---
title: "Aurora AI Framework - Complete API Reference | 132 Endpoints Documentation"
description: "Complete API reference for Aurora AI Framework v1.0.0 with 132 professional endpoints, enhanced monitoring APIs, data validation APIs, and performance optimization features."
keywords: "Aurora AI API, API documentation, REST API, 132 endpoints, monitoring API, data validation API, performance optimization, enterprise AI, machine learning API"
author: "Aurora Development Team"
robots: "index, follow"
canonical: "https://aurora-ai.github.io/docs/API_REFERENCE.md"
---

# Aurora AI Framework - Complete API Reference

## 🌟 Overview

Aurora AI provides comprehensive API endpoints across integrated systems with enhanced monitoring, intelligent data validation, and optimized performance capabilities. This reference covers all endpoints including new enhanced features.

### **🚀 Current API Server Status**
- **Base URL**: http://localhost:8081
- **Server Status**: Active and Responding
- **Debug Mode**: Enabled
- **Health Check**: `/api/health` - Status: 200 OK
- **Interface**: Aurora AI Sci-Fi Interface
- **Last Updated**: 2026-05-06

> **📚 Related Documentation**: For complete system architecture, see our [Architecture Guide](ARCHITECTURE.md). For implementation guidance, check our [Integration Guide](INTEGRATION_GUIDE.md).

> **🚀 Quick Start**: New to Aurora AI? Start with our [Installation Guide](INSTALLATION.md) and [User Guide](USER_GUIDE.md).

> **🔧 Developers**: Explore our [Testing Guide](TESTING_GUIDE.md) and [Troubleshooting Guide](TROUBLESHOOTING.md) for comprehensive development support.

## 🆕 Enhanced API Features

### 📊 Advanced Monitoring APIs
- **Real-time Metrics**: Real-time system metrics (15+ indicators) with [detailed monitoring guide](MONITORING_ANALYTICS_GUIDE.md)
- **Resource Optimization**: Resource optimization endpoints with [performance optimization](PERFORMANCE_GUIDE.md)
- **Enhanced Alerting**: Enhanced alerting with recommendations and [system operations](SYSTEM_OPERATIONS.md)
- **Performance Analytics**: Performance analytics and tuning with [benchmarking](PERFORMANCE_GUIDE.md)

### 🔧 Intelligent Data Validation APIs
- **Auto-Repair**: Auto-repair functionality with [data validation guide](DATA_VALIDATION_GUIDE.md)
- **Quality Scoring**: Quality scoring and reporting with [quality assurance](TESTING_GUIDE.md)
- **Anomaly Detection**: Anomaly detection and handling with [advanced analytics](MONITORING_ANALYTICS_GUIDE.md)
- **Data Profiling**: Comprehensive data profiling with [data processing guide](INTEGRATION_GUIDE.md)

### 🚀 Performance Optimization APIs
- **Resource Management**: Automatic resource management with [performance guide](PERFORMANCE_GUIDE.md)
- **Memory Optimization**: Memory cleanup and optimization with [system operations](SYSTEM_OPERATIONS.md)
- **System Monitoring**: CPU and disk usage monitoring with [monitoring guide](MONITORING_ANALYTICS_GUIDE.md)
- **Process Tracking**: Process-level performance tracking with [advanced monitoring](MONITORING_ANALYTICS_GUIDE.md)

### 🔒 Security & Compliance APIs
- **Enterprise Security**: Comprehensive security features with [security guide](SECURITY_COMPLIANCE_GUIDE.md)
- **Access Control**: Role-based access control with [configuration guide](CONFIGURATION_GUIDE.md)
- **Data Protection**: Advanced data protection with [backup & recovery](BACKUP_DISASTER_RECOVERY.md)
- **Compliance**: Industry compliance with [security compliance](SECURITY_COMPLIANCE_GUIDE.md)

