# TASK-001: Phase 1 - Core Services ## Status - **State**: completed - **Priority**: P0 - **Cell**: board ## Dates - **Created**: 2025-12-09 - **Completed**: 2025-12-09 ## Overview Implement Phase 1 of the RoboCo system per HOMELAB_TEAM_V0.md blueprint: - Database schema - Messaging API - Agent framework - Infrastructure setup ## Acceptance Criteria - [x] Database schema designed and implemented - [x] Messaging API (REST) functional - [x] Agent base class created - [x] Simple orchestrator built - [x] PostgreSQL configured - [x] Redis configured ## What Was Built ### 1. Project Configuration - `pyproject.toml` - Dependencies, ruff, mypy, pytest config - `docker-compose.yml` - PostgreSQL, Redis, Qdrant - `.env.example` - Environment template - `alembic/` - Migration setup ### 2. Data Models (`roboco/models/`) | File | Models | |------|--------| | `base.py` | All enums (TaskStatus, AgentRole, Team, etc.) | | `task.py` | Task, TaskPlan, Checkpoint, CommitRef | | `agent.py` | Agent, ModelConfig, AgentPermissions | | `session.py` | Session, SessionConfig | | `message.py` | ExtractedMessage, RawStream | | `group.py` | Group | | `channel.py` | Channel | | `notification.py` | Notification | | `journal.py` | Journal, JournalEntry | | `handoff.py` | DocumenterHandoff | ### 3. Database Layer (`roboco/db/`) - `base.py` - Async SQLAlchemy engine, session factory - `tables.py` - All ORM table definitions (10 tables) ### 4. Configuration (`roboco/config.py`) - Environment-based settings via pydantic-settings - Database, Redis, Qdrant, LLM provider configs ### 5. Messaging API (`roboco/api/`) | Route | Endpoints | |-------|-----------| | `health.py` | `/health`, `/ready` | | `channels.py` | CRUD for channels, member management | | `sessions.py` | Session lifecycle | | `messages.py` | Send, edit, delete messages | | `notifications.py` | Send, list, acknowledge | ### 6. WebSocket (`roboco/api/websocket.py`) - `/ws/channels/{id}` - Channel stream - `/ws/agents/{id}` - Agent output stream - `/ws/sessions/{id}` - Session stream - ConnectionManager for broadcasting ### 7. Agent Framework (`roboco/agents/`) - `base.py` - Agent base class with lifecycle, LLM stubs - `orchestrator.py` - Spawn/stop agents, health monitoring ## File Structure ``` roboco/ ├── __init__.py ├── config.py ├── models/ │ ├── __init__.py │ ├── base.py, task.py, agent.py, session.py │ ├── message.py, group.py, channel.py │ ├── notification.py, journal.py, handoff.py │ └── README.md ├── db/ │ ├── __init__.py │ ├── base.py │ └── tables.py ├── api/ │ ├── __init__.py │ ├── app.py │ ├── deps.py │ ├── websocket.py │ └── routes/ │ ├── __init__.py │ ├── health.py │ ├── channels.py │ ├── sessions.py │ ├── messages.py │ └── notifications.py └── agents/ ├── __init__.py ├── base.py └── orchestrator.py ``` ## Next Steps (Phase 2: Communication) Per HOMELAB_TEAM_V0.md section 13.4: - [ ] Transcription service (extract messages from LLM streams) - [ ] Message extraction pipeline - [ ] Permission system ## Quick Context Restore Phase 1 core services complete. Database schema, Messaging API, and Agent framework are functional. WebSocket streaming is in place. Ready for Phase 2 which adds transcription/extraction pipelines to process agent LLM output into structured messages.