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} from 'dvgateway-adapters/tts';\n\nconst gw = new DVGatewayClient({\n  baseUrl: 'http://localhost:8080',           // DVGateway API 서버 (:8080)\n  auth: { type: 'apiKey', apiKey: 'your_key' },\n});\n\nawait gw.pipeline()\n  .stt(new DeepgramAdapter({ apiKey: '...', language: 'ko' }))\n  .llm(new AnthropicAdapter({ apiKey: '...', model: 'claude-sonnet-4-6' }))\n  .tts(new ElevenLabsAdapter({ apiKey: '...' }))\n  .start();\n```\n\n---\n\n## Python SDK\n\n### 설치\n\n```bash\npip install \"dvgateway[adapters]\" python-dotenv\n```\n\n### 30초 시작 가이드\n\n```python\nimport asyncio\nimport os\nfrom dotenv import load_dotenv\n\nfrom dvgateway import DVGatewayClient\nfrom dvgateway.adapters.stt import DeepgramAdapter\nfrom dvgateway.adapters.llm import AnthropicAdapter\nfrom dvgateway.adapters.tts import ElevenLabsAdapter\n\nload_dotenv()\n\nasync def main():\n    gw = DVGatewayClient(\n        base_url=\"http://localhost:8080\",\n        auth={\"type\": \"apiKey\", \"api_key\": os.environ[\"DV_API_KEY\"]},\n    )\n\n    await (\n        gw.pipeline()\n        .stt(DeepgramAdapter(api_key=os.environ[\"DEEPGRAM_API_KEY\"], language=\"ko\"))\n        .llm(AnthropicAdapter(api_key=os.environ[\"ANTHROPIC_API_KEY\"], model=\"claude-sonnet-4-6\"))\n        .tts(ElevenLabsAdapter(api_key=os.environ[\"ELEVENLABS_API_KEY\"]))\n        .start()\n    )\n\nasyncio.run(main())\n```\n\n### Python — 로컬 어댑터 (오프라인)\n\nPython SDK는 로컬 STT/LLM 어댑터를 추가로 지원합니다. 인터넷 없이 완전 오프라인 운영이 가능합니다.\n\n```bash\n# 로컬 어댑터 추가 패키지\npip install faster-whisper        # Faster-Whisper STT\npip install openai-whisper        # OpenAI Whisper STT (공식)\n# Ollama는 별도 설치: https://ollama.com/install.sh\n```\n\n```python\n# 완전 오프라인 파이프라인\nfrom dvgateway.adapters.stt import FasterWhisperAdapter\nfrom dvgateway.adapters.llm import OllamaAdapter\n\nawait (\n    gw.pipeline()\n    # Faster-Whisper: 로컬 고속 STT\n    .stt(FasterWhisperAdapter(\n        model=\"large-v3\",\n        device=\"cpu\",           # GPU: \"cuda\"\n        compute_type=\"int8\",    # GPU: \"float16\"\n        language=\"ko\",\n        vad_enabled=True,\n    ))\n    # Qwen via Ollama: 로컬 LLM\n    .llm(OllamaAdapter(\n        base_url=\"http://localhost:11434\",\n        model=\"qwen3.5:9b\",\n        system_prompt=\"친절한 한국어 AI 상담원입니다.\",\n        options={\"think\": False},\n    ))\n    .tts(ElevenLabsAdapter(api_key=\"...