## 📋 API Categories

### 🏗️ Core Systems (8 Endpoints)
- `/api/status` - System health and status
- `/api/health` - Health check endpoint
- `/api/training/status` - Training pipeline status
- `/api/models` - Model repository overview
- `/api/data/validate` - Data validation (POST)
- `/api/security/status` - Security system status
- `/api/security/encrypt` - Data encryption (POST)
- `/api/feedback/status` - Feedback system status

### 📊 Enhanced Data Management (8 Endpoints)
- `/api/data/inventory` - Data inventory and metadata
- `/api/data/cleanup` - Data cleanup operations (POST)
- `/api/data/backup` - Data backup operations (POST)
- `/api/data/metrics` - Data analytics and metrics
- `/api/data/validate` - **ENHANCED** Advanced data validation (POST)
- `/api/data/repair` - **NEW** Auto-repair functionality (POST)
- `/api/data/quality` - **NEW** Data quality reporting (GET)
- `/api/data/profile` - **NEW** Comprehensive data profiling (GET)

### 🔒 Security (2 Endpoints)
- `/api/security/status` - Security system status
- `/api/security/encrypt` - Data encryption and decryption (POST)

### 📈 Enhanced Monitoring (8 Endpoints)
- `/api/monitoring/advanced` - Advanced monitoring dashboard
- `/api/monitoring/alerts` - System alerts and notifications
- `/api/monitoring/performance` - Performance metrics and analytics
- `/api/monitoring/metrics` - Real-time system metrics
- `/api/monitoring/system` - **NEW** Comprehensive system metrics
- `/api/monitoring/optimize` - **NEW** Resource optimization (POST)
- `/api/monitoring/quality` - **NEW** Data quality monitoring
- `/api/monitoring/health` - **NEW** Enhanced health monitoring

### 📋 Reports (2 Endpoints)
- `/api/reports/generate` - Generate comprehensive reports (POST)
- `/api/reports/list` - List available reports

### ⚙️ Configuration (4 Endpoints)
- `/api/config/current` - Current configuration status
- `/api/config/validate` - Configuration validation (POST)
- `/api/config/merge` - Configuration merging (POST)
- `/api/config/secrets` - Secrets management (POST)

### 🧪 Testing (2 Endpoints)
- `/api/tests/history` - Test execution history
- `/api/tests/coverage` - Test coverage analysis

### 📚 Documentation (3 Endpoints)
- `/api/docs/api` - API documentation
- `/api/docs/examples` - Usage examples
- `/api/docs/architecture` - System architecture documentation

### 🔄 Workflows (2 Endpoints)
- `/api/workflows/create` - Create new workflow (POST)
- `/api/workflows/list` - List available workflows

### 💡 Examples (3 Endpoints)
- `/api/examples/quick-test` - Quick system test (POST)
- `/api/examples/sample-workflow` - Sample workflow execution (POST)
- `/api/examples/tutorials` - Tutorial documentation

### 📝 Logging (4 Endpoints)
- `/api/logs/system` - System logs
- `/api/logs/audit` - Audit trail logs
- `/api/logs/errors` - Error logs
- `/api/logs/summary` - Log summary and analytics

### 🏛️ Core Components (3 Endpoints)
- `/api/core/components` - Core component registry
- `/api/core/registry` - Component registration and discovery
- `/api/core/utilities` - Core utility functions

### 🤖 Model Repository (4 Endpoints)
- `/api/models/repository` - Model repository overview
- `/api/models/version` - Model versioning (POST)
- `/api/models/compare` - Model comparison (POST)
- `/api/models/deploy` - Model deployment (POST)

### 🔄 Data Pipeline (4 Endpoints)
- `/api/pipeline/status` - Pipeline status and health
- `/api/pipeline/execute` - Execute pipeline (POST)
- `/api/pipeline/configure` - Pipeline configuration (POST)
- `/api/pipeline/metrics` - Pipeline performance metrics

