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✨ feat(open-notebook): add version 1.1.1 application configuration 

- add comprehensive data.yml with multi-language form fields for frontend/backend ports, password, and AI provider API keys
- implement docker-compose.yml with environment variables for 16+ AI providers including OpenAI, Anthropic, Google, Azure, and local models
- add init.sh script for environment variable management and docker env file generation
- include README documentation in both Chinese and English with system requirements and feature comparison
- provide application metadata with multi-language descriptions and architecture support
- add logo.png for application branding
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pooneyy 2025-11-02 00:27:31 +08:00
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additionalProperties:
formFields:
- default: "8502"
envKey: REACT_FRONTEND_PORT
labelZh: 前端端口
labelEn: Frontend Port
label:
zh: 前端端口
zh-Hant: 前端通訊埠
en: Frontend Port
ja: フロントエンドポート
ko: 프론트엔드 포트
ms: Port Frontend
pt-br: Porta do Frontend
ru: Фронтенд-порт
tr: Ön Uç Bağlantı Noktası
description:
zh: "设置应用的 HTTP 访问端口，有效范围: 1-65535"
zh-Hant: "設定應用程式的 HTTP 存取連接埠，有效範圍: 1-65535"
en: "Set the HTTP access port for the application, valid range: 1-65535"
ja: "アプリケーションのHTTPアクセスポートを設定します。有効範囲: 1-65535"
ko: "애플리케이션의 HTTP 접근 포트를 설정합니다. 유효 범위: 1-65535"
ms: "Tetapkan port akses HTTP untuk aplikasi, julat sah: 1-65535"
pt-br: "Defina a porta de acesso HTTP para o aplicativo, intervalo válido: 1-65535"
ru: "Установите порт доступа HTTP для приложения, допустимый диапазон: 1-65535"
tr: "Uygulama için HTTP erişim portunu ayarlayın, geçerli aralık: 1-65535"
required: true
type: number
edit: true
rule: paramPort
- default: "5055"
envKey: REST_API_BACKEND_PORT
labelZh: 后端端口
labelEn: Backend Port
label:
en: Backend Port
zh-Hant: 後端通訊埠
zh: 后端端口
ja: バックエンドポート
ms: Port Backend
pt-br: Porta do Backend
ru: Бэкенд-порт
ko: 백엔드 포트
tr: Arka Uç Bağlantı Noktası
description:
zh: "设置应用的 HTTP 访问端口，有效范围: 1-65535"
zh-Hant: "設定應用程式的 HTTP 存取連接埠，有效範圍: 1-65535"
en: "Set the HTTP access port for the application, valid range: 1-65535"
ja: "アプリケーションのHTTPアクセスポートを設定します。有効範囲: 1-65535"
ko: "애플리케이션의 HTTP 접근 포트를 설정합니다. 유효 범위: 1-65535"
ms: "Tetapkan port akses HTTP untuk aplikasi, julat sah: 1-65535"
pt-br: "Defina a porta de acesso HTTP para o aplicativo, intervalo válido: 1-65535"
ru: "Установите порт доступа HTTP для приложения, допустимый диапазон: 1-65535"
tr: "Uygulama için HTTP erişim portunu ayarlayın, geçerli aralık: 1-65535"
required: true
type: number
edit: true
rule: paramPort
- default: "pass"
envKey: OPEN_NOTEBOOK_PASSWORD
labelZh: 访问密码
labelEn: Access Password
label:
zh: 访问密码
en: Access Password
zh-Hant: 访问密碼
ja: アクセスパスワード
ms: Kata Laluan Akses
pt-br: Senha de Acesso
ru: Пароль доступа
ko: 액세스 비밀번호
tr: Erişim Parolası
required: false
type: password
edit: true
rule: paramComplexity
random: true
- default: ""
envKey: OPENAI_API_KEY
labelZh: Openai API 密钥
labelEn: Openai API Key
label:
zh: Openai API 密钥
zh-Hant: OpenAI API 金鑰
en: Openai API Key
ja: OpenAI API キー
ms: Kunci API OpenAI
pt-br: Chave da API OpenAI
ru: Ключ API OpenAI
ko: OpenAI API 키
tr: OpenAI API Anahtarı
description:
en: "Provides: Language models, embeddings, TTS, STT"
zh-Hant: 提供：語言模型、嵌入、文字轉語音、語音轉文字
zh: 提供：语言模型，嵌入，文字转语音，语音转文字
ja: 提供：言語モデル、埋め込み、音声合成、音声認識
ms: "Menyediakan: Model bahasa, penyematan, TTS, STT"
pt-br: "Fornece: Modelos de linguagem, embeddings, TTS, STT"
ru: "Предоставляет: Языковые модели, эмбеддинги, преобразование текста в речь, распознавание речи"
ko: "제공: 언어 모델, 임베딩, TTS, STT"
tr: "Sağlar: Dil modelleri, yerleştirmeler, metin okuma, konuşma tanıma"
required: false
type: text
edit: true
- default: ""
