docs/TRACKIO_API_FIX_SUMMARY.md

# Trackio API Fix Summary

## Overview

This document summarizes the fixes applied to resolve the 404 errors in the Trackio integration and implement automatic Space URL resolution.

## Issues Identified

### 1. **404 Errors in Trackio API Calls**
- **Problem**: The original API client was using incorrect endpoints and HTTP request patterns
- **Error**: `POST request failed: 404 - Cannot POST /spaces/Tonic/trackio-monitoring-20250727/gradio_api/call/list_experiments_interface`
- **Root Cause**: Using raw HTTP requests instead of the proper Gradio client API

### 2. **Hardcoded Space URL**
- **Problem**: The Space URL was hardcoded, making it inflexible
- **Issue**: No automatic resolution of Space URLs from Space IDs
- **Impact**: Required manual URL updates when Space deployment changes

## Solutions Implemented

### 1. **Updated API Client to Use Gradio Client**

**File**: `scripts/trackio_tonic/trackio_api_client.py`

**Changes**:
- Replaced custom HTTP requests with `gradio_client.Client`
- Uses proper two-step process (POST to get event_id, then GET to get results)
- Handles all Gradio API endpoints correctly

**Before**:
```python
# Custom HTTP requests with manual event_id handling
response = requests.post(url, json=payload)
event_id = response.json()["event_id"]
result = requests.get(f"{url}/{event_id}")
```

**After**:
```python
# Using gradio_client for proper API communication
result = self.client.predict(*args, api_name=api_name)
```

### 2. **Automatic Space URL Resolution**

**Implementation**:
- Uses Hugging Face Hub API to resolve Space URLs from Space IDs
- Falls back to default URL format if API is unavailable
- Supports both authenticated and anonymous access

**Key Features**:
```python
def _resolve_space_url(self) -> Optional[str]:
    """Resolve Space URL using Hugging Face Hub API"""
    api = HfApi(token=self.hf_token)
    space_info = api.space_info(self.space_id)
    if space_info and hasattr(space_info, 'host'):
        return space_info.host
    else:
        # Fallback to default URL format
        space_name = self.space_id.replace('/', '-')
        return f"https://{space_name}.hf.space"
```

### 3. **Updated Client Interface**

**Before**:
```python
client = TrackioAPIClient("https://tonic-trackio-monitoring-20250727.hf.space")
```

**After**:
```python
client = TrackioAPIClient("Tonic/trackio-monitoring-20250727", hf_token)
```

### 4. **Enhanced Monitoring Integration**

**File**: `src/monitoring.py`

**Changes**:
- Updated to use Space ID instead of hardcoded URL
- Automatic experiment creation with proper ID extraction
- Better error handling and fallback mechanisms

## Dependencies Added

### Required Packages
```bash
pip install gradio_client huggingface_hub
```

### Package Versions
- `gradio_client>=1.10.4` - For proper Gradio API communication
- `huggingface_hub>=0.19.3` - For Space URL resolution

## API Endpoints Supported

The updated client supports all documented Gradio endpoints:

1. **Experiment Management**:
   - `/create_experiment_interface` - Create new experiments
   - `/list_experiments_interface` - List all experiments
   - `/get_experiment_details` - Get experiment details
   - `/update_experiment_status_interface` - Update experiment status

2. **Metrics and Parameters**:
   - `/log_metrics_interface` - Log training metrics
   - `/log_parameters_interface` - Log experiment parameters

3. **Visualization**:
   - `/create_metrics_plot` - Create metrics plots
   - `/create_experiment_comparison` - Compare experiments

4. **Testing and Demo**:
   - `/simulate_training_data` - Simulate training data
   - `/create_demo_experiment` - Create demo experiments

## Configuration

### Environment Variables
```bash
# Required for Space URL resolution
export HF_TOKEN="your_huggingface_token"

# Optional: Custom Space ID
export TRACKIO_SPACE_ID="your-username/your-space-name"

# Optional: Dataset repository
export TRACKIO_DATASET_REPO="your-username/your-dataset"
```

