watch_directories: ["code_flow_graph"]
ignored_patterns: ["venv", "**/__pycache__"]
chromadb_path: "./code_vectors_chroma"
max_graph_depth: 3
embedding_model: "all-mpnet-base-v2"
max_tokens: 256
language: "python"
llm_config:
api_key_env_var: "OPENAI_API_KEY"
base_url: "https://openrouter.ai/api/v1" # Default: OpenRouter
model: "x-ai/grok-4.1-fast" # Default model
max_tokens: 256 # Max tokens in LLM response per summary
concurrency: 2 # Number of parallel summary generation workers
# Smart filtering to reduce costs
min_complexity: 3 # Only summarize functions with complexity >= 3
min_nloc: 5 # Only summarize functions with >= 5 lines of code
skip_private: true # Skip functions starting with _ (private)
skip_test: true # Skip test functions (test_*, *_test)
prioritize_entry_points: true # Summarize entry points first
# Depth control
summary_depth: "standard" # "minimal", "standard", "detailed"
max_input_tokens: 2000 # Truncate function body if longer
