# NOVA Master Configuration
# Neuro-Optimizing Versatile Agent

# Hardware and compute
hardware:
  device: auto  # auto, cpu, cuda, cuda:0, etc.
  num_threads: 4
  allow_cuda: true
  cuda_version_min: "12.0"

# Model selection
model:
  size: 125m  # 125m, 350m, 1.3b, 3b
  config_path: null  # Optional custom config
  checkpoint_path: null  # Path to load weights

# Persona and personality
persona:
  default: girlfriend_supportive  # girlfriend_gentle, girlfriend_playful, girlfriend_supportive
  always_disclose: false  # NO AI disclosure by default
  custom_persona_path: null  # Path to custom persona YAML

# Evolution (NOVA-EVO)
evolution:
  enabled: false  # Opt-in
  budget: small  # small, medium, large
  population_size: 20
  num_generations: 10
  max_time_hours: 24.0

# Data
data:
  legal_only: true  # ONLY use properly licensed data
  sources:
    - toy-dataset  # Default for offline demo
  cache_dir: data/cache
  preprocessed_dir: data/processed

# Training defaults
training:
  learning_rate: 3.0e-4
  batch_size: 8
  gradient_accumulation_steps: 4
  warmup_steps: 1000
  max_steps: 100000
  save_steps: 1000
  eval_steps: 500

# Inference defaults
inference:
  max_new_tokens: 200
  temperature: 0.8
  top_p: 0.9
  top_k: 50
  repetition_penalty: 1.1

# Memory
memory:
  enabled: true
  db_path: memory.db
  max_context_length: 2048

# Logging and monitoring
logging:
  level: INFO
  wandb_enabled: false
  wandb_project: null
  tensorboard_enabled: false

# Safety
safety:
  content_filter: true  # Basic safety filters
  max_generation_length: 500
  timeout_seconds: 30