\"))  # TTS는 ElevenLabs 권장\n    .start()\n)\n```\n\n### Node.js — OpenAI Realtime (Speech-to-Speech)\n\nFor sub-300ms end-to-end latency, use the Realtime adapter to bypass the STT→LLM→TTS chain entirely:\n\n```typescript\nimport { DVGatewayClient } from 'dvgateway-sdk';\nimport { OpenAIRealtimeAdapter } from 'dvgateway-adapters/realtime';\n\nconst gw = new DVGatewayClient({\n  baseUrl: 'http://localhost:8080',\n  auth: { type: 'apiKey', apiKey: 'your_key' },\n});\n\nconst realtime = new OpenAIRealtimeAdapter({\n  apiKey: process.env.OPENAI_API_KEY!,\n  model: 'gpt-4o-mini-realtime-preview',  // cost-efficient; use gpt-4o-realtime-preview for best quality\n  voice: 'alloy',                          // alloy | echo | nova | shimmer | ash | coral | sage | verse\n  instructions: 'You are a helpful voice assistant. Keep answers short and conversational.',\n  turnDetection: { mode: 'server_vad', silenceDurationMs: 500 },\n  inputTranscription: true,\n});\n\nrealtime.onAudioOutput((chunk, linkedId) => gw.injectAudio(linkedId, chunk));\nrealtime.onTranscript((result) => console.log(`[${result.speaker}] ${result.text}`));\n\ngw.onCallEvent(async (event) => {\n  if (event.type === 'call:new') {\n    const audioStream = gw.streamAudio(event.session.linkedId, { dir: 'in' });\n    await realtime.startSession(event.session.linkedId, audioStream);\n  }\n  if (event.type === 'call:ended') {\n    await realtime.stop(event.linkedId);\n  }\n});\n\nawait gw.connect();\n```\n\n**Realtime vs cascaded pipeline:**\n\n| | Cascaded (STT→LLM→TTS) | Realtime (Speech-to-Speech) |\n|--|---|---|\n| Latency | ~500ms | ~300ms |\n| Cost | per-service billing | single API call |\n| Control | full per-step control | unified session |\n| Best for | complex agents, custom logic | low-latency voice bots |\n\n---\n\n---\n\n### 사람다운 음성 최적화 (Human Voice Options)\n\nTTS 어댑터에 **사람다운 음성** 옵션이 내장되어 있습니다. 기본값은 **한국어 대화**에 최적화되어 있으며, 자연스러운 쉼, 숨소리, 필러 단어, 감탄사, 감정 표현을 제어할 수 있습니다.\n\n```typescript\nimport { ElevenLabsAdapter } from 'dvgateway-adapters/tts';\nimport { OpenAITtsAdapter } from 'dvgateway-adapters/tts';\n\n// ✅ 기본값: 한국어 최적화 (humanVoice 자동 활성화)\nconst tts = new ElevenLabsAdapter({ apiKey: '...' });\n// → stability: 0.3, style: 0.6, model: eleven_multilingual_v2\n\n// ✅ OpenAI: gpt-4o-mini-tts 자동 선택 + 음성 지시 자동 생성\nconst openaiTts = new OpenAITtsAdapter({ apiKey: '...' });\n// → model: gpt-4o-mini-tts, voiceInstructions 자동 생성\n\n// ✅ 커스텀 설정\nconst customTts = new ElevenLabsAdapter({\n  apiKey: '...',\n  humanVoice: {\n    naturalPauses: true,      // 문장 사이 자연스러운 쉼\n    breathingSounds: true,    // 숨소리 포함\n    fillerWords: false,       // 필러 단어 비활성화 (음, 어, 그...)\n    exclamations: true,       // 감탄사 (아, 네, 맞아요...)\n    emotionalRange: 0.8,      // 감정 표현 범위 (0.0–1.0)\n    speechVariation: 0.7,     // 음성 변화도 (0.0–1.0)\n  },\n});\n\n// ❌ 비활성화: 기존 방식 사용\nconst flatTts = new ElevenLabsAdapter({\n  apiKey: '...',\n  humanVoice: false,\n  // → stability: 0.5, style: 0.0, model: eleven_flash_v2_5 (기존 기본값)\n});\n```\n\n#### HumanVoiceOptions 인터페이스\n\n| 옵션 | 타입 | 기본값 (KO) | 설명 |\n|------|------|-------------|------|\n| `naturalPauses` | `boolean` | `true` | 