config.yaml

# Configuration for function minimization example
max_iterations: 50
checkpoint_interval: 5

# LLM configuration
llm:
  # primary_model: "gemini-2.5-flash-lite"
  # primary_model: "llama3.1-8b"
  primary_model: "gpt-4.1-nano"
  primary_model_weight: 0.8
  # secondary_model: "gemini-2.5-flash"
  # secondary_model: "llama-4-scout-17b-16e-instruct"
  secondary_model_weight: 0.2
  secondary_model: "gpt-4.1"
  # api_base: "https://generativelanguage.googleapis.com/v1beta/openai/"
  # api_base: "https://api.cerebras.ai/v1"
  temperature: 0.7
  max_tokens: 16000
  timeout: 120

# Prompt configuration
prompt:
  system_message: "You are an expert programmer specializing in optimization algorithms. Your task is to improve a function minimization algorithm to find the global minimum of a complex function with many local minima. The function is f(x, y) = sin(x) * cos(y) + sin(x*y) + (x^2 + y^2)/20. Focus on improving the search_algorithm function to reliably find the global minimum, escaping local minima that might trap simple algorithms."
  num_top_programs: 3
  num_diverse_programs: 2

evolution_trace:
  enabled: true
  format: "jsonl"
  include_code: false
  include_prompts: true
# Database configuration
database:
  population_size: 50
  archive_size: 20
  num_islands: 1
  elite_selection_ratio: 0.2
  exploitation_ratio: 0.7

# Evaluator configuration
evaluator:
  timeout: 60
  cascade_thresholds: [1.3]
  parallel_evaluations: 1

# Evolution settings
diff_based_evolution: true
max_code_length: 20000