* feat: replace provider config with credential-based system (#477) Introduce a new credential management system replacing the old ProviderConfig singleton and standalone Models page. Each credential stores encrypted API keys and provider-specific configuration with full CRUD support via a unified settings UI. Backend: - Add Credential domain model with encrypted API key storage - Add credentials API router (CRUD, discovery, registration, testing) - Add encryption utilities for secure key storage - Add key_provider for DB-first env-var fallback provisioning - Add connection tester and model discovery services - Integrate ModelManager with credential-based config - Add provider name normalization for Esperanto compatibility - Add database migrations 11-12 for credential schema Frontend: - Rewrite settings/api-keys page with credential management UI - Add model discovery dialog with search and custom model support - Add compact default model assignments (primary/advanced layout) - Add inline model testing and credential connection testing - Add env-var migration banner - Update navigation to unified settings page - Remove standalone models page and old settings components i18n: - Update all 7 locale files with credential and model management keys Closes #477 Co-Authored-By: JFMD <git@jfmd.us> Co-Authored-By: OraCatQAQ <570768706@qq.com> * fix: address PR #540 review comments - Fix docs referencing removed Models page - Fix error-handler returning raw messages instead of i18n keys - Fix auth.py misleading docstring and missing no-password guard - Fix connection_tester using wrong env var for openai_compatible - Add provision_provider_keys before model discovery/sync - Update CLAUDE.md to reflect credential-based system - Fix missing closing brace in api-keys page useEffect * fix: add logging to credential migration and surface errors in UI - Add comprehensive logging to migrate-from-env and migrate-from-provider-config endpoints (start, per-provider progress, success/failure with stack traces, final summary) - Fix frontend migration hooks ignoring errors array from response - Show error toast when migration fails instead of "nothing to migrate" - Invalidate status/envStatus queries after migration so banner updates * docs: update CLAUDE.md files for credential system Replace stale ProviderConfig and /api-keys/ references across 8 CLAUDE.md files to reflect the new Credential-based system from PR #540. * docs: update user documentation for credential-based system Replace env var API key instructions with Settings UI credential workflow across all user-facing documentation. The new flow is: set OPEN_NOTEBOOK_ENCRYPTION_KEY → start services → add credential in Settings UI → test → discover models → register. - Rewrite ai-providers.md, api-configuration.md, environment-reference.md - Update all quick-start guides and installation docs - Update ollama.md, openai-compatible.md, local-tts/stt networking sections - Update reverse-proxy.md, development-setup.md, security.md - Fix broken links to non-existent docs/deployment/ paths - Add credentials endpoints to api-reference.md - Move all API key env vars to deprecated/legacy sections * chore: bump version to 1.7.0-rc1 Release candidate for credential-based provider management system. * fix: initialize provider before try block in test_credential Prevents UnboundLocalError when Credential.get() throws (e.g., invalid credential_id) before provider is assigned. * fix: reorder down migration to drop index before table Removes duplicate REMOVE FIELD statement and reorders so the index is dropped before the table, preventing rollback failures. * refactor: simplify encryption key to always derive via SHA-256 Remove the dual code path in _ensure_fernet_key() that detected native Fernet keys. Since the credential system is new, always deriving via SHA-256 removes unnecessary complexity. Also removes the generate_key() function and Fernet.generate_key() references from docs. * fix: correct mock patch targets in embedding tests and URL validation Fix embedding tests patching wrong module path for model_manager (was targeting open_notebook.utils.embedding.model_manager but it's imported locally from open_notebook.ai.models). Also fix URL validation to allow unresolvable hostnames since they may be valid in the deployment environment (e.g., Azure endpoints, internal DNS). * feat: add global setup banner for encryption and migration status Show a persistent banner in AppShell when encryption key is missing (red) or env var API keys can be migrated (amber), so users see these prompts on every page instead of only on Settings > API Keys. Includes a docs link for the encryption banner and i18n support across all 7 locales. * docs: several improvements to docker-compose e env examples * Update README.md Co-authored-by: cubic-dev-ai[bot] <191113872+cubic-dev-ai[bot]@users.noreply.github.com> * docs: fix env var format in README and update model setup instructions Align the encryption key snippet in README Step 2 with the list format used in the compose file. Replace deprecated "Settings → Models" instructions with credential-based Discover Models flow. * fix: address credential system review issues - Fix SSRF bypass via IPv4-mapped IPv6 addresses (::ffff:169.254.x.x) - Fix TTS connection test missing config parameter - Add Azure-specific model discovery using api-key auth header - Add Vertex static model list for credential-based discovery - Fix PROVIDER_DISCOVERY_FUNCTIONS incorrect azure/vertex mapping - Extract business logic to api/credentials_service.py (service layer) - Move credential Pydantic schemas to api/models.py - Update tests to use new service imports and ValueError assertions * fix: sanitize error responses and migrate key_provider to Credential - Replace raw exception messages in all credential router 500 responses with generic error strings (internal details logged server-side only) - Refactor key_provider.py to use Credential.get_by_provider() instead of deprecated ProviderConfig.get_instance() - Remove unused functions (get_provider_configs, get_default_api_key, get_provider_config) that were dead code --------- Co-authored-by: JFMD <git@jfmd.us> Co-authored-by: OraCatQAQ <570768706@qq.com>
5.3 KiB
Quick Start - Cloud AI Providers (5 minutes)
Get Open Notebook running with Anthropic, Google, Groq, or other cloud providers. Same simplicity as OpenAI, with more choices.