문장·절 사이 자연스러운 쉼 |\n| `breathingSounds` | `boolean` | `true` | 긴 문장 사이 숨소리 |\n| `fillerWords` | `boolean` | `true` | 필러 단어 (음, 어, 그, 저) |\n| `exclamations` | `boolean` | `true` | 감탄사 (아, 네, 맞아요) |\n| `emotionalRange` | `number` | `0.6` | 감정 표현 범위 (0.0–1.0) |\n| `speechVariation` | `number` | `0.7` | 음성 변화도 (0.0–1.0) |\n\n#### 프로바이더별 매핑\n\n| HumanVoiceOptions | ElevenLabs | OpenAI (gpt-4o-mini-tts) |\n|---|---|---|\n| `emotionalRange` | → `style` 파라미터 | → voiceInstructions 감정 지시 |\n| `speechVariation` | → `stability` (역비례: 1.0 - variation) | → voiceInstructions 톤 변화 지시 |\n| `naturalPauses` | 모델 내장 (multilingual v2) | → voiceInstructions 쉼 지시 |\n| `breathingSounds` | 모델 내장 (multilingual v2) | → voiceInstructions 숨소리 지시 |\n| `fillerWords` | 모델 내장 | → voiceInstructions 필러 단어 지시 |\n| `exclamations` | 모델 내장 | → voiceInstructions 감탄사 지시 |\n\n#### 프리셋\n\n```typescript\nimport { HUMAN_VOICE_DEFAULTS_KO, HUMAN_VOICE_DEFAULTS_EN } from 'dvgateway-sdk';\n\n// 한국어 기본값 (기본 적용)\nHUMAN_VOICE_DEFAULTS_KO  // { naturalPauses: true, breathingSounds: true, fillerWords: true, ... }\n\n// 영어 기본값\nHUMAN_VOICE_DEFAULTS_EN  // { naturalPauses: true, breathingSounds: true, fillerWords: false, ... }\n```\n\n---\n\n### ElevenLabs 한국어 네이티브 보이스\n\nElevenLabs Voice Library에서 선별한 **9개 한국어 네이티브 음성**이 내장되어 있습니다:\n\n```typescript\nimport { ELEVENLABS_KOREAN_VOICES } from 'dvgateway-adapters';\n\n// 내장 한국어 음성 목록\nfor (const voice of ELEVENLABS_KOREAN_VOICES) {\n  console.log(`${voice.id} — ${voice.label}`);\n}\n// pjJMvFj0JGWi3mogOkHH — Hyun Bin (남성, 한국어)\n// t0jbNlBVZ17f02VDIeMI — 지영 / JiYoung (여성, 한국어)\n// zrHiDhphv9ZnVXBqCLjz — Jennie (여성, 한국어)\n// ZJCNdOEhQGMOIbMuhBME — Han Aim (남성, 한국어)\n// ova4yY2jqnnUdGOmTGbx — KKC HQ (남성, 한국어)\n// Xb7hH8MSUJpSbSDYk0k2 — Anna Kim (여성, 한국어)\n// XrExE9yKIg1WjnnlVkGX — Yuna (여성, 한국어)\n// ThT5KcBeYPX3keUQqHPh — Jina (여성, 한국어)\n// Sita5M0jWFxPiECPABjR — jjeong (여성, 한국어)\n\n// 한국어 음성으로 TTS 생성\nconst tts = new ElevenLabsAdapter({\n  apiKey: '...',\n  voiceId: ELEVENLABS_KOREAN_VOICES[0].id,  // Hyun Bin\n});\n```\n\n```python\n# Python\nfrom dvgateway.adapters.tts import ElevenLabsAdapter, KOREAN_VOICES\n\nfor voice in KOREAN_VOICES:\n    print(f\"{voice.id} — {voice.label}\")\n\ntts = ElevenLabsAdapter(api_key=\"...\", voice_id=KOREAN_VOICES[0].id)\n```\n\n---\n\n### ElevenLabs Voice Fetch (동적 음성 목록 조회)\n\nElevenLabs 계정에 등록된 **모든 음성**(기본, 클론, 라이브러리)을 동적으로 조회합니다:\n\n```typescript\nimport { ElevenLabsAdapter } from 'dvgateway-adapters/tts';\n\n// API에서 사용 가능한 모든 음성 조회\nconst voices = await ElevenLabsAdapter.fetchVoices('your-elevenlabs-api-key');\nfor (const v of voices) {\n  console.log(`${v.id} — ${v.label}`);\n  // 클론된 음성: \"My Voice (클론) [ko]\"\n  // 생성된 음성: \"Custom Voice (생성됨)\"\n}\n```\n\n```python\n# Python\nvoices = await