docs: restructure documentation for improved clarity and navigation

Reorganize documentation into user-focused, developer-focused, and deployment-focused sections.

**New structure:**
- Root: README.md (streamlined), QUICK_START.md, API_REFERENCE.md
- docs/user-guide/: configuration, API usage, integrations, troubleshooting
- docs/developer/: contributing, development setup, testing, architecture
- docs/deployment/: Docker deployment, production checklist, monitoring
- docs/reference/: environment variables, MCP tools, data formats

**Changes:**
- Streamline README.md from 831 to 469 lines
- Create QUICK_START.md for 5-minute onboarding
- Create API_REFERENCE.md as single source of truth for API
- Remove 9 outdated specification docs (v0.2.0 API design)
- Remove DOCKER_API.md (content consolidated into new structure)
- Remove docs/plans/ directory with old design documents
- Update CLAUDE.md with documentation structure guide
- Remove orchestration-specific references

**Benefits:**
- Clear entry points for different audiences
- No content duplication
- Better discoverability through logical hierarchy
- All content reflects current v0.3.0 API
This commit is contained in:
2025-11-01 10:40:57 -04:00
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# Configuration Guide
Complete guide to configuring AI-Trader.
---
## Environment Variables
Set in `.env` file in project root.
### Required Variables
```bash
# OpenAI API (or compatible endpoint)
OPENAI_API_KEY=sk-your-key-here
# Alpha Vantage (price data)
ALPHAADVANTAGE_API_KEY=your-key-here
# Jina AI (market intelligence search)
JINA_API_KEY=your-key-here
```
### Optional Variables
```bash
# API Server Configuration
API_PORT=8080 # Host port mapping (default: 8080)
API_HOST=0.0.0.0 # Bind address (default: 0.0.0.0)
# OpenAI Configuration
OPENAI_API_BASE=https://api.openai.com/v1 # Custom endpoint
# Simulation Limits
MAX_CONCURRENT_JOBS=1 # Max simultaneous jobs (default: 1)
MAX_SIMULATION_DAYS=30 # Max date range per job (default: 30)
# Price Data Management
AUTO_DOWNLOAD_PRICE_DATA=true # Auto-fetch missing data (default: true)
# Agent Configuration
AGENT_MAX_STEP=30 # Max reasoning steps per day (default: 30)
# Volume Paths
VOLUME_PATH=. # Base directory for data (default: .)
# MCP Service Ports (usually don't need to change)
MATH_HTTP_PORT=8000
SEARCH_HTTP_PORT=8001
TRADE_HTTP_PORT=8002
GETPRICE_HTTP_PORT=8003
```
---
## Model Configuration
Edit `configs/default_config.json` to define available AI models.
### Configuration Structure
```json
{
"agent_type": "BaseAgent",
"date_range": {
"init_date": "2025-01-01",
"end_date": "2025-01-31"
},
"models": [
{
"name": "GPT-4",
"basemodel": "openai/gpt-4",
"signature": "gpt-4",
"enabled": true
}
],
"agent_config": {
"max_steps": 30,
"max_retries": 3,
"initial_cash": 10000.0
},
"log_config": {
"log_path": "./data/agent_data"
}
}
```
### Model Configuration Fields
| Field | Required | Description |
|-------|----------|-------------|
| `name` | Yes | Display name for the model |
| `basemodel` | Yes | Model identifier (e.g., `openai/gpt-4`, `anthropic/claude-3.7-sonnet`) |
| `signature` | Yes | Unique identifier used in API requests and database |
| `enabled` | Yes | Whether this model runs when no models specified in API request |
| `openai_base_url` | No | Custom API endpoint for this model |
| `openai_api_key` | No | Model-specific API key (overrides `OPENAI_API_KEY` env var) |
### Adding Custom Models
**Example: Add Claude 3.7 Sonnet**
```json
{
"models": [
{
"name": "Claude 3.7 Sonnet",
"basemodel": "anthropic/claude-3.7-sonnet",
"signature": "claude-3.7-sonnet",
"enabled": true,
"openai_base_url": "https://api.anthropic.com/v1",
"openai_api_key": "your-anthropic-key"
}
]
}
```
**Example: Add DeepSeek via OpenRouter**
```json
{
