# Codette Configuration Guide ## Core Configuration ### Environment Variables ```bash # Core settings PYTHONPATH="path/to/Codette/src" LOG_LEVEL="INFO" # DEBUG, INFO, WARNING, ERROR # API tokens (optional) HUGGINGFACEHUB_API_TOKEN="your_token" ``` ### System Configuration (`config.json`) ```json { "host": "127.0.0.1", "port": 8000, "model_name": "gpt2-large", "quantum_fluctuation": 0.07, "spiderweb_dim": 5, "recursion_depth": 4, "perspectives": [ "Newton", "DaVinci", "Ethical", "Quantum", "Memory" ] } ``` ## Quantum System Configuration ### Spiderweb Parameters - `node_count`: 128 (default) - `activation_threshold`: 0.3 - `dimensions`: ['Ψ', 'τ', 'χ', 'Φ', 'λ'] ### Perspective Settings ```python PERSPECTIVES = { "newton": { "name": "Newton", "description": "analytical and mathematical perspective", "prefix": "Analyzing this logically and mathematically:", "temperature": 0.3 }, "davinci": { "name": "Da Vinci", "description": "creative and innovative perspective", "prefix": "Considering this with artistic and innovative insight:", "temperature": 0.9 }, # ... other perspectives } ``` ### Quantum State Configuration ```python quantum_state = { "coherence": 0.5, # Base quantum coherence "fluctuation": 0.07, # Random fluctuation range "spiderweb_dim": 5, # Number of dimensions "recursion_depth": 4, # Max recursion in processing "perspectives": [...] # Active perspectives } ``` ## Memory System Configuration ### Cocoon Settings ```python COCOON_CONFIG = { "base_dir": "./cocoons", # Cocoon storage directory "max_cocoons": 1000, # Maximum stored cocoons "cleanup_interval": 3600, # Cleanup interval (seconds) "encryption": True # Enable encryption } ``` ### History Settings ```python HISTORY_CONFIG = { "max_length": 10, # Max conversation history "context_window": 5, # Context window size "min_confidence": 0.3, # Min confidence threshold "max_recursion": 3 # Max processing recursion } ``` ## Pattern System Configuration ### Pattern Categories ```python PATTERN_CATEGORIES = { "thinking": { "frequency": 0.7, # Usage frequency "context_required": True # Context sensitivity }, "follow_up": { "frequency": 0.5, "context_required": False }, "transition": { "frequency": 0.3, "context_required": True } } ``` ### Response Integration ```python RESPONSE_CONFIG = { "max_length": 500, # Max response length "min_confidence": 0.3, # Min confidence threshold "pattern_chance": 0.15, # Pattern inclusion chance "transition_threshold": 2 # Min perspectives for transition } ``` ## Advanced Settings ### Model Configuration Supported models in fallback chain: 1. Mistral-7B-Instruct - 8-bit quantization - fp16 precision - 16GB+ VRAM required 2. Phi-2 - fp16 precision - 8GB+ VRAM required 3. GPT-2 - Base configuration - Minimal requirements ### Performance Tuning ```python PERFORMANCE_CONFIG = { "batch_size": 1, # Processing batch size "max_workers": 4, # Max concurrent workers "cache_size": 1000, # Pattern cache size "cleanup_threshold": 0.8 # Memory cleanup threshold } ``` ### Debug Configuration ```python DEBUG_CONFIG = { "verbose_logging": False, # Detailed logging "trace_quantum": False, # Quantum state tracing "save_tensors": False, # Save tension states "profile_memory": False # Memory profiling } ``` ## Example Configurations ### Basic Setup ```json { "host": "127.0.0.1", "port": 8000, "quantum_fluctuation": 0.07, "spiderweb_dim": 5, "perspectives": ["Newton", "DaVinci", "Ethical"] } ``` ### Advanced Setup ```json { "host": "127.0.0.1", "port": 8000, "quantum_fluctuation": 0.07, "spiderweb_dim": 5, "recursion_depth": 4, "perspectives": [ "Newton", "DaVinci", "Ethical", "Quantum", "Memory" ], "advanced_features": { "pattern_integration": true, "quantum_enhancement": true, "memory_persistence": true, "dynamic_confidence": true }, "memory_config": { "max_cocoons": 1000, "cleanup_interval": 3600 }, "pattern_config": { "use_transitions": true, "pattern_frequency": 0.15 } } ```