### Default Configuration
- **Default Space ID**: `Tonic/trackio-monitoring-20250727`
- **Default Dataset**: `tonic/trackio-experiments`
- **Auto-resolution**: Enabled by default

## Testing

### Test Script
**File**: `tests/test_trackio_api_fix.py`

**Tests Included**:
1. **Space URL Resolution** - Tests automatic URL resolution
2. **API Client** - Tests all API endpoints
3. **Monitoring Integration** - Tests full monitoring workflow

### Running Tests
```bash
python tests/test_trackio_api_fix.py
```

**Expected Output**:
```
🚀 Starting Trackio API Client Tests with Automatic URL Resolution
======================================================================
✅ Space URL Resolution: PASSED
✅ API Client Test: PASSED
✅ Monitoring Integration: PASSED

🎉 All tests passed! The Trackio integration with automatic URL resolution is working correctly.
```

## Benefits

### 1. **Reliability**
- ✅ No more 404 errors
- ✅ Proper error handling and fallbacks
- ✅ Automatic retry mechanisms

### 2. **Flexibility**
- ✅ Automatic Space URL resolution
- ✅ Support for any Trackio Space
- ✅ Configurable via environment variables

### 3. **Maintainability**
- ✅ Clean separation of concerns
- ✅ Proper logging and debugging
- ✅ Comprehensive test coverage

### 4. **User Experience**
- ✅ Seamless integration with training pipeline
- ✅ Real-time experiment monitoring
- ✅ Automatic experiment creation and management

## Usage Examples

### Basic Usage
```python
from scripts.trackio_tonic.trackio_api_client import TrackioAPIClient

# Initialize with Space ID (URL resolved automatically)
client = TrackioAPIClient("Tonic/trackio-monitoring-20250727")

# Create experiment
result = client.create_experiment("my_experiment", "Test experiment")

# Log metrics
metrics = {"loss": 1.234, "accuracy": 0.85}
client.log_metrics("exp_123", metrics, step=100)
```

### With Monitoring Integration
```python
from src.monitoring import SmolLM3Monitor

# Create monitor (automatically creates experiment)
monitor = SmolLM3Monitor(
    experiment_name="my_training_run",
    enable_tracking=True
)

# Log metrics during training
monitor.log_metrics({"loss": 1.234}, step=100)

# Log configuration
monitor.log_config({"learning_rate": 2e-5, "batch_size": 8})
```

## Troubleshooting

### Common Issues

1. **"gradio_client not available"**
   ```bash
   pip install gradio_client
   ```

2. **"huggingface_hub not available"**
   ```bash
   pip install huggingface_hub
   ```

3. **"Space not accessible"**
   - Check if the Space is running
   - Verify Space ID is correct
   - Ensure HF token has proper permissions

4. **"Experiment not found"**
   - Experiments are created automatically by the monitor
   - Use the experiment ID returned by `create_experiment()`

### Debug Mode
Enable debug logging to see detailed API calls:
```python
import logging
logging.basicConfig(level=logging.DEBUG)
```

## Future Enhancements

### Planned Features
1. **Multi-Space Support** - Support for multiple Trackio Spaces
2. **Advanced Metrics** - Support for custom metric types
3. **Artifact Upload** - Direct file upload to Spaces
4. **Real-time Dashboard** - Live monitoring dashboard
5. **Export Capabilities** - Export experiments to various formats

### Extensibility
The new architecture is designed to be easily extensible:
- Modular API client design
- Plugin-based monitoring system
- Configurable Space resolution
- Support for custom endpoints

## Conclusion

The Trackio API integration has been successfully fixed and enhanced with:

- ✅ **Resolved 404 errors** through proper Gradio client usage
- ✅ **Automatic URL resolution** using Hugging Face Hub API
- ✅ **Comprehensive testing** with full test coverage
- ✅ **Enhanced monitoring** with seamless integration
- ✅ **Future-proof architecture** for easy extensions

The system is now production-ready and provides reliable experiment tracking for SmolLM3 fine-tuning workflows.