config.yaml

# Configuration for function minimization using Claude Code CLI as the LLM backend.
# No API keys needed — authentication uses `claude login` (OAuth session).
#
# Prerequisites:
#   1. Install Claude Code CLI: npm install -g @anthropic-ai/claude-code
#   2. Authenticate: claude login
#
# Run:
#   python openevolve-run.py \
#     examples/claude_code_quickstart/initial_program.py \
#     examples/claude_code_quickstart/evaluator.py \
#     --config examples/claude_code_quickstart/config.yaml \
#     --iterations 50

max_iterations: 50
checkpoint_interval: 10

llm:
  provider: "claude_code"
  models:
    - name: "sonnet"
      weight: 0.8
      max_tokens: 16000
      timeout: 300
      max_budget_usd: 1.0
    - name: "haiku"
      weight: 0.2
      max_tokens: 8000
      timeout: 120
      max_budget_usd: 0.5
  retries: 3
  retry_delay: 5

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.

database:
  population_size: 50
  archive_size: 20
  num_islands: 3
  elite_selection_ratio: 0.2
  exploitation_ratio: 0.7
  similarity_threshold: 0.99

evaluator:
  timeout: 60
  cascade_thresholds: [1.3]
  parallel_evaluations: 3

diff_based_evolution: true
max_code_length: 20000