Prerequisites
-
Docker Desktop installed
- Download here
- Already have it? Skip to step 2
-
API Key from your chosen provider:
- OpenRouter (100+ models, one key): https://openrouter.ai/keys
- Anthropic (Claude): https://console.anthropic.com/
- Google (Gemini): https://aistudio.google.com/
- Groq (fast, free tier): https://console.groq.com/
- Mistral: https://console.mistral.ai/
- DeepSeek: https://platform.deepseek.com/
- xAI (Grok): https://console.x.ai/
Step 1: Create Configuration (1 min)
Create a new folder open-notebook and add this file:
docker-compose.yml:
services:
surrealdb:
image: surrealdb/surrealdb:v2
command: start --user root --pass password --bind 0.0.0.0:8000 rocksdb:/mydata/mydatabase.db
ports:
- "8000:8000"
volumes:
- ./surreal_data:/mydata
open_notebook:
image: lfnovo/open_notebook:v1-latest
pull_policy: always
ports:
- "8502:8502" # Web UI
- "5055:5055" # API
environment:
# Encryption key for credential storage (required)
- OPEN_NOTEBOOK_ENCRYPTION_KEY=change-me-to-a-secret-string
# Database (required)
- SURREAL_URL=ws://surrealdb:8000/rpc
- SURREAL_USER=root
- SURREAL_PASSWORD=password
- SURREAL_NAMESPACE=open_notebook
- SURREAL_DATABASE=open_notebook
volumes:
- ./notebook_data:/app/data
depends_on:
- surrealdb
restart: always
Edit the file:
- Replace
change-me-to-a-secret-stringwith your own secret (any string works)
Step 2: Start Services (1 min)
Open terminal in your open-notebook folder:
docker compose up -d
Wait 15-20 seconds for services to start.
Step 3: Access Open Notebook (instant)
Open your browser:
http://localhost:8502
You should see the Open Notebook interface!
Step 4: Configure Your AI Provider (1 min)
- Go to Settings → API Keys
- Click Add Credential
- Select your provider (e.g., Anthropic, Google, Groq, OpenRouter)
- Give it a name, paste your API key
- Click Save
- Click Test Connection — should show success
- Click Discover Models → Register Models
Your provider's models are now available!
Multiple providers: You can add credentials for as many providers as you want. Just repeat this step for each provider.
Step 5: Configure Your Model (1 min)
- Go to Settings (gear icon)
- Navigate to Models
- Select your provider's model:
| Provider | Recommended Model | Notes |
|---|---|---|
| OpenRouter | anthropic/claude-3.5-sonnet |
Access 100+ models |
| Anthropic | claude-3-5-sonnet-latest |
Best reasoning |
gemini-2.0-flash |
Large context, fast | |
| Groq | llama-3.3-70b-versatile |
Ultra-fast |
| Mistral | mistral-large-latest |
Strong European option |
- Click Save
Step 6: Create Your First Notebook (1 min)
- Click New Notebook
- Name: "My Research"
- Click Create
Step 7: Add Content & Chat (2 min)
- Click Add Source
- Choose Web Link
- Paste any article URL
- Wait for processing
- Go to Chat and ask questions!
Verification Checklist
- Docker is running
- You can access
http://localhost:8502 - Provider credential is configured and tested
- Models are registered
- You created a notebook
- Chat works
All checked? You're ready to research!
Provider Comparison
| Provider | Speed | Quality | Context | Cost |
|---|---|---|---|---|
| OpenRouter | Varies | Varies | Varies | Varies (100+ models) |
| Anthropic | Medium | Excellent | 200K | $ |
| Fast | Very Good | 1M+ | |
|
| Groq | Ultra-fast | Good | 128K | $ (free tier) |
| Mistral | Fast | Good | 128K | |
| DeepSeek | Medium | Very Good | 64K | $ |
Troubleshooting
"Model not found" Error
- Go to Settings → API Keys
- Click Test Connection on your credential
- If valid, click Discover Models → Register Models
- Check you have credits/access for the model
"Cannot connect to server"
docker ps # Check all services running
docker compose logs # View logs
docker compose restart # Restart everything
Provider-Specific Issues
Anthropic: Ensure key starts with sk-ant-
Google: Use AI Studio key, not Cloud Console
Groq: Free tier has rate limits; upgrade if needed
Cost Estimates
Approximate costs per 1K tokens:
| Provider | Input | Output |
|---|---|---|
| Anthropic (Sonnet) | $0.003 | $0.015 |
| Google (Flash) | $0.0001 | $0.0004 |
| Groq (Llama 70B) | Free tier available | - |
| Mistral (Large) | $0.002 | $0.006 |
Check provider websites for current pricing.
Next Steps
- Add Your Content: PDFs, web links, documents
- Explore Features: Podcasts, transformations, search
- Full Documentation: See all features
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