# CLAUDE.md This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. ## Keeping This File Up to Date Update this file whenever a lesson is learned during development. Specifically, update CLAUDE.md when: - A non-obvious architectural decision is made or discovered - A gotcha, footgun, or surprising behavior is encountered (and the fix/workaround) - A new command, workflow, or tool is added to the project - A convention is established that isn't obvious from reading the code - An integration detail is clarified (e.g., how the WebSocket protocol actually behaves, edge cases in the agent tool call cycle) Do **not** add things already derivable from reading the code, generic best practices, or ephemeral task notes — only durable, reusable knowledge. ## Repository Layout This repo contains two independent projects: - **`adiuva/`** — Electron desktop app (TypeScript/React) - **`adiuva-api/`** — FastAPI backend (Python) --- ## adiuva (Electron App) ### Commands ```bash npm run start # Start dev server (Electron + Vite) npm run lint # ESLint npm run knip # Dead code analysis npm run make # Build installers (Windows/Linux/macOS) npm run package # Package without creating installers ``` Database schema changes require running Drizzle Kit — check `package.json` for db commands. ### Architecture ``` Renderer (React 19 + TanStack Router) ↓ tRPC over contextBridge Main Process (Electron) ├── SQLite (better-sqlite3 + Drizzle ORM) — local app data ├── LanceDB — local vector embeddings └── WebSocket client → adiuva-api backend ``` **IPC model**: The renderer calls tRPC procedures defined in `src/main/router/`. The preload script (`src/preload/`) bridges them with `contextIsolation: true`. **Backend integration**: The Electron main process connects to the FastAPI backend via WebSocket. The backend sends tool calls (e.g., `insert`, `vector_search`) which the main process executes against local SQLite via Drizzle and returns results. All AI intelligence lives on the backend — the app is a smart terminal. **Key source directories**: - `src/main/agents/` — Agent scheduler - `src/main/ai/` — Orchestrator, token management - `src/main/db/` — SQLite schema (Drizzle) + LanceDB - `src/main/router/` — tRPC router (all IPC procedures) - `src/renderer/components/` — UI components (tasks, notes, projects, timeline, auth) - `src/renderer/routes/` — TanStack Router pages - `src/shared/` — Zod schemas shared between main/renderer (WebSocket frame types, casing utils) **Path aliases** (tsconfig): `@/*` → `src/renderer/`, `@shared/*` → `src/shared/` **WebSocket frame types** are defined in `src/shared/api-types.ts` using Zod. Client sends: `chat_request`, `floating_request`, `tool_result`. Server sends: `text_chunk`, `tool_call`, `final`, `ping`. --- ## adiuva-api (FastAPI Backend) ### Commands ```bash # Development uvicorn app.main:app --reload --host 0.0.0.0 --port 8000 # Production gunicorn app.main:app -k uvicorn.workers.UvicornWorker -w 4 --timeout 120 # Database migrations alembic upgrade head # Testing pytest pytest -v pytest tests/test_agents.py # single test file # Linting/formatting ruff check . ruff format . # Docker (full stack) docker compose up --build ``` ### Architecture ``` FastAPI app (app/main.py) ├── Middleware: RateLimiter → Sanitizer → CORS ├── HTTP Routes (app/api/routes/) │ ├── auth.py — register, login, token refresh │ ├── chat.py — POST /chat, POST /chat/embed, WS /chat/stream │ └── billing.py — Stripe subscriptions ├── Agent System (app/agents/) │ ├── task_agent.py — 8 tools │ ├── project_agent.py — 6 tools │ ├── timeline_agent.py — 4 tools │ └── note_agent.py — 5 tools └── Orchestration (app/core/) ├── agent_registry.py ├── agent_runner.py ├── llm.py — LiteLLM factory (100+ providers) └── memory_middleware.py ``` **LLM routing**: GPT-4o-mini classifies incoming intent → routes to appropriate domain agent → agent uses GPT-4o with its tool set → sends tool calls back to Electron client for local execution. **Zero-trust data model**: The backend never decrypts user data. PostgreSQL stores only auth, billing, and metadata. All user content stays local on the Electron client. **Tier system**: Free / Pro / Power / Team — enforced in `app/api/middleware/rate_limit.py` (20–200 req/min sliding window) and `app/billing/tier_manager.py`. **Key config**: `app/config/settings.py` — all env vars via Pydantic Settings. Copy `.env.example` to `.env` for local dev. **Database**: PostgreSQL with async SQLAlchemy 2.0 + asyncpg. Migrations in `alembic/versions/`. Models in `app/models.py`, Pydantic schemas in `app/schemas.py`. **Testing**: pytest with pytest-asyncio. Fixtures in `tests/conftest.py`. Use in-memory SQLite for DB tests. --- ## Microservices Migration (In Progress) The monolith (`adiuva-api/app/`) is being split into independent services under `adiuva-api/services/`. Architectural decisions are tracked in repo memory (`/memories/repo/microservices-architecture.md`). ### Target Services (MVP) | Service | Owns | Scaling | |---------|------|---------| | **Auth** | JWT RS256 issuance, users, refresh_tokens, subscriptions | Stateless | | **WS Gateway** | WebSocket connections, Redis frame routing, device registry | Sticky (user_id) | | **Chat** | deep_agent, memory, domain agents (task/note/project/timeline), LLM | Stateless | | **Batch Agent** | agent_runner, journey builder, filesystem_agent, integrations (+ Langfuse tracing TODO) | Stateless | | **Billing** | Stripe, tier_manager | Stateless | **API Gateway**: Traefik with ForwardAuth → Auth `/verify`. Injects `X-User-Id`, `X-User-Email`, `X-User-Tier` headers. Downstream services trust these headers. ### Monorepo Structure ``` adiuva-api/ ├── shared/ ← SQLAlchemy models, Pydantic schemas, config, redis utils ├── services/ │ ├── auth/ │ ├── ws-gateway/ │ ├── chat/ │ ├── batch-agent/ │ └── billing/ ├── alembic/ ← Centralized migrations (shared DB) ├── docker-compose.yml └── traefik/ ``` ### Key Conventions - **shared/ module**: Imported by all services. Contains models, schemas, config, DB session factory, Redis client. Changes here affect all services — be careful. - **Redis is the glue**: WS Gateway ↔ Chat/Batch communication is entirely via Redis pub/sub and lists. See `/memories/repo/microservices-architecture.md` for channel naming. - **No JWT validation in downstream services**: Only Auth Service has the private key. Other services receive pre-validated identity via Traefik headers. - **Tool call round-trip**: Chat/Batch → publish `tool_call` to `ws:out:{user_id}` → WS Gateway forwards to Electron → Electron replies `tool_result` → WS Gateway LPUSH to `tool:result:{call_id}` → Chat/Batch BRPOP with 30s timeout. - **Migration strategy**: Strangler fig. Extract one service at a time. The monolith `app/` continues to work until all services are extracted. Don't delete monolith code until the service replacement is tested. - **Storage & Plugin services**: Removed from codebase. Will be re-evaluated in future feature planning. ### Commands (Microservices) ```bash # Full stack docker compose up --build # Single service dev (example: chat) docker compose up redis postgres auth cd services/chat && uvicorn app.main:app --reload --port 8002 # Migrations (still centralized) alembic upgrade head ```