# List of OpenRouter model identifiers to evaluate.
# Find identifiers at: https://openrouter.ai/docs#models
# Ensure the models support vision input.
openrouter_models:
  - "google/gemini-2.5-pro-preview-03-25"
  - "anthropic/claude-sonnet-4"
  - "google/gemini-2.5-flash-preview-05-20:thinking"
  - "openai/o3"
  - "openai/gpt-5"
  - "x-ai/grok-4-fast:free"
  - "google/gemini-3-pro-preview"
  # - "google/gemini-pro-vision" # Example - uncomment or add others
  # - "anthropic/claude-3-opus" # Example - check vision support and access
  # - "anthropic/claude-3-sonnet"
  # - "anthropic/claude-3-haiku"

# Path to the metadata JSONL file and base directory for image paths.
metadata_path: "images/metadata.jsonl"
images_base_dir: "images"

# Base directory where results for each model will be saved.
results_base_dir: "results"

# Optional: API request parameters
# Maximum tokens to generate in the response. Keep it low as we expect only numbers.
max_tokens: 10000
# Timeout for each API request in seconds.
# Set high enough for thinking models (o3, Gemini Flash Thinking) which can take longer.
request_timeout: 200
# Sampling temperature. 0 = deterministic (greedy decoding) for reproducibility.
temperature: 0