Rdzleo ccea0c681c feat: HTTPS故事播放 + RTC/HTTPS双向音频切换状态机 + 协议层优化
1、新增HTTPS故事播放功能:SendStoryRequest通过蓝牙MAC请求故事API,支持intro+body两段式无缝播放,替换原WebSocket故事请求方式;
2、新增HttpsPlaybackFromUrl通用HTTPS音频下载播放方法,支持JSON格式Opus帧流式解码播放;
3、新增RTC↔HTTPS双向音频切换三标志位状态机(opus_playback_active_/https_playback_active_/https_playback_abort_),HTTPS播放期间静默丢弃RTC PCM包,OnAudioOutput捕获is_opus_frame防止残留Opus帧杂音;
4、新增AbortHttpsPlayback中止方法,使用独立高优先级任务(priority=10)执行DMA flush;AbortSpeaking也新增DMA缓冲区flush确保扬声器立即静音;
5、协议层新增OnBotMessage回调,非字幕Bot下行消息立即中止HTTPS播放;volc_rtc_protocol移除is_binary依赖改为直接前缀检测,新增info前缀识别,subv字幕排除on_bot_message_由subtitle handler单独处理;
6、subtitle字幕USER/AI区分从CONFIG_VOLC_DEVICE_NAME比较改为bot_前缀判断,用户说话时立即中止HTTPS播放;
7、Kconfig新增STORY_API_URL故事播放API地址配置;
8、设备注册RTC服务时,设备名称从Wi-Fi MAC地址改为使用蓝牙MAC地址

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 13:45:52 +08:00
2026-02-24 15:57:32 +08:00
2026-02-24 15:57:32 +08:00
2026-02-24 15:57:32 +08:00
dzbj @ 9223fd5a7d
2026-02-27 10:44:58 +08:00
2026-02-24 15:57:32 +08:00
2026-02-24 15:57:32 +08:00
2026-02-24 15:28:34 +08:00

XiaoZhi AI Chatbot

(中文 | English | 日本語)

Introduction

👉 Build your AI chat companion with ESP32+SenseVoice+Qwen72B!【bilibili】

👉 Equipping XiaoZhi with DeepSeek's smart brain【bilibili】

👉 Build your own AI companion, a beginner's guide【bilibili】

Project Purpose

This is an open-source project released under the MIT license, allowing anyone to use it freely, including for commercial purposes.

Through this project, we aim to help more people get started with AI hardware development and understand how to implement rapidly evolving large language models in actual hardware devices. Whether you're a student interested in AI or a developer exploring new technologies, this project offers valuable learning experiences.

Everyone is welcome to participate in the project's development and improvement. If you have any ideas or suggestions, please feel free to raise an Issue or join the chat group.

Learning & Discussion QQ Group: 376893254

Implemented Features

  • Wi-Fi / ML307 Cat.1 4G
  • BOOT button wake-up and interruption, supporting both click and long-press triggers
  • Offline voice wake-up ESP-SR
  • Streaming voice dialogue (WebSocket or UDP protocol)
  • Support for 5 languages: Mandarin, Cantonese, English, Japanese, Korean SenseVoice
  • Voice print recognition to identify who's calling AI's name 3D Speaker
  • Large model TTS (Volcano Engine or CosyVoice)
  • Large Language Models (Qwen, DeepSeek, Doubao)
  • Configurable prompts and voice tones (custom characters)
  • Short-term memory, self-summarizing after each conversation round
  • OLED / LCD display showing signal strength or conversation content
  • Support for LCD image expressions
  • Multi-language support (Chinese, English)

Hardware Section

Breadboard DIY Practice

See the Feishu document tutorial:

👉 XiaoZhi AI Chatbot Encyclopedia

Breadboard demonstration:

Breadboard Demo

Supported Open Source Hardware

Firmware Section

Flashing Without Development Environment

For beginners, it's recommended to first use the firmware that can be flashed without setting up a development environment.

The firmware connects to the official xiaozhi.me server by default. Currently, personal users can register an account to use the Qwen real-time model for free.

👉 Flash Firmware Guide (No IDF Environment)

Development Environment

  • Cursor or VSCode
  • Install ESP-IDF plugin, select SDK version 5.3 or above
  • Linux is preferred over Windows for faster compilation and fewer driver issues
  • Use Google C++ code style, ensure compliance when submitting code

Developer Documentation

AI Agent Configuration

If you already have a XiaoZhi AI chatbot device, you can configure it through the xiaozhi.me console.

👉 Backend Operation Tutorial (Old Interface)

Technical Principles and Private Deployment

👉 Detailed WebSocket Communication Protocol Documentation

For server deployment on personal computers, refer to another MIT-licensed project xiaozhi-esp32-server

Star History

Star History Chart
Description
Baji_Rtc_Toy 这是适配火山RTC通讯版本的电子吧唧项目,基于AI版的ESP32-S3-WROOM-1-N16R8开发板进行适配!
Readme MIT 214 MiB
Languages
C 63.9%
Jupyter Notebook 11.3%
C++ 11.1%
Python 7.2%
Assembly 3.3%
Other 3.1%