# notebooklm-client
[English](#english) | [中文](#中文)
---
<a id="english"></a>
Standalone CLI & library for Google's [NotebookLM](https://notebooklm.google.com/) — generate audio podcasts, reports, slides, quizzes, videos, infographics, data tables, flashcards, analyze content, manage notebooks, and chat.
## Requirements
- **Node.js 20+**
- **Google Chrome** — only needed for first-time login
- A Google account with NotebookLM access
## Install
```bash
npm i notebooklm-client
```
Or from source:
```bash
git clone https://github.com/icebear0828/notebooklm-client.git && cd notebooklm-client
npm install
npm run build
```
## Quick Start
### 1. Login (one-time)
```bash
npx notebooklm export-session
# Opens Chrome → log in to Google → done
```
### 2. Use
```bash
# List notebooks
npx notebooklm list --transport auto
# Generate audio podcast from a URL
npx notebooklm audio --transport auto --url "https://en.wikipedia.org/wiki/TypeScript" -o ./output -l en
# Generate audio podcast from a topic (debate format, short)
npx notebooklm audio --transport auto --topic "quantum computing" -o ./output --format debate --length short
# Generate a report (briefing doc, study guide, blog post, or custom)
npx notebooklm report --transport auto --url "https://example.com/article" -o ./output --template study_guide
# Generate slides
npx notebooklm slides --transport auto --url "https://example.com/article" -o ./output --instructions "Focus on key takeaways"
# Generate a quiz
npx notebooklm quiz --transport auto --url "https://example.com/article" -o ./output --difficulty medium
# Generate flashcards
npx notebooklm flashcards --transport auto --url "https://example.com/article" -o ./output
# Generate a video overview
npx notebooklm video --transport auto --url "https://example.com/article" -o ./output --format explainer --style whiteboard
# Generate an infographic
npx notebooklm infographic --transport auto --url "https://example.com/article" -o ./output --orientation landscape --style professional
# Generate a data table
npx notebooklm data-table --transport auto --url "https://example.com/article" -o ./output --instructions "Compare by category"
# Analyze content
npx notebooklm analyze --transport auto --url "https://example.com/paper.pdf" --question "What are the key findings?"
# Chat with a notebook
npx notebooklm chat <notebook-id> --transport auto --question "Summarize this"
# Show notebook details
npx notebooklm detail <notebook-id> --transport auto
# Add a source to an existing notebook (file / URL / text)
npx notebooklm source add <notebook-id> --transport auto --file ./report.pdf
npx notebooklm source add <notebook-id> --transport auto --url https://example.com/doc.pdf
npx notebooklm source add <notebook-id> --transport auto --text "..." --title "My Note"
# Diagnose issues
npx notebooklm diagnose
```
## CLI Reference
### Shared options
```
--transport <mode> auto | browser (default: browser)
--home <dir> Config directory (default: ~/.notebooklm)
--session-path <path> Custom session file path
--headless Run browser without visible window
--chrome-path <path> Chrome executable path
--proxy <url> Proxy URL (http/socks5/socks5h, or set HTTPS_PROXY env)
```
### Commands
| Command | Description |
|---------|-------------|
| `export-session` | Login via browser and save session |
| `import-session <file\|json>` | Import session from file or JSON string |
| `list` | List all notebooks |
| `detail <id>` | Show notebook title and sources |
| `source add <id>` | Add a source (`--file` / `--url` / `--text`) to an existing notebook |
| `chat <id> --question "..."` | Chat with a notebook |
| `audio` | Generate audio podcast |
| `report` | Generate a report (briefing doc, study guide, blog post, custom) |
| `video` | Generate a video overview |
| `quiz` | Generate a quiz |
| `flashcards` | Generate flashcards |
| `infographic` | Generate an infographic |
| `slides` | Generate a slide deck |
| `data-table` | Generate a data table |
| `analyze` | Analyze content with a question |
| `diagnose` | Generate diagnostic report for troubleshooting |
| `skill install` | Install AI agent skill (Claude Code / Codex) |
### Source options (shared by all generation commands)
```
--url <url> Source URL
--text <text> Source text content
--file <path> Local file (pdf, txt, md, docx, csv, pptx, epub, mp3, wav, etc.)
