_model_multimodal.yaml new file mode 100644 index 000000000..f660e9e3c --- /dev/null +++ b/config/cfg_model_multimodal.yaml @@ -0,0 +1,57 @@ +# 多模态模型配置示例 +# 用于配置 qwen3.5-plus 等多模态模型 + +llm: + # 使用 dashscope 服务 + service: dashscope + + # 多模态模型名称 + model: qwen3.5-plus + + # DashScope API Key + # 也可以通过环境变量 DASHSCOPE_API_KEY 设置 + dashscope_api_key: + + # DashScope 兼容模式 endpoint + modelscope_base_url: https://dashscope.aliyuncs.com/compatible-mode/v1 + +# 生成配置 +generation_config: + temperature: 0.7 + top_k: 50 + top_p: 0.8 + max_tokens: 2048 + stream: true + + # 禁用思考模式（可选） + extra_body: + enable_thinking: false + +# 系统提示词 +prompt: + system: | + 你是一个多模态助手，能够理解和分析图片内容。 + + 当用户发送图片时，请仔细观察图片内容，并提供： + 1. 图片中的主要元素和对象 + 2. 场景描述（如适用） + 3. 任何文字信息（如图片中包含文字） + 4. 颜色、布局等视觉特征 + + 请用用户相同的语言回答。 + +# 最大对话轮次 +max_chat_round: 10 + +# 回调函数 +callbacks: + - input_callback + +# 工具配置（多模态对话通常不需要工具） +tools: + +help: | + 多模态模型配置示例 + 使用方法: + 1. 设置 DASHSCOPE_API_KEY 环境变量 + 2. 使用此配置运行多模态对话 diff --git a/examples/agent/test_llm_agent_multimodal.py b/examples/agent/test_llm_agent_multimodal.py new file mode 100644 index 000000000..e91b3cfc8 --- /dev/null +++ b/examples/agent/test_llm_agent_multimodal.py @@ -0,0 +1,333 @@ +""" +LLMAgent 多模态对话测试 + +从 LLMAgent 层面测试多模态功能，覆盖 stream 和非 stream 两种模式。 +""" +import asyncio +import os +import sys +import uuid + +from ms_agent import LLMAgent +from ms_agent.config import Config +from ms_agent.llm.utils import Message + +# 获取脚本所在目录 +path = os.path.dirname(os.path.abspath(__file__)) +agent_config = os.path.join(path, '..', '..', 'ms_agent', 'agent', 'agent.yaml') + + +async def test_llm_agent_multimodal_non_stream(): + """ + 测试 LLMAgent 非 stream 模式的多模态对话 + """ + print("=" * 70) + print("测试 1: LLMAgent 非 stream 模式 - 多模态对话 (URL 图片)") + print("=" * 70) + + # 创建配置 + config = Config.from_task(agent_config) + + # 配置多模态模型 + config.llm.model = 'qwen3.5-plus' + config.llm.service = 'dashscope' + config.llm.dashscope_api_key = os.environ.get('DASHSCOPE_API_KEY', '') + config.llm.modelscope_base_url = 'https://dashscope.aliyuncs.com/compatible-mode/v1' + + # 禁用 stream、load_cache 和 callbacks（避免交互式输入问题） + config.generation_config.stream = False + config.load_cache = False + config.callbacks = [] + + if not config.llm.dashscope_api_key: + print("[错误] 未设置 DASHSCOPE_API_KEY 环境变量") + print("请先设置: export DASHSCOPE_API_KEY='your-api-key'") + return False + + # 创建 LLMAgent，使用唯一 tag 避免历史记录的干扰 + tag = f"multimodal_test_{uuid.uuid4().hex[:8]}" + agent = LLMAgent(config=config, tag=tag) + + # 测试图片 URL + test_image_url = "https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg" + + # 构建多模态内容 + multimodal_content = [ + {"type": "text", "text": "请详细描述这张图片中的内容。"}, + {"type": "image_url", "image_url": {"url": test_image_url}} + ] + + try: + print(f"\n[发送] 请描述这张图片: {test_image_url}") + print("-" * 70) + + messages = [ + Message(role="system", content="你是一个多模态助手。"), + Message(role="user", content=multimodal_content) + ] + + response = await agent.run(messages=messages) + + print(f"\n[回复] {response[-1].content}") + print("-" * 70) + print(f"\n[Token使用] 输入: {response[-1].prompt_tokens}, 输出: {response[-1].completion_tokens}") + + return True + except Exception as e: + print(f"\n[错误] 非 stream 多模态对话失败: {e}") + import traceback + traceback.print_exc() + return False + + +async def test_llm_agent_multimodal_stream(): + """ + 测试 LLMAgent stream 模式的多模态对话 + """ + print("\n" + "=" * 70) + print("测试 2: LLMAgent stream 模式 - 多模态对话 (URL 图片)") + print("=" * 70) + + # 创建配置 + config = Config.from_task(agent_config) + + # 配置多模态模型 + config.llm.model = 'qwen3.5-plus' + config.llm.service = 'dashscope' + config.llm.dashscope_api_key = os.environ.get('DASHSCOPE_API_KEY', '') + config.llm.modelscope_base_url = 'https://dashscope.aliyuncs.com/compatible-mode/v1' + + # 启用 stream，禁用 load_cache 和 callbacks + config.generation_config.stream = True + config.load_cache = False + config.callbacks = [] + + if not config.llm.dashscope_api_key: + print("[错误] 未设置 DASHSCOPE_API_KEY 环境变量") + return False + + # 创建 LLMAgent，使用唯一 tag + tag = f"multimodal_stream_{uuid.uuid4().hex[:8]}" + agent = LLMAgent(config=config, tag=tag) + + # 测试图片 URL + test_image_url = "https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg" + + # 构建多模态内容 + multimodal_content = [ + {"type": "text", "text": "请用中文描述这张图片中的内容。"}, + {"type": "image_url", "image_url": {"url": test_image_url}} + ] + + try: + print(f"\n[发送] 请描述这张图片: {test_image_url}") + print("-" * 70) + print("[回复开始]") + + messages = [ + Message(role="system", content="你是一个多模态助手。"), + Message(role="user", content=multimodal_content) + ] + + # stream 模式调用 + generator = await agent.run(messages=messages, stream=True) + + full_response = "" + async for response_chunk in generator: + if response_chunk and len(response_chunk) > 0: + last_msg = response_chunk[-1] + if last_msg.content and len(last_msg.content) > len(full_response): + # 流式输出新增内容 + sys.stdout.write(last_msg.content[len(full_response):]) + sys.stdout.flush() + full_response = last_msg.content + + print("\n" + "-" * 70) + print(f"\n[完整回复长度] {len(full_response)} 字符") + return True + except Exception as e: + print(f"\n[错误] stream 多模态对话失败: {e}") + import traceback + traceback.print_exc() + return False + + +async def test_llm_agent_multimodal_base64_non_stream(): + """ + 测试 LLMAgent 非 stream 模式 - Base64 编码图片 + """ + print("\n" + "=" * 70) + print("测试 3: LLMAgent 非 stream 模式 - Base64 编码图片") + print("=" * 70) + + import base64 + + # 创建配置 + config = Config.from_task(agent_config) + config.llm.model = 'qwen3.5-plus' + config.llm.service = 'dashscope' + config.llm.dashscope_api_key = os.environ.get('DASHSCOPE_API_KEY', '') + config.llm.modelscope_base_url = 'https://dashscope.aliyuncs.com/compatible-mode/v1' + config.generation_config.stream = False + config.load_cache = False + config.callbacks = [] + + if not config.llm.dashscope_api_key: + print("[错误] 未设置 DASHSCOPE_API_KEY 环境变量") + return False + + # 创建 LLMAgent，使用唯一 tag + tag = f"multimodal_base64_{uuid.uuid4().hex[:8]}" + agent = LLMAgent(config=config, tag=tag) + + # 一个简单的测试图片 base64 (1x1 像素) + test_image_base64 = "iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNk+M9Qz0AEYBxVSF+FABJADq0/8ZEPAAAAAElFTkSuQmCC" + + multimodal_content = [ + {"type": "text", "text": "这是一个什么颜色的图片？请用中文简短回答。"}, + { + "type": "image_url", + "image_url": { + "url": f"data:image/png;base64,{test_image_base64}" + } + } + ] + + try: + print("\n[发送] 这是什么颜色的图片？(Base64 编码)") + print("-" * 70) + + messages = [ + Message(role="system", content="你是一个多模态助手。"), + Message(role="user", content=multimodal_content) + ] + + response = await agent.run(messages=messages) + + print(f"\n[回复] {response[-1].content}") + print("-" * 70) + return True + except Exception as e: + print(f"\n[错误] Base64 多模态对话失败: {e}") + import traceback + traceback.print_exc() + return False + + +async def test_llm_agent_multimodal_conversation(): + """ + 测试 LLMAgent 多轮对话中的多模态功能 + """ + print("\n" + "=" * 70) + print("测试 4: LLMAgent 多轮对话 - 多模态 + 文本混合") + print("=" * 70) + + # 创建配置 + config = Config.from_task(agent_config) + config.llm.model = 'qwen3.5-plus' + config.llm.service = 'dashscope' + config.llm.dashscope_api_key = os.environ.get('DASHSCOPE_API_KEY', '') + config.llm.modelscope_base_url = 'https://dashscope.aliyuncs.com/compatible-mode/v1' + config.generation_config.stream = False + config.load_cache = False + config.callbacks = [] + + if not config.llm.dashscope_api_key: + print("[错误] 未设置 DASHSCOPE_API_KEY 环境变量") + return False + + # 创建 LLMAgent，使用唯一 tag + tag = f"multimodal_conv_{uuid.uuid4().hex[:8]}" + agent = LLMAgent(config=config, tag=tag) + + # 测试图片 URL + test_image_url = "https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg" + + try: + # 第一轮：发送图片 + print("\n[第一轮] 发送图片并询问") + print("-" * 70) + + multimodal_content = [ + {"type": "text", "text": "这张图片里有几个人？"