chatbot-ui

The chatbot-ui codebase assessment reveals a solid foundation with a compliance score of 91 out of 100, based on verification of 476 claims across 26 routes. While this score indicates generally strong engineering practices, the assessment identified 41 bugs requiring attention, including 12 classified as critical and 17 as high severity. These findings suggest that while the application's architecture is sound, there are meaningful gaps in security controls that expose the organization to operational and data protection risks that should be addressed before any production scaling or customer expansion. The most significant business risk centers on authentication and authorization enforcement across critical API endpoints. All twelve critical bugs relate to missing or improperly implemented authentication guards on routes that handle sensitive AI chat operations and document retrieval functions. This means that without proper remediation, unauthorized users could potentially access AI services, consume expensive third-party API resources from providers like OpenAI and Anthropic, or retrieve documents they shouldn't have access to. The financial exposure includes potential abuse of your AI provider quotas and possible compliance violations if customer data or proprietary information becomes accessible without proper access controls. These are not theoretical risks—they represent actual gaps in the current implementation that could be exploited. From a domain perspective, the public-facing routes demonstrate excellent compliance at 100%, indicating that non-authenticated functionality is well-designed. Your API layer, which represents the bulk of the application with 18 routes, shows strong 92% compliance. However, the chat domain at 81% compliance is concerning given its role as a primary user-facing feature and its connection to the critical authentication issues identified. The authentication domain itself scores 88%, and the setup flows at 86%, both suggesting room for improvement in foundational security controls. This pattern indicates that customer-facing features may have been prioritized for functionality over security hardening during development cycles. We recommend immediately prioritizing remediation of the twelve critical authentication bugs, as these represent direct business risk with relatively straightforward technical solutions. The seventeen high-severity issues should follow in the next sprint cycle. Consider implementing a security-focused code review gate for all authentication and authorization changes going forward, and establish automated testing to verify that protected routes remain properly guarded as the codebase evolves. Given the 91% compliance score, your engineering team is clearly capable—this assessment provides a clear roadmap to close the remaining gaps before they become production incidents or compliance audit findings.