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  // 可选，请求超时时间（毫秒）\n  headers?: Record<string, string>,  // 可选，自定义请求头\n  tenantSecret?: string, // 可选，租户密钥 (⚠️ 仅用于调试，禁止在生产环境使用)\n})\n```\n\n#### 方法\n\n##### `getWorkflows(page?: number, pageSize?: number)`\n\n获取工作流列表。\n\n```typescript\n// 分页获取工作流，默认 page=1, pageSize=10\nconst { items, total } = await client.getWorkflows(1, 20)\nconsole.log(`共 ${total} 个工作流`)\n```\n\n##### `getWorkflow(id: string)`\n\n获取工作流详情。\n\n```typescript\nconst workflow = await client.getWorkflow('workflow-id')\nconsole.log(workflow.name, workflow.description)\n```\n\n##### `createSession(workflowId: string, options?: SessionOptions)`\n\n创建工作流会话。\n\n```typescript\n// 新会话\nconst session = client.createSession('workflow-id')\n\n// 恢复已有会话\nconst session = client.createSession('workflow-id', {\n  threadId: 'existing-thread-id',\n})\n```\n\n---\n\n### WorkflowSession\n\n工作流会话类，管理消息状态和执行流程。\n\n#### 方法\n\n##### `on(event, listener)`\n\n监听事件。事件语义与后端 SSE 推送保持一致（见 `docs/sse-event-protocol.md`）。\n\n**事件说明与常见用法**\n\n- `start`：工作流开始执行。会返回后端确认的 `threadId`；`title` 仅在新会话时返回（默认为工作流名）。\n  - 常见用法：首次拿到 `threadId` 后持久化，便于恢复会话。\n- `nodeStart`：某个节点开始执行（排除了 LangGraph 内置的 `__start__/__end__`）。\n  - 常见用法：在 UI 上标记「当前节点」，或显示步骤进度。\n- `nodeEnd`：某个节点执行结束，可能包含 `variables` 和/或 `messages`。\n  - 常见用法：更新节点级结果或收集中间产物。\n  - 注意：后端当前只透传 billing 相关变量；`brain/loop` 节点的消息已在流式 token 中渲染，这里会省略以避免重复。\n- `token`：LLM 流式 token。`isReasoning` 表示推理内容（例如 DeepSeek 的 reasoning_content）。\n  - 常见用法：实现打字机效果；区分显示「推理」与「最终输出」。\n- `loading`：仅在 Loading 节点触发，`message` 为配置的提示语（纯字符串）。\n  - 常见用法：展示阶段性加载提示。\n- `title`：异步生成的会话标题（仅新会话）。通常在 `start` 之后稍晚到达。\n  - 常见用法：更新会话列表标题/面包屑。\n- `complete`：本次执行成功结束。\n  - 常见用法：停止输入框 loading、允许再次发送。\n- `error`：执行出错时触发（错误时不会再触发 `complete`）。\n  - 常见用法：toast 提示、错误上报、兜底 UI。\n\n```typescript\nsession.on('start', ({ threadId, title }) => {\n  // 工作流开始执行，获取到后端确认的 threadId\n  // title 只有新会话才会有（默认为工作流名称）\n  // 建议持久化 threadId，便于恢复会话\n})\n\nsession.on('nodeStart', ({ nodeId }) => {\n  // 节点开始执行\n})\n\nsession.on('nodeEnd', ({ nodeId, variables, messages }) => {\n  // 节点执行结束\n  // variables: 目前只包含 billing 相关变量\n  // messages: brain/loop 节点通常已在 token 中渲染，可能为空\n})\n\nsession.on('token', ({ nodeId, content, isReasoning }) => {\n  // 收到流式 token（用于打字机效果）\n  // isReasoning 为 true 时表示推理内容\n})\n\nsession.on('loading', ({ nodeId, message }) => {\n  // Loading 节点的提示语（纯字符串）\n  console.log('Loading:', message)\n})\n\nsession.on('title', ({ title }) => {\n  // 收到标题事件，用于更新会话标题\n  console.log('会话标题:', title)\n})\n\nsession.on('complete', () => {\n  // 工作流执行完成（成功）\n})\n\nsession.on('error', ({ message }) => {\n  // 发生错误\n})\n\nsession.on('contentAction', ({ type, payload }) => {\n  // 内容区域（如 Markdown）触发的自定义动作\n  if (type === 'workflow') {\n    const { workflowId, params } = payload\n    console.log('跳转工作流:', workflowId, '参数:', params)\n  }\n})\n```\n\n**Markdown 交互 (自定义协议)**\n\nSDK 的 Markdown 组件支持通过特殊协议触发 `contentAction` 事件，方便在内容中嵌入交互按钮或链接：\n\n- **跳转工作流**：使用 `workflow:` 协议。