}, + {"type": "image_url", "image_url": {"url": test_image_url}} + ] + + messages = [ + Message(role="system", content="你是一个多模态助手。"), + Message(role="user", content=multimodal_content) + ] + response = await agent.run(messages=messages) + print(f"\n[第一轮回复] {response[-1].content[:200]}...") + + # 第二轮：继续追问（纯文本） + print("\n[第二轮] 继续追问") + print("-" * 70) + + # 保留历史记录，添加新的用户消息 + messages = response + messages.append(Message(role="user", content="图片中的场景是在室内还是室外？")) + response = await agent.run(messages=messages) + print(f"\n[第二轮回复] {response[-1].content[:200]}...") + + # 第三轮：再次追问（纯文本） + print("\n[第三轮] 再次追问") + print("-" * 70) + + messages = response + messages.append(Message(role="user", content="用一句话总结这张图片。")) + response = await agent.run(messages=messages) + print(f"\n[第三轮回复] {response[-1].content[:200]}...") + + print("-" * 70) + return True + except Exception as e: + print(f"\n[错误] 多轮对话失败: {e}") + import traceback + traceback.print_exc() + return False + + +async def main(): + """运行所有测试""" + print("\n" + "=" * 70) + print("LLMAgent 多模态对话测试套件") + print("=" * 70) + print("\n请确保已设置环境变量: export DASHSCOPE_API_KEY='your-api-key'\n") + + results = [] + + # 测试 1: 非 stream 模式 + result1 = await test_llm_agent_multimodal_non_stream() + results.append(("非 stream 模式 (URL图片)", result1)) + + # 测试 2: stream 模式 + result2 = await test_llm_agent_multimodal_stream() + results.append(("stream 模式 (URL图片)", result2)) + + # 测试 3: Base64 非 stream + result3 = await test_llm_agent_multimodal_base64_non_stream() + results.append(("非 stream 模式 (Base64)", result3)) + + # 测试 4: 多轮对话 + result4 = await test_llm_agent_multimodal_conversation() + results.append(("多轮对话", result4)) + + # 总结 + print("\n" + "=" * 70) + print("测试总结") + print("=" * 70) + for name, result in results: + status = "✓ 通过" if result else "✗ 失败" + print(f" {status} - {name}") + + passed = sum(1 for _, r in results if r) + total = len(results) + print(f"\n总计: {passed}/{total} 测试通过") + + return passed == total + + +if __name__ == '__main__': + success = asyncio.run(main()) + sys.exit(0 if success else 1) diff --git a/ms_agent/agent/llm_agent.py b/ms_agent/agent/llm_agent.py index 8602d1621..68aa5ce6c 100644 --- a/ms_agent/agent/llm_agent.py +++ b/ms_agent/agent/llm_agent.py @@ -725,8 +725,25 @@ def log_output(self, content: str): Log formatted output with a tag prefix. Args: - content (str): Content to log. + content (str): Content to log. Can be a string or a list (for multimodal content). """ + # Handle multimodal content (list type) + if isinstance(content, list): + # Extract text from multimodal content + text_parts = [] + for item in content: + if isinstance(item, dict): + if item.get('type') == 'text': + text_parts.append(item.get('text', '')) + elif item.get('type') == 'image_url': + img_url = item.get('image_url', {}).get('url', '') + text_parts.append(f'[Image: {img_url[:50]}...]') + content = ' '.join(text_parts) + + # Ensure content is a string + if not isinstance(content, str): + content = str(content) + if len(content) > 1024: content = content[:512] + '\n...\n' + content[-512:] for line in content.split('\n'): diff --git a/ms_agent/llm/openai_llm.py b/ms_agent/llm/openai_llm.py index d9b9179ba..beee76388 100644 --- a/ms_agent/llm/openai_llm.py +++ b/ms_agent/llm/openai_llm.py @@ -572,6 +572,7 @@ def _format_input_message(self, openai_messages = [] for idx, message in enumerate(messages): if isinstance(message, Message): + # Only strip string content, keep list content as-is for multimodal if isinstance(message.content, str): message.content = message.content.strip() message = message.to_dict_clean() @@ -579,25 +580,34 @@ def _format_input_message(self, message = dict(message) content = message.get('content', '') + # Only strip string content, multimodal content (list) should be kept as-is if isinstance(content, str): content = content.strip() # Apply prefix cache structured content transformation + # Only for string content, multimodal content is already structured if cache_indice is not None and idx == cache_indice: content = self._to_structured_content( content, add_cache_control=True, provider=self._prefix_cache_provider) - message = { - key: value.strip() if isinstance(value, str) else value - for key, value in message.items() - if key in self.input_msg and value - } - if 'content' not in message: - message['content'] = '' - message['content'] = content if content else '' - - openai_messages.append(message) + # Build the message dict, handling both string and multimodal content + formatted_message = {} + for key, value in message.items(): + if key in self.input_msg: + # Only strip string values, keep other types as-is + if isinstance(value, str): + formatted_message[key] = value.strip() if value else '' + else: + formatted_message[key] = value + + # Ensure content field is set correctly + if 'content' not in formatted_message: + formatted_message['content'] = '' + elif not formatted_message['content']: + formatted_message['content'] = content + + openai_messages.append(formatted_message) return openai_messages diff --git a/webui/frontend/.gitignore b/webui/frontend/.gitignore new file mode 100644 index 000000000..5ef6a5207 --- /dev/null +++ b/webui/frontend/.gitignore @@ -0,0 +1,41 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.* +.yarn/* +!.yarn/patches +!.yarn/plugins +!.yarn/releases +!.yarn/versions + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.pnpm-debug.log* + +# env files (can opt-in for committing if needed) +.env* + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts diff --git a/webui/frontend/README.md b/webui/frontend/README.md new file mode 100644 index 000000000..f69f459e1 --- /dev/null +++ b/webui/frontend/README.md @@ -0,0 +1,269 @@ +# MS-Agent WebUI Frontend + +基于 Next.js + Tailwind CSS 的 MS-Agent 前端界面,参考 sirchmunk/web 架构实现。 + +## 技术栈 + +- **框架**: Next.js 16 (App Router) +- **样式**: Tailwind CSS 3 +- **语言**: TypeScript 5 +- **UI 库**: Lucide React (图标) +- **Markdown**: React Markdown + KaTeX (数学公式) + +## 功能特性 + +### 已实现功能 + +1. **Home (Chat) 页面** + - 项目选择器 (支持切换不同的 Agent 项目) + - 实时对话界面 + - WebSocket 连接支持 + - Markdown 渲染 + 代码高亮 + - 流式输出显示 + +2. **Settings 页面** + - LLM 配置 (Provider, Model, API Key, Base URL) + - Temperature 控制 + - Max Tokens 设置 + - Dark/Light 主题切换 + +3. **Monitor 页面** + - 系统健康状态监控 + - 会话列表展示 + - 实时数据刷新 + - 会话状态可视化 + +4. **核心组件** + - Sidebar (可折叠侧边栏) + - GlobalContext (全局状态管理) + - Theme 系统 (支持 Dark/Light 模式) + - API 封装 (完整对接后端接口) + +## 目录结构 + +``` +frontend/ +├── app/ # Next.js App Router +│ ├── layout.tsx # 根布局 +│ ├── page.tsx # Home/Chat 页面 +│ ├── monitor/page.tsx # Monitor 页面 +│ ├── settings/page.tsx # Settings 页面 +│ └── globals.css # 全局样式 +├── components/ # 共享组件 +│ ├── Sidebar.tsx # 侧边栏 +│ └── ThemeScript.tsx # 主题脚本 +├── context/ # React Context +│ └── GlobalContext.tsx # 全局状态 +├── lib/ # 工具函数 +│ ├── api.ts # API 封装 +│ └── theme.ts # 主题工具 +├── types/ # TypeScript 类型 +│ └── api.ts # API 类型定义 +├── next.config.ts # Next.js 配置 +├── tailwind.config.js # Tailwind 配置 +└── package.json # 依赖管理 +``` + +## 快速开始 + +### 开发环境 + +1. **安装依赖** + +```bash +cd webui/frontend +npm install +``` + +2. **配置环境变量** + +创建 `.env.local` 文件: + +```bash +# API Base URL (开发环境) +NEXT_PUBLIC_API_BASE=http://localhost:8000 +``` + +3. **启动开发服务器** + +```bash +npm run dev +``` + +访问 http://localhost:3000 + +### 生产构建 + +1. **静态导出模式** (推荐用于与 FastAPI 集成) + +```bash +# 设置环境变量 +export NEXT_BUILD_STATIC=true + +# 构建 +npm run build + +# 输出目录: out/ +``` + +2. **标准模式** + +```bash +npm run build +npm start +``` + +## API 对接 + +前端完全对接了 `/api` 目录下的后端接口: + +### Session APIs +- `POST /api/v1/sessions` - 创建会话 +- `GET /api/v1/sessions` - 获取会话列表 +- `GET /api/v1/sessions/{id}` - 获取会话详情 + +### Project APIs +- `GET /api/v1/projects` - 获取项目列表 +- `GET /api/v1/projects/{id}` - 获取项目详情 + +### Config APIs +- `GET /api/v1/config/llm` - 获取 LLM 配置 +- `POST /api/v1/config/llm` - 保存 LLM 配置 + +### Agent APIs +- `POST /api/v1/agent/run` - 启动 Agent +- `POST /api/v1/agent/stop` - 停止 Agent +- `WS /ws/agent/{session_id}` - WebSocket 实时通信 + +### Health Check +- `GET /health` - 健康检查 + +## WebSocket 消息格式 + +### 客户端 → 服务器 + +```json +{ + "type": "start", + "query": "用户查询内容", + "project_id": "项目ID", + "workflow_type": "standard" +} +``` + +### 服务器 → 客户端 + +```json +{ + "type": "stream", + "content": "流式输出内容" +} +``` + +支持的消息类型: +- `connected` - 连接成功 +- `status` - 状态更新 +- `log` - 日志消息 +- `stream` - 流式输出 +- `result` - 最终结果 +- `error` - 错误消息 + +## 主题系统 + +支持 Dark/Light 主题切换,主题设置保存在 localStorage。 + +```typescript +import { setTheme } from '@/lib/theme'; + +// 切换主题 +setTheme('dark'); // or 'light' +``` + +## 全局状态管理 + +使用 React Context 管理全局状态: + +```typescript +import { useGlobal } from '@/context/GlobalContext'; + +function MyComponent() { + const { agentState, createSession, sendMessage } = useGlobal(); + // ... +} +``` + +## 开发说明 + +### 添加新页面 + +1. 在 `app/` 目录下创建新文件夹 +2. 添加 `page.tsx` 文件 +3. 在 `Sidebar.tsx` 中添加导航链接 + +### 添加新 API + +1. 在 `types/api.ts` 中定义类型 +2. 在 `lib/api.ts` 中添加 API 函数 +3. 在组件中使用 + +### 样式定制 + +修改 `tailwind.config.js` 来自定义样式: + +```javascript +module.exports = { + theme: { + extend: { + colors: { + // 自定义颜色 + }, + }, + }, +} +``` + +## 与旧版本的对比 + +### 架构改进 + +- ✅ React + MUI → Next.js + Tailwind CSS +- ✅ 单体应用 → 页面分离的 App Router 架构 +- ✅ 内联样式 → Tailwind 实用类 +- ✅ 基础状态管理 → 完整的 GlobalContext + +### 功能增强 + +- ✅ 更现代的 UI 设计 +- ✅ 更好的主题切换体验 +- ✅ 更完整的 WebSocket 支持 +- ✅ 更丰富的项目选择功能 +- ✅ 实时系统监控 + +## 注意事项 + +1. **API 配置**: 确保后端 API 服务器正在运行 (默认 http://localhost:8000) +2. **CORS**: 后端需要配置 CORS 允许前端访问 +3. **WebSocket**: 确保 WebSocket 端点可访问 +4. **LLM 配置**: 使用前需要在 Settings 页面配置 LLM API Key + +## 后续开发建议 + +1. **增强功能** + - 添加文件预览功能 + - 实现 Workflow 进度可视化 + - 添加 Deep Research 事件流展示 + - 实现 Code Genesis 文件树预览 + +2. **UI 优化** + - 添加更多动画效果 + - 优化移动端响应式布局 + - 添加加载骨架屏 + +3. **性能优化** + - 实现虚拟滚动 (长消息列表) + - 优化 WebSocket 重连机制 + - 添加请求缓存 + +## 许可证 + +Copyright (c) Alibaba, Inc. and its affiliates. diff --git a/webui/frontend/app/favicon.ico b/webui/frontend/app/favicon.ico new file mode 100644 index 000000000..718d6fea4 Binary files /dev/null and b/webui/frontend/app/favicon.ico differ diff --git a/webui/frontend/app/globals.css b/webui/frontend/app/globals.css new file mode 100644 index 000000000..befe5dbc7 --- /dev/null +++ b/webui/frontend/app/globals.css @@ -0,0 +1,142 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +@layer base { + * { + @apply border-border; + } + body { + @apply bg-slate-50 dark:bg-slate-900 text-slate-900 dark:text-slate-100; + } +} + +/* Markdown Styles */ +.prose pre { + @apply bg-slate-950 text-slate-50 rounded-lg p-4 overflow-x-auto my-4; +} + +.prose code { + @apply bg-slate-100 text-slate-900 px-1.5 py-0.5 rounded text-sm font-mono; +} + +.dark .prose code { + @apply bg-slate-700 text-slate-200; +} + +.prose pre code { + @apply bg-transparent text-inherit p-0; +} + +.prose h1, +.prose h2, +.prose h3 { + @apply font-semibold tracking-tight text-slate-900 mt-8 mb-4; +} + +.dark .prose h1, +.dark .prose h2, +.dark .prose h3 { + @apply text-slate-100; +} + +.prose p { + @apply leading-7 mb-4 text-slate-700; +} + +.dark .prose p { + @apply text-slate-300; +} + +.prose ul { + @apply list-disc list-outside ml-6 mb-4 text-slate-700; +} + +.dark .prose ul { + @apply text-slate-300; +} + +.prose ol { + @apply list-decimal list-outside ml-6 mb-4 text-slate-700; +} + +.dark .prose ol { + @apply text-slate-300; +} + +.prose blockquote { + @apply border-l-4 border-blue-500 pl-4 italic my-4 text-slate-600; +} + +.dark .prose blockquote { + @apply text-slate-400 border-blue-400; +} + +.prose a { + @apply text-blue-600 hover:text-blue-700 underline; +} + +.dark .prose a { + @apply text-blue-400 hover:text-blue-300; +} + +.prose strong { + @apply text-slate-900 font-semibold; +} + +.dark .prose strong { + @apply text-slate-100; +} + +/* KaTeX Styles for Dark Mode */ +.dark .katex { + color: #e2e8f0; +} + +.dark .katex .mord, +.dark .katex .mbin, +.dark .katex .mrel, +.dark .katex .mopen, +.dark .katex .mclose, +.dark .katex .mpunct, +.dark .katex .minner, +.dark .katex .mop { + color: #e2e8f0; +} + +/* Tables */ +.prose table { + @apply border-collapse; +} + +.prose th { + @apply bg-slate-100 text-slate-900 font-semibold px-4 py-2 border border-slate-200; +} + +.dark .prose th { + @apply bg-slate-700 text-slate-100 border-slate-600; +} + +.prose td { + @apply px-4 py-2 border border-slate-200 text-slate-700; +} + +.dark .prose td { + @apply border-slate-600 text-slate-300; +} + +/* Custom Animations */ +@keyframes fade-in { + from { + opacity: 0; + transform: translateY(10px); + } + to { + opacity: 1; + transform: translateY(0); + } +} + +.animate-fade-in { + animation: fade-in 0.3s ease-out forwards; +} diff --git a/webui/frontend/app/layout.tsx b/webui/frontend/app/layout.tsx new file mode 100644 index 000000000..7f49f3e38 --- /dev/null +++ b/webui/frontend/app/layout.tsx @@ -0,0 +1,42 @@ +import type { Metadata } from 'next'; +import { Inter } from 'next/font/google'; +import './globals.css'; +import Sidebar from '@/components/Sidebar'; +import { GlobalProvider } from '@/context/GlobalContext'; +import ThemeScript from '@/components/ThemeScript'; + +// Use Inter font with swap display for better loading +const font = Inter({ + subsets: ['latin'], + display: 'swap', + fallback: ['system-ui', 'sans-serif'], +}); + +export const metadata: Metadata = { + title: 'MS-Agent Platform', + description: 'Multi-Agent Framework for Complex Tasks', +}; + +export default function RootLayout({ + children, +}: Readonly<{ + children: React.ReactNode; +}>) { + return ( + + + + + + +
+ +
+ {children} +
+
+ + + + ); +} diff --git a/webui/frontend/app/monitor/page.tsx b/webui/frontend/app/monitor/page.tsx new file mode 100644 index 000000000..0adc0edff --- /dev/null +++ b/webui/frontend/app/monitor/page.tsx @@ -0,0 +1,187 @@ +'use client'; + +import { useState, useEffect } from 'react'; +import { Activity, Clock, CheckCircle, XCircle, RefreshCw } from 'lucide-react'; +import { sessionAPI, healthAPI } from '@/lib/api'; +import type { SessionInfo } from '@/types/api'; + +export default function MonitorPage() { + const [sessions, setSessions] = useState([]); + const [healthStatus, setHealthStatus] = useState(null); + const [isLoading, setIsLoading] = useState(true); + + const loadData = async () => { + setIsLoading(true); + + // Load sessions + const sessionsResponse = await sessionAPI.list(); + if (sessionsResponse.success && sessionsResponse.data) { + setSessions(sessionsResponse.data); + } + + // Load health status + const healthResponse = await healthAPI.check(); + if (healthResponse.success) { + setHealthStatus(healthResponse.data); + } + + setIsLoading(false); + }; + + useEffect(() => { + loadData(); + + // Auto-refresh every 10 seconds + const interval = setInterval(loadData, 10000); + return () => clearInterval(interval); + }, []); + + const getStatusColor = (status: string) => { + switch (status) { + case 'completed': + return 'text-green-600 dark:text-green-400 bg-green-100 dark:bg-green-900/30'; + case 'running': + return 'text-blue-600 dark:text-blue-400 bg-blue-100 dark:bg-blue-900/30'; + case 'error': + return 'text-red-600 dark:text-red-400 bg-red-100 dark:bg-red-900/30'; + default: + return 'text-slate-600 dark:text-slate-400 bg-slate-100 dark:bg-slate-700'; + } + }; + + const getStatusIcon = (status: string) => { + switch (status) { + case 'completed': + return ; + case 'running': + return ; + case 'error': + return ; + default: + return ; + } + }; + + return ( +
+
+
+
+

