remove: claude

.claude/CLAUDE.md

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-# CLAUDE.md
-
-This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
-
-## Project Overview
-
-Open Notebook is an open-source, privacy-focused alternative to Google's Notebook LM. It's a research assistant that allows users to manage research, generate AI-assisted notes, and interact with content through Streamlit UI and REST API, backed by SurrealDB.
-
-## Development Commands
-
-### Environment Setup
-```bash
-# Copy environment templates
-cp .env.example .env
-cp .env.example docker.env
-
-# Install dependencies
-uv sync
-uv pip install python-magic
-```
-
-### Running the Application
-```bash
-# Start SurrealDB (required)
-make database
-# or: docker compose up -d surrealdb
-
-# Start API backend (port 5055)
-make api
-# or: uv run run_api.py
-# or: uv run --env-file .env uvicorn api.main:app --host 0.0.0.0 --port 5055
-
-# Start Streamlit UI (port 8502)
-make run
-# or: uv run --env-file .env streamlit run app_home.py
-```
-
-### Code Quality
-```bash
-# Run linter with auto-fix
-make ruff
-# or: ruff check . --fix
-
-# Run type checking
-make lint
-# or: uv run python -m mypy .
-```
-
-### Docker Commands
-```bash
-# Full stack deployment
-docker compose --profile multi up
-
-# Build multi-platform image
-make docker-build
-
-# Release with version tag
-make docker-release
-```
-
-## Architecture Overview
-
-### Three-Layer Architecture
-1. **Frontend**: Streamlit UI (`app_home.py` and `/pages/`)
-2. **API**: FastAPI backend (`/api/`) on port 5055
-3. **Database**: SurrealDB graph database
-
-### Key Directories
-- `/open_notebook/domain/`: Domain models (notebook, models, transformation)
-- `/open_notebook/graphs/`: LangGraph processing (chat, ask, source, transformation)
-- `/open_notebook/database/`: SurrealDB repository pattern
-- `/api/`: REST API endpoints
-- `/pages/`: Streamlit UI pages
-- `/migrations/`: Database migrations
-
-### Data Storage
-- `/data/uploads/`: User-uploaded files
-- `/data/podcasts/`: Generated podcasts
-- `/data/sqlite-db/`: LangGraph checkpoints
-- `/surreal_data/`: SurrealDB files
-
-## AI Provider Integration
-
-The project uses the Esperanto library for multi-provider AI support:
-- Language models: OpenAI, Anthropic, Google, Groq, Ollama, Mistral, DeepSeek, xAI, OpenRouter
-- Embeddings: OpenAI, Google, Ollama, Mistral, Voyage
-- Speech: OpenAI, Groq, ElevenLabs, Google TTS
-
-Model configuration is centralized through `ModelManager` class in `/open_notebook/domain/models.py`.
-
-## Database Operations
-
-Uses SurrealDB with async operations:
-```python
-# Create record
-await repo_create(table: str, data: dict)
-
-# Upsert (merge) record
-await repo_upsert(table: str, record_id: Union[str, RecordID], data: dict)
-
-# Query
-await repo_query("SELECT * FROM table WHERE field = $value", {"value": "example"})
-
-# Delete
-await repo_delete(record_id)
-```
-
-### Database Migrations
-
-Database schema migrations run **automatically** when the API starts up. The migration system:
-- Uses `AsyncMigrationManager` from `/open_notebook/database/async_migrate.py`
-- Runs in the FastAPI `lifespan` event handler in `/api/main.py`
-- Checks current database version against available migrations in `/migrations/`
-- Executes pending migrations sequentially on startup
-- Tracks migration state in the `_sbl_migrations` table
-- Fails fast if migrations encounter errors (preventing API startup with outdated schema)
-
-**Important**: Database migrations are now handled by the API. The Streamlit UI migration check (`pages/stream_app/utils.py:check_migration()`) is deprecated and does nothing. Always ensure the API is running before using the React frontend or Streamlit UI.
-
-**Troubleshooting**:
-- If the API fails to start, check logs for migration errors
-- Verify SurrealDB is running: `docker compose ps surrealdb`
-- Check database connection settings in `.env`
-- Migration files must exist in `/migrations/` directory
-- For manual migration rollback, use down migration files (not automated)
-
-## Content Processing Pipeline
-
-1. Content ingestion (files, URLs, text) via `/open_notebook/graphs/source.py`
-2. Text extraction using Content-Core library
-3. Embedding generation for semantic search
-4. Transformation workflows in `/open_notebook/graphs/transformation.py`
-
-## Testing Approach
-
-Check README or search codebase for test configuration before running tests. The project uses `uv` for all Python operations.
-
-## API Documentation
-
-Interactive API docs available at http://localhost:5055/docs when API is running. Comprehensive endpoints for notebooks, sources, notes, search, models, transformations, and embeddings.

.claude/commands/quality.md

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-
-Please run the linter on the @frontend/ app
-
-And run ruff on the python files.