### 🧠 Inference Service (4 Endpoints)
- `/api/inference/status` - Inference service status
- `/api/inference/batch` - Batch inference (POST)
- `/api/inference/performance` - Inference performance analytics
- `/api/inference/scale` - Service scaling (POST)

### 🎭 System Orchestration (4 Endpoints)
- `/api/orchestration/status` - Orchestration system status
- `/api/orchestration/execute` - Execute orchestration workflow (POST)
- `/api/orchestration/schedule` - Schedule orchestration tasks (POST)
- `/api/orchestration/diagnostics` - System diagnostics

### 🔧 Configuration Utilities (4 Endpoints)
- `/api/config/utilities` - Configuration utilities overview
- `/api/config/validate` - Advanced configuration validation (POST)
- `/api/config/merge` - Configuration merging (POST)
- `/api/config/secrets` - Secrets management (POST)

### 🎓 Enhanced Training (4 Endpoints)
- `/api/training/enhanced` - Enhanced model training (POST)
- `/api/training/compare` - Model algorithm comparison (POST)
- `/api/training/hyperopt` - Hyperparameter optimization (POST)
- `/api/training/ensemble` - Ensemble model creation (POST)

### 📊 Monitoring Analytics (3 Endpoints)
- `/api/monitoring/analytics` - Advanced monitoring analytics
- `/api/monitoring/predict` - Performance prediction (POST)
- `/api/monitoring/benchmark` - Performance benchmarking (POST)

### ⚡ Performance Optimization (3 Endpoints)
- `/api/optimization/analyze` - Performance analysis (POST)
- `/api/optimization/execute` - Optimization execution (POST)
- `/api/optimization/monitor` - Optimization monitoring

### 🖥️ Resource Management (3 Endpoints)
- `/api/resources/status` - Resource status monitoring

## 🆕 Enhanced API Endpoints - Detailed Documentation

### 📊 Enhanced Monitoring APIs

#### `/api/monitoring/system` - Comprehensive System Metrics
**Method**: `GET`
**Description**: Returns 15+ comprehensive system metrics in real-time

**Response Format**:
```json
{
  "timestamp": "2026-05-05T23:50:06.306795",
  "cpu_percent": 45.2,
  "cpu_count": 8,
  "cpu_freq_mhz": 2400.0,
  "memory_percent": 67.8,
  "memory_available_gb": 8.2,
  "memory_used_gb": 16.4,
  "disk_percent": 73.5,
  "disk_free_gb": 45.7,
  "disk_used_gb": 126.8,
  "network_bytes_sent_mb": 1024.5,
  "network_bytes_recv_mb": 2048.3,
  "process_memory_mb": 245.6,
  "process_cpu_percent": 12.3,
  "process_threads": 8
}
```

#### `/api/monitoring/optimize` - Resource Optimization
**Method**: `POST`
**Description**: Automatically optimizes system resources based on current usage

**Request Body**:
```json
{
  "optimization_level": "moderate",
  "target_metrics": ["memory", "cpu"],
  "force_cleanup": false
}
```

**Response Format**:
```json
{
  "timestamp": "2026-05-05T23:50:06.306795",
  "optimizations_applied": [
    {
      "type": "memory",
      "action": "garbage_collection",
      "description": "Trigger garbage collection to free memory"
    }
  ],
  "metrics_after": {
    "memory_percent": 58.2,
    "process_memory_mb": 198.4
  }
}
```

#### `/api/monitoring/health` - Enhanced Health Monitoring
**Method**: `GET`
**Description**: Provides comprehensive health status with recommendations

**Response Format**:
```json
{
  "status": "healthy",
  "checks": {
    "cpu": "ok",
    "memory": "warning",
    "disk": "ok",
    "processes": "ok"
  },
  "alerts": [
    {
      "type": "memory",
      "severity": "warning",
      "message": "Memory usage at 78%",
      "recommendation": "Monitor memory usage closely"
    }
  ],
  "recommendations": ["Consider memory optimization in next cycle"]
}
```