+ System Monitor +

+

+ Monitor system status and session activity +

+
+ +
+ + {/* Health Status */} +
+
+
+

+ API Status +

+ +
+

+ {healthStatus?.status === 'healthy' ? 'Healthy' : 'Unknown'} +

+
+ +
+
+

+ Total Sessions +

+ +
+

+ {sessions.length} +

+
+ +
+
+

+ Active Sessions +

+ +
+

+ {sessions.filter(s => s.status === 'running').length} +

+
+
+ + {/* Sessions List */} +
+
+

+ Recent Sessions +

+
+ +
+ + + + + + + + + + + {sessions.length === 0 ? ( + + + + ) : ( + sessions.map((session) => ( + + + + + + + )) + )} + +
+ Session ID + + Project + + Status + + Created +
+ No sessions found +
+ {session.id.slice(0, 8)}... + + {session.project_name} + + + {getStatusIcon(session.status)} + {session.status} + + + {new Date(session.created_at).toLocaleString()} +
+
+
+
+
+ ); +} diff --git a/webui/frontend/app/page.tsx b/webui/frontend/app/page.tsx new file mode 100644 index 000000000..70273fea7 --- /dev/null +++ b/webui/frontend/app/page.tsx @@ -0,0 +1,262 @@ +'use client'; + +import { useState, useEffect, useRef } from 'react'; +import { Send, Loader2, Bot, User, Plus, ChevronDown } from 'lucide-react'; +import { useGlobal } from '@/context/GlobalContext'; +import ReactMarkdown from 'react-markdown'; +import remarkMath from 'remark-math'; +import rehypeKatex from 'rehype-katex'; +import 'katex/dist/katex.min.css'; + +export default function HomePage() { + const { agentState, setAgentState, createSession, sendMessage, newSession, projects } = useGlobal(); + const [inputMessage, setInputMessage] = useState(''); + const [showProjectSelector, setShowProjectSelector] = useState(false); + const chatEndRef = useRef(null); + const inputRef = useRef(null); + + const hasMessages = agentState.messages.length > 0; + + // Auto-scroll to bottom + useEffect(() => { + if (chatEndRef.current) { + chatEndRef.current.scrollIntoView({ behavior: 'smooth' }); + } + }, [agentState.messages]); + + const handleSend = async () => { + if (!inputMessage.trim() || agentState.isLoading) return; + + // Create session if not exists + if (!agentState.sessionId) { + const projectId = agentState.selectedProject || 'chat'; + await createSession(projectId, inputMessage); + } + + sendMessage(inputMessage); + setInputMessage(''); + }; + + const handleNewChat = () => { + newSession(); + setInputMessage(''); + }; + + const handleProjectSelect = async (projectId: string) => { + setAgentState(prev => ({ ...prev, selectedProject: projectId })); + setShowProjectSelector(false); + + // Create new session with selected project + if (agentState.messages.length === 0) { + await createSession(projectId); + } + }; + + return ( +
+ {/* Empty State */} + {!hasMessages && ( +
+
+
+
+ MS +
+