\n  格式：`[文字](workflow:工作流ID?参数1=值1&参数2=值2)`\n  示例：`[查看详情](workflow:cm0p1234?from=chat)`\n\n当用户点击此类链接时，SDK 不会执行页面跳转，而是触发 `contentAction` 事件，由宿主应用决定如何处理（如切换侧边栏、打开弹窗等）。\n\n---\n\n### 结构化内容处理 (WorkflowRegistry)\n\n为了在聊天内容中更美观地展示工作流引用，SDK 提供了 `<workflow>` 自定义标签和全局注册机制。\n\n#### 1. 全局注册工作流信息\n\n在应用顶层（或页面容器层）使用 `WorkflowRegistry` 注入工作流的展示名称和图标：\n\n```tsx\nimport { WorkflowRegistry } from 'wtfai';\nimport { RobotOutlined } from '@ant-design/icons';\n\nconst MY_WORKFLOWS = {\n  'wf_week_report': { \n    name: '自动化周报', \n    icon: <RobotOutlined /> \n  },\n};\n\n// 在容器层包裹一次即可\n<WorkflowRegistry mapping={MY_WORKFLOWS}>\n   <App />\n</WorkflowRegistry>\n```\n\n#### 2. 在 Markdown 中使用\n\n通过自定义标签 `<workflow id=\"xxx\" />` 引用工作流：\n\n- **基本用法**：`<workflow id=\"wf_week_report\" />`\n- **自定义文字**：`<workflow id=\"wf_week_report\">立即查看</workflow>`\n\n**渲染效果**：\nSDK 会自动将其渲染为一个美观的“药丸状”卡片按钮，包含图标和名称。如果 `WorkflowRegistry` 中没有匹配到 ID，则会降级显示标签内容或 ID。\n\n点击该卡片会触发 `contentAction` 事件，`type` 为 `'workflow'`。\n\n#### 3. 内容包装器 (contentWrapper)\n\n`WorkflowRegistry` 支持 `contentWrapper` 属性，允许开发者在渲染 Markdown 内容前对其进行包装或增强。目前支持对 `code` 块进行包装。\n\n**配置类型**：\n\n```typescript\nexport type ContentWrapperConfig = {\n  code?: (\n    props: ComponentProps, // props 包含 lang, children, streamStatus 等\n  ) => ((children: ReactNode) => ReactNode) | null | undefined | false\n}\n```\n\n**使用示例**：\n\n比如，你想给所有的 `html:run` 类型的代码预览块增加一个自定义的消息提示：\n\n```tsx\nimport { WorkflowRegistry } from 'wtfai';\n\n<WorkflowRegistry\n  contentWrapper={{\n    code: (props) => {\n      // 只有特定语言才进行包装\n      if (props.lang === 'html:run') {\n        return (children) => (\n          <div className=\"my-custom-wrapper\">\n            <div className=\"wrapper-header\">这是我自定义加的内容</div>\n            {children}\n          </div>\n        )\n      }\n      return false // 返回 false 表示不包装，由 SDK 按默认方式渲染\n    },\n  }}\n>\n  <ChatPage />\n</WorkflowRegistry>\n```\n\n这种机制非常适合在不修改 SDK 源码的前提下，为特定类型的内容增加业务相关的 UI 装饰（如操作按钮、免责声明、权限校验提示等）。\n\n#### 4. 消息导出\n\nSDK 提供 `exportMessages` 用于导出当前会话消息，并会把 Mermaid 等图表内容导出为图片数据。导出结果不会自动下载文件；如需生成文件内容，可使用 `createExportedMessagesBlob` 得到 `Blob`，后续上传、保存或下载由宿主应用自行决定。\n\n**配置导出上下文**\n\n导出需要知道消息数据和对应的 Markdown 容器 DOM。通常在渲染消息列表的外层传入 `exportConfig`：\n\n```tsx\nimport { useRef } from 'react'\nimport {\n  WorkflowRegistry,\n  exportMessages,\n  createExportedMessagesBlob,\n  type WorkflowExportConfig,\n} from 'wtfai'\n\nconst messageListRef = useRef<HTMLDivElement>(null)\n\nconst exportConfig: WorkflowExportConfig = {\n  containerRef: messageListRef,\n  messages,\n}\n\nasync function handleExport() {\n  const payload = await exportMessages(exportConfig)\n  const blob = createExportedMessagesBlob(payload)\n\n  // SDK 只返回数据，不假设业务如何消费。