"models": [
{
"name": "DeepSeek",
"basemodel": "deepseek/deepseek-chat",
"signature": "deepseek",
"enabled": true,
"openai_base_url": "https://openrouter.ai/api/v1",
"openai_api_key": "your-openrouter-key"
}
]
}
```
### Agent Configuration
| Field | Description | Default |
|-------|-------------|---------|
| `max_steps` | Maximum reasoning iterations per trading day | 30 |
| `max_retries` | Retry attempts on API failures | 3 |
| `initial_cash` | Starting capital per model | 10000.0 |
---
## Port Configuration
### Default Ports
| Service | Internal Port | Host Port (configurable) |
|---------|---------------|--------------------------|
| API Server | 8080 | `API_PORT` (default: 8080) |
| MCP Math | 8000 | Not exposed to host |
| MCP Search | 8001 | Not exposed to host |
| MCP Trade | 8002 | Not exposed to host |
| MCP Price | 8003 | Not exposed to host |
### Changing API Port
If port 8080 is already in use:
```bash
# Add to .env
echo "API_PORT=8889" >> .env
# Restart
docker-compose down
docker-compose up -d
# Access on new port
curl http://localhost:8889/health
```
---
## Volume Configuration
Docker volumes persist data across container restarts:
```yaml
volumes:
- ./data:/app/data # Database, price data, agent data
- ./configs:/app/configs # Configuration files
- ./logs:/app/logs # Application logs
```
### Data Directory Structure
```
data/
├── jobs.db # SQLite database
├── merged.jsonl # Cached price data
├── daily_prices_*.json # Individual stock data
├── price_coverage.json # Data availability tracking
└── agent_data/ # Agent execution data
└── {signature}/
├── position/
│ └── position.jsonl # Trading positions
└── log/
└── {date}/
└── log.jsonl # Trading logs
```
---
## API Key Setup
### OpenAI API Key
1. Visit [platform.openai.com/api-keys](https://platform.openai.com/api-keys)
2. Create new key
3. Add to `.env`:
```bash
OPENAI_API_KEY=sk-...
```
### Alpha Vantage API Key
1. Visit [alphavantage.co/support/#api-key](https://www.alphavantage.co/support/#api-key)
2. Get free key (5 req/min) or premium (75 req/min)
3. Add to `.env`:
```bash
ALPHAADVANTAGE_API_KEY=...
```
### Jina AI API Key
1. Visit [jina.ai](https://jina.ai/)
2. Sign up for free tier
3. Add to `.env`:
```bash
JINA_API_KEY=...
```
---
## Configuration Examples
### Development Setup
```bash
# .env
API_PORT=8080
MAX_CONCURRENT_JOBS=1
MAX_SIMULATION_DAYS=5 # Limit for faster testing
AUTO_DOWNLOAD_PRICE_DATA=true
AGENT_MAX_STEP=10 # Fewer steps for faster iteration
```
### Production Setup
```bash
# .env
API_PORT=8080
MAX_CONCURRENT_JOBS=1
MAX_SIMULATION_DAYS=30
AUTO_DOWNLOAD_PRICE_DATA=true
AGENT_MAX_STEP=30
```
### Multi-Model Competition
```json
// configs/default_config.json
{
"models": [
{
"name": "GPT-4",
"basemodel": "openai/gpt-4",
"signature": "gpt-4",
"enabled": true
},
{
"name": "Claude 3.7",
"basemodel": "anthropic/claude-3.7-sonnet",
"signature": "claude-3.7",
"enabled": true,
"openai_base_url": "https://api.anthropic.com/v1",
"openai_api_key": "anthropic-key"
},
{
"name": "GPT-3.5 Turbo",
"basemodel": "openai/gpt-3.5-turbo",
"signature": "gpt-3.5-turbo",
"enabled": false // Not run by default
}
]
}
```
---
## Environment Variable Priority
When the same configuration exists in multiple places:
1. **API request parameters** (highest priority)
2. **Model-specific config** (`openai_base_url`, `openai_api_key` in model config)
3. **Environment variables** (`.env` file)
4. **Default values** (lowest priority)
Example:
```json
// If model config has:
{
"openai_api_key": "model-specific-key"
}
// This overrides OPENAI_API_KEY from .env
```
---
## Validation
After configuration changes:
```bash
# Restart service
docker-compose down
docker-compose up -d
# Verify health
curl http://localhost:8080/health
# Check logs for errors
docker logs ai-trader | grep -i error
```