
During October 2024, Deliberate Kids developed a streaming text-to-speech extension for the TEN-framework repository, integrating the Fish.audio API with configurable API keys and model IDs to enable real-time audio processing. Their approach emphasized backend development in Go, leveraging containerization with Docker to streamline deployment and testing. By adding payload tracking and latency optimizations, Deliberate Kids improved observability and reliability for streaming data. They also enhanced the Docker image by including the tman binary, strengthening CI and QA workflows. The work focused on delivering new features and measurable performance improvements, demonstrating depth in API integration, DevOps, and real-time systems.
In Oct 2024, TEN-framework delivered new streaming TTS via Fish.audio API with configurable API key and model ID, supporting streaming data and improved observability through payload tracking and latency optimizations. Also updated the Docker image to include the tman binary to strengthen testing and QA workflows. No major bugs fixed this month; efforts focused on feature delivery, reliability, and CI/test tooling. Business value: faster, real-time TTS capabilities for customers and more efficient QA cycles, with better observability and measurable latency improvements. Technologies demonstrated include Fish.audio integration, streaming architectures, observability instrumentation, and Docker-based CI tooling.
In Oct 2024, TEN-framework delivered new streaming TTS via Fish.audio API with configurable API key and model ID, supporting streaming data and improved observability through payload tracking and latency optimizations. Also updated the Docker image to include the tman binary to strengthen testing and QA workflows. No major bugs fixed this month; efforts focused on feature delivery, reliability, and CI/test tooling. Business value: faster, real-time TTS capabilities for customers and more efficient QA cycles, with better observability and measurable latency improvements. Technologies demonstrated include Fish.audio integration, streaming architectures, observability instrumentation, and Docker-based CI tooling.

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