+ Welcome to MS-Agent +

+
+

+ Multi-Agent Framework for Complex Tasks +

+
+ + {/* Input Box */} +
+ {/* Project Selector */} +
+
+ + + {showProjectSelector && ( +
+
+ + {projects.map((project) => ( + + ))} +
+
+ )} +
+
+ + {/* Input Field */} +
+ setInputMessage(e.target.value)} + onKeyDown={(e) => { + if (e.key === 'Enter' && !e.shiftKey) { + e.preventDefault(); + handleSend(); + } + }} + disabled={agentState.isLoading} + /> + +
+
+
+ )} + + {/* Chat Interface */} + {hasMessages && ( + <> + {/* Header */} +
+
+
+ Project: {agentState.selectedProject || 'Chat'} +
+
+ + +
+ + {/* Messages Area */} +
+ {agentState.messages.map((msg, idx) => ( +
+ {msg.role === 'user' ? ( + <> +
+ +
+
+ {msg.content} +
+ + ) : ( + <> +
+ +
+
+
+
+ + {msg.content} + +
+
+
+ + )} +
+ ))} + + {/* Loading indicator */} + {agentState.isLoading && agentState.currentStage && ( +
+
+ +
+
+
+ + + + + {agentState.currentStage} +
+
+
+ )} + +
+
+ + {/* Input Area */} +
+
+ setInputMessage(e.target.value)} + onKeyDown={(e) => { + if (e.key === 'Enter' && !e.shiftKey) { + e.preventDefault(); + handleSend(); + } + }} + disabled={agentState.isLoading} + /> + +
+
+ + )} +
+ ); +} diff --git a/webui/frontend/app/settings/page.tsx b/webui/frontend/app/settings/page.tsx new file mode 100644 index 000000000..66688f9ee --- /dev/null +++ b/webui/frontend/app/settings/page.tsx @@ -0,0 +1,226 @@ +'use client'; + +import { useState, useEffect } from 'react'; +import { Save, Moon, Sun, Loader2 } from 'lucide-react'; +import { useGlobal } from '@/context/GlobalContext'; +import { configAPI } from '@/lib/api'; +import type { LLMConfig } from '@/types/api'; + +export default function SettingsPage() { + const { theme, setTheme } = useGlobal(); + const [llmConfig, setLLMConfig] = useState({ + provider: 'openai', + model: 'qwen-plus', + api_key: '', + base_url: '', + temperature: 0.7, + temperature_enabled: false, + max_tokens: 4096, + }); + const [isSaving, setIsSaving] = useState(false); + const [saveMessage, setSaveMessage] = useState(''); + + // Load LLM config on mount + useEffect(() => { + const loadConfig = async () => { + const response = await configAPI.getLLM(); + if (response.success && response.data) { + setLLMConfig(response.data); + } + }; + loadConfig(); + }, []); + + const handleSave = async () => { + setIsSaving(true); + setSaveMessage(''); + + const response = await configAPI.saveLLM(llmConfig); + + if (response.success) { + setSaveMessage('Configuration saved successfully!'); + } else { + setSaveMessage(`Error: ${response.error || 'Failed to save configuration'}`); + } + + setIsSaving(false); + setTimeout(() => setSaveMessage(''), 3000); + }; + + return ( +
+
+
+

+ Settings +

+

+ Configure your MS-Agent platform settings +

+
+ + {/* Theme Settings */} +
+

+ Theme +

+
+ + +
+
+ + {/* LLM Configuration */} +
+

+ LLM Configuration +

+ +
+ {/* Provider */} +
+ + +
+ + {/* Model */} +
+ + setLLMConfig({ ...llmConfig, model: e.target.value })} + placeholder="e.g., qwen-plus, gpt-4" + className="w-full px-3 py-2 bg-white dark:bg-slate-700 border border-slate-200 dark:border-slate-600 rounded-lg text-slate-900 dark:text-slate-100 focus:outline-none focus:ring-2 focus:ring-blue-500/20 focus:border-blue-500" + /> +
+ + {/* API Key */} +
+ + setLLMConfig({ ...llmConfig, api_key: e.target.value })} + placeholder="Enter your API key" + className="w-full px-3 py-2 bg-white dark:bg-slate-700 border border-slate-200 dark:border-slate-600 rounded-lg text-slate-900 dark:text-slate-100 focus:outline-none focus:ring-2 focus:ring-blue-500/20 focus:border-blue-500" + /> +
+ + {/* Base URL */} +
+ + setLLMConfig({ ...llmConfig, base_url: e.target.value })} + placeholder="https://api.openai.com/v1" + className="w-full px-3 py-2 bg-white dark:bg-slate-700 border border-slate-200 dark:border-slate-600 rounded-lg text-slate-900 dark:text-slate-100 focus:outline-none focus:ring-2 focus:ring-blue-500/20 focus:border-blue-500" + /> +
+ + {/* Temperature */} +
+
+ + +
+ setLLMConfig({ ...llmConfig, temperature: parseFloat(e.target.value) })} + disabled={!llmConfig.temperature_enabled} + className="w-full" + /> +
+ + {/* Max Tokens */} +
+ + setLLMConfig({ ...llmConfig, max_tokens: parseInt(e.target.value) })} + className="w-full px-3 py-2 bg-white dark:bg-slate-700 border border-slate-200 dark:border-slate-600 rounded-lg text-slate-900 dark:text-slate-100 focus:outline-none focus:ring-2 focus:ring-blue-500/20 focus:border-blue-500" + /> +
+
+
+ + {/* Save Button */} +
+
+ {saveMessage && ( +

+ {saveMessage} +

+ )} +
+ +
+
+
+ ); +} diff --git a/webui/frontend/components/Sidebar.tsx b/webui/frontend/components/Sidebar.tsx new file mode 100644 index 000000000..cbea1820c --- /dev/null +++ b/webui/frontend/components/Sidebar.tsx @@ -0,0 +1,248 @@ +'use client'; + +import { useState } from 'react'; +import Link from 'next/link'; +import { usePathname } from 'next/navigation'; +import { + Home, + Monitor, + Settings, + ChevronsLeft, + ChevronsRight, + Github, +} from 'lucide-react'; +import { useGlobal } from '@/context/GlobalContext'; + +const SIDEBAR_EXPANDED_WIDTH = 256; +const SIDEBAR_COLLAPSED_WIDTH = 64; + +export default function Sidebar() { + const pathname = usePathname(); + const { sidebarCollapsed, setSidebarCollapsed } = useGlobal(); + + const toggleSidebar = () => { + setSidebarCollapsed(!sidebarCollapsed); + }; + + const [showTooltip, setShowTooltip] = useState(null); + + const navGroups = [ + { + name: '', + items: [ + { name: 'Home', href: '/', icon: Home }, + { name: 'Monitor', href: '/monitor', icon: Monitor }, + ], + }, + ]; + + const currentWidth = sidebarCollapsed + ? SIDEBAR_COLLAPSED_WIDTH + : SIDEBAR_EXPANDED_WIDTH; + + // Collapsed sidebar + if (sidebarCollapsed) { + return ( +
+ {/* Header */} +
+
+ MS +
+
+ + {/* Navigation */} + + + {/* Footer */} +
+
+ setShowTooltip('/settings')} + onMouseLeave={() => setShowTooltip(null)} + > + + + {showTooltip === '/settings' && ( +
+ Settings +
+
+ )} +
+ + {/* Expand button */} + +
+
+ ); + } + + // Expanded sidebar + return ( +
+ {/* Header */} +
+
+
+
+
+ MS +
+