envKey: ANTHROPIC_API_KEY
labelZh: Anthropic API 密钥
labelEn: Anthropic API Key
label:
en: Anthropic API Key
zh-Hant: Anthropic API 金鑰
ja: Anthropic API キー
ms: Kunci API Anthropic
zh: Anthropic API 密钥
pt-br: Chave da API Anthropic
ru: Ключ API Anthropic
ko: Anthropic API 키
tr: Anthropic API Anahtarı
description:
en: "Claude models, Provides: High-quality language models"
zh: Claude 模型, 提供：高质量的语言模型
zh-Hant: Claude 模型, 提供：高質量語言模型
ja: Claude モデル, 提供：高品質言語モデル
ms: "Model Claude, Menyediakan: Model bahasa berkualiti tinggi"
pt-br: "Modelos Claude, Fornece: Modelos de linguagem de alta qualidade"
ru: "Модели Claude, Предоставляет: Высококачественные языковые модели"
ko: "Claude 모델, 제공: 고품질 언어 모델"
tr: "Claude Modelleri, Sağlar: Yüksek kaliteli dil modelleri"
required: false
type: text
edit: true
- default: ""
envKey: GEMINI_API_KEY
labelZh: Gemini API 密钥
labelEn: Gemini API Key
label:
zh: Gemini API 密钥
zh-Hant: Gemini API 金鑰
en: Gemini API Key
ja: Gemini API キー
ms: Kunci API Gemini
pt-br: Chave da API Gemini
ru: Ключ API Gemini
ko: Gemini API 키
tr: Gemini API Anahtarı
description:
zh: Google Gemini，提供：大型上下文模型，嵌入，文字转语音
zh-Hant: Google Gemini，提供：大上下文模型、嵌入、文字轉語音
en: "Google Gemini, Provides: Large context models, embeddings, TTS"
ja: Google Gemini，提供：大規模コンテキストモデル、埋め込み、音声合成
ko: "Google Gemini, 제공: 대규모 컨텍스트 모델, 임베딩, TTS"
ms: "Google Gemini, Menyediakan: Model konteks besar, penyematan, TTS"
pt-br: "Google Gemini, Fornece: Modelos de contexto grande, embeddings, TTS"
ru: "Google Gemini, Предоставляет: Модели с большим контекстом, эмбеддинги, преобразование текста в речь"
tr: "Google Gemini, Sağlar: Büyük bağlam modelleri, yerleştirmeler, metin okuma"
required: false
type: text
edit: true
- default: ""
envKey: VERTEX_PROJECT
labelZh: Vertex 项目名称
labelEn: Vertex Project Name
label:
zh: Vertex 项目名称
zh-Hant: Vertex 專案名稱
en: Vertex Project Name
ja: Vertex プロジェクト名
ms: Nama Projek Vertex
pt-br: Nome do Projeto Vertex
ru: Название проекта Vertex
ko: Vertex 프로젝트 이름
tr: Vertex Proje Adı
description:
zh: Vertex AI（谷歌云）- 提供：企业级AI模型
zh-Hant: Vertex AI（谷歌雲）- 提供：企業級AI模型
en: "Vertex AI (Google Cloud), Provides: Enterprise-grade AI models"
ja: Vertex AI（Google Cloud）- 提供：エンタープライズグレードのAIモデル
ko: "Vertex AI(Google Cloud) - 제공: 엔터프라이즈급 AI 모델"
ms: "Vertex AI (Google Cloud) - Menyediakan: Model AI peringkat perusahaan"
pt-br: "Vertex AI (Google Cloud) - Fornece: Modelos de AI de nível empresarial"
ru: "Vertex AI (Google Cloud) - Предоставляет: Корпоративные AI-модели"
tr: "Vertex AI (Google Cloud) - Sağlar: Kurumsal seviye AI modelleri"
required: false
type: text
edit: true
- default: "./google-credentials.json"
envKey: GOOGLE_APPLICATION_CREDENTIALS
labelZh: 谷歌应用凭据
labelEn: Google Application Credentials
label:
zh: 谷歌应用凭据
zh-Hant: 谷歌應用憑據
en: Google Application Credentials
ja: Google アプリケーション認証情報
ko: Google 애플리케이션 자격 증명
ms: Kelayakan Aplikasi Google
pt-br: Credenciais de Aplicação Google
ru: Учетные данные приложения Google
tr: Google Uygulama Kimlik Bilgileri
description:
zh: 如果你计划配置 Vertex AI，此项值不应被修改；如果你不使用 Vertex AI，请删除它
zh-Hant: 如果你計劃配置 Vertex AI，此項值不應被修改；如果你不使用 Vertex AI，請刪除它
en: If you plan to configure Vertex AI, this value should not be modified; if you do not use Vertex AI, please delete it
ja: Vertex AI を設定する場合は、この値を変更しないでください。使用しない場合は削除してください
ko: Vertex AI를 구성할 계획이라면 이 값은 수정하지 않아야 합니다. 사용하지 않는다면 삭제하세요
ms: Jika anda merancang untuk mengkonfigurasi Vertex AI, nilai ini tidak sepatutnya diubah; jika anda tidak menggunakan Vertex AI, sila hapuskannya
pt-br: Se você planeja configurar o Vertex AI, este valor não deve ser modificado; se você não usa o Vertex AI, por favor exclua-o
ru: Если вы планируете настраивать Vertex AI, это значение не следует изменять; если вы не используете Vertex AI, удалите его
