validation-patterns

Validation patterns automate code quality checks by validating parameters, connections, DataFlow patterns, imports, and security across your Kailash workflows. Integrate the WorkflowValidator into pre-commit hooks or CI/CD pipelines to catch errors before deployment, eliminating manual code review overhead.

Security validation detects SQL injection, code injection, and exposed secrets in your Kailash SDK code. It enforces absolute-import rules and validates runtime configurations to prevent vulnerabilities from reaching production.

Yes. Validation patterns enforce four-parameter connection contracts and standard DataFlow result access patterns across all nodes and workflows. Automated structure validation ensures your workflow definitions comply with Kailash SDK requirements.

Run the WorkflowValidator programmatically on your WorkflowBuilder instances to generate validation results with detailed error messages. Use results in CI/CD pipelines, pre-commit hooks, or local development to enforce compliance checks automatically.

The validator returns a results object containing all errors flagged during parameter, connection, DataFlow, import, and security checks. You can iterate through errors to identify violations and fix them before merging or deploying code.