\n  // 下面仅演示浏览器下载，实际也可以上传到服务器或写入 IndexedDB。\n  const url = URL.createObjectURL(blob)\n  const link = document.createElement('a')\n  link.href = url\n  link.download = `chat-export-${Date.now()}.json`\n  link.click()\n  URL.revokeObjectURL(url)\n}\n\nreturn (\n  <div ref={messageListRef}>\n    <WorkflowRegistry exportConfig={exportConfig}>\n      <MessageList messages={messages} />\n    </WorkflowRegistry>\n  </div>\n)\n```\n\n**导出结果结构**\n\n每条消息会保留原始内容，同时提供一个普通 Markdown 渲染器可直接展示的内容字段：\n\n```typescript\ntype ExportedMessage = {\n  id: string\n  role: 'user' | 'assistant'\n  content: string\n  renderableContent: string\n  attachments?: unknown\n  chartImages: Array<{\n    kind: string\n    format: 'png'\n    dataUrl: string\n  }>\n}\n```\n\n- `content`：原始消息内容，不做修改。\n- `renderableContent`：可直接渲染的 Markdown 内容。SDK 会把已成功导出的 Mermaid 等代码块替换为 Markdown 图片标记，图片地址为 base64 data URL。\n- `chartImages`：结构化的图表图片数据，便于业务侧单独存储、上传或二次处理。\n\n**最佳实践（推荐组合）**\n\n1. **打字机效果**：使用 `token` 拼接流式内容。\n2. **消息列表**：优先由 `token` 推进 AI 回复；`nodeEnd` 仅用于补齐非 brain/loop 节点的消息。\n3. **加载状态**：`loading` 展示阶段性提示，`complete/error` 关闭 loading 并解锁输入。\n4. **会话管理**：在 `start` 保存 `threadId`，`title` 更新会话标题。\n\n##### `off(event, listener)`\n\n移除事件监听。\n\n```typescript\nconst onToken = (data) => console.log(data)\nsession.on('token', onToken)\n\n// 不需要时移除监听\nsession.off('token', onToken)\n```\n\n##### `send(input: SendInput)`\n\n发送消息执行工作流。\n\n```typescript\n// 基础用法：纯文本\nawait session.send({\n  parts: [\n    { type: 'text', text: '你好' }\n  ]\n})\n\n// 图片 + 文本（使用 File）\nawait session.send({\n  parts: [\n    { type: 'text', text: '请分析下面的图片：' },\n    { type: 'image', file: imageFile },\n    { type: 'text', text: '说明这张图的内容' }\n  ]\n})\n\n// 图片 + 文本（使用 URL）\nawait session.send({\n  parts: [\n    { type: 'text', text: '请对比这两张图片：' },\n    { type: 'image', url: 'https://example.com/img1.jpg' },\n    { type: 'image', url: 'https://example.com/img2.jpg' }\n  ]\n})\n\n// 完整示例：文本 + 图片 + 文档\nawait session.send({\n  parts: [\n    { type: 'text', text: '请对比下面两张图片：' },\n    { type: 'image', file: imageFile1 },\n    { type: 'image', file: imageFile2 },\n    { type: 'text', text: '然后参考这份报告：' },\n    { \n      type: 'document',\n      file: pdfFile,\n      filename: 'report.pdf'\n    },\n    { type: 'text', text: '说明第一张图的问题在哪里' }\n  ]\n})\n\n// 使用 blob URL\nawait session.send({\n  parts: [\n    { type: 'text', text: '分析这张图：' },\n    { type: 'image', url: blobUrl },  // 会自动上传\n  ]\n})\n```\n\n**说明**：\n- `parts` 数组中的元素会按顺序传递给 LLM，使大模型能准确理解位置指代（如\"下面的图片\"、\"第一张图\"）\n- `image` 和 `document` 类型必须提供 `file` 或 `url` 之一\n- 图片 File 会自动压缩到 1920px 以内，质量 0.8\n- blob URL 会自动上传到服务器\n\n\n##### `restore()`\n\n恢复历史会话（需要在创建 session 时传入 threadId）。