# ============================================================
# Study 1: The Effect of Oversight on Deception
# ============================================================
# Design: 3 models × 1 scenario × 1 goal_type (bare) × 3 oversight × n=30
# Total:  3 × 1 × 1 × 3 × 30 = 270 runs (+ 3 baselines)
# ============================================================

defaults:
  temperature: 1.0
  include_reasoning_in_context: true
  generate_baseline: true

# Provider configurations
providers:
  openrouter:
    api_key_env: OPENROUTER_API_KEY
    base_url: https://openrouter.ai/api/v1

# Models: 3 frontier models with reasoning traces
models:
  - id: google/gemini-3.1-pro-preview
    provider: openrouter
    extra_body:
      reasoning:
        effort: "high"
        exclude: false

  - id: z-ai/glm-5.1:nitro # nitro for faster infrence
    provider: openrouter
    extra_body:
      reasoning:
        effort: "high"
        exclude: false

  - id: deepseek/deepseek-v3.2:nitro # nitro for faster infrence
    provider: openrouter
    extra_body:
      reasoning:
        effort: "high"
        exclude: false

# Study 1: bare framing ONLY (isolates oversight as the IV)
goal_types:
  - bare

# Single scenario
scenarios:
  - path: scenarios/corporate_sabotage_v2
    runs: 30

# All 3 oversight levels (the independent variable)
oversight_levels:
  - low
  - mid
  - high

# Parallel execution
execution:
  max_workers: 5

# Output to dedicated study directory
output:
  dir: logs/v2_study1

# Judge configuration (validated — see notes/v2_redesign/07_judge_validation_results.md)
judge:
  log_dir: logs/v2_study1_judge

  blackbox:
    model: grok-4-1-fast-reasoning
    provider: xai
    temperature: 0

  glassbox:
    model: gpt-4.1
    provider: openai
    temperature: 0

# Logging
logging:
  level: 3
  format: "[{level}] {message}"
  output: both
  file: logs/v2_study1/experiment.log