.env.example

# Open Notebook Configuration Example
# Copy this file to .env and fill in your values
#
# NOTE: The application automatically loads .env file on startup if it exists.
# You can also use .env.local for local overrides (not tracked in git).

# LLM Provider - Choose one
# ============================

# OpenAI (default)
OPENAI_API_KEY=sk-your-openai-api-key-here
OPENAI_BASE_URL=https://api.openai.com/v1
OPENAI_MODEL=gpt-4o-mini
EMBEDDING_MODEL=text-embedding-3-small

# OR Ollama (local, free)
OLLAMA_BASE_URL=http://localhost:11434
OLLAMA_MODEL=llama3.2

# OR Google Gemini (for Infographics and Nano Banana)
GOOGLE_API_KEY=your-google-api-key-here

# Server Configuration
# ============================
SERVER_HOST=0.0.0.0
SERVER_PORT=8080

# Vector Store Configuration
# ============================
# Options: sqlite, memory, supabase, postgres, redis
VECTOR_STORE_TYPE=sqlite
SQLITE_PATH=./data/vector.db

# Store Configuration
# ============================
STORE_TYPE=sqlite
STORE_PATH=./data/checkpoints.db

# Agent Configuration
# ============================
MAX_SOURCES=5
CHUNK_SIZE=1000
CHUNK_OVERLAP=200

# Document Conversion Configuration
# ============================
# Enable Microsoft markitdown for converting PDF, DOCX, PPTX, XLSX to Markdown
# Requires markitdown CLI tool to be installed (pip install markitdown)
# Set to false to use original simple text extraction (may not work well for binary formats)
ENABLE_MARKITDOWN=true

# Audio Transcription Configuration
# ============================
# Enable vosk-transcriber for converting audio files to text
# Requires vosk-transcriber CLI tool to be installed
# Installation: https://github.com/alphacep/vosk-transcriber
# Supported formats: mp3, wav, m4a, aac, flac, ogg, wma, opus, mp4, avi, mkv, mov, webm
ENABLE_VOSK_TRANSCRIBER=true

# Path to vosk model directory (download from https://alphacephei.com/vosk/models)
# 
# English models:
#   - Small: vosk-model-small-en-us-0.15 (fast, good accuracy)
#   - Full: vosk-model-en-us-0.22 (slower, better accuracy)
#   Path example: /root/.cache/vosk/vosk-model-small-en-us-0.15
#
# Chinese models:
#   - Small: vosk-model-small-cn-0.22 (fast, good for Mandarin)
#   Path example: /root/.cache/vosk/vosk-model-small-cn-0.22
#
# Download and extract:
#   wget https://alphacephei.com/vosk/models/vosk-model-small-cn-0.22.zip
#   unzip vosk-model-small-cn-0.22.zip -d /root/.cache/vosk/
VOSK_MODEL_PATH=/root/.cache/vosk/vosk-model-small-cn-0.22

# 允许删除（默认为 true）
ALLOW_DELETE=true

# 允许为一个笔记本创建多个相同类型的笔记（默认为 true）
ALLOW_MULTIPLE_NOTES_OF_SAME_TYPE=true

# Auth Configuration
# ============================
JWT_SECRET=your-secret-key-change-me-in-production

# GitHub OAuth (optional - for GitHub login)
# ==========================================
GITHUB_CLIENT_ID=your-github-client-id
GITHUB_CLIENT_SECRET=your-github-client-secret
GITHUB_REDIRECT_URL=http://localhost:8080/auth/github/callback

# Google OAuth (optional - for Google login)
# ==========================================
GOOGLE_CLIENT_ID=your-google-client-id
GOOGLE_CLIENT_SECRET=your-google-client-secret
GOOGLE_REDIRECT_URL=http://localhost:8080/auth/google/callback

# Image Generation Configuration
# ============================
# Options: gemini (default), glm, zimage
IMAGE_PROVIDER=gemini

# GLM (智谱AI) image generation
GLM_API_KEY=your-glm-api-key
GLM_IMAGE_MODEL=glm-image

# Gemini image generation
GEMINI_IMAGE_MODEL=gemini-3.1-flash-image-preview

# Z-Image image generation
ZIMAGE_API_KEY=your-zimage-api-key
ZIMAGE_MODEL=z-image-turbo

# Agent Configuration (Extended)
# ============================
MAX_CONTEXT_LENGTH=128000


# Test Mode (for development/testing - WARNING: Do not enable in production!)
# =============================================================
ENABLE_TEST_MODE=false
# Test account configuration (used when ENABLE_TEST_MODE=true)
TEST_USER_ID=test-user-123
TEST_USER_NAME=测试用户
TEST_USER_EMAIL=test@example.com
TEST_USER_AVATAR=