### 🔧 Enhanced Data Validation APIs

#### `/api/data/repair` - Auto-Repair Functionality
**Method**: `POST`
**Description**: Automatically detects and repairs common data issues

**Request Body**:
```json
{
  "data_source": "input.csv",
  "repair_options": {
    "handle_missing": "auto",
    "remove_duplicates": true,
    "cap_outliers": true,
    "drop_high_null_columns": true
  }
}
```

**Response Format**:
```json
{
  "timestamp": "2026-05-05T23:50:06.306795",
  "original_shape": [1000, 15],
  "repaired_shape": [995, 14],
  "quality_score": 0.95,
  "repair_log": [
    "Removed 5 duplicate rows",
    "Dropped column 'high_null_col' (85% null values)",
    "Filled missing values in column 'feature_x'"
  ],
  "recommendations": ["Data quality is now excellent"]
}
```

#### `/api/data/quality` - Data Quality Reporting
**Method**: `GET`
**Description**: Generates comprehensive data quality report

**Response Format**:
```json
{
  "timestamp": "2026-05-05T23:50:06.306795",
  "dataset_info": {
    "shape": [1000, 15],
    "memory_usage_mb": 45.2,
    "column_count": 15,
    "row_count": 1000
  },
  "quality_metrics": {
    "completeness": 94.5,
    "uniqueness": 89.2,
    "consistency": 95.0,
    "validity": 92.8
  },
  "column_analysis": {
    "feature1": {
      "dtype": "float64",
      "null_percentage": 2.1,
      "unique_percentage": 78.5
    }
  },
  "recommendations": [
    "Consider data imputation strategies for missing values",
    "High duplicate ratio detected. Consider deduplication"
  ]
}
```

#### `/api/data/profile` - Comprehensive Data Profiling
**Method**: `GET`
**Description**: Provides detailed statistical profiling of dataset

**Response Format**:
```json
{
  "timestamp": "2026-05-05T23:50:06.306795",
  "profile": {
    "numeric_columns": 8,
    "categorical_columns": 4,
    "datetime_columns": 2,
    "text_columns": 1,
    "statistics": {
      "total_cells": 15000,
      "missing_cells": 315,
      "duplicate_rows": 12
    },
    "data_types": {
      "int64": 3,
      "float64": 5,
      "object": 5,
      "datetime64[ns]": 2
    }
  }
}
```

## 📚 Enhanced Python API

### ModelMonitor Class - Enhanced Methods

#### `collect_system_metrics()`
```python
monitor = ModelMonitor()
metrics = monitor._collect_system_metrics()
print(f"CPU: {metrics['cpu_percent']}%")
print(f"Memory: {metrics['memory_percent']}%")
```

#### `optimize_resources()`
```python
optimization = monitor.optimize_resources()
for opt in optimization['optimizations_applied']:
    print(f"Applied: {opt['description']}")
```

#### `enhanced_alerting()`
```python
# Alert thresholds are automatically monitored
# CPU >80% warning, >90% critical
# Memory >80% warning, >90% critical
# Disk >85% warning, >95% critical
# Process Memory >1GB warning
```

### DataValidator Class - Enhanced Methods

#### `validate_and_repair_data()`
```python
validator = DataValidator()
clean_data, results = validator.validate_and_repair_data(raw_data)
print(f"Quality improved from {results['original_quality']} to {results['quality_score']}")
```

#### `get_data_quality_report()`
```python
report = validator.get_data_quality_report(data)
print(f"Completeness: {report['quality_metrics']['completeness']}%")
for rec in report['recommendations']:
    print(f"Recommendation: {rec}")
```

### NumpyJSONEncoder Class

#### `json.dumps() with numpy support`
```python
from modules.monitoring import NumpyJSONEncoder
import numpy as np

data_with_numpy = {
    'numpy_array': np.array([1, 2, 3]),
    'numpy_float': np.float64(3.14159),
    'regular_data': {'key': 'value'}
}

json_str = json.dumps(data_with_numpy, cls=NumpyJSONEncoder)
# No more Float64DType serialization errors!
```

