config.example.yaml

# Neuron-Loop Configuration
# Copy to config.yaml and adjust for your setup.
#
# Models are loaded from OpenClaw's models.json automatically.
# You only need to specify provider name + model ID here.
# API keys come from your OpenClaw config — no secrets in this file.

# ─── Model Tiers ────────────────────────────────────────────
tiers:
  # The model that writes fixes (use your strongest model)
  coder:
    model: "anthropic/claude-opus-4-6"

  # Tier 1: Deep reviewers (high quality, may cost money)
  # Run in parallel. Cross-referenced for confidence.
  tier1:
    - provider: anthropic
      model: "claude-sonnet-4-6"
      label: "sonnet"
    - provider: openai
      model: "gpt-5.4"
      label: "gpt54"

  # Tier 2: Sweep reviewers (cheaper/free, broader coverage)
  # Higher false positive rate (~30%), but occasionally catch
  # things Tier 1 models miss.
  tier2:
    - provider: ollama-cloud
      model: "glm-5:cloud"
      label: "glm5"
    - provider: openrouter
      model: "auto"
      label: "openrouter"
    # - provider: xai
    #   model: "grok-4-1-fast-reasoning"
    #   label: "grok"

# ─── Gate Rules ─────────────────────────────────────────────
# How findings are triaged across models.
gate:
  # Findings from N+ models → auto-fix (no debate)
  auto_fix_threshold: 2
  # Finding from 1 Tier 1 model → fix (assess carefully)
  tier1_single_action: "fix"
  # Finding from 1 Tier 2 model only → skip unless CRITICAL
  tier2_single_action: "skip_unless_critical"

# ─── Loop Limits ────────────────────────────────────────────
loop:
  max_iterations: 10
  convergence_threshold: 0   # Stop when ≤ N findings remain
  timeout_seconds: 3600

# ─── Test Configuration ────────────────────────────────────
test:
  # Shell command to run tests. Exit 0 = pass.
  command: ""
  before_review: true
  after_fix: true

# ─── Output ─────────────────────────────────────────────────
output:
  dir: "./output"
  keep_intermediates: true
  verbose: true