# Diagnostic agent configuration
# Usage: python inspect_attention.py diagnose --config configs/diagnostic.yaml

# Scene understanding
scene_model: "google/owlv2-base-patch16-ensemble"
segmentation_model: "facebook/sam-vit-base"
detection_confidence: 0.1

# Dataset diversity analysis
diversity_episodes: 10
diversity_frames_per_episode: 3

# Agent settings
max_hypotheses: 5
max_counterfactuals: 7
max_expensive_signals: 5
num_frames: 4

# Mandatory counterfactual tests (always run for cross-run comparability)
mandatory_counterfactual_tests:
  - background_substitution
  - object_relocation
  - task_string_swap
  - occlusion_targeted

# LLM settings (can also use env vars SMOLVLA_LLM_*)
# llm_provider: "anthropic"
# llm_model: "claude-sonnet-4-20250514"