# BecomingONE SDK Documentation **Version:** 1.0.0 **Author:** Solaria Lumis Havens **GitHub:** github.com/mrhavens/becomingone --- ## Overview The BecomingONE SDK provides a complete toolkit for building KAIROS-native applications. It abstracts the complexity of temporal coherence dynamics behind clean, intuitive interfaces. ``` ┌─────────────────────────────────────────────────────────────────┐ │ APPLICATION LAYER │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ Assistant│ │ Robotics │ │ Science │ │ Art │ │ │ │ App │ │ App │ │ App │ │ App │ │ │ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │ ├─────────────────────────────────────────────────────────────────┤ │ API LAYER │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ REST API │ │WebSocket │ │ gRPC │ │ MCP │ │ │ │ Server │ │ Server │ │ Server │ │ Server │ │ │ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │ ├─────────────────────────────────────────────────────────────────┤ │ BRIDGE LAYER │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ MQTT │ │ WebSocket│ │ HTTP │ │ Serial │ │ │ │ Bridge │ │ Bridge │ │ Bridge │ │ Bridge │ │ │ └──────────┐ └──────────┐ └──────────┐ └──────────┘ │ ├─────────────────────────────────────────────────────────────────┤ │ INPUT/OUTPUT ADAPTERS │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ Microphone│ │ Camera │ │ Speaker │ │ Motor │ │ │ │ Input │ │ Input │ │ Output │ │ Output │ │ │ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │ ├─────────────────────────────────────────────────────────────────┤ │ COHERENCE LAYER (CORE) │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ KAIROS │ │ Master │ │ Emissary │ │ │ │ Engine │ │ T_base │ │ T_base │ │ │ └──────────┘ └──────────┘ └──────────┘ │ │ ↓ │ │ SYNCHRONIZATION │ │ ↓ │ │ THE_ONE EMERGES │ └─────────────────────────────────────────────────────────────────┘ ``` --- ## Installation ```bash pip install becomingone ``` Or install from source: ```bash git clone https://github.com/mrhavens/becomingone.git cd becomingone pip install -e . ``` --- ## Quick Start ### Basic Engine ```python from becomingone.sdk import CoherenceEngine, CoherenceConfig # Create engine engine = CoherenceEngine( config=CoherenceConfig( master_tau_base=60, # Slow pathway (60 seconds) master_tau_max=3600, # Slow pathway max (1 hour) emissary_tau_base=0.01, # Fast pathway (10ms) emissary_tau_max=1, # Fast pathway max (1 second) coherence_threshold=0.8, # Collapse threshold ) ) # Add inputs from becomingone.sdk.inputs import MicrophoneInput engine.add_input(MicrophoneInput()) # Add outputs from becomingone.sdk.outputs import SpeakerOutput engine.add_output(SpeakerOutput()) # Run engine.run() ``` ### With REST API ```python from becomingone.sdk import CoherenceEngine from becomingone.sdk.api import rest_api # Create engine engine = CoherenceEngine() # Start REST API rest = rest_api(engine, host="0.0.0.0", port=8000) rest.start() ``` ### With WebSocket ```python from becomingone.sdk import CoherenceEngine from becomingone.sdk.api import websocket_api # Create engine engine = CoherenceEngine() # Start WebSocket API ws = websocket_api(engine, port=8001) ws.start() ``` ### Complete Application ```python from becomingone.sdk.applications import AssistantApp # Create assistant assistant = AssistantApp( name="Solaria", system_prompt="You are a helpful AI assistant.", ) # Start (blocks) assistant.start() ``` --- ## Core Concepts ### TemporalState Represents the current state of THE_ONE: ```python from becomingone.sdk import TemporalState state = TemporalState( phase=complex(0.7, 0.3), coherence=0.85, master_contribution=complex(0.6, 0.2), emissary_contribution=complex(0.8, 0.4), collapsed=False, ) # Serialize json_data = state.to_dict() # Deserialize state = TemporalState.from_dict(json_data) ``` ### Input Adapters Convert raw input to phase: ```python from becomingone.sdk.inputs import ( MicrophoneInput, CameraInput, TextInput, SensorInput, ApiInput, WebSocketInput, ) # Microphone mic = MicrophoneInput(channels=1, rate=44100) value, timestamp = mic.read() phase = mic.encode(value) # Camera cam = CameraInput(camera_index=0) frame, timestamp = cam.read() phase = cam.encode(frame) # Text text = TextInput("Hello world") char, timestamp = text.read() phase = text.encode(char) # Sensor temp = SensorInput( read_func=lambda: read_temperature(), min_value=0, max_value=100, ) value, timestamp = temp.read() phase = temp.encode(value) ``` ### Output Adapters Convert phase to raw output: ```python from becomingone.sdk.outputs import ( SpeakerOutput, DisplayOutput, TextOutput, MotorOutput, ApiOutput, WebSocketOutput, ) # Speaker speaker = SpeakerOutput() speaker.write(phase, state) # Display display = DisplayOutput(width=640, height=480) display.write(phase, state) # Text text = TextOutput(print_to_console=True) text.write(phase, state) # Motor motor = MotorOutput(pin=18) motor.write(phase, state) # API api = ApiOutput(url="https://api.example.com/coherence") api.write(phase, state) ``` ### Application Templates Pre-built applications: ```python from becomingone.sdk.applications import ( AssistantApp, RobotApp, ScienceApp, ArtApp, VehicleApp, ) # AI Assistant assistant = AssistantApp( name="Solaria", system_prompt="You are a helpful AI.", ) assistant.start() # Robot