tr: Vertex AI'yı yapılandırmayı planlıyorsanız, bu değer değiştirilmemelidir; Vertex AI kullanmıyorsanız lütfen silin
required: false
type: text
edit: true
- default: ""
envKey: VERTEX_LOCATION
labelZh: Vertex 位置
labelEn: Vertex Location
label:
zh: Vertex 位置
zh-Hant: Vertex 位置
en: Vertex Location
ja: Vertex ロケーション
ko: Vertex 위치
ms: Lokasi Vertex
pt-br: Localização do Vertex
ru: Расположение Vertex
tr: Vertex Konumu
description:
zh: 例如：us-east5
zh-Hant: 例如：us-east5
en: "Example: us-east5"
ja: 例：us-east5
ko: "예: us-east5"
ms: "Contoh: us-east5"
pt-br: "Exemplo: us-east5"
ru: "Пример: us-east5"
tr: "Örnek: us-east5"
required: false
type: text
edit: true
- default: ""
envKey: DEEPSEEK_API_KEY
labelZh: Deepseek API 密钥
labelEn: Deepseek API Key
label:
en: Deepseek API Key
zh-Hant: Deepseek API 金鑰
zh: Deepseek API 密钥
ja: Deepseek API キー
ms: Kunci API Deepseek
pt-br: Chave da API Deepseek
ru: Ключ API Deepseek
tr: Deepseek API Anahtarı
ko: Deepseek API 키
description:
zh-Hant: DeepSeek - 高性價比模型
zh: DeepSeek - 性价比模型
en: DeepSeek - Cost-effective models
ja: DeepSeek - コストパフォーマンスに優れたモデル
ms: DeepSeek - Model berkos efektif
pt-br: DeepSeek - Modelos Custo-eficazes
ru: DeepSeek - Рентабельные модели
ko: DeepSeek - 비용 효율적인 모델
tr: DeepSeek - Düşük maliyetli modeller
required: false
type: text
edit: true
- default: ""
envKey: MISTRAL_API_KEY
labelZh: Mistral API 密钥
labelEn: Mistral API Key
label:
en: Mistral API Key
zh-Hant: Mistral API 金鑰
zh: Mistral API 密钥
ja: Mistral API キー
ko: Mistral API 키
ms: Kunci API Mistral
pt-br: Chave da API Mistral
ru: Ключ API Mistral
tr: Mistral API Anahtarı
description:
en: Mistral - European AI provider
zh-Hant: Mistral - 歐洲AI提供商
zh: Mistral - 欧洲AI提供商
ja: Mistral -欧州のAIプロバイダー
ms: Mistral -Pembekal AI Eropah
pt-br: Mistral -Provedor de IA Europeu
ru: Mistral -Европейский поставщик ИИ
ko: Mistral -유럽 AI 공급자
tr: Mistral -Avrupa AI Sağlayıcısı
required: false
type: text
edit: true
- default: ""
envKey: GROQ_API_KEY
labelZh: Groq API 密钥
labelEn: Groq API Key
label:
zh-Hant: Groq API 金鑰
en: Groq API Key
zh: Groq API 密钥
ja: Groq API キー
ms: Kunci API Groq
pt-br: Chave da API Groq
ru: Ключ API Groq
ko: Groq API 키
tr: Groq API Anahtarı
description:
en: Groq - Fast inference
zh: Groq - 快速推理
zh-Hant: Groq - 快速推理
ja: Groq - 高速推論
ms: Groq - Inferens Pantas
pt-br: Groq - Inferência Rápida
ru: Groq - Быстрый вывод
ko: Groq - 고속 추론
tr: Groq - Hızlı Çıkarım
required: false
type: text
edit: true
- default: ""
envKey: XAI_API_KEY
labelZh: xAI API 密钥
labelEn: xAI API Key
label:
zh: xAI API 密钥
en: xAI API Key
zh-Hant: xAI API 金鑰
ja: xAI API キー
ms: Kunci API xAI
pt-br: Chave da API xAI
ru: Ключ API xAI
ko: xAI API 키
tr: xAI API Anahtarı
description:
en: xAI (Grok) - Cutting-edge models
zh: xAI (Grok) - 前沿模型
zh-Hant: xAI (Grok) - 尖端模型
ja: xAI (Grok) - 最先端モデル
ko: xAI (Grok) - 최첨단 모델
ms: xAI (Grok) - Model terkini
pt-br: xAI (Grok) - Modelos de ponta
ru: xAI (Grok) - Передовые модели
tr: xAI (Grok) - Çığır açan modeller
required: false
type: text
edit: true
- default: ""
envKey: ELEVENLABS_API_KEY
labelZh: ElevenLabs API 密钥
labelEn: ElevenLabs API Key
label:
en: ElevenLabs API Key
zh: ElevenLabs API 密钥
zh-Hant: ElevenLabs API 金鑰
ja: ElevenLabs API キー
ko: ElevenLabs API 키
ms: Kunci API ElevenLabs
pt-br: Chave da API ElevenLabs
ru: Ключ API ElevenLabs
tr: ElevenLabs API Anahtarı
description:
en: ElevenLabs - High-quality voice synthesis
zh: ElevenLabs - 高质量语音合成
zh-Hant: ElevenLabs - 高質量語音合成
ja: ElevenLabs - 高品質音声合成
ko: ElevenLabs - 고품질 음성 합성
ms: ElevenLabs - Sintesis suara berkualiti tinggi
pt-br: ElevenLabs - Síntese de voz de alta qualidade
ru: ElevenLabs - Высококачественный синтез речи
tr: ElevenLabs - Yüksek kaliteli ses sentezi
required: false
type: text
edit: true
- default: ""
envKey: OLLAMA_API_BASE
