* feat: content-type aware chunking and unified embedding
- Add chunking.py with HTML, Markdown, and plain text detection
- Add embedding.py with mean pooling for large content
- Create dedicated commands: embed_note, embed_insight, embed_source
- Use fire-and-forget pattern for embedding via submit_command()
- Refactor rebuild_embeddings_command to delegate to individual commands
- Remove legacy commands and needs_embedding() methods
- Reduce chunk size to 1500 chars for Ollama compatibility
- Update CLAUDE.md documentation for new architecture
Fixes#350, #142
* fix: address code review issues
- Note.save() now returns command_id for tracking embedding jobs
- Add length check after generate_embeddings() to fail fast on mismatch
- Add numpy as explicit dependency (was transitive)
- Remove hardcoded chunk sizes from docstrings
* docs: address code review comments
- Rename "SYNC PATH" to "DOMAIN MODEL PATH" in embedding router
- Add test_chunking.py and test_embedding.py to Testing Strategy
- Clarify auto-embedding behavior for each domain model
* fix: clean thinking tags from prompt graph output
Adds clean_thinking_content() to prompt.py to handle extended thinking
models that return <think>...</think> tags. This fixes empty titles
when saving notes from chat.
* chore: remove local docker-compose from git
* fix(frontend): handle null parent_id in search results
Add defensive check for null parent_id in search results to prevent
"Cannot read properties of null (reading 'split')" error. This can
happen with orphaned records in the database.
* fix: cascade delete embeddings and insights when source is deleted
When deleting a Source, now also deletes associated:
- source_embedding records
- source_insight records
This prevents orphaned records that cause null parent_id errors
in vector search results.
* fix: add cleanup for orphan embedding/insight records in migration 10
Deletes source_embedding and source_insight records where the
linked source no longer exists (source.id = NONE).
* chore: bump esperanto to 2.16
Increases ctx_num for Ollama models to accommodate larger notebook
context windows. See: https://github.com/lfnovo/esperanto/pull/69
Previously, uploaded files remained on disk after source deletion,
causing disk space accumulation and potential privacy concerns.
The Source.delete() method now removes associated files before
database cleanup, with graceful error handling to prevent
database inconsistency if file deletion fails.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
The model uniqueness constraint now considers (provider, name, type)
instead of just (provider, name). This allows users to add the same
model name for different purposes (e.g., language vs embedding).
Fixes#391
Use model_copy() instead of creating new AIMessage to preserve
response_metadata, id, usage_metadata, etc. Also adds test coverage
for malformed thinking tags pattern.
Addresses PR #333 feedback from lfnovo and cubic-dev-ai.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* chore: improve podcast transcripts
* fix: remove date from insight - fixes#241
* fix: improve scrolling on source and insights - fixes#237
* chore: update esperanto to fix: #234
* chore: update esperanto to fix#226
* fix: process vectorization as subcommands to handle larger documents more gracefully - fix: #229
* feat: enable background job retry capabilities
* feat: reenable content types that were disabled during alpha version
* fix: remove unnecessary model caching causing many issues.
* feat: support multiple azure endpoints and keys just like openai compatible. Fixes#215
* docs: update azure variables
* chore: bump and update dependencies
* feat: prevent duplicate model names under same provider
Implement case-insensitive validation to prevent users from creating
duplicate model names under the same provider. This validation is
implemented both in the backend API and the frontend UI.
Changes:
- Backend: Add duplicate check in create_model endpoint (case-insensitive)
- Frontend: Add client-side validation in AddModelForm
- Frontend: Improve error message display from backend
- Tests: Add unit tests for duplicate model validation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: optimize duplicate model validation and improve error handling
- Replace O(n) model iteration with efficient SurrealDB query for duplicate check
- Improve error message to include model name and provider for better UX
- Remove frontend duplicate validation (backend-only enforcement)
- Fix test authentication by setting OPEN_NOTEBOOK_PASSWORD before imports
- Update test mocking to use repo_query instead of Model.get_all()
- Add pytest fixture for TestClient to ensure proper test isolation
All 11 tests passing.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* remove unnecessary package
* fix: replace any with unknown type in error handler
- Change error type from 'any' to 'unknown' to satisfy ESLint
- Add proper type assertion for error object structure
- Maintains same runtime behavior with better type safety
---------
Co-authored-by: Claude <noreply@anthropic.com>
* feat: simplify reverse proxy configuration with Next.js rewrites
Add Next.js API rewrites to proxy /api/* requests internally from port 8502
to the FastAPI backend on port 5055. This eliminates the need for complex
reverse proxy configurations with multiple upstreams and location blocks.