ElevenLabsAdapter.fetch_voices(\"your-elevenlabs-api-key\")\nfor v in voices:\n    print(f\"{v.id} — {v.label}\")\n```\n\n**DVGateway REST API:**\n```\nGET /api/v1/config/apikeys/voices/elevenlabs/fetch\n```\n\n---\n\n### ElevenLabs Voice Cloning (음성 복제)\n\n오디오 파일을 업로드하여 **커스텀 음성을 생성**합니다:\n\n```typescript\nimport { ElevenLabsAdapter } from 'dvgateway-adapters/tts';\nimport { readFileSync } from 'fs';\n\n// 오디오 파일에서 음성 복제\nconst audioData = readFileSync('./my-voice-sample.wav');\nconst newVoice = await ElevenLabsAdapter.cloneVoice(\n  'your-elevenlabs-api-key',\n  '내 목소리',           // 음성 이름\n  audioData,             // 오디오 데이터 (WAV, MP3, OGG)\n  'my-voice-sample.wav', // 파일명\n  '한국어 남성 음성',     // 설명 (선택)\n);\n\nconsole.log(`클론된 음성 ID: ${newVoice.id}`);  // → 새로운 voice_id\n\n// 클론된 음성으로 TTS 생성\nconst tts = new ElevenLabsAdapter({\n  apiKey: '...',\n  voiceId: newVoice.id,\n});\n```\n\n```python\n# Python\naudio_data = open(\"./my-voice-sample.wav\", \"rb\").read()\nnew_voice = await ElevenLabsAdapter.clone_voice(\n    api_key=\"your-elevenlabs-api-key\",\n    name=\"내 목소리\",\n    audio_data=audio_data,\n    file_name=\"my-voice-sample.wav\",\n    description=\"한국어 남성 음성\",\n)\nprint(f\"클론된 음성 ID: {new_voice.id}\")\n```\n\n**DVGateway REST API:**\n```\nPOST /api/v1/config/apikeys/voices/elevenlabs/clone\nContent-Type: multipart/form-data\nFields: name, description (optional), file (audio)\n```\n\n---\n\n### TTS 캐싱 (CachedTtsAdapter)\n\n디스크 기반 TTS 오디오 캐싱으로 **비용 절감**과 **응답 속도 향상**을 동시에 달성합니다:\n\n```typescript\nimport { CachedTtsAdapter, ElevenLabsAdapter } from 'dvgateway-adapters';\n\nconst inner = new ElevenLabsAdapter({ apiKey: '...' });\nconst tts = new CachedTtsAdapter(inner, {\n  provider: 'elevenlabs',\n  cacheDir: './tts-cache',\n  ttlMs: 7 * 24 * 60 * 60 * 1000,  // 7일\n  maxEntries: 1000,                 // LRU 제한\n});\n\n// 자주 사용하는 안내 멘트 사전 캐싱\nawait tts.warmup([\n  { text: '안녕하세요, 무엇을 도와드릴까요?' },\n  { text: '잠시만 기다려 주세요.' },\n  { text: '감사합니다. 좋은 하루 되세요.' },\n]);\n\n// 캐시 히트 시 즉시 응답 (API 호출 없음)\nconst stats = tts.getStats();\nconsole.log(`캐시 히트: ${stats.hits}, 미스: ${stats.misses}`);\n```\n\n```python\n# Python\nfrom dvgateway.adapters.tts import CachedTtsAdapter, ElevenLabsAdapter\n\ninner = ElevenLabsAdapter(api_key=\"...\")\ntts = CachedTtsAdapter(inner, provider=\"elevenlabs\", cache_dir=\"./tts-cache\")\n\nawait tts.warmup([\n    {\"text\": \"안녕하세요, 무엇을 도와드릴까요?\"},\n    {\"text\": \"잠시만 기다려 주세요.\"},\n])\n```\n\n---\n\n### STT 옵션 (SttOptions)\n\nSTT 어댑터에 전달 가능한 프로바이더 독립적 옵션입니다.