> ## Documentation Index
> Fetch the complete documentation index at: https://documentation.sophra.org/llms.txt
> Use this file to discover all available pages before exploring further.

# Cortex Engine Health API

> A robust health check endpoint for the Sophra Cortex Engine, providing detailed operational metrics and system status.

The Cortex Engine Health API is a critical component of the Sophra System, designed to provide comprehensive health and performance metrics for the Cortex Engine. This API endpoint serves as a vital diagnostic tool, offering real-time insights into the operational status, performance characteristics, and resource utilization of the Cortex Engine.

Integrated deeply within Sophra's microservices architecture, this health check mechanism plays a crucial role in maintaining system reliability and facilitating proactive maintenance. It leverages the service manager to interact with various Sophra services, ensuring a holistic view of the engine's health.

The API's architecture is built on Next.js 14, utilizing TypeScript for type safety and leveraging the power of server-side rendering. This design choice allows for efficient handling of health check requests, minimizing latency and resource overhead. The component employs asynchronous programming patterns to manage concurrent service checks, ensuring responsive performance even under high load.

Performance optimization is a key focus of this API. It implements a timeout mechanism to prevent long-running checks from impacting overall system responsiveness. The health check data is structured to provide granular metrics, enabling detailed analysis and trend identification. This granularity supports Sophra's adaptive learning system, feeding valuable operational data into the feedback loop for continuous improvement.

One of the unique features of this health check API is its extensibility. While currently focused on the Cortex Engine, its modular design allows for easy expansion to cover additional services within the Sophra ecosystem. The API also integrates with Sophra's comprehensive monitoring infrastructure, providing data that can be consumed by Prometheus for long-term trend analysis and alerting.

## Exported Components

<CodeGroup>
  ```typescript GET theme={null}
  export async function GET(_req: NextRequest): Promise<NextResponse>
  ```
</CodeGroup>

This function is the main export of the module, handling GET requests to the health check endpoint.

* Parameters:
  * `_req: NextRequest`: The incoming request object (unused in the current implementation)
* Returns: `Promise<NextResponse>`: A promise resolving to a NextResponse object containing the health check data

## Implementation Examples

<CodeGroup>
  ```typescript theme={null}
  const health = {
    timestamp: new Date().toISOString(),
    engine: engineHealth,
    overall: engineHealth.operational,
  };

  return NextResponse.json({
    success: true,
    data: health,
    meta: { took: Date.now() - startTime },
  });
  ```
</CodeGroup>

This example demonstrates how the health check data is structured and returned as a JSON response.

## Sophra Integration Details

The health check API integrates with other Sophra components through the `serviceManager`:

<CodeGroup>
  ```typescript theme={null}
  const services = await serviceManager.getServices();
  const engineHealth = await checkService("engine", services.engine, {
    // Default metrics structure
  });
  ```
</CodeGroup>

This pattern allows for extensibility, enabling health checks for additional services as the Sophra system evolves.

## Error Handling

The API implements comprehensive error handling:

<CodeGroup>
  ```typescript theme={null}
  try {
    // Health check logic
  } catch (error) {
    logger.error("Engine health check failed", {
      error: error instanceof Error ? error.message : "Unknown error",
      stack: error instanceof Error ? error.stack : undefined,
      took: Date.now() - startTime,
    });

    return NextResponse.json(
      {
        success: false,
        error: error instanceof Error ? error.message : "Unknown error",
        meta: { took: Date.now() - startTime },
      },
      { status: 500 }
    );
  }
  ```
</CodeGroup>

This approach ensures that all errors are caught, logged, and returned with appropriate HTTP status codes.

## Data Flow

<Accordion title="Health Check Sequence">
  ```mermaid theme={null}
  sequenceDiagram
      participant C as Client
      participant API as Health API
      participant SM as Service Manager
      participant ES as Engine Service

      C->>API: GET /api/cortex/engine/health
      API->>SM: getServices()
      SM-->>API: services
      API->>ES: testService()
      ES-->>API: health metrics
      API->>API: Process metrics
      API-->>C: Health check response
  ```
</Accordion>

## Performance Considerations

The API implements a timeout mechanism to ensure responsiveness:

<CodeGroup>
  ```typescript theme={null}
  const SERVICE_TIMEOUT = 5000;

  const timeoutPromise = new Promise((_, reject) => {
    setTimeout(
      () => reject(new Error(`${service} check timed out`)),
      SERVICE_TIMEOUT
    );
  });

  const healthCheck = await Promise.race([
    serviceInstance?.testService?.(),
    timeoutPromise,
  ]);
  ```
</CodeGroup>

This approach prevents any single service check from blocking the entire health check process.

## Security Implementation

While the health check endpoint itself doesn't implement authentication, it's designed to be protected by Sophra's API Gateway, which enforces JWT-based authentication and role-based access control.

## Configuration

The health check API uses the following configuration:

<CodeGroup>
  ```typescript theme={null}
  const SERVICE_TIMEOUT = 5000; // Timeout in milliseconds for each service check
  ```
</CodeGroup>

<Note>
  This timeout can be adjusted based on specific deployment requirements and expected service response times.
</Note>

The API relies on environment variables for service connections, which are managed through the `serviceManager`.

<AccordionGroup>
  <Accordion title="Metrics Structure">
    ```typescript theme={null}
    {
      status: "unknown",
      uptime: 0,
      operations: {
        total: 0,
        successful: 0,
        failed: 0,
        pending: 0,
        lastOperation: null,
      },
      performance: {
        latency: {
          p50: 0,
          p95: 0,
          p99: 0,
          average: 0,
        },
        throughput: {
          current: 0,
          average: 0,
          peak: 0,
        },
        errorRate: 0,
        successRate: 0,
      },
      resources: {
        cpu: {
          usage: 0,
          limit: 0,
        },
        memory: {
          used: 0,
          allocated: 0,
          peak: 0,
        },
        connections: {
          active: 0,
          idle: 0,
          max: 0,
        },
      },
      learning: {
        activeStrategies: 0,
        successfulOptimizations: 0,
        failedOptimizations: 0,
        lastOptimization: null,
      },
    }
    ```
  </Accordion>
</AccordionGroup>

This comprehensive metrics structure provides a detailed view of the Cortex Engine's operational status, performance, resource utilization, and learning system metrics.