af9faf26c9
Dual-channel S2S architecture with full isolation between voice and text links: Backend (Java): - VolcRealtimeProtocol: add createChatTextQueryMessage (event 501) - VoiceSessionState: add textMode / playAudioReply / disableGreeting fields - VoiceWebSocketConfig: register second path /ws/realtime-text (same handler) - VoiceWebSocketHandler: detect text mode from URL path - VoiceGatewayService: * afterConnectionEstablished: overload with textMode flag * handleStart: parse playAudioReply / disableGreeting from client * buildStartSessionPayload: inject input_mod=text for text mode * handleDirectText: text mode sends event 501 directly, skip processReply * handleBinaryMessage: reject client audio in text mode * handleUpstreamBinary: drop S2S audio if text mode + no playback * startAudioKeepalive: skip entirely in text mode (no audio channel) * sendGreeting: skip greeting if disableGreeting=true Frontend (test2 + delivery): - nativeVoiceService: connect accepts clientMode/playAudioReply/disableGreeting * resolveWebSocketUrl accepts wsPath param * Text mode: no microphone capture, no playback context (unless playAudioReply) * New sendText() method for event 501 payload * handleAudioMessage drops audio in text mode without playback * Export NativeVoiceService class for multi-instance usage - ChatPanel (test2): new useS2S / playAudioReply props * useS2S=true: creates NativeVoiceService instance, connects to /ws/realtime-text * subtitle events drive streaming UI, assistant_pending drives loading state * handleSend routes to WebSocket in S2S mode, HTTP/SSE in Coze mode * Voice link code path zero-changed Verification: mvn test VoiceGatewaySmokeTest 20/20 pass, voice link regression-free
ai-knowledge-splitter
@ 92e7fc5bda
AI 知识库文档智能分块工具
将多种格式文档解析为文本，通过 DeepSeek API 进行语义级智能分块，输出为 Markdown 文件。
支持格式
PDF、Word (.docx)、Excel (.xlsx/.xls)、CSV、HTML、TXT/MD、图片 (PNG/JPG/BMP/GIF/WEBP)
安装
cd ai-knowledge-splitter
pip install -r requirements.txt
使用
python main.py <输入文件> -k <DeepSeek API Key> [-o 输出路径] [-d 分隔符]
示例：
# 基本用法（输出为同名 .md 文件）
python main.py report.pdf -k sk-xxxxxxxx
# 指定输出路径
python main.py data.docx -k sk-xxxxxxxx -o output/result.md
# 自定义分隔符
python main.py notes.txt -k sk-xxxxxxxx -d "==="
参数说明
| 参数 | 必需 | 说明 |
|---|---|---|
input_file |
是 | 输入文件路径 |
-k, --api-key |
是 | DeepSeek API Key |
-o, --output |
否 | 输出文件路径（默认：同名 .md） |
-d, --delimiter |
否 | 分块分隔符（默认：---） |
运行测试
cd ai-knowledge-splitter
pytest tests/ -v