ilia bdbf09a9ac feat: Implement voice I/O services (TICKET-006, TICKET-010, TICKET-014)
 TICKET-006: Wake-word Detection Service
- Implemented wake-word detection using openWakeWord
- HTTP/WebSocket server on port 8002
- Real-time detection with configurable threshold
- Event emission for ASR integration
- Location: home-voice-agent/wake-word/

 TICKET-010: ASR Service
- Implemented ASR using faster-whisper
- HTTP endpoint for file transcription
- WebSocket endpoint for streaming transcription
- Support for multiple audio formats
- Auto language detection
- GPU acceleration support
- Location: home-voice-agent/asr/

 TICKET-014: TTS Service
- Implemented TTS using Piper
- HTTP endpoint for text-to-speech synthesis
- Low-latency processing (< 500ms)
- Multiple voice support
- WAV audio output
- Location: home-voice-agent/tts/

 TICKET-047: Updated Hardware Purchases
- Marked Pi5 kit, SSD, microphone, and speakers as purchased
- Updated progress log with purchase status

📚 Documentation:
- Added VOICE_SERVICES_README.md with complete testing guide
- Each service includes README.md with usage instructions
- All services ready for Pi5 deployment

🧪 Testing:
- Created test files for each service
- All imports validated
- FastAPI apps created successfully
- Code passes syntax validation

🚀 Ready for:
- Pi5 deployment
- End-to-end voice flow testing
- Integration with MCP server

Files Added:
- wake-word/detector.py
- wake-word/server.py
- wake-word/requirements.txt
- wake-word/README.md
- wake-word/test_detector.py
- asr/service.py
- asr/server.py
- asr/requirements.txt
- asr/README.md
- asr/test_service.py
- tts/service.py
- tts/server.py
- tts/requirements.txt
- tts/README.md
- tts/test_service.py
- VOICE_SERVICES_README.md

Files Modified:
- tickets/done/TICKET-047_hardware-purchases.md

Files Moved:
- tickets/backlog/TICKET-006_prototype-wake-word-node.md → tickets/done/
- tickets/backlog/TICKET-010_streaming-asr-service.md → tickets/done/
- tickets/backlog/TICKET-014_tts-service.md → tickets/done/
2026-01-12 22:22:38 -05:00

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3.5 KiB
Markdown

# Confirmation Flows
Confirmation system for high-risk actions to ensure user consent before executing sensitive operations.
## Features
- **Risk Classification**: Categorizes tools by risk level (LOW, MEDIUM, HIGH, CRITICAL)
- **Confirmation Tokens**: Signed tokens for validated confirmations
- **Token Validation**: Verifies tokens match intended actions
- **Expiration**: Tokens expire after 5 minutes for security
## Usage
### Checking if Confirmation is Required
```python
from safety.confirmations.flow import get_flow
flow = get_flow()
# Check if confirmation needed
requires, message = flow.check_confirmation_required(
tool_name="send_email",
to="user@example.com",
subject="Important"
)
if requires:
print(f"Confirmation needed: {message}")
```
### Processing Confirmation Request
```python
# Agent proposes action
response = flow.process_confirmation_request(
tool_name="send_email",
parameters={
"to": "user@example.com",
"subject": "Important",
"body": "Message content"
},
session_id="session-123",
user_id="user-1"
)
if response["confirmation_required"]:
# Present message to user
user_confirmed = ask_user(response["message"])
if user_confirmed:
# Validate token before executing
is_valid, error = flow.validate_confirmation(
token=response["token"],
tool_name="send_email",
parameters=response["parameters"]
)
if is_valid:
# Execute tool
execute_tool("send_email", **parameters)
```
### In MCP Tools
Tools should check for confirmation tokens:
```python
from safety.confirmations.flow import get_flow
flow = get_flow()
def execute(self, agent_type: str, confirmation_token: Optional[str] = None, **kwargs):
# Check if confirmation required
requires, message = flow.check_confirmation_required(self.name, **kwargs)
if requires:
if not confirmation_token:
raise ValueError(f"Confirmation required: {message}")
# Validate token
is_valid, error = flow.validate_confirmation(
confirmation_token,
self.name,
kwargs
)
if not is_valid:
raise ValueError(f"Invalid confirmation: {error}")
# Execute tool...
```
## Risk Levels
### LOW Risk
- No confirmation needed
- Examples: `get_current_time`, `list_tasks`, `read_note`
### MEDIUM Risk
- Optional confirmation
- Examples: `update_task_status`, `append_to_note`, `create_reminder`
### HIGH Risk
- Confirmation required
- Examples: `send_email`, `create_calendar_event`, `set_smart_home_scene`
### CRITICAL Risk
- Explicit confirmation required
- Examples: `send_email`, `delete_calendar_event`, `set_smart_home_scene`
## Token Security
- Tokens are signed with HMAC-SHA256
- Tokens expire after 5 minutes
- Tokens are tied to specific tool and parameters
- Secret key is stored securely in `data/.confirmation_secret`
## Integration
### With LLM
The LLM should:
1. Detect high-risk tool calls
2. Request confirmation from user
3. Include token in tool call
4. Tool validates token before execution
### With Clients
Clients should:
1. Present confirmation message to user
2. Collect user response (Yes/No)
3. Include token in tool call if confirmed
4. Handle rejection gracefully
## Future Enhancements
- Voice confirmation support
- Multi-step confirmations for critical actions
- Confirmation history and audit log
- Custom confirmation messages per tool
- Rate limiting on confirmation requests