Dev fixes 50+ Sentry bugs to stabilize SHALA mental wellness AI platform

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SHALA, an open-source mental wellness platform built on a multi-model AI gateway, encountered over 50 distinct production errors flagged through Sentry, including AI provider crashes, React DOM failures, and UI freezes. The issues stemmed from three core failure points: an unstable AI provider factory, non-deterministic DOM reconciliation errors, and a main-thread layout freeze caused by the Recharts library. Developers used Sentry's observability tools alongside defensive coding patterns to diagnose and resolve all reported issues. The fixes resulted in a 7x faster failover response, 99.95% gateway uptime, and zero unresolved Sentry issues remaining. The project prioritized user safety throughout, given that SHALA serves people seeking mental health support and crisis grounding.

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