The A/B Test Creation API Route is a critical component of the Sophra System’s experimentation framework, implemented as a Next.js API route within the Cortex module. This route handles the creation of new A/B tests, enabling sophisticated experimentation capabilities within the Sophra ecosystem. It leverages TypeScript for type safety and integrates with the system’s service management layer to ensure proper initialization and error handling. At its core, this component utilizes Zod for robust request validation, ensuring that incoming test creation requests adhere to a predefined schema. This schema-based approach not only enhances data integrity but also provides clear feedback to API consumers about the expected payload structure. The route interacts with the AB Testing service, which is part of the broader service management infrastructure of Sophra, demonstrating the system’s modular and extensible architecture. Performance considerations are evident in the implementation, with the route capturing start times and including execution duration in the response metadata. This allows for ongoing performance monitoring and optimization. Error handling is comprehensive, with detailed logging that captures various error scenarios, providing valuable insights for debugging and system reliability. The component’s design reflects Sophra’s commitment to scalability and maintainability. By leveraging Next.js’s API route structure, it seamlessly integrates with the system’s API Gateway layer, allowing for easy expansion of the A/B testing capabilities. The use of environment-specific configurations and service initialization checks ensures that the route can adapt to different deployment scenarios while maintaining operational integrity.

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Exported Components

export const runtime = "nodejs";
The POST function is the primary export, handling incoming HTTP POST requests for A/B test creation. It accepts a NextRequest object and returns a Promise<NextResponse>, aligning with Next.js 14’s API route conventions.

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Implementation Examples

const validationResult = CreateABTestSchema.safeParse(body);

if (!validationResult.success) {
  return NextResponse.json(
    {
      success: false,
      error: "Invalid request data",
      details: validationResult.error.format(),
      receivedData: body,
      help: {
        example: {
          name: "My Test",
          description: "Test description",
          variants: [
            {
              id: "control",
              name: "Control",
              allocation: 0.5,
              weights: { score: 1.0 },
            },
            {
              id: "variant_a",
              name: "Variant",
              allocation: 0.5,
              weights: { score: 1.2 },
            },
          ],
        },
      },
    },
    { status: 400 }
  );
}
This example demonstrates the request validation process using Zod. It provides detailed error feedback and includes a helpful example in the response when validation fails. 
const test = await services.abTesting.createTest({
  name: validationResult.data.name,
  description: validationResult.data.description,
  startDate: new Date(),
  endDate: new Date(Date.now() + 30 * 24 * 60 * 60 * 1000),
  status: "ACTIVE",
  configuration: {
    variants: validationResult.data.variants,
  },
});
This snippet shows how the validated data is used to create a new A/B test using the AB Testing service.

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Sophra Integration Details

The A/B Test Creation route integrates with Sophra’s service management layer: 
import { serviceManager } from "@/lib/cortex/utils/service-manager";

// ...

services = await serviceManager.getServices();

if (!services.abTesting) {
  logger.error("AB Testing service not available");
  throw new Error("AB Testing service not initialized");
}
This integration ensures that the AB Testing service is properly initialized before processing requests, demonstrating Sophra’s modular architecture and dependency management.

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Error Handling

catch (error) {
  logger.error("Failed to create A/B test", {
    error,
    rawBody,
    errorType: error instanceof Error ? error.constructor.name : typeof error,
    message: error instanceof Error ? error.message : String(error),
    stack: error instanceof Error ? error.stack : undefined,
  });

  return NextResponse.json(
    {
      success: false,
      error: "Failed to create A/B test",
      details: error instanceof Error ? error.message : "Unknown error",
      errorType:
        error instanceof Error ? error.constructor.name : typeof error,
      context: {
        rawBody,
        stack: error instanceof Error ? error.stack : undefined,
        serviceStatus: {
          available: services?.abTesting ? true : false,
          services: services ? Object.keys(services) : [],
        },
      },
    },
    { status: 500 }
  );
}
This comprehensive error handling captures various error scenarios, logs detailed information, and returns a structured error response with contextual information about the system state.

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Data Flow

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Performance Considerations

  • Request processing time is measured and included in the response metadata:
const startTime = Date.now();

// ... processing ...

return NextResponse.json({
  success: true,
  data: test,
  meta: {
    took: Date.now() - startTime,
    timestamp: new Date().toISOString(),
  },
});
  • The route uses req.text() for efficient body parsing, avoiding unnecessary JSON parsing for invalid requests.

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Security Implementation

  • The route relies on Next.js API route handling for initial request validation.
  • Service availability is checked before processing, preventing potential security issues from uninitialized services.
  • Detailed error responses are provided only in non-production environments to prevent information leakage.

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Configuration

export const runtime = "nodejs";
This configuration ensures the route runs in a Node.js environment, allowing for full access to Node.js APIs and better performance for server-side operations.
Environment variables and additional configuration options should be defined in the project’s .env file and accessed via process.env within the service layer.