June 2026 monthly summary for TEN-framework/ten_framework: Focused on stabilizing the OpenAI TTS extension and standardizing audio sampling to 24kHz, delivering a reliable chat TTS experience and preparing for broader improvements. Key actions included reverting disruptive changes, updating the extension version, and enforcing consistent audio output across the pipeline. These changes reduce regression risk, improve user experience, and establish a solid foundation for scalable TTS enhancements.

May 2026 monthly summary for TEN-framework/ten_framework focusing on OpenAI voice features. Delivered configurable sample rates for the OpenAI Text-to-Speech extension to optimize audio quality and compatibility, and improved OpenAI Automatic Speech Recognition (ASR) reliability by stabilizing reconnection flows and message queuing. These changes enhanced user experience for voice synthesis and transcription, reduced session restart friction, and prepared the framework for broader production rollout.

In April 2026, delivered two core feature improvements in TEN-framework/ten_framework that directly enhance TTS quality, reliability, and debugging effectiveness. The work focused on Cartesia TTS improvements for naturalness and configurability, plus improved logging for Rime TTS extension to accelerate issue diagnosis and resolution. These changes establish stronger UX for end users and faster feedback loops for developers while maintaining release hygiene and test configurability.

March 2026 summary for TEN-framework/ten_framework: Delivered core TTS capabilities with reliability, observability, and CI/CD-ready workflows. Implemented Rime TTS extension improvements, Tencent TTS reliability enhancements with metrics, introduced TTS core functionality with end-to-end metrics, and expanded testing for edge cases to ensure robust shipping.

February 2026 monthly summary: Key features delivered include the TTS Proxy Server for streaming with sample-rate handling and vendor URL parameterization, enabling multi-vendor TTS support and seamless audio streaming. Major bugs fixed include hardening of the RIME TTS WebSocket with per-request IDs and improved TTFB calculation to enhance reliability and performance tracking.

January 2026 monthly summary — Delivered OpenAI TTS Client Improvements for TEN-framework/ten_framework, delivering broader compatibility and improved configurability. Migrated the TTS client to httpx to support a wider range of TTS servers, added support for custom headers and endpoint configurations, and optimized performance with a pre-created SSL context. These changes reduce integration friction for partners, enable flexible deployments, and improve startup latency and reliability.

Monthly summary for 2025-10 focused on TEN-framework/ten_framework's Text-to-Speech improvements across Google TTS and ElevenLabs. Delivered reliability and error-handling enhancements, consolidated TTS module updates, expanded tests, and added user-facing controls, contributing to more stable audio playback and clearer diagnostics. Commit activity spanned fixes and feature work across Google TTS updates (#1595, #1600, #1630, #1644, #1660, #1669).

September 2025 monthly summary for TEN-framework/ten_framework focusing on delivering high-value TTS capabilities, stronger reliability, and improved observability. Highlights include feature delivery for TTS platform enhancements with streaming and integration improvements for ElevenLabs and Google TTS, alongside critical timing and error-handling fixes. Significant commits across the month are: 47bd2af9fce1c98c243ae0b6c83a6f9abbc260eb, 26a65a438d9147f53cb88e6d096974e1ad074f36, fc8c53520c5ada9a31d1fd618bbd770d8b29c79a, 164158a6f98979041e6c4a9ca6d5998283fa63f2, 7a0a43c58fae662bcffccaabd19dca7ff789bfe4, and 6de85ecb7541684523a3dd31341dffc021f1be86. These efforts have improved streaming capabilities, timing metrics, request handling, and logging for better observability and reliability.

August 2025 monthly summary for TEN-framework/ten_framework: Delivered stability improvements and enhanced configurability for TTS workflows, focusing on WebSocket reliability and flexible synthesis parameters. The work strengthens production reliability and enables safer, faster feature experimentation.