- Replace old docs structure with new comprehensive documentation - Organize into 8 major sections (0-START-HERE through 7-DEVELOPMENT) - Convert CONFIGURATION.md, CONTRIBUTING.md, MAINTAINER_GUIDE.md to redirects - Remove outdated MIGRATION.md and DESIGN_PRINCIPLES.md - Fix all internal documentation links and cross-references - Add progressive disclosure paths for different user types - Include 44 focused guides covering all features - Update README.md to remove v1.0 breaking changes notice
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Configuration - Essential Settings
Configuration is how you customize Open Notebook for your specific setup. This section covers what you need to know.
What Needs Configuration?
Three things:
- AI Provider — Which LLM/embedding service you're using (OpenAI, Anthropic, Ollama, etc.)
- Database — How to connect to SurrealDB (usually pre-configured)
- Server — API URL, ports, timeouts (usually auto-detected)
Quick Decision: Which Provider?
Option 1: Cloud Provider (Fastest)
- OpenAI (GPT-4o, GPT-4o-mini)
- Anthropic (Claude Sonnet, Haiku)
- Google Gemini (multi-modal, long context)
- Groq (ultra-fast inference)
Setup: Get API key → Set env var → Done
Cost: $0.01-0.10 per 1K tokens
→ Go to AI Providers Guide
Option 2: Local (Free & Private)
- Ollama (open-source models, on your machine)
- LM Studio (desktop app)
- OpenAI-compatible (LM Studio, etc.)
Setup: Install/run locally → Set endpoint → Done
Cost: Free (electricity only)
→ Go to Ollama Setup
Option 3: OpenAI-Compatible
- LM Studio (local)
- Text Generation UI (local)
- Custom endpoints
Setup: Point to your endpoint → Set API key → Done
Cost: Depends on service
→ Go to OpenAI-Compatible Guide
Three Configuration Files
.env (Local Development)
Located in: project root
Use for: Development on your machine
Format: KEY=value, one per line
docker.env (Docker Deployment)
Located in: project root (or ./docker)
Use for: Docker deployments
Format: Same as .env
Loaded by: docker-compose.yml
.env.local (Next.js Frontend)
Located in: frontend/
Use for: Frontend-specific settings
Currently: Just NEXT_PUBLIC_API_URL
Most Important Settings
For Every Setup
1. Surreal Database
SURREAL_URL=ws://surrealdb:8000/rpc
SURREAL_USER=root
SURREAL_PASSWORD=root # Change in production!
SURREAL_NAMESPACE=open_notebook
SURREAL_DATABASE=staging # or "production"
Usually pre-configured. Only change if using different database.
2. AI Provider API Key
Pick ONE:
OPENAI_API_KEY=sk-...
ANTHROPIC_API_KEY=sk-ant-...
GOOGLE_API_KEY=...
GROQ_API_KEY=...
# Or for Ollama: No key needed
Required. You must set at least one.
3. API URL (If Behind Reverse Proxy)
API_URL=https://your-domain.com
# Usually auto-detected. Only set if needed.
Optional. Auto-detection works for most setups.
Configuration by Scenario
Scenario 1: Docker on Localhost (Default)
# In docker.env:
OPENAI_API_KEY=sk-...
# Everything else uses defaults
# Done!
Scenario 2: Docker on Remote Server
# In docker.env:
OPENAI_API_KEY=sk-...
API_URL=http://your-server-ip:5055
Scenario 3: Behind Reverse Proxy (Nginx/Cloudflare)
# In docker.env:
OPENAI_API_KEY=sk-...
API_URL=https://your-domain.com
# The reverse proxy handles HTTPS
Scenario 4: Using Ollama Locally
# In .env:
OLLAMA_API_BASE=http://localhost:11434
# No API key needed
Scenario 5: Using Azure OpenAI
# In docker.env:
AZURE_OPENAI_API_KEY=your-key
AZURE_OPENAI_ENDPOINT=https://your-instance.openai.azure.com/
AZURE_OPENAI_API_VERSION=2024-12-01-preview
Configuration Sections
AI Providers
- OpenAI configuration
- Anthropic configuration
- Google Gemini configuration
- Groq configuration
- Ollama configuration
- Azure OpenAI configuration
- OpenAI-compatible configuration
Database
- SurrealDB setup
- Connection strings
- Database vs. namespace
- Running your own SurrealDB
Server
- API_URL (when and how)
- Ports and networking
- Timeouts and concurrency
- SSL/security
Advanced
- Retry configuration
- Worker concurrency
- Language models & embeddings
- Speech-to-text & text-to-speech
- Debugging and logging
Reverse Proxy
- Nginx, Caddy, Traefik configs
- Custom domain setup
- SSL/HTTPS configuration
- Coolify and other platforms
Security
- Password protection
- API authentication
- Production hardening
- Firewall configuration
Local TTS
- Speaches setup for local text-to-speech
- GPU acceleration
- Voice options
- Docker networking
OpenAI-Compatible Providers
- LM Studio, vLLM, Text Generation WebUI
- Connection configuration
- Docker networking
- Troubleshooting
Complete Reference
- All environment variables
- Grouped by category
- What each one does
- Default values
How to Add Configuration
Method 1: Edit .env File (Development)
1. Open .env in your editor
2. Find the section for your provider
3. Uncomment and fill in your API key
4. Save
5. Restart services
Method 2: Set Docker Environment (Deployment)
# In docker-compose.yml:
services:
api:
environment:
- OPENAI_API_KEY=sk-...
- API_URL=https://your-domain.com
Method 3: Export Environment Variables
# In your terminal:
export OPENAI_API_KEY=sk-...
export API_URL=https://your-domain.com
# Then start services
docker compose up
Method 4: Use docker.env File
1. Create/edit docker.env
2. Add your configuration
3. docker-compose automatically loads it
4. docker compose up
Verification
After configuration, verify it works:
1. Open your notebook
2. Go to Settings → Models
3. You should see your configured provider
4. Try a simple Chat question
5. If it responds, configuration is correct!
Common Mistakes
| Mistake | Problem | Fix |
|---|---|---|
| Forget API key | Models not available | Add OPENAI_API_KEY (or your provider) |
| Wrong database URL | Can't start API | Check SURREAL_URL format |
| Expose port 5055 | "Can't connect to server" | Expose 5055 in docker-compose |
| Typo in env var | Settings ignored | Check spelling (case-sensitive!) |
| Quote mismatch | Value cut off | Use quotes: OPENAI_API_KEY="sk-..." |
| Don't restart | Old config still used | Restart services after env changes |
What Comes After Configuration
Once configured:
- Quick Start — Run your first notebook
- Installation — Multi-route deployment guides
- User Guide — How to use each feature
Getting Help
- Configuration error? → Check Troubleshooting
- Provider-specific issue? → Check AI Providers
- Need complete reference? → See Environment Reference
Summary
Minimal configuration to run:
- Choose an AI provider (or use Ollama locally)
- Set API key in .env or docker.env
- Start services
- Done!
Everything else is optional optimization.