\n\n```typescript\nimport type { SttOptions } from 'dvgateway-sdk';\n\nconst sttOptions: SttOptions = {\n  language: 'ko',              // 언어 코드\n  diarize: true,               // 화자 분리\n  vadSensitivity: 'medium',    // VAD 감도 (low/medium/high)\n  endpointingMs: 300,          // 발화 종료 감지 (ms)\n  utteranceEndMs: 800,         // 발화 최종 확정 (ms, 한국어 최적화)\n  interimResults: true,        // 중간 결과 수신\n  smartFormat: true,           // 스마트 포맷팅 (숫자, 날짜, 구두점)\n  keywords: ['DVGateway', 'AI'], // 도메인 키워드 부스트\n  punctuate: true,             // 구두점 자동 추가\n  profanityFilter: false,      // 비속어 필터\n  sentiment: true,             // 감정 분석 (Deepgram Nova-3)\n};\n```\n\n---\n\n### 감정 분석 (Sentiment Analysis)\n\nDeepgram Nova-3 모델에서 **실시간 감정 분석**을 지원합니다. 각 발화(transcript segment)를 `positive` / `neutral` / `negative`로 분류하고 신뢰도 점수를 반환합니다.\n\n```typescript\nimport { DeepgramAdapter } from 'dvgateway-adapters/stt';\n\n// sentiment: true 로 감정 분석 활성화\nconst stt = new DeepgramAdapter({\n  apiKey: '...',\n  language: 'ko',\n  sentiment: true,  // 감정 분석 활성화\n});\n\ngw.pipeline()\n  .stt(stt)\n  .onTranscript((result, session) => {\n    console.log(`[${result.speaker}] ${result.text}`);\n    if (result.sentiment) {\n      console.log(`  감정: ${result.sentiment.sentiment} (${result.sentiment.sentimentScore})`);\n      // → 감정: positive (0.87)\n    }\n  })\n  .start();\n```\n\n```python\n# Python\nfrom dvgateway.adapters.stt import DeepgramAdapter\n\nstt = DeepgramAdapter(api_key=\"...\", language=\"ko\", sentiment=True)\n\n# result.sentiment.sentiment → \"positive\" | \"neutral\" | \"negative\"\n# result.sentiment.sentiment_score → 0.0–1.0\n```\n\n#### SentimentResult 인터페이스\n\n| 필드 | 타입 | 설명 |\n|------|------|------|\n| `sentiment` | `'positive' \\| 'neutral' \\| 'negative'` | 세그먼트 감정 분류 |\n| `sentimentScore` | `number` | 감정 신뢰도 점수 (0.0–1.0) |\n\n> 대시보드에서도 Deepgram STT 프로바이더 설정에서 \"감정 분석\" 체크박스로 활성화할 수 있습니다.\n\n---\n\n### Node.js vs Python SDK 비교\n\n| 항목 | Node.js | Python |\n|------|---------|--------|\n| 패키지 | `dvgateway-sdk` | `dvgateway` |\n| 어댑터 | `dvgateway-adapters` | `dvgateway-adapters` |\n| 이벤트 핸들러 | `.onNewCall(cb)` | `.on_new_call(cb)` |\n| 비동기 | `async/await` | `asyncio` |\n| Realtime (S2S) | ✅ `OpenAIRealtimeAdapter` | ✅ `OpenAIRealtimeAdapter` |\n| 로컬 STT 지원 | whisper.cpp (외부 서버) | ✅ whisper.cpp, Faster-Whisper, OpenAI Whisper (인프로세스) |\n| 로컬 LLM 지원 | Ollama (외부 서버) | ✅ Ollama, vLLM (OpenAI 호환) |\n\n## DVGateway 포트 구조\n\n| 포트 | 용도 |\n|------|------|\n| `:8080` | API 서버 — AI SDK가 연결하는 포트 |\n| `:8081` | 대시보드 UI |\n| `:8092` | 미디어 서버 — Dynamic VoIP ExternalMedia WebSocket (`GW_MEDIA_ADDR` 기본값) |\n| `:8088` | Dynamic VoIP ARI HTTP — DVGateway가 Dynamic VoIP에 연결할 때 사용 |\n\n> ⚠️ SDK는 항상 **:8080 API 서버**에 연결합니다. `:8092`는 Dynamic VoIP가 DVGateway에 연결하는 포트입니다.\n\n## 아키텍처\n\n```\nDynamic VoIP PBX\n    │ ExternalMedia WebSocket (slin16, 16kHz)\n    ↓\nDVGateway (:8092 미디어 서버)\n    │\n    ↓\nDVGateway API (:8080)\n    │  ├── /api/v1/ws/callinfo    콜 이벤트\n    │  ├── /api/v1/ws/stream      오디오 스트림 (AI → 구독)\n    │  └── /api/v1/ws/tts/{id}    TTS 주입 (AI → Dynamic VoIP)\n    │\n    ↓\ndvgateway-sdk (이 패키지)\n    │\n    ├── SttAdapter      (Deepgram, Google Chirp3, whisper.cpp, Faster-Whisper, ...)