\n\n```typescript\nconst session = client.createSession('workflow-id', {\n  threadId: 'existing-thread-id',\n})\nawait session.restore()\n// 会将历史消息写入 state，可通过 getState 获取\n```\n\n##### `updateSessionTitle(title: string)`\n\n更新会话标题（手动修改）。\n\n```typescript\nawait session.updateSessionTitle('新的会话标题')\n// 会更新服务端变量，并触发 title 事件\n```\n\n##### `getState()`\n\n获取当前状态快照。\n\n```typescript\nconst state = session.getState()\nconsole.log(state.messages)\nconsole.log(state.isExecuting)\n```\n\n##### `abort()`\n\n中止当前执行。\n\n```typescript\nsession.abort()\n```\n\n##### `dispose()`\n\n释放会话资源：移除所有事件监听并中止执行，同时清空会话内部状态。被释放的 session 不可再使用。\n\n```typescript\nsession.dispose()\n```\n\n**说明**：\n- `abort()` 仅用于中断当前执行（比如用户点击停止生成）\n- `dispose()` 用于彻底清理会话（组件卸载、切换会话时），调用后不可再复用该 session\n\n##### `setWorkflowVariables(values)`\n\n更新服务端会话变量。\n\n```typescript\nawait session.setWorkflowVariables({\n  key: 'value',\n  userPreference: { theme: 'dark' }\n})\n```\n\n##### `getWorkflowVariables()`\n\n获取服务端会话变量。\n\n```typescript\nconst vars = await session.getWorkflowVariables()\nconsole.log(vars.userPreference)\n```\n\n##### `registerIframeMethods(methods)`\n\n注册可供 Iframe (Guest) 调用的方法。\n\n```typescript\nsession.registerIframeMethods({\n  // 定义一个获取用户信息的方法\n  getUserInfo: async () => {\n    return { name: 'Alice', id: 123 }\n  },\n  \n  // 定义一个打开弹窗的方法\n  openModal: (type) => {\n    setModalVisible(type)\n  }\n})\n```\n\n---\n\n## Iframe SDK (Guest Side)\n\n我们在 `packages/sdk/iframe-sdk.js` 提供了轻量级的 SDK，供嵌入的 HTML 工具使用。\n\n该 SDK 不需要构建工具，直接通过 `<script>` 标签引入即可。\n\n### 引入 SDK\n\n```html\n<script src=\"/iframe-sdk.js\"></script>\n```\n\n### 使用方法\n\nSDK 会在全局挂载 `IframeBridge` 对象。\n\n#### `IframeBridge.call(method, params?)`\n\n调用宿主 (Host) 方法。\n\n```javascript\n// 调用自定义方法\nconst userInfo = await IframeBridge.call('getUserInfo');\n\n// 调用宿主方法并传参\nawait IframeBridge.call('log', ['Hello from iframe']);\n```\n\n#### `IframeBridge.hasMethod(methodName)`\n\n检查宿主是否支持某个方法。\n\n```javascript\nconst supportsLog = await IframeBridge.hasMethod('log');\nif (supportsLog) {\n  // ...\n}\n```\n\n\n#### `IframeBridge.saveData(key, value)`\n\n持久化存储数据（存储在当前工作流会话的 variables 中）。\n\n```javascript\nawait IframeBridge.saveData('draft', { content: '...' });\n```\n\n#### `IframeBridge.loadData(key)`\n\n读取持久化数据。\n\n```javascript\nconst draft = await IframeBridge.loadData('draft');\n```\n\n#### `IframeBridge.executeWorkflow(workflowId, input)`\n\n临时/嵌套执行另一个工作流。\n\n```javascript\nconst result = await IframeBridge.executeWorkflow('target-workflow-id', {\n  parts: [\n    { type: 'image', url: 'https://...' }\n  ]\n});\nconsole.log(result); // 执行产生的所有消息\n```\n\n#### `IframeBridge.updateSessionTitle(title)`\n\n更新当前会话的标题。\n\n```javascript\nawait IframeBridge.updateSessionTitle('新的标题');\n```\n\n#### `IframeBridge.uploadFile(file, options?)`\n\n上传文件到云存储，返回 CDN URL。