labelZh: Ollama API 基础 URL
labelEn: Ollama API Base URL
label:
en: Ollama API Base URL
zh: Ollama API 基础 URL
zh-Hant: Ollama API 基礎 URL
ja: Ollama API ベース URL
ko: Ollama API 베이스 URL
ms: URL Asas API Ollama
pt-br: URL Base da API Ollama
ru: Базовый URL API Ollama
tr: Ollama API Temel URL
description:
en: Ollama - Local AI models
zh: Ollama - 本地 AI 模型
zh-Hant: Ollama - 本地 AI 模型
ja: Ollama - ローカルAIモデル
ko: Ollama - 로컬 AI 모델
ms: Ollama - Model AI tempatan
pt-br: Ollama - Modelos de AI locais
ru: Ollama - Локальные AI-модели
tr: Ollama - Yerel AI modelleri
required: false
type: text
edit: true
- default: https://openrouter.ai/api/v1
envKey: OPENROUTER_BASE_URL
labelZh: Openrouter 基础 URL
labelEn: Openrouter Base URL
label:
en: Openrouter Base URL
zh: Openrouter 基础 URL
zh-Hant: Openrouter 基礎 URL
ja: Openrouter ベース URL
ko: Openrouter 베이스 URL
ms: URL Asas Openrouter
pt-br: URL Base do Openrouter
ru: Базовый URL Openrouter
tr: Openrouter Temel URL
description:
zh: OpenRouter - 访问多个模型
en: OpenRouter - Access to multiple models
zh-Hant: OpenRouter - 訪問多個模型
ja: OpenRouter - 複数モデルへのアクセス
ko: OpenRouter - 다중 모델 액세스
ms: OpenRouter - Akses kepada pelbagai model
pt-br: OpenRouter - Acesso a múltiplos modelos
ru: OpenRouter - Доступ к множеству моделей
tr: OpenRouter - Çoklu modellere erişim
required: false
type: text
edit: true
rule: paramExtUrl
- default: ""
envKey: OPENROUTER_API_KEY
labelZh: Openrouter API 密钥
labelEn: Openrouter API Key
label:
en: Openrouter API Key
zh: Openrouter API 密钥
zh-Hant: Openrouter API 金鑰
ja: Openrouter API キー
ko: Openrouter API 키
ms: Kunci API Openrouter
pt-br: Chave da API Openrouter
ru: Ключ API Openrouter
tr: Openrouter API Anahtarı
required: false
type: text
edit: true
- default: ""
envKey: AZURE_OPENAI_API_KEY
labelZh: Azure Openai API 密钥
labelEn: Azure Openai API Key
label:
en: Azure Openai API Key
zh: Azure Openai API 密钥
zh-Hant: Azure Openai API 金鑰
ja: Azure OpenAI API キー
ko: Azure OpenAI API 키
ms: Kunci API Azure OpenAI
pt-br: Chave da API Azure OpenAI
ru: Ключ API Azure OpenAI
tr: Azure OpenAI API Anahtarı
description:
zh: Azure OpenAI
zh-Hant: Azure OpenAI
en: Azure OpenAI
ja: Azure OpenAI
ko: Azure OpenAI
ms: Azure OpenAI
pt-br: Azure OpenAI
ru: Azure OpenAI
tr: Azure OpenAI
required: false
type: text
edit: true
- default: https://your-endpoint.openai.azure.com/
envKey: AZURE_OPENAI_ENDPOINT
labelZh: Azure OpenAI 端点
labelEn: Azure OpenAI Endpoint
label:
zh: Azure OpenAI 端点
zh-Hant: Azure OpenAI 端點
en: Azure OpenAI Endpoint
ja: Azure OpenAI エンドポイント
ko: Azure OpenAI 엔드포인트
ms: Titik Akhir Azure OpenAI
pt-br: Ponto de Extremidade Azure OpenAI
ru: Конечная точка Azure OpenAI
tr: Azure OpenAI Uç Noktası
required: false
type: text
edit: true
rule: paramExtUrl
- default: 2024-12-01-preview
envKey: AZURE_OPENAI_API_VERSION
labelZh: Azure OpenAI API 版本
labelEn: Azure OpenAI API Version
label:
zh: Azure OpenAI API 版本
zh-Hant: Azure OpenAI API 版本
en: Azure OpenAI API Version
ja: Azure OpenAI API バージョン
ko: Azure OpenAI API 버전
ms: Versi API Azure OpenAI
pt-br: Versão da API Azure OpenAI
ru: Версия API Azure OpenAI
tr: Azure OpenAI API Sürümü
required: false
type: text
edit: true
- default: ""
envKey: AZURE_OPENAI_DEPLOYMENT_NAME
labelZh: Azure OpenAI 部署名称
labelEn: Azure OpenAI Deployment Name
label:
en: Azure OpenAI Deployment Name
zh: Azure OpenAI 部署名称
zh-Hant: Azure OpenAI 部署名稱
ja: Azure OpenAI デプロイ名
ko: Azure OpenAI 배포 이름
ms: Nama Penempatan Azure OpenAI
pt-br: Nome da Implantação do Azure OpenAI
ru: Имя развертывания Azure OpenAI
tr: Azure OpenAI Dağıtım Adı
required: false
type: text
edit: true
- default: ""
envKey: OPENAI_COMPATIBLE_BASE_URL
labelZh: OpenAI 兼容基础 URL
labelEn: OpenAI Compatible Base Url
label:
zh: OpenAI 兼容基础 URL
zh-Hant: OpenAI 相容基礎 URL