\n    ├── LlmAdapter      (Anthropic Claude, OpenAI GPT, Ollama/Qwen, ...)\n    ├── TtsAdapter      (ElevenLabs, OpenAI TTS, Gemini TTS, CosyVoice, ...)\n    └── RealtimeAdapter (OpenAI Realtime — speech-to-speech, bypasses STT/LLM/TTS)\n```\n\n## 오디오 포맷\n\nDVGateway는 **slin16** 포맷으로 오디오를 전송합니다:\n- 샘플레이트: 16,000 Hz\n- 비트깊이: 16-bit signed integer\n- 채널: Mono (1채널)\n- 엔디안: Little-endian\n- 프레임 크기: 640 bytes = 320 samples = **20ms**\n\nSDK는 자동으로 `slin16 → Float32Array [-1.0, 1.0]`으로 변환합니다.\n\n## API 참조\n\n### 고수준 API (파이프라인 빌더)\n\n```typescript\ngw.pipeline()\n  .stt(adapter)                    // STT 어댑터 설정\n  .llm(adapter)                    // LLM 어댑터 설정 (선택)\n  .tts(adapter)                    // TTS 어댑터 설정 (선택)\n  .audioFilter({ dir: 'in' })      // 오디오 방향 필터 (both/in/out)\n  .onNewCall(handler)              // 새 콜 이벤트\n  .onCallEnded(handler)            // 콜 종료 이벤트\n  .onTranscript(handler)           // 전사 결과 이벤트\n  .onError(handler)                // 오류 이벤트\n  .start()                         // 시작 (Promise — 중단할 때까지 실행)\n```\n\n### 중간수준 API\n\n```typescript\n// 오디오 스트림 구독\nconst stream = gw.streamAudio(linkedId, { dir: 'both' });\nfor await (const chunk of stream) {\n  // chunk.samples: Float32Array\n}\n\n// TTS 주입 (주의: Promise는 iterator 소진 시 해결되며, 실제 재생 완료가 아님)\nawait gw.injectTts(linkedId, tts.synthesize('안녕하세요'));\n\n// 컨퍼런스 TTS 브로드캐스트\nawait gw.broadcastTts(confId, tts.synthesize('안내말씀'));\n\n// 콜 이벤트 구독\nconst unsub = gw.onCallEvent((event) => { /* ... */ });\n\n// ── TTS 재생 완료 이벤트 (v1.4+) ─────────────────────────────────\n// injectTts() 후 실제 게이트웨이가 DVGateway에 모든 프레임을 전송 완료한\n// 시점을 정확히 감지. IVR 순차 안내, S2S AI 발화 종료 포착 등에 사용.\ngw.onTtsComplete(async (ev) => {\n  if (ev.linkedId !== linkedId) return;\n  await gw.injectTts(linkedId, tts.synthesize('1번을 눌러주세요'));\n});\n\n// 세션 관리\nconst sessions = await gw.listSessions();\n// ⚠️ updateSessionMeta() 는 게이트웨이에 해당 API 가 없어 DVGatewayUnsupportedError 를 던진다.\n//    CRM 값은 Stasis 인자 custom_value_01~03 → session.customValue1~3 으로 넘긴다.\n\n// 회의록 (게이트웨이 자체 STT 가 만든다 · GET /api/v1/conferences/{confId})\n// 진행 중=실시간 회의록 · 종료 후=저장본(게이트웨이 1.4.16.285+, 없으면 404)\n// ⚠️ submitTranscript() 는 게이트웨이에 해당 API 가 없어 DVGatewayUnsupportedError 를 던진다.\nconst minutes = await gw.downloadMinutes(confId, 'txt');\n```\n\n### Comfort Noise — AI 처리 중 Dead Air 방지\n\nAI 음성 봇의 STT → LLM → TTS 처리 중 발생하는 무음(dead air)을 방지합니다.\n게이트웨이 설정에서 `GW_COMFORT_NOISE_ENABLED=true`를 설정하면 활성화됩니다.\n\n**파이프라인 빌더 사용 시 자동 동작 (별도 코드 불필요):**\n\n```typescript\n// 파이프라인 빌더가 내부적으로 thinking:start/stop 시그널을 자동 전송합니다.