During June 2026, work on the pipecat-ai/pipecat repository centered on enhancing real-time transcription reliability by implementing a keepalive mechanism for NVIDIA Speech-to-Text services. This feature, developed in Python with a focus on backend and asynchronous programming, introduced configurable timeout and interval parameters, along with a method to send silent audio during idle periods. The approach maintained active audio streams and reduced disconnections, addressing common issues in live transcription scenarios. By enabling production tuning of idle-time behavior, the solution improved uptime and minimized manual intervention, demonstrating practical skills in API development and real-time audio streaming within a maintainable codebase.