en: OpenAI Compatible Base Url
ja: OpenAI 互換ベース URL
ko: OpenAI 호환 베이스 URL
ms: Url Asas Serasi OpenAI
pt-br: Url Base Compatível com OpenAI
ru: Совместимый базовый URL OpenAI
tr: OpenAI Uyumlu Temel Url
description:
zh: OpenAI 兼容 (LM Studio 等) http://localhost:1234/v1
zh-Hant: OpenAI 相容 (LM Studio 等) http://localhost:1234/v1
en: OpenAI Compatible (LM Studio, etc.) http://localhost:1234/v1
ja: OpenAI 互換 (LM Studio など) http://localhost:1234/v1
ko: OpenAI 호환 (LM Studio 등) http://localhost:1234/v1
ms: Serasi OpenAI (LM Studio, dll.) http://localhost:1234/v1
pt-br: Compatível com OpenAI (LM Studio, etc.) http://localhost:1234/v1
ru: Совместимый с OpenAI (LM Studio и т.д.) http://localhost:1234/v1
tr: OpenAI Uyumlu (LM Studio vb.) http://localhost:1234/v1
required: false
type: text
edit: true
- default: ""
envKey: OPENAI_COMPATIBLE_API_KEY
labelZh: OpenAI 兼容 API 密钥
labelEn: OpenAI Compatible API Key
label:
zh: OpenAI 兼容 API 密钥
zh-Hant: OpenAI 相容 API 金鑰
en: OpenAI Compatible API Key
ja: OpenAI 互換 API キー
ko: OpenAI 호환 API 키
ms: Kunci API Serasi OpenAI
pt-br: Chave de API Compatível com OpenAI
ru: Совместимый с OpenAI ключ API
tr: OpenAI Uyumlu API Anahtarı
required: false
type: text
edit: true
- default: ""
envKey: FIRECRAWL_API_KEY
labelZh: Firecrawl API 密钥
labelEn: Firecrawl API Key
label:
zh: Firecrawl API 密钥
zh-Hant: Firecrawl API 金鑰
en: Firecrawl API Key
ja: Firecrawl API キー
ko: Firecrawl API 키
ms: Kunci API Firecrawl
pt-br: Chave da API Firecrawl
ru: Ключ API Firecrawl
tr: Firecrawl API Anahtarı
description:
en: Firecrawl - Enhanced web scraping
zh: Firecrawl - 增强型网络爬取
zh-Hant: Firecrawl - 增強型網路爬取
ja: Firecrawl - 強化版ウェブスクレイピング
ko: Firecrawl - 향상된 웹 스크래핑
ms: Firecrawl - Pengerakan web dipertingkatkan
pt-br: Firecrawl - Raspagem web aprimorada
ru: Firecrawl - Улучшенное веб-скрейпинг
tr: Firecrawl - Gelişmiş web kazıma
required: false
type: text
edit: true
- default: ""
envKey: JINA_API_KEY
labelZh: Jina API 密钥
labelEn: Jina API Key
label:
zh: Jina API 密钥
zh-Hant: Jina API 金鑰
en: Jina API Key
ja: Jina API キー
ko: Jina API 키
ms: Kunci API Jina
pt-br: Chave da API Jina
ru: Ключ API Jina
tr: Jina API Anahtarı
description:
en: Jina - Advanced embeddings
zh: Jina - 高级嵌入
zh-Hant: Jina - 高級嵌入
ja: Jina - 高度な埋め込み
ko: Jina - 고급 임베딩
ms: Jina - Penyemetan lanjutan
pt-br: Jina - Incorporações avançadas
ru: Jina - Продвинутые эмбеддинги
tr: Jina - Gelişmiş yerleştirmeler
required: false
type: text
edit: true
- default: ""
envKey: VOYAGE_API_KEY
labelZh: Voyage API 密钥
labelEn: Voyage API Key
label:
zh: Voyage API 密钥
zh-Hant: Voyage API 金鑰
en: Voyage API Key
ja: Voyage API キー
ko: Voyage API 키
ms: Kunci API Voyage
pt-br: Chave da API Voyage
ru: Ключ API Voyage
tr: Voyage API Anahtarı
description:
en: Voyage AI - Specialized embeddings
zh: Voyage AI - 专用嵌入
zh-Hant: Voyage AI - 專用嵌入
ja: Voyage AI - 専門的な埋め込み
ko: Voyage AI - 전문 임베딩
ms: Voyage AI - Penyemetan khusus
pt-br: Voyage AI - Incorporações especializadas
ru: Voyage AI - Специализированные эмбеддинги
tr: Voyage AI - Özelleştirilmiş yerleştirmeler
required: false
type: text
edit: true
- default: "false"
envKey: LANGCHAIN_TRACING_V2
labelZh: Langchain Tracing V2
labelEn: Langchain Tracing V2
label:
zh: Langchain Tracing V2
zh-Hant: Langchain Tracing V2
en: Langchain Tracing V2
ja: Langchain トレーシング V2
ko: Langchain 트레이싱 V2
ms: Penjejakan Langchain V2
pt-br: Rastreamento Langchain V2
ru: Трассировка Langchain V2
tr: Langchain İzleme V2
description:
en: LangSmith - Debugging and monitoring
zh: LangSmith - 调试与监控
zh-Hant: LangSmith - 調試與監控
ja: LangSmith - デバッグとモニタリング
ko: LangSmith - 디버깅 및 모니터링
ms: LangSmith - Penyahpepijat dan pemantauan
pt-br: LangSmith - Depuração e monitoramento
ru: LangSmith - Отладка и мониторинг
tr: LangSmith - Hata ayıklama ve izleme
