Task System
The Task System provides a flexible framework for executing commands and managing task workflows across different operational modes. It integrates with voice systems, command acceleration, and streaming capabilities for varied use cases.
Core Components
TaskHandler Base Class
class TaskHandler:
async def execute_task(self, task: str):
"""Execute a single task with feedback"""
result = await self.computer_use.execute_command(task)
await self.voice_handler.speak(result)
return result
Operational Modes
Manual Mode (Current)
The default operational mode for direct command execution.
Features:
Single task execution with immediate feedback
Voice response integration
Command validation and error handling
Command acceleration support
Multi-modal input (text/voice) triggers
Auto Mode (Development)
Autonomous task execution with goal tracking and intelligent decision making.
Tank Mode (Entertainment)
Enhanced execution mode with streaming and interactive features.
Command Acceleration
The command accelerator enhances user inputs for better task execution:
pclass CommandAccelerator:
async def enhance_command(self, command: str) -> str:
"""Enhance command using GPT-4o for better execution"""
# Implementation details from provided code
Voice Integration
Voice handler integration for multi-modal interaction:
pythonCopyclass VoiceHandler:
async def process_voice_command(self, audio_input: bytes) -> str:
"""Convert voice input to task command"""
text = await self.speech_to_text(audio_input)
return await self.task_handler.execute_task(text, input_type="voice")
Configuration
Example configuration structure:
config = {
'task_system': {
'default_mode': 'manual',
'max_duration': 300,
'max_steps': 10,
'auto_retry': True,
'stream_enabled': False
},
'acceleration': {
'enabled': True,
'model': 'gpt-4o-mini',
'temperature': 0.7
}
}
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