--topic <topic> Research topic (web search)
--research-mode <mode> fast or deep (default: fast)
```
### `audio` options
```
-o, --output <dir> Output directory (required)
-l, --language <lang> Audio language (default: en)
--instructions <text> Custom generation instructions
--custom-prompt <prompt> Alias for --instructions
--format <fmt> deep_dive | brief | critique | debate
--length <len> short | default | long
--keep-notebook Keep notebook after completion
```
### `report` options
```
-o, --output <dir> Output directory (required)
--template <t> briefing_doc | study_guide | blog_post | custom (default: briefing_doc)
--instructions <text> Custom instructions (appended to template, or full prompt for custom)
-l, --language <lang> Output language (default: en)
```
### `video` options
```
-o, --output <dir> Output directory (required)
--format <fmt> explainer | brief | cinematic
--style <s> auto | classic | whiteboard | kawaii | anime | watercolor | retro_print
--instructions <text> Custom instructions
-l, --language <lang> Output language (default: en)
```
### `quiz` / `flashcards` options
```
-o, --output <dir> Output directory (required)
--instructions <text> Custom instructions
--quantity <q> fewer | standard
--difficulty <d> easy | medium | hard
```
### `infographic` options
```
-o, --output <dir> Output directory (required)
--instructions <text> Custom instructions
--orientation <o> landscape | portrait | square
--detail <d> concise | standard | detailed
--style <s> sketch_note | professional | bento_grid
-l, --language <lang> Output language (default: en)
```
### `slides` options
```
-o, --output <dir> Output directory (required)
--instructions <text> Custom instructions
--format <fmt> detailed | presenter
--length <len> default | short
-l, --language <lang> Output language (default: en)
```
### `data-table` options
```
-o, --output <dir> Output directory (required)
--instructions <text> Custom instructions (describe desired table structure)
-l, --language <lang> Output language (default: en)
```
## Multi-Account
Use different config directories for different Google accounts:
```bash
# Default account
npx notebooklm list --transport auto
# Work account
npx notebooklm --home ~/.notebooklm-work list --transport auto
# Or via environment variable
NOTEBOOKLM_HOME=~/.notebooklm-work npx notebooklm list --transport auto
```
## Library API
```typescript
import { NotebookClient } from 'notebooklm-client';
const client = new NotebookClient();
await client.connect({ transport: 'auto' });
// List notebooks
const notebooks = await client.listNotebooks();
// Create notebook and add sources
const { notebookId } = await client.createNotebook();
await client.addUrlSource(notebookId, 'https://example.com');
await client.addTextSource(notebookId, 'Title', 'Content...');
// Chat
const detail = await client.getNotebookDetail(notebookId);
const { text } = await client.sendChat(notebookId, 'Summarize', detail.sources.map(s => s.id));
// Generate artifacts with typed options
const sourceIds = detail.sources.map(s => s.id);
await client.generateArtifact(notebookId, sourceIds, {
type: 'audio', format: 'debate', length: 'short', instructions: 'Focus on key points',
});
await client.generateArtifact(notebookId, sourceIds, {
type: 'report', template: 'study_guide', instructions: 'Include diagrams',
});
await client.generateArtifact(notebookId, sourceIds, {
type: 'slide_deck', format: 'presenter', length: 'short',
});
await client.disconnect();
```
### Full API
```typescript
// Lifecycle
await client.connect(options)
await client.disconnect()
await client.exportSession(path?)