required: false
type: select
edit: true
values:
- label: Enable / 启用
value: "true"
- label: Disable / 禁用
value: "false"
- default: https://api.smith.langchain.com
envKey: LANGCHAIN_ENDPOINT
labelZh: Langchain 端点
labelEn: Langchain Endpoint
label:
zh-Hant: Langchain 端點
zh: Langchain 端点
en: Langchain Endpoint
ja: Langchain エンドポイント
ko: Langchain 엔드포인트
ms: Titik Akhir Langchain
pt-br: Ponto de Extremidade Langchain
ru: Конечная точка Langchain
tr: Langchain Uç Noktası
required: false
type: text
edit: true
- default: ""
envKey: LANGCHAIN_API_KEY
labelZh: Langchain API 密钥
labelEn: Langchain API Key
label:
zh: Langchain API 密钥
zh-Hant: Langchain API 金鑰
en: Langchain API Key
ja: Langchain API キー
ko: Langchain API 키
ms: Kunci API Langchain
pt-br: Chave da API Langchain
ru: Ключ API Langchain
tr: Langchain API Anahtarı
required: false
type: text
edit: true
- default: ""
envKey: LANGCHAIN_PROJECT
labelZh: Langchain 项目名
labelEn: Langchain Project Name
label:
zh: Langchain 项目名
zh-Hant: Langchain 專案名
en: Langchain Project Name
ja: Langchain プロジェクト名
ko: Langchain 프로젝트 이름
ms: Nama Projek Langchain
pt-br: Nome do Projeto Langchain
ru: Название проекта Langchain
tr: Langchain Proje Adı
required: false
type: text
edit: true

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services:
open_notebook:
image: lfnovo/open_notebook:1.1.1-single
container_name: ${CONTAINER_NAME}
restart: always
networks:
- 1panel-network
ports:
- ${REACT_FRONTEND_PORT}:8502
- ${REST_API_BACKEND_PORT}:5055
# env_file:
# - ./.docker.env
environment:
- OPEN_NOTEBOOK_PASSWORD=${OPEN_NOTEBOOK_PASSWORD}
- SURREAL_URL=ws://localhost:8000/rpc
- SURREAL_USER=root
- SURREAL_PASSWORD=root
- SURREAL_NAMESPACE=open_notebook
- SURREAL_DATABASE=production
- OPENAI_API_KEY=${OPENAI_API_KEY}
- ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
- GEMINI_API_KEY=${GEMINI_API_KEY}
- DEEPSEEK_API_KEY=${DEEPSEEK_API_KEY}
- MISTRAL_API_KEY=${MISTRAL_API_KEY}
- GROQ_API_KEY=${GROQ_API_KEY}
- XAI_API_KEY=${XAI_API_KEY}
- ELEVENLABS_API_KEY=${ELEVENLABS_API_KEY}
- OLLAMA_API_BASE=${OLLAMA_API_BASE}
- OPENROUTER_BASE_URL=${OPENROUTER_BASE_URL}
- OPENROUTER_API_KEY=${OPENROUTER_API_KEY}
- AZURE_OPENAI_API_KEY=${AZURE_OPENAI_API_KEY}
- AZURE_OPENAI_ENDPOINT=${AZURE_OPENAI_ENDPOINT}
- AZURE_OPENAI_API_VERSION=${AZURE_OPENAI_API_VERSION}
- AZURE_OPENAI_DEPLOYMENT_NAME=${AZURE_OPENAI_DEPLOYMENT_NAME}
- OPENAI_COMPATIBLE_BASE_URL=${OPENAI_COMPATIBLE_BASE_URL}
- OPENAI_COMPATIBLE_API_KEY=${OPENAI_COMPATIBLE_API_KEY}
- FIRECRAWL_API_KEY=${FIRECRAWL_API_KEY}
- JINA_API_KEY=${JINA_API_KEY}
- VOYAGE_API_KEY=${VOYAGE_API_KEY}
- LANGCHAIN_TRACING_V2=${LANGCHAIN_TRACING_V2}
- LANGCHAIN_ENDPOINT=${LANGCHAIN_ENDPOINT}
- LANGCHAIN_API_KEY=${LANGCHAIN_API_KEY}
- LANGCHAIN_PROJECT=${LANGCHAIN_PROJECT}
volumes:
- ./notebook_data:/app/data
- ./surreal_data:/mydata
- ./google-credentials.json:/app/google-credentials.json
labels:
- 'createdBy: "Apps"'
networks:
1panel-network:
external: true

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#!/bin/bash
DOTENV_FILE="./.env"
DOCKER_ENV_FILE="./.docker.env"
REQUIRED_VARS=(
"OPEN_NOTEBOOK_PASSWORD"
"SURREAL_URL"
"SURREAL_USER"
"SURREAL_PASSWORD"
"SURREAL_NAMESPACE"
"SURREAL_DATABASE"
"OPENAI_API_KEY"
"ANTHROPIC_API_KEY"
"GEMINI_API_KEY"
"VERTEX_PROJECT"
"GOOGLE_APPLICATION_CREDENTIALS"
"VERTEX_LOCATION"
"DEEPSEEK_API_KEY"
"MISTRAL_API_KEY"
"GROQ_API_KEY"
"XAI_API_KEY"
"ELEVENLABS_API_KEY"
"OLLAMA_API_BASE"
"OPENROUTER_BASE_URL"
"OPENROUTER_API_KEY"
"AZURE_OPENAI_API_KEY"
"AZURE_OPENAI_ENDPOINT"
"AZURE_OPENAI_API_VERSION"
"AZURE_OPENAI_DEPLOYMENT_NAME"
"OPENAI_COMPATIBLE_BASE_URL"
"OPENAI_COMPATIBLE_API_KEY"
"FIRECRAWL_API_KEY"
"JINA_API_KEY"
"VOYAGE_API_KEY"
"LANGCHAIN_TRACING_V2"
"LANGCHAIN_ENDPOINT"
"LANGCHAIN_API_KEY"
