Worked on the PostHog/posthog-js repository to enhance the stability of streaming analytics monitors by addressing unhandled promise rejections that previously caused host process crashes across OpenAI, Azure OpenAI, and Anthropic integrations. The solution involved adding explicit catch blocks to asynchronous IIFEs, ensuring that mid-stream provider errors were safely contained and error information was preserved for downstream debugging. Regression tests were implemented using Jest to validate the resilience of all patched monitors against provider errors and rate-limit events. This work leveraged TypeScript and Node.js, resulting in a more robust streaming analytics pipeline without introducing new features during the period.