+ MS-Agent +

+
+
+ {/* Collapse button */} + + + + +
+
+ +
+ ✨ ModelScope Team +
+
+
+ + {/* Navigation */} + + + {/* Footer */} +
+ + + Settings + +
+
+ ); +} diff --git a/webui/frontend/components/ThemeScript.tsx b/webui/frontend/components/ThemeScript.tsx new file mode 100644 index 000000000..cb939caad --- /dev/null +++ b/webui/frontend/components/ThemeScript.tsx @@ -0,0 +1,31 @@ +'use client'; + +/** + * Theme initialization script component + * Prevents flash of unstyled content (FOUC) by applying theme before hydration + */ +export default function ThemeScript() { + // This script runs before hydration to prevent FOUC + const themeScript = ` + (function() { + try { + const stored = localStorage.getItem('ms-agent-theme'); + if (stored === 'light' || stored === 'dark') { + document.documentElement.classList.toggle('dark', stored === 'dark'); + return; + } + + const systemTheme = window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light'; + document.documentElement.classList.toggle('dark', systemTheme === 'dark'); + localStorage.setItem('ms-agent-theme', systemTheme); + } catch (e) {} + })(); + `; + + return ( + - - diff --git a/webui/frontend/next.config.ts b/webui/frontend/next.config.ts new file mode 100644 index 000000000..bdc569aa0 --- /dev/null +++ b/webui/frontend/next.config.ts @@ -0,0 +1,24 @@ +import type { NextConfig } from "next"; + +// Static export mode for production deployment +const isStaticExport = process.env.NEXT_BUILD_STATIC === "true"; + +const nextConfig: NextConfig = { + // Enable React Compiler + reactCompiler: true, + + // Static export configuration + ...(isStaticExport && { + output: "export", + images: { + unoptimized: true, + }, + }), + + // Dev indicator position + devIndicators: { + position: "bottom-right", + }, +}; + +export default nextConfig; diff --git a/webui/frontend/package-lock.json b/webui/frontend/package-lock.json index bc147c42f..ea58b8471 100644 --- a/webui/frontend/package-lock.json +++ b/webui/frontend/package-lock.json @@ -1,36 +1,56 @@ { - "name": "ms-agent-webui", - "version": "1.0.0", + "name": "frontend", + "version": "0.1.0", "lockfileVersion": 3, "requires": true, "packages": { "": { - "name": "ms-agent-webui", - "version": "1.0.0", + "name": "frontend", + "version": "0.1.0", "dependencies": { - "@emotion/react": "^11.11.3", - "@emotion/styled": "^11.11.0", - "@mui/icons-material": "^5.15.6", - "@mui/material": "^5.15.6", - "framer-motion": "^11.0.3", - "react": "^18.2.0", - "react-dom": "^18.2.0", - "react-markdown": "^9.0.1", - "react-syntax-highlighter": "^15.5.0" + "clsx": "^2.1.1", + "framer-motion": "^12.34.0", + "lucide-react": "^0.563.0", + "next": "16.1.6", + "react": "19.2.3", + "react-dom": "19.2.3", + "react-markdown": "^10.1.0", + "rehype-katex": "^7.0.1", + "rehype-raw": "^7.0.0", + "remark-gfm": "^4.0.1", + "remark-math": "^6.0.0", + "tailwind-merge": "^3.4.0" }, "devDependencies": { - "@types/react": "^18.2.48", - "@types/react-dom": "^18.2.18", - "@types/react-syntax-highlighter": "^15.5.11", - "@vitejs/plugin-react": "^4.2.1", - "typescript": "^5.3.3", - "vite": "^5.0.12" + "@tailwindcss/postcss": "^4", + "@types/node": "^20", + "@types/react": "^19", + "@types/react-dom": "^19", + "babel-plugin-react-compiler": "1.0.0", + "eslint": "^9", + "eslint-config-next": "16.1.6", + "tailwindcss": "^4", + "typescript": "^5" + } + }, + "node_modules/@alloc/quick-lru": { + "version": "5.2.0", + "resolved": "https://registry.npmjs.org/@alloc/quick-lru/-/quick-lru-5.2.0.tgz", + "integrity": "sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=10" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" } }, "node_modules/@babel/code-frame": { "version": "7.29.0", "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.29.0.tgz", "integrity": "sha512-9NhCeYjq9+3uxgdtp20LSiJXJvN0FeCtNGpJxuMFZ1Kv3cWUNb6DOhJwUvcVCzKGR66cw4njwM6hrJLqgOwbcw==", + "dev": true, "license": "MIT", "dependencies": { "@babel/helper-validator-identifier": "^7.28.5", @@ -57,6 +77,7 @@ "integrity": "sha512-CGOfOJqWjg2qW/Mb6zNsDm+u5vFQ8DxXfbM09z69p5Z6+mE1ikP2jUXw+j42Pf1XTYED2Rni5f95npYeuwMDQA==", "dev": true, "license": "MIT", + "peer": true, "dependencies": { "@babel/code-frame": "^7.29.0", "@babel/generator": "^7.29.0", @@ -82,17 +103,11 @@ "url": "https://opencollective.com/babel" } }, - "node_modules/@babel/core/node_modules/convert-source-map": { - "version": "2.0.0", - "resolved": "https://registry.npmjs.org/convert-source-map/-/convert-source-map-2.0.0.tgz", - "integrity": "sha512-Kvp459HrV2FEJ1CAsi1Ku+MY3kasH19TFykTz2xWmMeq6bk2NU3XXvfJ+Q61m0xktWwt+1HSYf3JZsTms3aRJg==", - "dev": true, - "license": "MIT" - }, "node_modules/@babel/generator": { - "version": "7.29.0", - "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.29.0.tgz", - "integrity": "sha512-vSH118/wwM/pLR38g/Sgk05sNtro6TlTJKuiMXDaZqPUfjTFcudpCOt00IhOfj+1BFAX+UFAlzCU+6WXr3GLFQ==", + "version": "7.29.1", + "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.29.1.tgz", + "integrity": "sha512-qsaF+9Qcm2Qv8SRIMMscAvG4O3lJ0F1GuMo5HR/Bp02LopNgnZBC/EkbevHFeGs4ls/oPz9v+Bsmzbkbe+0dUw==", + "dev": true, "license": "MIT", "dependencies": { "@babel/parser": "^7.29.0", @@ -126,6 +141,7 @@ "version": "7.28.0", "resolved": "https://registry.npmjs.org/@babel/helper-globals/-/helper-globals-7.28.0.tgz", "integrity": "sha512-+W6cISkXFa1jXsDEdYA8HeevQT/FULhxzR99pxphltZcVaugps53THCeiWA8SguxxpSp3gKPiuYfSWopkLQ4hw==", + "dev": true, "license": "MIT", "engines": { "node": ">=6.9.0" @@ -135,6 +151,7 @@ "version": "7.28.6", "resolved": "https://registry.npmjs.org/@babel/helper-module-imports/-/helper-module-imports-7.28.6.tgz", "integrity": "sha512-l5XkZK7r7wa9LucGw9LwZyyCUscb4x37JWTPz7swwFE/0FMQAGpiWUZn8u9DzkSBWEcK25jmvubfpw2dnAMdbw==", + "dev": true, "license": "MIT", "dependencies": { "@babel/traverse": "^7.28.6", @@ -162,20 +179,11 @@ "@babel/core": "^7.0.0" } }, - "node_modules/@babel/helper-plugin-utils": { - "version": "7.28.6", - "resolved": "https://registry.npmjs.org/@babel/helper-plugin-utils/-/helper-plugin-utils-7.28.6.tgz", - "integrity": "sha512-S9gzZ/bz83GRysI7gAD4wPT/AI3uCnY+9xn+Mx/KPs2JwHJIz1W8PZkg2cqyt3RNOBM8ejcXhV6y8Og7ly/Dug==", - "dev": true, - "license": "MIT", - "engines": { - "node": ">=6.9.0" - } - }, "node_modules/@babel/helper-string-parser": { "version": "7.27.1", "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.27.1.tgz", "integrity": "sha512-qMlSxKbpRlAridDExk92nSobyDdpPijUq2DW6oDnUqd0iOGxmQjyqhMIihI9+zv4LPyZdRje2cavWPbCbWm3eA==", + "devOptional": true, "license": "MIT", "engines": { "node": ">=6.9.0" @@ -185,6 +193,7 @@ "version": "7.28.5", "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.28.5.tgz", "integrity": "sha512-qSs4ifwzKJSV39ucNjsvc6WVHs6b7S03sOh2OcHF9UHfVPqWWALUsNUVzhSBiItjRZoLHx7nIarVjqKVusUZ1Q==", + "devOptional": true, "license": "MIT", "engines": { "node": ">=6.9.0" @@ -218,6 +227,7 @@ "version": "7.29.0", "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.29.0.tgz", "integrity": "sha512-IyDgFV5GeDUVX4YdF/3CPULtVGSXXMLh1xVIgdCgxApktqnQV0r7/8Nqthg+8YLGaAtdyIlo2qIdZrbCv4+7ww==", + "dev": true, "license": "MIT", "dependencies": { "@babel/types": "^7.29.0" @@ -229,51 +239,11 @@ "node": ">=6.0.0" } }, - "node_modules/@babel/plugin-transform-react-jsx-self": { - "version": "7.27.1", - "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-jsx-self/-/plugin-transform-react-jsx-self-7.27.1.tgz", - "integrity": "sha512-6UzkCs+ejGdZ5mFFC/OCUrv028ab2fp1znZmCZjAOBKiBK2jXD1O+BPSfX8X2qjJ75fZBMSnQn3Rq2mrBJK2mw==", - "dev": true, - "license": "MIT", - "dependencies": { - "@babel/helper-plugin-utils": "^7.27.1" - }, - "engines": { - "node": ">=6.9.0" - }, 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"https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.2.3.tgz", @@ -3833,6 +8245,16 @@ "browserslist": ">= 4.21.0" } }, + "node_modules/uri-js": { + "version": "4.4.1", + "resolved": "https://registry.npmjs.org/uri-js/-/uri-js-4.4.1.tgz", + "integrity": "sha512-7rKUyy33Q1yc98pQ1DAmLtwX109F7TIfWlW1Ydo8Wl1ii1SeHieeh0HHfPeL2fMXK6z0s8ecKs9frCuLJvndBg==", + "dev": true, + "license": "BSD-2-Clause", + "dependencies": { + "punycode": "^2.1.0" + } + }, "node_modules/vfile": { "version": "6.0.3", "resolved": "https://registry.npmjs.org/vfile/-/vfile-6.0.3.tgz", @@ -3847,6 +8269,20 @@ "url": "https://opencollective.com/unified" } }, + "node_modules/vfile-location": { + "version": "5.0.3", + "resolved": "https://registry.npmjs.org/vfile-location/-/vfile-location-5.0.3.tgz", + "integrity": "sha512-5yXvWDEgqeiYiBe1lbxYF7UMAIm/IcopxMHrMQDq3nvKcjPKIhZklUKL+AE7J7uApI4kwe2snsK+eI6UTj9EHg==", + "license": "MIT", + "dependencies": { + "@types/unist": "^3.0.0", + "vfile": "^6.0.0" 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"https://github.com/vitejs/vite?sponsor=1" + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/which-builtin-type": { + "version": "1.2.1", + "resolved": "https://registry.npmjs.org/which-builtin-type/-/which-builtin-type-1.2.1.tgz", + "integrity": "sha512-6iBczoX+kDQ7a3+YJBnh3T+KZRxM/iYNPXicqk66/Qfm1b93iu+yOImkg0zHbj5LNOcNv1TEADiZ0xa34B4q6Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "call-bound": "^1.0.2", + "function.prototype.name": "^1.1.6", + "has-tostringtag": "^1.0.2", + "is-async-function": "^2.0.0", + "is-date-object": "^1.1.0", + "is-finalizationregistry": "^1.1.0", + "is-generator-function": "^1.0.10", + "is-regex": "^1.2.1", + "is-weakref": "^1.0.2", + "isarray": "^2.0.5", + "which-boxed-primitive": "^1.1.0", + "which-collection": "^1.0.2", + "which-typed-array": "^1.1.16" }, - "optionalDependencies": { - "fsevents": "~2.3.3" + "engines": { + "node": ">= 0.4" }, - "peerDependencies": { - "@types/node": "^18.0.0 || >=20.0.0", - "less": 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+ "funding": { + "url": "https://github.com/sponsors/ljharb" } }, - "node_modules/xtend": { - "version": "4.0.2", - "resolved": "https://registry.npmjs.org/xtend/-/xtend-4.0.2.tgz", - "integrity": "sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ==", + "node_modules/which-typed-array": { + "version": "1.1.20", + "resolved": "https://registry.npmjs.org/which-typed-array/-/which-typed-array-1.1.20.tgz", + "integrity": "sha512-LYfpUkmqwl0h9A2HL09Mms427Q1RZWuOHsukfVcKRq9q95iQxdw0ix1JQrqbcDR9PH1QDwf5Qo8OZb5lksZ8Xg==", + "dev": true, + "license": "MIT", + "dependencies": { + "available-typed-arrays": "^1.0.7", + "call-bind": "^1.0.8", + "call-bound": "^1.0.4", + "for-each": "^0.3.5", + "get-proto": "^1.0.1", + "gopd": "^1.2.0", + "has-tostringtag": "^1.0.2" + }, + "engines": { + "node": ">= 0.4" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/word-wrap": { + "version": "1.2.5", + "resolved": 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+ } + }, + "node_modules/zod": { + "version": "4.3.6", + "resolved": "https://registry.npmjs.org/zod/-/zod-4.3.6.tgz", + "integrity": "sha512-rftlrkhHZOcjDwkGlnUtZZkvaPHCsDATp4pGpuOOMDaTdDDXF91wuVDJoWoPsKX/3YPQ5fHuF3STjcYyKr+Qhg==", + "dev": true, + "license": "MIT", + "peer": true, + "funding": { + "url": "https://github.com/sponsors/colinhacks" + } + }, + "node_modules/zod-validation-error": { + "version": "4.0.2", + "resolved": "https://registry.npmjs.org/zod-validation-error/-/zod-validation-error-4.0.2.tgz", + "integrity": "sha512-Q6/nZLe6jxuU80qb/4uJ4t5v2VEZ44lzQjPDhYJNztRQ4wyWc6VF3D3Kb/fAuPetZQnhS3hnajCf9CsWesghLQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=18.0.0" + }, + "peerDependencies": { + "zod": "^3.25.0 || ^4.0.0" } }, "node_modules/zwitch": { diff --git a/webui/frontend/package.json b/webui/frontend/package.json index 8a88cb6bb..d37e3c32c 100644 --- a/webui/frontend/package.json +++ b/webui/frontend/package.json @@ -1,30 +1,36 @@ { - "name": "ms-agent-webui", + "name": "frontend", + "version": "0.1.0", "private": true, - "version": "1.0.0", - "type": "module", "scripts": { - "dev": "vite", - "build": "tsc && vite build", - "preview": "vite preview" + "dev": "next dev", + "build": "next build", + "start": "next start", + "lint": "eslint" }, "dependencies": { - "@emotion/react": "^11.11.3", - "@emotion/styled": "^11.11.0", - "@mui/icons-material": "^5.15.6", - "@mui/material": "^5.15.6", - "framer-motion": "^11.0.3", - "react": "^18.2.0", - "react-dom": "^18.2.0", - "react-markdown": "^9.0.1", - "react-syntax-highlighter": "^15.5.0" + "clsx": "^2.1.1", + "framer-motion": "^12.34.0", + "lucide-react": "^0.563.0", + "next": "16.1.6", + "react": "19.2.3", + "react-dom": "19.2.3", + "react-markdown": "^10.1.0", + "rehype-katex": "^7.0.1", + "rehype-raw": "^7.0.0", + "remark-gfm": "^4.0.1", + "remark-math": "^6.0.0", + "tailwind-merge": "^3.4.0" }, "devDependencies": { - "@types/react": "^18.2.48", - "@types/react-dom": "^18.2.18", - "@types/react-syntax-highlighter": "^15.5.11", - "@vitejs/plugin-react": "^4.2.1", - "typescript": "^5.3.3", - "vite": "^5.0.12" + "@tailwindcss/postcss": "^4", + "@types/node": "^20", + "@types/react": "^19", + "@types/react-dom": "^19", + "babel-plugin-react-compiler": "1.0.0", + "eslint": "^9", + "eslint-config-next": "16.1.6", + "tailwindcss": "^4", + "typescript": "^5" } } diff --git a/webui/frontend/postcss.config.mjs b/webui/frontend/postcss.config.mjs new file mode 100644 index 000000000..61e36849c --- /dev/null +++ b/webui/frontend/postcss.config.mjs @@ -0,0 +1,7 @@ +const config = { + plugins: { + "@tailwindcss/postcss": {}, + }, +}; + +export default config; diff --git a/webui/frontend/public/file.svg b/webui/frontend/public/file.svg new file mode 100644 index 000000000..004145cdd --- /dev/null +++ b/webui/frontend/public/file.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/webui/frontend/public/globe.svg b/webui/frontend/public/globe.svg new file mode 100644 index 000000000..567f17b0d --- /dev/null +++ b/webui/frontend/public/globe.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/webui/frontend/public/next.svg b/webui/frontend/public/next.svg new file mode 100644 index 000000000..5174b28c5 --- /dev/null +++ b/webui/frontend/public/next.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/webui/frontend/public/vercel.svg b/webui/frontend/public/vercel.svg new file mode 100644 index 000000000..770539603 --- /dev/null +++ b/webui/frontend/public/vercel.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/webui/frontend/public/window.svg b/webui/frontend/public/window.svg new file mode 100644 index 000000000..b2b2a44f6 --- /dev/null +++ b/webui/frontend/public/window.