client.getTransportMode()
// Notebooks
await client.listNotebooks() // → NotebookInfo[]
await client.createNotebook() // → { notebookId, threadId }
await client.getNotebookDetail(notebookId) // → { title, sources }
await client.deleteNotebook(notebookId)
// Sources
await client.addUrlSource(notebookId, url) // → { sourceId, title }
await client.addTextSource(notebookId, title, text) // → { sourceId, title }
await client.addFileSource(notebookId, filePath) // → { sourceId }
await client.createWebSearch(notebookId, query, mode) // → { researchId }
await client.getSourceSummary(sourceId) // → { summary }
await client.deleteSource(sourceId)
// Chat
await client.sendChat(notebookId, message, sourceIds) // → { text, threadId }
await client.listChatThreads(notebookId) // → string[] (default thread is index 0)
await client.deleteChatThread(threadId)
// Studio (dynamic — always fetch types from server)
await client.getStudioConfig(notebookId) // → StudioConfig
await client.getAccountInfo() // → AccountInfo
// Artifacts (low-level)
await client.generateArtifact(notebookId, sourceIds, options)
await client.getArtifacts(notebookId) // → ArtifactInfo[]
await client.getInteractiveHtml(artifactId) // → string (HTML)
await client.downloadAudio(downloadUrl, outputDir) // → filePath
await client.deleteArtifact(artifactId)
// High-level workflows (create notebook → add source → generate → download)
await client.runAudioOverview(options, onProgress?) // → { audioPath, notebookUrl }
await client.runReport(options, onProgress?) // → { htmlPath, notebookUrl }
await client.runVideo(options, onProgress?) // → { videoUrl, notebookUrl }
await client.runQuiz(options, onProgress?) // → { htmlPath, notebookUrl }
await client.runFlashcards(options, onProgress?) // → { htmlPath, notebookUrl }
await client.runInfographic(options, onProgress?) // → { htmlPath, notebookUrl }
await client.runSlideDeck(options, onProgress?) // → { htmlPath, notebookUrl }
await client.runDataTable(options, onProgress?) // → { htmlPath, notebookUrl }
await client.runAnalyze(options, onProgress?) // → { answer, notebookUrl }
```
### Artifact types & options
| Type | Code | Options |
|------|------|---------|
| Audio | 1 | `format`, `length`, `instructions`, `language` |
| Report | 2 | `template`, `instructions`, `language` |
| Video | 3 | `format`, `style`, `instructions`, `language` |
| Quiz | 4 | `instructions`, `quantity`, `difficulty` |
| Flashcards | 4 | `instructions`, `quantity`, `difficulty` |
| Infographic | 7 | `orientation`, `detail`, `style`, `instructions`, `language` |
| Slide Deck | 8 | `format`, `length`, `instructions`, `language` |
| Data Table | 9 | `instructions`, `language` |
## Docker
```bash
docker build -t notebooklm .
docker run -v ~/.notebooklm:/root/.notebooklm notebooklm list --transport auto
```
## Agent Skill
Install the `/notecraft` skill for Claude Code or Codex:
```bash
npx notebooklm skill install # Install for current user
npx notebooklm skill install --scope project # Install for current project
npx notebooklm skill status # Check install status
npx notebooklm skill uninstall # Remove
```
After installing, use `/notecraft` in your agent to automate NotebookLM tasks.
## Troubleshooting
Run `npx notebooklm diagnose` and paste the output when [reporting issues](https://github.com/icebear0828/notebooklm-client/issues).
Common issues:
- **"No session available"** → Run `npx notebooklm export-session`
- **"Session expired"** → Tokens auto-refresh; if still fails, re-run `export-session`
- **Audio generation fails** → Check account limits with `getAccountInfo()`
- **Connection timeout (China)** → Use `--proxy socks5://127.0.0.1:7890` or set `HTTPS_PROXY` env var
- **Audio download returns login page** → Re-run `npx notebooklm export-session` to refresh cookies
## License
MIT
---
<a id="中文"></a>
# notebooklm-client（中文文档）
Google [NotebookLM](https://notebooklm.google.com/) 的独立 CLI 和编程库 —— 生成音频播客、报告、幻灯片、测验、视频、信息图、数据表、闪卡，分析内容、管理笔记本、对话。
## 环境要求
- **Node.js 20+**
- **Google Chrome** —— 仅首次登录需要
- 一个有 NotebookLM 访问权限的 Google 账号
## 安装
```bash
npm i notebooklm-client
```
或从源码安装：
```bash
git clone https://github.com/icebear0828/notebooklm-client.git && cd notebooklm-client