\n\n```javascript\n// 从 file input 上传\nconst fileInput = document.querySelector('input[type=\"file\"]');\nconst url = await IframeBridge.uploadFile(fileInput.files[0]);\nconsole.log('文件 URL:', url);\n\n// 从 canvas 上传截图\ncanvas.toBlob(async (blob) => {\n  const file = new File([blob], 'screenshot.png', { type: 'image/png' });\n  const url = await IframeBridge.uploadFile(file);\n  console.log('截图 URL:', url);\n});\n\n// 指定资源类型\nconst url = await IframeBridge.uploadFile(file, {\n  resourceType: 'conversation',  // 'conversation' | 'workflow' | 'knowledge-base'\n  bucketType: 'private'          // 'public' | 'private'，默认 private\n});\n```\n\n**说明**：\n- 图片类型会自动压缩到 1920px 以内\n- 音视频文件会自动获取时长信息\n- 返回的是可直接访问的 CDN URL\n\n---\n\n### Session Data CRUD API\n\n用于会话级数据的持久化存储，与 `saveData/loadData` 不同，这是一套完整的 CRUD 接口，支持集合（Collection）概念，适合存储结构化数据。\n\n> **与 saveData/loadData 的区别**：\n> - `saveData/loadData` 存储在工作流 state 中（适合简单 key-value）\n> - Session Data API 存储在独立数据表中（适合结构化数据、列表数据）\n\n#### `IframeBridge.createRecord(collection, data, options?)`\n\n在指定集合中创建一条记录。可以通过 `options.entityId` 字段进行二级分类归属（如老师 ID、学生 ID），后续查询时利用此字段能大幅提升检索性能。\n\n```javascript\n// options = { entityId?: string }\nconst id = await IframeBridge.createRecord('notes', {\n  title: 'My Note',\n  content: 'Hello World',\n  createdAt: Date.now()\n}, { entityId: 'user_123' }); // 可选的 entityId\nconsole.log('创建成功, ID:', id);\n```\n\n#### `IframeBridge.createRecords(collection, dataList, options?)`\n\n批量在指定集合中创建多条记录。支持传入可选的配置项如 `entityId`。\n\n```javascript\n// options = { entityId?: string }\nconst ids = await IframeBridge.createRecords('logs', [\n  { level: 'info', message: 'Task started' },\n  { level: 'success', message: 'Task finished' }\n], { entityId: 'user_123' });\nconsole.log('创建成功, IDs:', ids);\n```\n\n#### `IframeBridge.getRecord(collection, id)`\n\n获取单条记录。\n\n```javascript\nconst data = await IframeBridge.getRecord('notes', id);\nif (data) {\n  console.log('记录内容:', data.title, data.content);\n} else {\n  console.log('记录不存在');\n}\n```\n\n#### `IframeBridge.updateRecord(collection, id, data)`\n\n更新记录（完整替换）。\n\n```javascript\nawait IframeBridge.updateRecord('notes', id, {\n  title: 'Updated Title',\n  content: 'New content',\n  updatedAt: Date.now()\n});\n```\n\n#### `IframeBridge.deleteRecord(collection, id)`\n\n删除单条记录。\n\n```javascript\nawait IframeBridge.deleteRecord('notes', id);\n```\n\n#### `IframeBridge.listRecords(collection, options?)`\n\n分页查询集合中的记录。可以通过传入 `entityId` 来极速筛选归属于特定实体的数据。\n\n```javascript\n// options = { page?: number, pageSize?: number, order?: 'ASC' | 'DESC', entityId?: string }\nconst result = await IframeBridge.listRecords('notes', {\n  page: 1,\n  pageSize: 10,\n  order: 'DESC',\n  entityId: 'user_123' // 可选，利用组合索引极速过滤\n});\nconsole.log(`共 ${result.total} 条记录`);\nresult.records.forEach(r => {\n  console.log(r.id, r.data.title);\n});\n```\n\n#### `IframeBridge.clearCollection(collection)`\n\n清空集合中的所有记录。