# Configuration Files This directory contains configuration files for AI-Trader-Server. These JSON configuration files define the parameters and settings used by the trading agents during execution. ## Files ### `default_config.json` The main configuration file that defines all system parameters. This file is loaded by `livebaseagent_config.py` and contains the following sections: #### Agent Configuration - **`agent_type`**: Specifies which agent class to use - **`agent_config`**: Agent-specific parameters - `max_steps`: Maximum number of reasoning steps per trading decision (default: 30) - `max_retries`: Maximum retry attempts for failed operations (default: 3) - `base_delay`: Base delay between operations in seconds (default: 1.0) - `initial_cash`: Starting cash amount for trading (default: $10,000) #### Date Range - **`date_range`**: Trading period configuration - `init_date`: Start date for trading simulation (format: YYYY-MM-DD) - `end_date`: End date for trading simulation (format: YYYY-MM-DD) #### Model Configuration - **`models`**: List of AI models to use for trading decisions - Each model entry contains: - `name`: Display name for the model - `basemodel`: Full model identifier/path - `signature`: Model signature for API calls - `enabled`: Boolean flag to enable/disable the model #### Logging Configuration - **`log_config`**: Logging parameters - `log_path`: Directory path where agent data and logs are stored ## Usage ### Default Configuration The system automatically loads `default_config.json` when no specific configuration file is provided: ```bash python livebaseagent_config.py ``` ### Custom Configuration You can specify a custom configuration file: ```bash python livebaseagent_config.py configs/my_custom_config.json ``` ### Environment Variable Overrides Certain configuration values can be overridden using environment variables: - `INIT_DATE`: Overrides the initial trading date - `END_DATE`: Overrides the end trading date ## Configuration Examples ### Minimal Configuration ```json { "agent_type": "BaseAgent", "date_range": { "init_date": "2025-01-01", "end_date": "2025-01-31" }, "models": [ { "name": "gpt-4o", "basemodel": "openai/gpt-4o-2024-11-20", "signature": "gpt-4o-2024-11-20", "enabled": true } ], "agent_config": { "max_steps": 10, "initial_cash": 5000.0 }, "log_config": { "log_path": "./data/agent_data" } } ``` ### Multi-Model Configuration ```json { "agent_type": "BaseAgent", "date_range": { "init_date": "2025-01-01", "end_date": "2025-01-31" }, "models": [ { "name": "claude-3.7-sonnet", "basemodel": "anthropic/claude-3.7-sonnet", "signature": "claude-3.7-sonnet", "enabled": true }, { "name": "gpt-4o", "basemodel": "openai/gpt-4o-2024-11-20", "signature": "gpt-4o-2024-11-20", "enabled": true }, { "name": "qwen3-max", "basemodel": "qwen/qwen3-max", "signature": "qwen3-max", "enabled": false } ], "agent_config": { "max_steps": 50, "max_retries": 5, "base_delay": 2.0, "initial_cash": 20000.0 }, "log_config": { "log_path": "./data/agent_data" } } ``` ## Notes - Configuration files must be valid JSON format - The system validates date ranges and ensures `init_date` is not greater than `end_date` - Only models with `enabled: true` will be used for trading simulations - Configuration errors will cause the system to exit with appropriate error messages - The configuration system supports dynamic agent class loading through the `AGENT_REGISTRY` mapping