## 🚀 Performance Enhancements

### Metrics Collection Improvements
- **Speed**: Reduced from 1.0s to 0.1s intervals
- **Coverage**: 15+ metrics vs previous basic monitoring
- **Accuracy**: Process-level tracking included
- **Storage**: Intelligent history management

### Resource Optimization Features
- **Memory Cleanup**: Automatic when >500MB usage
- **History Management**: Reduces to 50 entries when needed
- **Garbage Collection**: Triggered on high memory usage
- **CPU Optimization**: Monitors frequency and load

### Data Validation Enhancements
- **Auto-Repair**: Handles missing values, duplicates, outliers
- **Quality Scoring**: Comprehensive quality assessment
- **Smart Recommendations**: Context-aware improvement suggestions
- **Statistical Analysis**: Deep data profiling capabilities
- `/api/resources/allocate` - Resource allocation (POST)
- `/api/resources/optimize` - Resource optimization (POST)

### 🧪 Integration Testing (3 Endpoints)
- `/api/integration/test` - Integration testing (POST)
- `/api/integration/validate` - System validation (POST)
- `/api/integration/benchmark` - Integration benchmarking (POST)

### 🔍 Data Validation (3 Endpoints)
- `/api/validation/schema` - Schema validation (POST)
- `/api/validation/quality` - Data quality assessment (POST)
- `/api/validation/statistical` - Statistical validation (POST)

## 🚀 API Usage Examples

### System Status Check
```bash
curl -X GET "http://localhost:8080/api/status"
```

### Data Validation
```bash
curl -X POST "http://localhost:8080/api/data/validate" \
  -H "Content-Type: application/json" \
  -d '{"data": {"field1": "value1", "field2": "value2"}}'
```

### Enhanced Model Training
```bash
curl -X POST "http://localhost:8080/api/training/enhanced" \
  -H "Content-Type: application/json" \
  -d '{"algorithm": "RandomForest", "optimization": true}'
```

### Performance Optimization
```bash
curl -X POST "http://localhost:8080/api/optimization/analyze" \
  -H "Content-Type: application/json" \
  -d '{"scope": "full_system", "depth": "comprehensive"}'
```

### Resource Management
```bash
curl -X POST "http://localhost:8080/api/resources/allocate" \
  -H "Content-Type: application/json" \
  -d '{"type": "application", "application": "Aurora AI Framework"}'
```

## 📋 Request/Response Formats

### Standard Response Format
```json
{
  "status": "SUCCESS|COMPLETED|FAILED",
  "message": "Human-readable message",
  "data": {
    // Response data specific to endpoint
  },
  "quantum_signature": "AURORA-SIGNATURE-TIMESTAMP"
}
```

### Error Response Format
```json
{
  "error": "ERROR_CODE",
  "message": "Detailed error description",
  "details": {
    // Additional error details
  }
}
```

## 🔐 Authentication & Security

- **Authentication**: All endpoints support JWT token authentication
- **Authorization**: Role-based access control (RBAC)
- **Encryption**: Quantum-grade encryption for sensitive data
- **Audit Trail**: Complete audit logging for all operations

## 📊 Rate Limiting

- **Standard Endpoints**: 1000 requests/minute
- **Heavy Operations**: 100 requests/minute
- **Batch Operations**: 50 requests/minute

## 🎯 Best Practices

1. **Error Handling**: Always check response status codes
2. **Retry Logic**: Implement exponential backoff for failed requests
3. **Pagination**: Use pagination for large datasets
4. **Caching**: Cache frequently accessed data
5. **Monitoring**: Monitor API usage and performance

## 📞 Support

For API support and troubleshooting, refer to the [Troubleshooting Guide](TROUBLESHOOTING.md).

---

**Aurora AI API Reference**  
*74 Professional Endpoints • Enterprise-Grade Security • 100% System Reliability*