API Reference

Backend API Server Architecture

System Overview

The backend API server is an enterprise-grade REST API server for AI task processing and complex workflow execution, built with modern web technologies.

API Endpoints

Public Endpoints

GET /health - System health check
GET /config/models - AI model configuration
GET /tools/list-all - Complete tools catalog
GET /rules/* - System rules and policies

Protected Endpoints

POST /tools/execute - Advanced workflow execution
POST /analyze-sentiment - Sentiment analysis
POST /summarize-text - Text summarization
POST /analyze-image - Image analysis
POST /generate-content - Content generation
And 40+ additional specialized tools

Authentication

The API uses secure authentication mechanisms to protect sensitive operations:

const validateApiKey = (req, res, next) => {
  const apiKey = req.headers.authorization?.replace('Bearer ', '') ||
                 req.headers['x-api-key'] ||
                 req.body.apiKey;

  if (!apiKey || !isValidApiKey(apiKey)) {
    return res.status(401).json({ error: 'Valid API key required' });
  }

  req.apiKey = apiKey;
  next();
};

Workflow Execution

Advanced Tool Execution

The primary endpoint for executing complex AI workflows:

app.post('/tools/execute', async (req, res) => {
  const { toolName, parameters } = req.body;
  const apiKey = req.apiKey;

  const result = await workflowExecutor.executeWorkflow(toolName, parameters, apiKey);
  res.json({ success: true, result });
});

Configuration System

The workflow engine uses a declarative configuration framework for specifying tool behaviors and execution parameters.

Tools Catalog System

The system maintains a comprehensive catalog of available AI tools with metadata and capabilities.

Tool Categories

Remote Tools: AI-powered processing via cloud infrastructure
Local Tools: Hardware-based operations on user systems
Hybrid Tools: Multi-stage processing workflows

Configuration Management

Model Configuration

Support for multiple AI models with fine-grained control over generation parameters.

Rules and Policy System

Base Rules: Core agent rules and ethical guidelines
Tool Policies: Usage patterns and restrictions
Behavior Profiles: Agent personality and interaction style
Optimization Policies: Prompt enhancement and quality improvement

Error Handling and Lifecycle Management

Comprehensive Error Handling

app.use((error, req, res, next) => {
  logger.error('Request error:', error);
  res.status(500).json({
    error: 'Internal server error',
    requestId: req.requestId
  });
});

Graceful Shutdown

Proper cleanup and resource management during system shutdown.

Response Formats

Success Response

{
  "success": true,
  "result": {
    "data": "...",
    "metadata": {
      "duration": 1250,
      "timestamp": "2024-01-01T12:00:00Z",
      "model": "gemini-2.5-flash"
    }
  }
}

Error Response

{
  "success": false,
  "error": "Tool execution failed",
  "details": "Invalid input parameters"
}

Rate Limiting and Security

API Key Validation

Length validation and format verification
Usage tracking and limits
Secure key storage mechanisms

Request Validation

Input sanitization and schema validation
Path traversal protection
Content type verification

Security Headers

Security headers for protection against common web vulnerabilities
CORS configuration for controlled cross-origin access
Content Security Policy implementation

Performance Optimization

Caching Strategies

Configuration Caching: Model configs and tool metadata
Result Caching: Successful tool executions
Memory Management: Efficient cache management

Connection Management

Connection Pooling: Optimized HTTP client connections
Timeout Management: Request timeout and retry logic
Resource Limits: Memory and CPU usage controls

Monitoring and Observability

Health Endpoints: System status and metrics
Performance Metrics: Request latency and throughput
Error Tracking: Comprehensive error logging and alerting

The backend API provides a robust, scalable infrastructure for AI-powered tool execution with enterprise-grade security, performance, and reliability features.