\n\n```javascript\nconst count = await IframeBridge.clearCollection('notes');\nconsole.log(`已删除 ${count} 条记录`);\n```\n\n**使用场景**：\n- 待办事项列表\n- 用户收藏/历史记录\n- 表单草稿\n- 游戏存档\n\n---\n\n## HTTP API\n\n以下 API 可直接通过 HTTP 调用，无需使用 SDK。\n\n### 中断工作流执行\n\n中断正在运行的工作流。工作流会返回 `error` 事件携带中断原因后关闭连接。\n\n**请求**\n\n```http\nPOST /workflows/:workflowId/interrupt\nContent-Type: application/json\n\n{\n  \"threadId\": \"会话ID\",\n  \"reason\": \"中断原因\"\n}\n```\n\n**响应**\n\n```json\n{\n  \"success\": true,\n  \"local\": true  // true=本地实例中断, false=通过集群广播\n}\n```\n\n**说明**：\n- 支持集群模式，会通过 Redis Pub/Sub 广播中断信号到所有实例\n- 工作流被中断后会触发 `error` 事件，`message` 为传入的 `reason`\n- 如果找不到对应的执行会话，返回 404\n\n### UploadService\n\n文件上传服务（通过 `client.upload` 访问）。\n\n##### `uploadFile(params)`\n\n上传文件。\n\n```typescript\nconst url = await client.upload.uploadFile({\n  file: file,\n  resourceType: 'conversation',  // 'conversation' | 'workflow' | 'knowledge-base'\n  bucketType: 'private',         // 'public' | 'private'，默认 private\n  onProgress: (percent) => {\n    console.log(`上传进度: ${percent * 100}%`)\n  },\n})\n```\n\n##### `uploadImage(params)`\n\n上传图片（自动压缩）。\n\n```typescript\nconst url = await client.upload.uploadImage({\n  file: imageFile,\n  resourceType: 'conversation',\n  bucketType: 'public',\n  onProgress: (percent) => console.log(`${percent * 100}%`),\n  compressOptions: {         // 可选\n    quality: 0.8,\n    maxWidth: 1920,\n  },\n})\n```\n\n---\n\n## 类型定义\n\n### SimpleMessage\n\n消息类型（与后端保持一致）。\n\n```typescript\n/** 消息内容部件 */\ntype WorkflowMessagePart =\n  | { type: 'text'; text: string }\n  | { type: 'image'; url: string }\n  | { type: 'video'; url: string }\n  | { type: 'audio'; url: string }\n  | { type: 'document'; filename: string; url: string }\n\ninterface SimpleMessage {\n  type: 'human' | 'ai' | 'system' | 'tool'\n  parts: WorkflowMessagePart[]\n  id?: string\n}\n```\n\n### SessionState\n\n会话状态类型。\n\n```typescript\ninterface SessionState {\n  threadId?: string\n  messages: SimpleMessage[]\n  isExecuting: boolean\n  currentNodeId?: string\n}\n```\n\n### SendInput\n\n发送消息输入类型。\n\n```typescript\ninterface SendInput {\n  /** 内容部件数组，按顺序传递给 LLM */\n  parts: ContentPart[]\n}\n\ntype ContentPart =\n  | { type: 'text'; text: string }\n  | {\n      type: 'image'\n      file?: File      // 图片文件（会自动压缩并上传）\n      url?: string     // 图片 URL（支持 blob URL 和普通 URL）\n    }\n  | {\n      type: 'document'\n      file?: File      // 文档文件（会自动上传）\n      url?: string     // 文档 URL（支持 blob URL 和普通 URL）\n      filename: string // 文件名\n      mimeType?: string // MIME 类型\n    }\n```\n\n---\n\n## 完整示例\n\n### React 聊天组件\n\n```tsx\nimport { useState, useEffect, useRef } from 'react'\nimport Wtfai, { type SimpleMessage, type WorkflowSession } from 'wtfai'\n\nconst client = new Wtfai({\n  baseUrl: 'https://api.example.com',\n})\n\nfunction