\n// STT 완료 → thinking:start (배경음 시작)\n// LLM 완료 → thinking:stop (배경음 중단) → TTS 재생\nawait gw.pipeline()\n  .stt(sttAdapter).llm(llmAdapter).tts(ttsAdapter)\n  .start();\n```\n\n**수동 제어 — WebSocket 시그널 (저레이턴시):**\n\n```typescript\nconst audioStream = gw.streamAudio(linkedId);\n\n// STT 완료 시\naudioStream.sendThinkingStart();    // comfort noise 시작\n\n// LLM + TTS 준비 완료 시\naudioStream.sendThinkingStop();     // comfort noise 중단 (fade-out)\nawait gw.injectTts(linkedId, tts.synthesize(response));\n```\n\n**수동 제어 — REST API:**\n\n```typescript\nawait gw.startThinking(linkedId);   // POST /api/v1/comfort/{linkedId}/start\nawait gw.stopThinking(linkedId);    // POST /api/v1/comfort/{linkedId}/stop\n```\n\n**Python SDK:**\n\n```python\n# 수동 WebSocket 시그널\naudio_stream = gw.stream_audio(linked_id)\nawait audio_stream.send_thinking_start()\nawait audio_stream.send_thinking_stop()\n\n# 수동 REST API\nawait gw.start_thinking(linked_id)\nawait gw.stop_thinking(linked_id)\n```\n\n**게이트웨이 환경변수:**\n\n| 변수 | 기본값 | 설명 |\n|------|--------|------|\n| `GW_COMFORT_NOISE_ENABLED` | `false` | 기능 활성화 |\n| `GW_COMFORT_NOISE_LEVEL` | `-50` | 노이즈 레벨 dBFS (-60=미약, -50=미묘, -40=인지 가능) |\n| `GW_COMFORT_NOISE_FILE` | (없음) | 커스텀 PCM 파일 경로 (16kHz, 16-bit LE, headerless) |\n\n## 멀티 테넌트 (Multi-Tenant API)\n\nDVGateway는 멀티 테넌트 격리를 기본 지원합니다. 테넌트별로 세션, TTS, 이벤트가 완전히 분리되며, SDK에서 `tenantId` 하나만 설정하면 모든 API 호출이 해당 테넌트 범위로 자동 제한됩니다.\n\n### 서버 설정\n\n```bash\n# .env 또는 docker-compose 환경 변수\nTENANT_CREDENTIALS=\"acme:password1,contoso:password2\"   # 테넌트별 로그인 자격증명\nDASHBOARD_PASSWORD=admin-secret                          # 관리자(전체 접근) 패스워드\nJWT_SECRET=random-secret-at-least-24-chars               # JWT 서명 시크릿\nTENANT_LIMITS=\"acme:10,contoso:20\"                       # 테넌트별 동시 통화 한도\nGW_RATE_LIMIT_RPM=300                                    # 테넌트당 분당 요청 한도 (기본: 300)\n```\n\n### SDK 테넌트 연결\n\n#### Node.js\n\n```typescript\nimport { DVGatewayClient } from 'dvgateway-sdk';\n\n// 테넌트 ID를 설정하면 모든 API 호출에 X-Tenant-ID 헤더가 자동 추가됩니다.\nconst gw = new DVGatewayClient({\n  baseUrl: 'http://localhost:8080',\n  auth: { type: 'apiKey', apiKey: process.env.DV_API_KEY! },\n  tenantId: 'acme',  // ← 이 테넌트의 세션만 접근 가능\n});\n\n// 이 테넌트 소유 세션만 반환됩니다\nconst sessions = await gw.listSessions();\nconsole.log(`acme 테넌트 활성 세션: ${sessions.length}건`);\n\n// 다른 테넌트 세션에 TTS 주입 시 403 Forbidden 반환\n// await gw.injectTts('other-tenant-linked-id', audio);  // → 403\n\n// 파이프라인도 테넌트 범위로 동작합니다\nawait gw.pipeline()\n  .stt(new DeepgramAdapter({ apiKey: '...' }))\n  .llm(new AnthropicAdapter({ apiKey: '...', model: 'claude-sonnet-4-6' }))\n  .tts(new ElevenLabsAdapter({ apiKey: '...' }))\n  .onNewCall((session) => {\n    console.log(`[${session.tenantId}] 새 콜: ${session.linkedId}`);\n  })\n  .start();\n```\n\n#### Python\n\n```python\nimport asyncio\nimport os\nfrom dotenv import load_dotenv\nfrom