npm install
npm run build
```
## 快速开始
### 1. 登录（一次性）
```bash
npx notebooklm export-session
# 打开 Chrome → 登录 Google 账号 → 完成
```
### 2. 使用
```bash
# 列出笔记本
npx notebooklm list --transport auto
# 从 URL 生成音频播客
npx notebooklm audio --transport auto --url "https://zh.wikipedia.org/wiki/TypeScript" -o ./output -l zh
# 从话题生成音频播客（辩论格式，短篇）
npx notebooklm audio --transport auto --topic "量子计算" -o ./output --format debate --length short
# 生成报告（简报、学习指南、博客、自定义）
npx notebooklm report --transport auto --url "https://example.com/article" -o ./output --template study_guide
# 生成幻灯片
npx notebooklm slides --transport auto --url "https://example.com/article" -o ./output --instructions "突出要点"
# 生成测验
npx notebooklm quiz --transport auto --url "https://example.com/article" -o ./output --difficulty medium
# 生成闪卡
npx notebooklm flashcards --transport auto --url "https://example.com/article" -o ./output
# 生成视频概览
npx notebooklm video --transport auto --url "https://example.com/article" -o ./output --format explainer
# 生成信息图
npx notebooklm infographic --transport auto --url "https://example.com/article" -o ./output --style professional
# 生成数据表
npx notebooklm data-table --transport auto --url "https://example.com/article" -o ./output --instructions "按类别对比"
# 分析内容
npx notebooklm analyze --transport auto --url "https://example.com/paper.pdf" --question "主要发现是什么？"
# 与笔记本对话
npx notebooklm chat <notebook-id> --transport auto --question "帮我总结一下"
# 查看笔记本详情
npx notebooklm detail <notebook-id> --transport auto
# 向已有笔记本添加来源（文件 / URL / 文本）
npx notebooklm source add <notebook-id> --transport auto --file ./report.pdf
npx notebooklm source add <notebook-id> --transport auto --url https://example.com/doc.pdf
npx notebooklm source add <notebook-id> --transport auto --text "..." --title "我的笔记"
# 诊断问题
npx notebooklm diagnose
```
## CLI 参考
### 通用选项
```
--transport <mode> auto | browser（默认 browser）
--home <dir> 配置目录（默认 ~/.notebooklm）
--session-path <path> 自定义 session 文件路径
--headless 无头模式（不显示浏览器窗口）
--chrome-path <path> Chrome 可执行文件路径
--proxy <url> 代理地址（http/socks5/socks5h，或设置 HTTPS_PROXY 环境变量）
```
### 命令
| 命令 | 说明 |
|------|------|
| `export-session` | 通过浏览器登录并保存 session |
| `import-session <file\|json>` | 从文件或 JSON 字符串导入 session |
| `list` | 列出所有笔记本 |
| `detail <id>` | 显示笔记本标题和来源 |
| `source add <id>` | 向已有笔记本添加来源（`--file` / `--url` / `--text`） |
| `chat <id> --question "..."` | 与笔记本对话 |
| `audio` | 生成音频播客 |
| `report` | 生成报告（简报、学习指南、博客、自定义） |
| `video` | 生成视频概览 |
| `quiz` | 生成测验 |
| `flashcards` | 生成闪卡 |
| `infographic` | 生成信息图 |
| `slides` | 生成幻灯片 |
| `data-table` | 生成数据表 |
| `analyze` | 分析内容并回答问题 |
| `diagnose` | 生成诊断报告（用于提交 issue） |
| `skill install` | 安装 AI agent skill（Claude Code / Codex） |
### 素材选项（所有生成命令共用）
```
--url <url> 素材 URL
--text <text> 素材文本内容
--file <path> 本地文件（pdf, txt, md, docx, csv, pptx, epub, mp3, wav 等）
--topic <topic> 研究话题（网页搜索）
--research-mode <mode> fast 或 deep（默认 fast）
```
### `audio` 选项
```
-o, --output <dir> 输出目录（必填）
-l, --language <lang> 音频语言（默认 en）
--instructions <text> 自定义生成指令
--custom-prompt <prompt> --instructions 别名
--format <fmt> deep_dive | brief | critique | debate
--length <len> short | default | long
--keep-notebook 完成后保留笔记本
```
### `report` 选项
```
-o, --output <dir> 输出目录（必填）
--template <t> briefing_doc | study_guide | blog_post | custom（默认 briefing_doc）
--instructions <text> 自定义指令（追加到模板，或 custom 时为完整提示词）
-l, --language <lang> 输出语言（默认 en）
```
### `video` 选项
```
-o, --output <dir> 输出目录（必填）
--format <fmt> explainer | brief | cinematic
--style <s> auto | classic | whiteboard | kawaii | anime | watercolor | retro_print
--instructions <text> 自定义指令
-l, --language <lang> 输出语言（默认 en）
```
### `quiz` / `flashcards` 选项
```
-o, --output <dir> 输出目录（必填）
--instructions <text> 自定义指令
--quantity <q> fewer | standard
--difficulty <d> easy | medium | hard
```
### `infographic` 选项
```
-o, --output <dir> 输出目录（必填）
--instructions <text> 自定义指令
--orientation <o> landscape | portrait | square
--detail <d> concise | standard | detailed
--style <s> sketch_note | professional | bento_grid
-l, --language <lang> 输出语言（默认 en）
```
### `slides` 选项
```
-o, --output <dir> 输出目录（必填）
--instructions <text> 自定义指令
