AI Settings
Configure AI-assisted test generation—enable features, set guardrails, and manage provider/model credentials securely for consistent, schema-aware output.
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11 articles.
Configure AI-assisted test generation—enable features, set guardrails, and manage provider/model credentials securely for consistent, schema-aware output.
Audit logs capture who did what, when, and from where—filter and export events to support investigations, compliance, and operational oversight.
Configure server connection and proxy settings so the UI, backend services, and test environments communicate securely and reliably.
Enable detailed logs for troubleshooting—choose log levels and outputs, protect sensitive fields, and follow best practices to avoid production overhead.
Configure SMTP (sending) and optional IMAP (receiving) profiles so notifications and reports are delivered reliably and securely.
Create reusable email templates for notifications and test run reports—use variables, preview output, and standardize communication across teams.
Manage and validate licensing—view status and expiry, refresh or update keys, and troubleshoot activation issues for cloud or self-hosted deployments.
Enable and secure the Public API for CI/CD and automation—control tokens, rate limits, allowed roles, CORS, and best practices.
Manage role-based access control (RBAC)—define what users can view, create, modify, and run so teams collaborate securely with least privilege.
Manage users and system settings—create accounts, assign roles, configure email/AI features, and monitor activity with audit logs and debug logging.
Define org-wide security policies for onboarding—user registration rules, default roles, and password requirements to keep access controlled and compliant.