更新LLM模型参数，调整top_p值为0.8，并添加max_tokens参数，设置为32768。

更新用户配置文件，修复logger导入路径以确保正确加载日志记录功能。

添加获取TTS模型参考音频的API路由，支持通过模型ID获取音频文件。

更新API文档

缓存user_prompts以提高性能

调整prompt的逻辑，确保展示的提示词中不包含/no_think指令

添加设置相关的API路由

调整LLM prompt的存放位置

增强任务有效性检查，添加日志记录以便于调试。

在生成TTS音频时始终记录生成信息。

在`SpeechStateMonitor`类的初始化过程中调用该方法，确保在创建新语音任务时中断任务ID被正确重置。

修复`PerformanceLogMixin`中的音频记录逻辑

修复`PerformanceLogMixin`中的调试模式检查逻辑

增强性能日志记录功能，新增用户问题日志记录方法

Revise `ACTIVE_FRAME_THRESHOLD` from 0.32s to 0.1s

更新MoYoYo语音模型配置，修改文本分割方法并新增角色模型

更新MoYoYo语音模型配置，新增优先级字段

新增Mixin类以增强语音任务处理功能

添加MoYoYo语音模型“白岩松”及相关文件

重构`is_task_interrupted`方法以检查语音任务中断状态

Add `has_no_words` check to skip punctuation-only TTS tasks and enhance debug logs

Refactor SpeechMonitor to use active audio frame duration instead of count

Add TTS generation error handling and `is_task_interrupted` helper function

Optimize VAD logic by replacing `np.max(probs)` with `any(prob >= threshold)` for improved readability and efficiency.

Increase audio capture chunk size to 1024 in `capture.py` for smoother streaming

Remove `speech_monitor` dependency from `asr_worker` service definition.

Add echo cancellation and VAD toggle support in service factories and routes

Fix help text for `--disable-echo-cancellation` to clarify the default behavior is not disabled

Refactor threading in `launcher.py` to standardize worker initialization, enforce daemon mode, and improve naming consistency.

Handle overflow errors in audio capture by adding `exception_on_overflow=False` and skip processing when no data is available.

Add `--disable-echo-cancellation` CLI option and update audio pipeline to support toggling echo cancellation and VAD

Integrate `SileroVAD` into `SpeechMonitor` for optional voice activity detection. Add `_detect_speech()` method and update queue handling logic. Implement `SileroVAD` as a singleton for efficient model management.

Increase queue timeout in audio and text processing services for smoother task handling

Refactor audio processing pipeline to normalize data in `SpeechMonitor` and streamline queuing in `AudioCapture`

Update `AudioCapture` to support both PyAudio and macOS native AEC＋VAD libraries

Refactor to replace `EchoCancellingAudioCapture` with `AudioCapture` across the codebase for improved clarity and flexibility

Clean input text in MoYoYo TTS by removing punctuation for better processing

Refactor LlamaCpp initialization to simplify parameter handling and remove unused callback manager

Enable debug mode with global configuration and detailed task logging when active

Reset task ID in speech recognizer for empty transcriptions to prevent errors

Add new voice model "Doubao" to MoYoYo configuration

Update performance logging format in TTS player for improved structure and readability

Enhance launcher startup log formatting for improved readability and visual appeal

Remove commented-out performance logging code from TTS player

Add new voice model "Ellen" to MoYoYo configuration

Update MoYoYo TTS prompt text for improved relevance and clarity

Improve speech recognizer to handle empty transcriptions

Simplify system prompts for text generation in Chinese and English

Add new voice model "Juniper" to MoYoYo configuration

Standardize punctuation for system prompts in both Chinese and English text generation modules.