ChatComponent({ workflowId }: { workflowId: string }) {\n  const [messages, setMessages] = useState<SimpleMessage[]>([])\n  const [isExecuting, setIsExecuting] = useState(false)\n  const [input, setInput] = useState('')\n  const sessionRef = useRef<WorkflowSession | null>(null)\n  const streamingIndexRef = useRef<number | null>(null)\n\n  useEffect(() => {\n    return () => {\n      sessionRef.current?.abort()\n    }\n  }, [])\n\n  const handleSend = async () => {\n    if (!input.trim() || isExecuting) return\n\n    const session = client.createSession(workflowId)\n    sessionRef.current = session\n\n    session.on('token', ({ content }) => {\n      setMessages((prev) => {\n        const next = [...prev]\n        if (streamingIndexRef.current === null) {\n          streamingIndexRef.current = next.length\n          next.push({\n            type: 'ai',\n            parts: [{ type: 'text', text: content }],\n          })\n          return next\n        }\n\n        const index = streamingIndexRef.current\n        const msg = next[index]\n        const firstPart = msg?.parts?.[0]\n        if (msg && firstPart?.type === 'text') {\n          const updatedParts = [...msg.parts]\n          updatedParts[0] = {\n            ...firstPart,\n            text: firstPart.text + content,\n          }\n          next[index] = { ...msg, parts: updatedParts }\n        }\n        return next\n      })\n    })\n\n    session.on('complete', () => {\n      setIsExecuting(false)\n      streamingIndexRef.current = null\n    })\n\n    session.on('error', ({ message }) => {\n      alert(`错误: ${message}`)\n      setIsExecuting(false)\n      streamingIndexRef.current = null\n    })\n\n    try {\n      setIsExecuting(true)\n      await session.send({\n        parts: [{ type: 'text', text: input }]\n      })\n      setInput('')\n    } catch (error) {\n      console.error(error)\n      setIsExecuting(false)\n      streamingIndexRef.current = null\n    }\n  }\n\n  return (\n    <div>\n      <div className=\"messages\">\n        {messages.map((msg, i) => (\n          <div key={i} className={msg.type}>\n            {msg.parts.find((part) => part.type === 'text')?.text || '...'}\n          </div>\n        ))}\n        {isExecuting && <div>思考中...</div>}\n      </div>\n      <input\n        value={input}\n        onChange={(e) => setInput(e.target.value)}\n        disabled={isExecuting}\n      />\n      <button onClick={handleSend} disabled={isExecuting}>\n        发送\n      </button>\n    </div>\n  )\n}\n```\n\n---\n\n## 注意事项\n\n1. **顺序保持**：`parts` 数组中的元素会按顺序传递给 LLM，确保大模型能理解位置指代\n2. **图片自动压缩**：通过 File 上传的图片会自动压缩到 1920px 以内，质量 0.8\n3. **会话管理**：每次调用 `send()` 都会更新 `threadId`，如需保存会话请在 `start` 事件中获取\n4. **错误处理**：建议始终监听 `error` 事件处理异常情况\n5. **资源清理**：组件卸载时调用 `session.abort()` 避免内存泄漏\n","readmeFilename":"README.md"}