"LANGCHAIN_PROJECT"
)
> $DOCKER_ENV_FILE
cat > $DOCKER_ENV_FILE << 'EOF'
SURREAL_URL=ws://localhost:8000/rpc
SURREAL_USER=root
SURREAL_PASSWORD=root
SURREAL_NAMESPACE=open_notebook
SURREAL_DATABASE=production
EOF
while IFS= read -r line || [ -n "$line" ]; do
if [[ -z "$line" || "$line" =~ ^[[:space:]]*# ]]; then
continue
fi
if [[ "$line" =~ ^([^=]+)=(.*)$ ]]; then
key="${BASH_REMATCH[1]}"
value="${BASH_REMATCH[2]}"
value=$(echo "$value" | sed -e 's/^"//' -e 's/"$//' -e "s/^'//" -e "s/'$//")
export "$key"="$value"
fi
done < "$DOTENV_FILE"
for var in "${REQUIRED_VARS[@]}"; do
value="${!var}"
if [ -n "$value" ]; then
echo "$var=$value" >> "$DOCKER_ENV_FILE"
fi
done

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# Open Notebook
一个开源的、注重隐私的 Google Notebook LM 替代方案！
![New Notebook](https://fastly.jsdelivr.net/gh/lfnovo/open-notebook@main/docs/assets/asset_list.png)
在人工智能主导的世界里，拥有思考 🧠 和获取新知识 💡 的能力，不应是少数人的特权，也不应局限于单一供应商。
## 🔧 系统要求
| | 最低要求 | 推荐要求 |
| -------- | --------------------- | ---------------- |
| **内存** | 2GB RAM | 4GB+ RAM |
| **CPU** | 2 核 | 4 核以上 |
| **存储** | 10GB 可用空间 | 50GB+ 空间 |
| **网络** | AI 提供商的互联网连接 | 稳定的高速互联网 |
## 提供商支持矩阵
必需的模型：聊天模型、转换模型、嵌入模型，每类模型必须至少配置一个。打开 Open Notebook 时没有这些可能无法正常工作。
| 提供商 | LLM 支持 | 嵌入支持 | 语音转文本 | 文本转语音 |
| -------------- | -------- | -------- | ---------- | ---------- |
| OpenAI | ✅ | ✅ | ✅ | ✅ |
| Anthropic | ✅ | ❌ | ❌ | ❌ |
| Groq | ✅ | ❌ | ✅ | ❌ |
| Google (GenAI) | ✅ | ✅ | ❌ | ✅ |
| Vertex AI | ✅ | ✅ | ❌ | ✅ |
| Ollama | ✅ | ✅ | ❌ | ❌ |
| Perplexity | ✅ | ❌ | ❌ | ❌ |
| ElevenLabs | ❌ | ❌ | ✅ | ✅ |
| Azure OpenAI | ✅ | ✅ | ❌ | ❌ |
| Mistral | ✅ | ✅ | ❌ | ❌ |
| DeepSeek | ✅ | ❌ | ❌ | ❌ |
| Voyage | ❌ | ✅ | ❌ | ❌ |
| xAI | ✅ | ❌ | ❌ | ❌ |
| OpenRouter | ✅ | ❌ | ❌ | ❌ |
| OpenAI 兼容* | ✅ | ❌ | ❌ | ❌ |
*支持 LM Studio 及任何 OpenAI 兼容的端点
## ✨ 核心功能
### 核心能力
- **🔒 隐私优先**：您的数据完全由您掌控 - 无需依赖云端服务
- **🎯 多笔记本组织**：无缝管理多个研究项目
- **📚 通用内容支持**：支持PDF、视频、音频、网页、Office文档等多种格式
- **🤖 多模型AI支持**：集成16+家提供商，包括OpenAI、Anthropic、Ollama、Google、LM Studio等
- **🎙️ 专业播客生成**：通过剧集配置文件实现高级多说话人播客功能
- **🔍 智能搜索**：对所有内容进行全文和向量搜索
- **💬 上下文感知对话**：基于您的研究材料驱动AI对话
- **📝 AI辅助笔记**：可自动生成见解或手动编写笔记
### 高级功能
- **⚡ 推理模型支持**：全面支持DeepSeek-R1和Qwen3等思维模型
- **🔧 内容转换**：强大的可定制操作，用于总结和提取见解
- **🌐 完整REST API**：提供完整的编程接口，支持自定义集成
- **🔐 可选密码保护**：通过身份验证确保公共部署的安全性
- **📊 细粒度上下文控制**：精确选择与AI模型共享的内容
- **📎 引用功能**：获取带有准确来源引用的答案
了解更多项目信息请访问 [https://www.open-notebook.ai](https://www.open-notebook.ai/)
## 🆚 Open Notebook 与 Google Notebook LM 对比
| 功能特性 | Open Notebook | Google Notebook LM | 优势对比 |
| ----------------- | ----------------------------------------------------- | ------------------ | ---------------- |
| **隐私与控制** | 自托管，数据自主 | 仅限谷歌云 | 完全的数据主权 |
| **AI 供应商选择** | 16+ 供应商（OpenAI、Anthropic、Ollama、LM Studio 等） | 仅限谷歌模型 | 灵活性与成本优化 |
| **播客发言人** | 1-4 个发言人，支持自定义配置 | 仅限 2 个发言人 | 极致灵活性 |
| **上下文控制** | 3 级精细控制 | 全有或全无 | 隐私与性能调优 |
| **内容转换** | 自定义与内置功能 | 选项有限 | 无限处理能力 |
| **API 访问** | 完整 REST API | 无 API | 完全自动化 |
| **部署方式** | Docker、云端或本地 | 仅谷歌托管 | 随处部署 |
| **引用标注** | 带来源的完整引用 | 基础参考文献 | 研究完整性 |
| **自定义能力** | 开源，完全可定制 | 封闭系统 | 无限扩展性 |
| **成本结构** | 仅按 AI 使用量付费 | 月费 + 使用量计费 | 透明可控 |
**为何选择 Open Notebook？**
- 🔒 **隐私优先**：您的敏感研究数据完全保持私密
- 💰 **成本控制**：可选择更经济的AI服务提供商，或通过Ollama本地运行
- 🎙️ **更优质的播客**：完整脚本控制与多说话人灵活性，相比有限的双人深度对话格式
- 🔧 **无限定制**：按需修改、扩展和集成
- 🌐 **无供应商锁定**：自由切换服务提供商，随处部署，完全拥有您的数据

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# Open Notebook
An open source, privacy-focused alternative to Google's Notebook LM!
![New Notebook](https://fastly.jsdelivr.net/gh/lfnovo/open-notebook@main/docs/assets/asset_list.png)
In a world dominated by Artificial Intelligence, having the ability to think 🧠 and acquire new knowledge 💡, is a skill that should not be a privilege for a few, nor restricted to a single provider.
