# EvoX - Label-guided Evolutionary Search Configuration
#
# EvoX is a co-evolutionary search strategy that uses label-guided
# exploration and exploitation to evolve programs.
#
# Usage:
#   Copy this file to your example directory as config_evox.yaml
#   and fill in the system_message with your problem description.

# General settings
max_iterations: 100
checkpoint_interval: 10
log_level: "INFO"
random_seed: 42

# LLM configuration
llm:
  models:
    - name: "gpt-5"
      weight: 1.0
  api_base: "https://api.openai.com/v1"
  temperature: 0.7
  # top_p: 0.95  # omitted by default; some providers (e.g. Anthropic) reject both temperature and top_p
  max_tokens: 32000
  timeout: 600
  # To use Gemini: comment out models + api_base above, uncomment below
  # models:
  #   - name: "gemini-3-pro-preview"
  # api_base: "https://generativelanguage.googleapis.com/v1beta/openai/"
  # api_key: ${GEMINI_API_KEY}

# Search configuration
search:
  type: "evox"
  database:
    auto_generate_variation_operators: true

# Prompt configuration
prompt:
  system_message: |
    <REPLACE WITH YOUR PROBLEM-SPECIFIC SYSTEM MESSAGE>

    Describe:
    - What the algorithm/function should do
    - Input/output format
    - Optimization objective and metrics
    - Constraints
    - Techniques to explore

# Evaluator configuration
evaluator:
  timeout: 360
  max_retries: 3
  cascade_evaluation: true
  cascade_thresholds: [0.3, 0.6]

# Generation settings
diff_based_generation: true
max_solution_length: 60000