--format <fmt> detailed | presenter
--length <len> default | short
-l, --language <lang> 输出语言（默认 en）
```
### `data-table` 选项
```
-o, --output <dir> 输出目录（必填）
--instructions <text> 自定义指令（描述期望的表格结构）
-l, --language <lang> 输出语言（默认 en）
```
## 多账号
不同 Google 账号使用不同配置目录：
```bash
# 默认账号
npx notebooklm list --transport auto
# 工作账号
npx notebooklm --home ~/.notebooklm-work list --transport auto
# 或通过环境变量
NOTEBOOKLM_HOME=~/.notebooklm-work npx notebooklm list --transport auto
```
## 编程 API
```typescript
import { NotebookClient } from 'notebooklm-client';
const client = new NotebookClient();
await client.connect({ transport: 'auto' });
// 列出笔记本
const notebooks = await client.listNotebooks();
// 创建笔记本并添加来源
const { notebookId } = await client.createNotebook();
await client.addUrlSource(notebookId, 'https://example.com');
await client.addTextSource(notebookId, '标题', '内容...');
// 对话
const detail = await client.getNotebookDetail(notebookId);
const { text } = await client.sendChat(notebookId, '帮我总结', detail.sources.map(s => s.id));
// 生成产物（带类型化选项）
const sourceIds = detail.sources.map(s => s.id);
await client.generateArtifact(notebookId, sourceIds, {
type: 'audio', format: 'debate', length: 'short', instructions: '关注要点',
});
await client.generateArtifact(notebookId, sourceIds, {
type: 'report', template: 'study_guide', instructions: '包含图表',
});
await client.generateArtifact(notebookId, sourceIds, {
type: 'slide_deck', format: 'presenter', length: 'short',
});
await client.disconnect();
```
### 完整 API
```typescript
// 生命周期
await client.connect(options)
await client.disconnect()
await client.exportSession(path?)
client.getTransportMode()
// 笔记本
await client.listNotebooks() // → NotebookInfo[]
await client.createNotebook() // → { notebookId, threadId }
await client.getNotebookDetail(notebookId) // → { title, sources }
await client.deleteNotebook(notebookId)
// 来源
await client.addUrlSource(notebookId, url) // → { sourceId, title }
await client.addTextSource(notebookId, title, text) // → { sourceId, title }
await client.addFileSource(notebookId, filePath) // → { sourceId }
await client.createWebSearch(notebookId, query, mode) // → { researchId }
await client.getSourceSummary(sourceId) // → { summary }
await client.deleteSource(sourceId)
// 对话
await client.sendChat(notebookId, message, sourceIds) // → { text, threadId }
await client.listChatThreads(notebookId) // → string[]（首条是默认 thread）
await client.deleteChatThread(threadId)
// Studio（动态 —— 始终从服务端获取类型）
await client.getStudioConfig(notebookId) // → StudioConfig
await client.getAccountInfo() // → AccountInfo
// 产物（底层）
await client.generateArtifact(notebookId, sourceIds, options)
await client.getArtifacts(notebookId) // → ArtifactInfo[]
await client.getInteractiveHtml(artifactId) // → string (HTML)
await client.downloadAudio(downloadUrl, outputDir) // → filePath
await client.deleteArtifact(artifactId)
// 高级工作流（创建笔记本 → 添加来源 → 生成 → 下载）
await client.runAudioOverview(options, onProgress?) // → { audioPath, notebookUrl }
await client.runReport(options, onProgress?) // → { htmlPath, notebookUrl }
await client.runVideo(options, onProgress?) // → { videoUrl, notebookUrl }
await client.runQuiz(options, onProgress?) // → { htmlPath, notebookUrl }
await client.runFlashcards(options, onProgress?) // → { htmlPath, notebookUrl }
await client.runInfographic(options, onProgress?) // → { htmlPath, notebookUrl }
await client.runSlideDeck(options, onProgress?) // → { htmlPath, notebookUrl }
await client.runDataTable(options, onProgress?) // → { htmlPath, notebookUrl }
await client.runAnalyze(options, onProgress?) // → { answer, notebookUrl }
```
### 产物类型和选项
| 类型 | 代码 | 选项 |
|------|------|------|
| 音频 | 1 | `format`, `length`, `instructions`, `language` |
| 报告 | 2 | `template`, `instructions`, `language` |
| 视频 | 3 | `format`, `style`, `instructions`, `language` |
| 测验 | 4 | `instructions`, `quantity`, `difficulty` |
| 闪卡 | 4 | `instructions`, `quantity`, `difficulty` |
| 信息图 | 7 | `orientation`, `detail`, `style`, `instructions`, `language` |
| 幻灯片 | 8 | `format`, `length`, `instructions`, `language` |
| 数据表 | 9 | `instructions`, `language` |
## Docker
```bash
docker build -t notebooklm .
