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AI-Trader/configs/README.md
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Update project name from 'AI-Trader Bench' to 'AI-Trader-Server' in
configuration documentation

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# 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