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/webui/frontend/tailwind.config.js b/webui/frontend/tailwind.config.js new file mode 100644 index 000000000..f2b1f0875 --- /dev/null +++ b/webui/frontend/tailwind.config.js @@ -0,0 +1,59 @@ +/** @type {import('tailwindcss').Config} */ +module.exports = { + content: [ + './app/**/*.{js,ts,jsx,tsx,mdx}', + './components/**/*.{js,ts,jsx,tsx,mdx}', + './context/**/*.{js,ts,jsx,tsx,mdx}', + './lib/**/*.{js,ts,jsx,tsx,mdx}', + ], + darkMode: 'class', + theme: { + extend: { + spacing: { + '120': '30rem', + }, + backgroundImage: { + 'gradient-radial': 'radial-gradient(var(--tw-gradient-stops))', + 'gradient-conic': 'conic-gradient(from 180deg at 50% 50%, var(--tw-gradient-stops))', + }, + animation: { + 'fade-in': 'fadeIn 0.5s ease-in-out', + 'slide-in-from-bottom': 'slideInFromBottom 0.3s ease-out', + 'slide-in-from-bottom-2': 'slideInFromBottom2 0.4s ease-out', + 'in': 'in 0.2s ease-out', + }, + keyframes: { + fadeIn: { + '0%': { opacity: '0' }, + '100%': { opacity: '1' }, + }, + slideInFromBottom: { + '0%': { transform: 'translateY(10px)', opacity: '0' }, + '100%': { transform: 'translateY(0)', opacity: '1' }, + }, + slideInFromBottom2: { + '0%': { transform: 'translateY(20px)', opacity: '0' }, + '100%': { transform: 'translateY(0)', opacity: '1' }, + }, + in: { + '0%': { opacity: '0', transform: 'scale(0.95)' }, + '100%': { opacity: '1', transform: 'scale(1)' }, + }, + }, + }, + }, + plugins: [], + safelist: [ + // Color classes for dynamic usage + 'text-red-600', 'text-red-400', 'bg-red-100', 'bg-red-900/30', + 'text-orange-600', 'text-orange-400', 'bg-orange-100', 'bg-orange-900/30', + 'text-green-600', 'text-green-400', 'bg-green-100', 'bg-green-900/30', + 'text-blue-600', 'text-blue-400', 'bg-blue-100', 'bg-blue-900/30', + 'text-purple-600', 'text-purple-400', 'bg-purple-100', 'bg-purple-900/30', + 'text-emerald-600', 'text-emerald-400', 'bg-emerald-100', 'bg-emerald-900/30', + 'hover:border-red-300', 'hover:border-orange-300', 'hover:border-green-300', + 'hover:border-blue-300', 'hover:border-purple-300', 'hover:border-emerald-300', + 'dark:hover:border-red-600', 'dark:hover:border-orange-600', 'dark:hover:border-green-600', + 'dark:hover:border-blue-600', 'dark:hover:border-purple-600', 'dark:hover:border-emerald-600', + ], +} diff --git a/webui/frontend/tsconfig.json b/webui/frontend/tsconfig.json index 3934b8f6d..3a13f90a7 100644 --- a/webui/frontend/tsconfig.json +++ b/webui/frontend/tsconfig.json @@ -1,21 +1,34 @@ { "compilerOptions": { - "target": "ES2020", - "useDefineForClassFields": true, - "lib": ["ES2020", "DOM", "DOM.Iterable"], - "module": "ESNext", + "target": "ES2017", + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": true, "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", "moduleResolution": "bundler", - "allowImportingTsExtensions": true, "resolveJsonModule": true, "isolatedModules": true, - "noEmit": true, "jsx": "react-jsx", - "strict": true, - "noUnusedLocals": true, - "noUnusedParameters": true, - "noFallthroughCasesInSwitch": true + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": ["./*"] + } }, - "include": ["src"], - "references": [{ "path": "./tsconfig.node.json" }] + "include": [ + "next-env.d.ts", + "**/*.ts", + "**/*.tsx", + ".next/types/**/*.ts", + ".next/dev/types/**/*.ts", + "**/*.mts" + ], + "exclude": ["node_modules"] } diff --git a/webui/frontend/types/api.ts b/webui/frontend/types/api.ts new file mode 100644 index 000000000..b1272e07e --- /dev/null +++ b/webui/frontend/types/api.ts @@ -0,0 +1,132 @@ +// API Types for MS-Agent + +export interface SessionCreate { + project_id?: string; + query?: string; + workflow_type?: 'standard' | 'simple'; + session_type?: 'project' | 'chat'; +} + +export interface SessionInfo { + id: string; + project_id: string; + project_name: string; + status: 'idle' | 'running' | 'completed' | 'error'; + created_at: string; + session_type?: 'project' | 'chat'; + workflow_progress?: WorkflowProgress; + file_progress?: FileProgress; + current_step?: string; +} + +export interface WorkflowProgress { + current_step: string; + total_steps: number; + completed_steps: number; + status: string; +} + +export interface FileProgress { + files: FileInfo[]; + total: number; +} + +export interface FileInfo { + path: string; + name: string; + size: number; + modified: string; +} + +export interface LLMConfig { + provider: string; + model: string; + api_key?: string; + base_url?: string; + temperature?: number; + temperature_enabled?: boolean; + max_tokens?: number; +} + +export interface DeepResearchAgentConfig { + model?: string; + api_key?: string; + base_url?: string; +} + +export interface DeepResearchSearchConfig { + summarizer_model?: string; + summarizer_api_key?: string; + summarizer_base_url?: string; +} + +export interface DeepResearchConfig { + researcher: DeepResearchAgentConfig; + searcher: DeepResearchAgentConfig; + reporter: DeepResearchAgentConfig; + search: DeepResearchSearchConfig; +} + +export interface MCPServerConfig { + name: string; + type: 'stdio' | 'sse'; + command?: string; + args?: string[]; + url?: string; + env?: Record; +} + +export interface ProjectInfo { + id: string; + name: string; + display_name: string; + description: string; + type: 'workflow' | 'agent'; + path: string; + has_readme: boolean; + supports_workflow_switch: boolean; +} + +export interface ChatMessage { + role: 'user' | 'assistant' | 'system' | 'tool'; + content: string; + timestamp?: string; + type?: 'text' | 'tool_call' | 'tool_result' | 'error' | 'log'; + metadata?: any; +} + +export interface APIResponse { + success: boolean; + message?: string; + data?: T; + error?: string; +} + +// WebSocket Message Types +export type WSMessageType = + | 'connected' + | 'status' + | 'log' + | 'tool_call' + | 'tool_result' + | 'result' + | 'error' + | 'progress' + | 'stream'; + +export interface WSMessage { + type: WSMessageType; + content?: any; + timestamp?: string; + session_id?: string; + status?: string; + message?: string; + level?: string; + tool_name?: string; + tool_args?: any; + tool_call_id?: string; + result?: any; + round?: number; + progress?: number; + stage?: string; +} diff --git a/webui/frontend_backup_20260212_112822/package-lock.json b/webui/frontend_backup_20260212_112822/package-lock.json new file mode 100644 index 000000000..bc147c42f --- /dev/null +++ b/webui/frontend_backup_20260212_112822/package-lock.json @@ -0,0 +1,3960 @@ +{ + "name": "ms-agent-webui", + "version": "1.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "ms-agent-webui", + "version": "1.0.0", + "dependencies": { + "@emotion/react": "^11.11.3", + "@emotion/styled": "^11.11.0", + "@mui/icons-material": "^5.15.6", + "@mui/material": "^5.15.6", + "framer-motion": "^11.0.3", + "react": "^18.2.0", + "react-dom": "^18.2.0", + "react-markdown": "^9.0.1", + "react-syntax-highlighter": "^15.5.0" + }, + "devDependencies": { + "@types/react": "^18.2.48", + "@types/react-dom": "^18.2.18", + "@types/react-syntax-highlighter": "^15.5.11", + "@vitejs/plugin-react": "^4.2.1", + 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