## 🔧 System Requirements
| | Minimum Requirements | Recommended Requirements |
| ----------- | ------------------------------------ | -------------------------- |
| **Memory** | 2GB RAM | 4GB+ RAM |
| **CPU** | 2 cores | 4+ cores |
| **Storage** | 10GB free space | 50GB+ free space |
| **Network** | Internet connection for AI providers | Stable high-speed internet |
## Provider Support Matrix
Required models: chat model, conversion model, embedding model. At least one of each type must be configured. Open Notebook may not function properly without these when opened.
| Provider | LLM Support | Embedding Support | Speech-to-Text | Text-to-Speech |
| ------------------ | ----------- | ----------------- | -------------- | -------------- |
| OpenAI | ✅ | ✅ | ✅ | ✅ |
| Anthropic | ✅ | ❌ | ❌ | ❌ |
| Groq | ✅ | ❌ | ✅ | ❌ |
| Google (GenAI) | ✅ | ✅ | ❌ | ✅ |
| Vertex AI | ✅ | ✅ | ❌ | ✅ |
| Ollama | ✅ | ✅ | ❌ | ❌ |
| Perplexity | ✅ | ❌ | ❌ | ❌ |
| ElevenLabs | ❌ | ❌ | ✅ | ✅ |
| Azure OpenAI | ✅ | ✅ | ❌ | ❌ |
| Mistral | ✅ | ✅ | ❌ | ❌ |
| DeepSeek | ✅ | ❌ | ❌ | ❌ |
| Voyage | ❌ | ✅ | ❌ | ❌ |
| xAI | ✅ | ❌ | ❌ | ❌ |
| OpenRouter | ✅ | ❌ | ❌ | ❌ |
| OpenAI Compatible* | ✅ | ❌ | ❌ | ❌ |
*Supports LM Studio and any OpenAI-compatible endpoint
## ✨ Key Features
### Core Capabilities
- **🔒 Privacy-First**: Your data stays under your control - no cloud dependencies
- **🎯 Multi-Notebook Organization**: Manage multiple research projects seamlessly
- **📚 Universal Content Support**: PDFs, videos, audio, web pages, Office docs, 和 more
- **🤖 Multi-Model AI Support**: 16+ providers including OpenAI, Anthropic, Ollama, Google, LM Studio, 和 more
- **🎙️ Professional Podcast Generation**: Advanced multi-speaker podcasts with Episode Profiles
- **🔍 Intelligent Search**: Full-text and vector search across all your content
- **💬 Context-Aware Chat**: AI conversations powered by your research materials
- **📝 AI-Assisted Notes**: Generate insights or write notes manually
### Advanced Features
- **⚡ Reasoning Model Support**: Full support for thinking models like DeepSeek-R1 and Qwen3
- **🔧 Content Transformations**: Powerful customizable actions to summarize and extract insights
- **🌐 Comprehensive REST API**: Full programmatic access for custom integrations
- **🔐 Optional Password Protection**: Secure public deployments with authentication
- **📊 Fine-Grained Context Control**: Choose exactly what to share with AI models
- **📎 Citations**: Get answers with proper source citations
Learn more about our project at [https://www.open-notebook.ai](https://www.open-notebook.ai/)
## 🆚 Open Notebook vs Google Notebook LM
| Feature | Open Notebook | Google Notebook LM | Advantage |
| --------------------------- | ---------------------------------------------------------- | ---------------------------- | --------------------------------- |
| **Privacy & Control** | Self-hosted, your data | Google cloud only | Complete data sovereignty |
| **AI Provider Choice** | 16+ providers (OpenAI, Anthropic, Ollama, LM Studio, etc.) | Google models only | Flexibility and cost optimization |
| **Podcast Speakers** | 1-4 speakers with custom profiles | 2 speakers only | Extreme flexibility |
| **Context Control** | 3 granular levels | All-or-nothing | Privacy and performance tuning |
| **Content Transformations** | Custom and built-in | Limited options | Unlimited processing power |
| **API Access** | Full REST API | No API | Complete automation |
| **Deployment** | Docker, cloud, or local | Google hosted only | Deploy anywhere |
| **Citations** | Comprehensive with sources | Basic references | Research integrity |
| **Customization** | Open source, fully customizable | Closed system | Unlimited extensibility |
| **Cost** | Pay only for AI usage | Monthly subscription + usage | Transparent and controllable |
**Why Choose Open Notebook?**
- 🔒 **Privacy First**: Your sensitive research stays completely private
- 💰 **Cost Control**: Choose cheaper AI providers or run locally with Ollama
- 🎙️ **Better Podcasts**: Full script control and multi-speaker flexibility vs limited 2-speaker deep-dive format
- 🔧 **Unlimited Customization**: Modify, extend, 和 integrate as needed
- 🌐 **No Vendor Lock-in**: Switch providers, deploy anywhere, own your data

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name: Open Notebook
tags:
- 实用工具
title: 一个开源的、注重隐私的 Google Notebook LM 替代方案
description:
en: An open source, privacy-focused alternative to Google's Notebook LM
zh: 一个开源的、注重隐私的 Google Notebook LM 替代方案
additionalProperties:
key: open-notebook
name: Open Notebook
tags:
- Tool
shortDescZh: 一个开源的、注重隐私的 Google Notebook LM 替代方案
shortDescEn: An open source, privacy-focused alternative to Google's Notebook LM
description:
en: An open source, privacy-focused alternative to Google's Notebook LM
zh: 一个开源的、注重隐私的 Google Notebook LM 替代方案
zh-Hant: 一個開源、注重隱私的 Google Notebook LM 替代方案
ja: Google Notebook LM のオープンソースでプライバシー重視の代替案
ms: Alternatif sumber terbuka dan berfokus privasi untuk Google Notebook LM
pt-br: Uma alternativa de código aberto e com foco em privacidade ao Google Notebook LM
ru: Альтернатива Google Notebook LM с открытым исходным кодом и ориентацией на конфиденциальность
ko: Google Notebook LM의 오픈 소스, 프라이버시 중심 대안
type: website
crossVersionUpdate: true
limit: 0
website: https://www.open-notebook.ai
github: https://github.com/lfnovo/open-notebook
document: https://github.com/lfnovo/open-notebook
memoryRequired: 2048
architectures:
- amd64
- arm64

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