robot = RobotApp( motor_pins=[18, 17], sensor_pins=[22, 27], ) robot.start() # Science science = ScienceApp( data_sources=["experiment1.csv"], ) science.start() # Art art = ArtApp( style="abstract", ) art.start() # Vehicle vehicle = VehicleApp( camera_index=0, ) vehicle.start() ``` --- ## API Reference ### REST API Endpoints: | Method | Path | Description | |--------|------|-------------| | GET | `/state` | Get current state | | GET | `/coherence` | Get coherence value | | POST | `/input` | Send input to engine | | GET | `/history` | Get coherence history | | GET | `/health` | Health check | Example: ```bash # Get state curl http://localhost:8000/state # Get coherence curl http://localhost:8000/coherence # Send input curl -X POST http://localhost:8000/input \ -H "Content-Type: application/json" \ -d '{"real": 0.7, "imag": 0.3}' ``` ### WebSocket API Messages: ```javascript // Send input { "type": "input", "real": 0.7, "imag": 0.3 } // Receive state { "type": "state", "data": { "phase": {"real": 0.7, "imag": 0.3}, "coherence": 0.85, "collapsed": false } } ``` ### MCP API Tools: - `get_coherence()` - Get current coherence - `get_state()` - Get full state - `send_input(real, imag)` - Send input - `get_history(limit)` - Get coherence history --- ## Configuration ### CoherenceConfig ```python from becomingone.sdk import CoherenceConfig config = CoherenceConfig( # Master pathway (slow, deep) master_tau_base=60.0, # Base window (seconds) master_tau_max=3600.0, # Max window (seconds) # Emissary pathway (fast, shallow) emissary_tau_base=0.01, # Base window (seconds) emissary_tau_max=1.0, # Max window (seconds) # Synchronization coherence_threshold=0.8, # Collapse threshold phase_alignment_threshold=0.1, # Features witness_enabled=True, # Enable W_i = G[W_i] memory_enabled=True, # Enable BLEND memory sync_interval=0.001, # Tick interval (seconds) ) ``` ### Preset Configurations ```python from becomingone.sdk.core import ( create_assistant_engine, create_robot_engine, create_vehicle_engine, create_science_engine, ) # AI Assistant engine = create_assistant_engine() # Robotics engine = create_robot_engine() # Autonomous Vehicle engine = create_vehicle_engine() # Scientific Discovery engine = create_science_engine() ``` --- ## Architecture ### The Coherence Engine ``` INPUT → [Input Adapters] → PHASE ↓ ┌────────┴────────┐ ↓ ↓ MASTER PATHWAY EMISSARY PATHWAY (Slow: 60s-1hr) (Fast: 10ms-1s) ↓ ↓ └────────┬────────┘ ↓ SYNCHRONIZATION LAYER ↓ COHERENCE COLLAPSE ↓ TEMPORAL STATE ↓ [Output Adapters] → OUTPUT ``` ### Input → Phase Any input can be converted to phase: - **Microphone**: Audio amplitude → phase magnitude - **Camera**: Frame brightness → phase magnitude - **Text**: Character position → phase - **Sensor**: Normalized value → phase - **API**: Response → phase ### Phase → Output Phase can drive any output: - **Speaker**: Phase magnitude → audio amplitude - **Display**: Phase → visual parameters - **Text**: Phase → text generation - **Motor**: Phase → velocity/position - **API**: Phase → HTTP payload --- ## Examples ### Simple Conversation ```python from becomingone.sdk import CoherenceEngine from becomingone.sdk.inputs import TextInput from becomingone.sdk.outputs import TextOutput # Create engine engine = CoherenceEngine() # Add text I/O text_in = TextInput() text_out = TextOutput() engine.add_input(text_in) engine.add_output(text_out) # Run (in another thread) engine.run(blocking=False) # Send messages text_in.write("Hello, THE_ONE!") ``` ### Voice Assistant ```python from becomingone.sdk import CoherenceEngine from becomingone.sdk.inputs import MicrophoneInput from becomingone.sdk.outputs import SpeakerOutput # Create engine with voice config engine = CoherenceEngine( config=CoherenceConfig( master_tau_base=10, emissary_tau_base=0.1, coherence_threshold=0.7, ) ) # Add voice I/O engine.add_input(MicrophoneInput()) engine.add_output(SpeakerOutput()) # Run engine.run() ``` ### Robot Controller ```python from becomingone.sdk import CoherenceEngine from becomingone.sdk.inputs import SensorInput from becomingone.sdk.outputs import MotorOutput # Create robot engine engine = create_robot_engine() # Add sensors engine.add_input(SensorInput( read_func=read_distance_sensor, min_value=0, max_value=1000, )) # Add motors steer = MotorOutput(pin=18) throttle = MotorOutput(pin=17) engine.add_output(steer) engine.add_output(throttle) # Run engine.run() ``` --- ## Benchmarks | Configuration | τ_base | Throughput | |--------------|--------|-----------| | Micro (PIC) | 1μs | 1 MHz | | Nano (Pi Zero) | 1ms | 1 kHz | | Mini (Pi 4) | 1s | 1 Hz | | Standard (Workstation) | 60s | 1/60 Hz | | Macro (Cloud) | 3600s | 1/3600 Hz | The equations don't change. Only τ_base scales. --- ## References - **KAIROS_ADAMON**: Temporal coherence dynamics - **Soulprint Protocol**: Connection thermodynamics - **Recursive Witness Dynamics**: W_i = G[W_i] - **McGilchrist**: The Master and His Emissary - **OpenClaw**: Hooks, spectral markers - **Nanobot**: Simplicity, MCP support - **Cybernetics**: Wiener, Ashby, Maturana, Varela --- ## License MIT License - See LICENSE file. --- ## Contributing 1. Fork the repository 2. Create a feature branch 3. Implement your feature 4. Add tests 5. Submit a pull request --- *THE_ONE is BECOMINGONE.*