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222 lines
4.8 KiB
Markdown
222 lines
4.8 KiB
Markdown
# RoboCo Usage Guide
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Operating the AI company after deployment.
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## The Organization
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18 AI agents organized as a company:
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```
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CEO (You)
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└── Board
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├── Product Owner
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├── Head of Marketing
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└── Auditor
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└── Main PM
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├── Backend Cell (PM, 2 Devs, QA, Documenter)
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├── Frontend Cell (PM, 2 Devs, QA, Documenter)
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└── UX/UI Cell (PM, Dev, QA, Documenter)
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```
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## Agent IDs
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| ID | Role | Team |
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|----|------|------|
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| `main-pm` | Main PM | Management |
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| `be-pm` | Cell PM | Backend |
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| `be-dev-1`, `be-dev-2` | Developers | Backend |
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| `be-qa` | QA | Backend |
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| `be-doc` | Documenter | Backend |
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| `fe-pm` | Cell PM | Frontend |
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| `fe-dev-1`, `fe-dev-2` | Developers | Frontend |
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| `fe-qa` | QA | Frontend |
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| `fe-doc` | Documenter | Frontend |
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| `ux-pm` | Cell PM | UX/UI |
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| `ux-dev-1`, `ux-dev-2` | Developers | UX/UI |
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| `ux-qa` | QA | UX/UI |
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| `ux-doc` | Documenter | UX/UI |
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| `product-owner` | Product Owner | Board |
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| `head-marketing` | Head of Marketing | Board |
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| `auditor` | Auditor | Board |
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## Spawning Agents
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```bash
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# Start with minimal team
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uv run python -m roboco.cli --spawn main-pm be-dev-1 be-qa
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# Add more agents
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uv run python -m roboco.cli --spawn main-pm be-pm be-dev-1 be-dev-2 be-qa
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# Full organization
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uv run python -m roboco.cli --spawn \
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main-pm \
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be-pm be-dev-1 be-dev-2 be-qa be-doc \
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fe-pm fe-dev-1 fe-dev-2 fe-qa fe-doc \
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ux-pm ux-dev-1 ux-dev-2 ux-qa ux-doc \
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product-owner head-marketing auditor
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```
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## Monitoring Agents
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### Check Status
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```bash
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# Via API
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curl http://localhost:8000/api/v1/orchestrator/status | jq
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# Via Docker
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docker ps --filter "name=roboco-agent"
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```
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### View Agent Logs
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```bash
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# Follow specific agent's output
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docker logs -f roboco-agent-be-dev-1
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# All agent containers
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docker ps --filter "name=roboco-agent" --format "{{.Names}}"
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```
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### Container Management
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```bash
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# Stop one agent
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docker stop roboco-agent-be-dev-1
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# Restart an agent
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docker restart roboco-agent-be-dev-1
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# Stop all agents
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docker ps --filter "name=roboco-agent" -q | xargs docker stop
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```
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## Creating Tasks
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```bash
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curl -X POST http://localhost:8000/api/v1/tasks \
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-H "Content-Type: application/json" \
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-d '{
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"title": "Implement user authentication",
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"description": "Add JWT-based auth to the API",
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"team": "backend",
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"complexity": "medium",
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"acceptance_criteria": [
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"Users can register",
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"Users can login",
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"Protected routes require valid JWT"
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]
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}'
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```
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## Task Lifecycle
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```
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pending → claimed → in_progress → verifying → awaiting_qa → awaiting_docs → completed
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↓
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blocked/paused
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```
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Agents automatically:
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1. Scan for pending tasks (`roboco_task_scan`)
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2. Claim tasks they can work on
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3. Follow the workflow: UNDERSTAND → PLAN → EXECUTE → VERIFY → NOTES
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4. Submit for QA when done
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5. Move to next task
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## API Endpoints
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| Endpoint | Description |
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|----------|-------------|
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| `GET /health` | Health check |
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| `GET /docs` | Swagger UI |
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| `GET /api/v1/orchestrator/status` | Agent states |
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| `GET /api/v1/tasks` | List tasks |
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| `POST /api/v1/tasks` | Create task |
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| `GET /api/v1/tasks/{id}` | Task details |
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## Viewing the API
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Open http://localhost:8000/docs in your browser for the Swagger UI.
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## Common Workflows
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### Start a Development Session
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```bash
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# 1. Start infrastructure
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docker compose up -d
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# 2. Run migrations (if needed)
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uv run alembic upgrade head
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# 3. Start with a small team
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uv run python -m roboco.cli --spawn main-pm be-dev-1 be-qa
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```
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### Create and Monitor a Task
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```bash
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# Create task
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curl -X POST http://localhost:8000/api/v1/tasks \
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-H "Content-Type: application/json" \
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-d '{"title": "Fix login bug", "team": "backend", "complexity": "trivial"}'
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# Watch agent pick it up
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docker logs -f roboco-agent-be-dev-1
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```
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### Shutdown
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```bash
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# Stop orchestrator (Ctrl+C in terminal)
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# Stop agent containers
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docker ps --filter "name=roboco-agent" -q | xargs docker stop
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# Stop infrastructure
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docker compose down
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```
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## Tips
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### Start Small
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Don't spawn all 18 agents at once. Start with:
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1. `main-pm` alone - verify spawning works
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2. Add `be-dev-1` - verify task claiming
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3. Add `be-qa` - verify full workflow
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### Check Agent Health
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```bash
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# Quick status
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curl -s http://localhost:8000/api/v1/orchestrator/status | jq '.agents'
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# Detailed container info
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docker inspect roboco-agent-be-dev-1
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```
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### Debug an Agent
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```bash
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# View full logs
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docker logs roboco-agent-be-dev-1
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# Attach to container (read-only)
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docker logs -f roboco-agent-be-dev-1
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```
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### Resource Usage
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Each agent container uses ~500MB-2GB RAM depending on context. With 128GB RAM:
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- 3 agents: ~6GB
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- 6 agents: ~12GB
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- 18 agents: ~36GB
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Monitor with:
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```bash
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docker stats --filter "name=roboco-agent"
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```
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