Changes:
- Add rewrites to next.config.ts proxying /api/* to INTERNAL_API_URL
- Introduce INTERNAL_API_URL env var (defaults to http://localhost:5055)
- Update supervisord configs to pass INTERNAL_API_URL to Next.js
- Document INTERNAL_API_URL in .env.example with usage examples
- Add simplified reverse proxy examples for nginx, Traefik, Caddy, Coolify
- Update README architecture diagram to show internal proxying
- Add explanatory comments to _config route handler
Benefits:
- Reduces reverse proxy config from 12 lines to 3 (75% reduction)
- Single-port deployment (8502 only) for 95% of use cases
- Zero breaking changes - backward compatible with existing setups
- Zero performance overhead (validated through testing)
- Preserves proxy headers (X-Forwarded-*) for rate limiting/SSL
Resolves: #179
Related: OSS-321
* fix: rename _config to config to fix production routing
CRITICAL BUG FIX: The /_config endpoint has never worked in production builds
because Next.js treats folders starting with underscore as "private folders"
and excludes them from routing entirely.
This endpoint is critical for:
- Providing API_URL to the browser at runtime
- Enabling zero-config deployments with auto-detection
- Supporting reverse proxy scenarios where API URL differs from frontend URL
Changes:
- Rename frontend/src/app/_config/ → frontend/src/app/config/
- Update client code references (/_config → /config)
- Update documentation with correct endpoint path
- Bump version to 1.1.0 (minor version for new rewrites feature + bug fix)
Impact:
- Runtime configuration now works in production builds
- /config returns {"apiUrl":"http://localhost:5055"} correctly
- Auto-detection for reverse proxy deployments now functional
Related: #179, OSS-321
* fix: resolve React hook exhaustive-deps warning in AddExistingSourceDialog
Wrap performSearch function in useCallback to properly memoize it and satisfy
React Hook exhaustive-deps rule. This prevents unnecessary re-renders and
ensures the useEffect dependency array is correctly specified.
Changes:
- Import useCallback from React
- Wrap performSearch with useCallback([debouncedSearchQuery, allSources])
- Add performSearch to useEffect dependency array
* final fixes
* fix text
* remove lint from docker publish workflow
* gemini base url docs
* feat: add multimodal support for openai-compatible providers
- Add helper function to check OpenAI-compatible provider availability per mode
- Update provider detection to support language, embedding, STT, and TTS modalities
- Implement mode-specific environment variable detection (LLM, EMBEDDING, STT, TTS)
- Maintain backward compatibility with generic OPENAI_COMPATIBLE_BASE_URL
- Add comprehensive unit tests for all configuration scenarios
- Update .env.example with mode-specific environment variables
- Update provider support matrix in ai-models.md
- Create comprehensive openai-compatible.md setup guide
This enables users to configure different OpenAI-compatible endpoints for
different AI capabilities (e.g., LM Studio for language models, dedicated
server for embeddings) while maintaining full backward compatibility.
* upgrade
* chore: change docker release strategy
New front-end
Launch Chat API
Manage Sources
Enable re-embedding of all contents
Sources can be added without a notebook now
Improved settings
Enable model selector on all chats
Background processing for better experience
Dark mode
Improved Notes
Improved Docs:
- Remove all Streamlit references from documentation
- Update deployment guides with React frontend setup
- Fix Docker environment variables format (SURREAL_URL, SURREAL_PASSWORD)
- Update docker image tag from :latest to :v1-latest
- Change navigation references (Settings → Models to just Models)
- Update development setup to include frontend npm commands
- Add MIGRATION.md guide for users upgrading from Streamlit
- Update quick-start guide with correct environment variables
- Add port 5055 documentation for API access
- Update project structure to reflect frontend/ directory
- Remove outdated source-chat documentation files
