
In October 2024, Deliberate Kids developed a streaming text-to-speech extension for the TEN-framework repository, integrating the Fish.audio API with configurable keys and model selection to enable real-time audio processing. Their work focused on backend development and API integration using Go and Docker, emphasizing streaming architectures and observability. By adding payload tracking and latency optimizations, Deliberate Kids improved both reliability and transparency of audio data flows. They also enhanced the Docker-based CI pipeline by including the tman binary, strengthening testing and QA workflows. The depth of these changes provided faster TTS capabilities and more efficient, measurable quality assurance for users.

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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