docker run -v ~/.notebooklm:/root/.notebooklm notebooklm list --transport auto
```
## Agent Skill
安装 `/notecraft` skill 到 Claude Code 或 Codex：
```bash
npx notebooklm skill install # 安装到当前用户
npx notebooklm skill install --scope project # 安装到当前项目
npx notebooklm skill status # 查看安装状态
npx notebooklm skill uninstall # 卸载
```
安装后在 agent 中使用 `/notecraft` 即可自动化 NotebookLM 操作。
## 故障排除
运行 `npx notebooklm diagnose`，将输出贴到 [issue](https://github.com/icebear0828/notebooklm-client/issues) 中。
常见问题：
- **"No session available"** → 运行 `npx notebooklm export-session`
- **"Session expired"** → Token 会自动刷新；如果仍然失败，重新运行 `export-session`
- **音频生成失败** → 通过 `getAccountInfo()` 检查账号限额
- **连接超时（中国用户）** → 使用 `--proxy socks5://127.0.0.1:7890` 或设置 `HTTPS_PROXY` 环境变量
- **下载音频拿到登录页** → 重新运行 `npx notebooklm export-session` 刷新 cookies
## 许可证
MIT
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## Changelog / 更新日志
### v0.3.0 (2026-03-27)
- All artifact types: report, video, quiz, flashcards, infographic, slides, data table
- Custom instructions/prompts for every artifact type
- Audio format (deep_dive/brief/critique/debate) and length (short/default/long) options
- 7 new CLI commands: `report`, `video`, `quiz`, `flashcards`, `infographic`, `slides`, `data-table`
- Per-type payload builders with correct RPC structures
- Backward compatible `generateArtifact()` API
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- 全部产物类型：报告、视频、测验、闪卡、信息图、幻灯片、数据表
- 所有产物类型支持自定义指令/提示词
- 音频格式（deep_dive/brief/critique/debate）和时长（short/default/long）选项
- 7 个新 CLI 命令：`report`、`video`、`quiz`、`flashcards`、`infographic`、`slides`、`data-table`
- 按类型独立构建正确的 RPC payload
- `generateArtifact()` API 向后兼容
### v0.2.0 (2026-03-16)
- `--transport auto` mode with automatic best-engine selection
- Auto-installed optimized HTTP engine on `npm install`
- Dynamic studio config: `getStudioConfig()` fetches available types from server
- Account API: `getAccountInfo()` returns plan type, notebook/source limits
- Multi-account support: `--home` flag and `NOTEBOOKLM_HOME` env var
- `diagnose` command for troubleshooting
- Docker support (amd64/arm64)
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- `--transport auto` 模式，自动选择最佳引擎
- `npm install` 时自动安装优化 HTTP 引擎
- 动态 Studio 配置：`getStudioConfig()` 从服务端获取可用类型
- 账号 API：`getAccountInfo()` 返回计划类型、笔记本/来源限额
- 多账号支持：`--home` 参数和 `NOTEBOOKLM_HOME` 环境变量
- `diagnose` 诊断命令
- Docker 支持（amd64/arm64）
### v0.1.0 (2026-03-16)
- Full NotebookLM API: notebooks, sources, chat, audio generation
- Browser and headless modes
- Session persistence with auto token refresh
- CLI with all core commands
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- 完整 NotebookLM API：笔记本、来源、对话、音频生成
- 浏览器和无头模式
- Session 持久化 + token 自动刷新
- CLI 包含所有核心命令