Frontend (items 1-10):
- WebSocket streaming integration with useWebSocket hook
- Admin Dashboard UI (status, voices, agents, governance tabs)
- Voice playback UI (TTS/STT integration)
- Settings/Preferences page (conversation style, sliders)
- Responsive/mobile layout (breakpoints at 480px, 768px)
- Dark/light theme with CSS variables and localStorage
- Error handling & loading states (retry, empty state, disabled input)
- Authentication UI (login page, Bearer token, logout)
- Head visualization improvements (active/speaking states, animations)
- Consequence/Ethics dashboard (lessons, consequences, insights tabs)
Backend stubs (items 11-21):
- Tool connectors: DocsConnector (text/md/PDF), DBConnector (SQLite/Postgres), CodeRunnerConnector (Python/JS/Bash/Ruby sandboxed)
- STT adapter: WhisperSTTAdapter, AzureSTTAdapter
- Multi-modal interface adapters: Visual, Haptic, Gesture, Biometric
- SSE streaming endpoint (/v1/sessions/{id}/stream/sse)
- Multi-tenant support (X-Tenant-ID header, tenant CRUD)
- Plugin marketplace/registry (register, install, list)
- Backup/restore endpoints
- Versioned API negotiation (Accept-Version header, deprecation)
Infrastructure (items 22-26):
- docker-compose.yml (API + Postgres + Redis + frontend)
- .env.example with all configurable vars
- gunicorn.conf.py production ASGI config
- Prometheus metrics collector and /metrics endpoint
- Structured JSON logging configuration
Documentation (items 27-29):
- Architecture docs with module layout and subsystem descriptions
- Quickstart guide with setup, API tour, and test instructions
Tests (items 30-32):
- Integration tests: 25 end-to-end API tests
- Frontend tests: 10 Vitest tests for hooks (useTheme, useAuth)
- Load/performance tests: latency and throughput benchmarks
- Connector tests: 16 tests for Docs, DB, CodeRunner
- Multi-modal adapter tests: 9 tests
- Metrics collector tests: 5 tests
- STT adapter tests: 2 tests
511 Python tests passing, 10 frontend tests passing, 0 ruff errors.
Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
2.3 KiB
2.3 KiB
FusionAGI Quickstart Guide
Prerequisites
- Python 3.10+
- Node.js 20+ (for frontend)
- Git
Installation
# Clone the repository
git clone https://gitea.d-bis.org/d-bis/FusionAGI.git
cd FusionAGI
# Install Python dependencies (dev + API extras)
pip install -e ".[dev,api]"
# Install frontend dependencies
cd frontend && npm install && cd ..
Configuration
# Copy environment template
cp .env.example .env
# Edit .env with your settings:
# - OPENAI_API_KEY for LLM support
# - FUSIONAGI_API_KEY for API authentication (optional)
Running the API
# Development
python -m uvicorn fusionagi.api.app:app --reload --port 8000
# Production
gunicorn fusionagi.api.app:app -c gunicorn.conf.py
API docs available at: http://localhost:8000/docs
Running the Frontend
cd frontend
npm run dev
Frontend available at: http://localhost:5173
Using Docker Compose
# Start full stack (API + Postgres + Redis + Frontend)
docker compose up -d
# View logs
docker compose logs -f api
Quick API Tour
Create a session
curl -X POST http://localhost:8000/v1/sessions \
-H "Content-Type: application/json" \
-d '{"user_id": "demo"}'
Send a prompt
curl -X POST http://localhost:8000/v1/sessions/{session_id}/prompt \
-H "Content-Type: application/json" \
-d '{"prompt": "Explain quantum computing"}'
Stream a response (SSE)
curl -N -X POST http://localhost:8000/v1/sessions/{session_id}/stream/sse \
-H "Content-Type: application/json" \
-d '{"prompt": "Write a poem about AI"}'
Check system status
curl http://localhost:8000/v1/admin/status
Frontend Pages
| Page | Description |
|---|---|
| Chat | Main conversation interface with 12-head reasoning display |
| Admin | System monitoring, voice library, agent configuration |
| Ethics | Consequence tracking, ethical lessons, cross-head insights |
| Settings | Theme, conversation style, and personality preferences |
Running Tests
# Python tests
pytest tests/ -q --tb=short
# Lint
ruff check fusionagi/ tests/
# Type check
mypy fusionagi/ --strict
# Frontend build check
cd frontend && npx tsc --noEmit
Architecture
See docs/architecture.md for the full system architecture.