dvgateway import DVGatewayClient\n\nload_dotenv()\n\nasync def main():\n    gw = DVGatewayClient(\n        base_url=\"http://localhost:8080\",\n        auth={\"type\": \"apiKey\", \"api_key\": os.environ[\"DV_API_KEY\"]},\n        tenant_id=\"acme\",  # ← 이 테넌트 범위로 제한\n    )\n\n    # 테넌트 소유 세션만 조회\n    sessions = await gw.list_sessions()\n    print(f\"acme 테넌트 활성 세션: {len(sessions)}건\")\n\nasyncio.run(main())\n```\n\n### 테넌트별 세션 조회\n\n```typescript\n// 방법 1: 클라이언트 생성 시 tenantId 설정 (권장)\nconst gw = new DVGatewayClient({\n  baseUrl: 'http://localhost:8080',\n  auth: { type: 'apiKey', apiKey: '...' },\n  tenantId: 'acme',\n});\nconst sessions = await gw.listSessions();  // acme 세션만 반환\n\n// 방법 2: 관리자 클라이언트에서 특정 테넌트 세션 조회\nconst adminGw = new DVGatewayClient({\n  baseUrl: 'http://localhost:8080',\n  auth: { type: 'apiKey', apiKey: '...' },\n  // tenantId 미설정 → 관리자 모드 (전체 접근)\n});\nconst acmeSessions = await adminGw.listSessionsByTenant('acme');\nconst contosoSessions = await adminGw.listSessionsByTenant('contoso');\n```\n\n### 테넌트 격리 동작\n\n| 동작 | 결과 |\n|------|------|\n| `listSessions()` | JWT의 tenantID로 자동 필터링, 해당 테넌트 세션만 반환 |\n| `listSessionsByTenant(id)` | 특정 테넌트 세션 조회 (관리자 또는 본인 테넌트만) |\n| TTS 주입 (`injectTts`, `say`) | 소유 세션만 허용, 타 테넌트 세션 접근 시 **403 Forbidden** |\n| 컨퍼런스 TTS (`broadcastTts`) | 소유 컨퍼런스만 허용, 타 테넌트 접근 시 **403 Forbidden** |\n| 콜 이벤트 (`onCallEvent`) | 전체 이벤트 수신 (이벤트 내 `tenantId` 필드로 필터링 가능) |\n| 세션 상세 (`GET /sessions/{id}`) | 소유 세션만 조회 가능, 타 테넌트 접근 시 **403 Forbidden** |\n\n### 콜 이벤트 테넌트 필터링\n\n```typescript\ngw.onCallEvent((event) => {\n  if (event.type === 'call:new') {\n    // event.tenantId로 테넌트 식별 가능\n    console.log(`[${event.tenantId}] 새 콜: ${event.session.linkedId}`);\n    console.log(`  발신: ${event.session.caller} → 착신: ${event.session.callee}`);\n  }\n});\n```\n\n### Rate Limiting (요청 제한)\n\n테넌트별 분당 요청 수가 제한됩니다 (기본: 300 RPM).\n\n```\nHTTP/1.1 429 Too Many Requests\nRetry-After: 60\nContent-Type: application/json\n\n{\"error\": \"rate limit exceeded\", \"retryAfter\": 60}\n```\n\nSDK는 429 응답 시 자동으로 지수 백오프 재시도합니다.\n\n### 감사 로그\n\n모든 API 접근은 JSON Lines 형식으로 기록됩니다:\n\n```json\n{\"ts\":\"2026-03-17T10:00:00Z\",\"tenantId\":\"acme\",\"method\":\"GET\",\"path\":\"/api/v1/sessions\",\"status\":200,\"action\":\"api_access\"}\n{\"ts\":\"2026-03-17T10:00:05Z\",\"tenantId\":\"acme\",\"method\":\"POST\",\"path\":\"/api/v1/tts/linked-99\",\"status\":403,\"action\":\"cross_tenant_attempt\"}\n```\n\n기록 이벤트:\n- `api_access` — 정상 API 요청\n- `auth_failed` — JWT 없음 또는 검증 실패\n- `rate_limited` — 요청 한도 초과\n- `cross_tenant_attempt` — 타 테넌트 리소스 접근 시도 (JWT와 요청 대상 불일치)\n\n### 인증 모드 요약\n\n| 모드 | 설정 | tenantId | admin | 접근 범위 |\n|------|------|----------|-------|----------|\n| 인증 비활성화 | 미설정 | — | true | 전체 (개발용) |\n| 단일 테넌트 | `DASHBOARD_PASSWORD`만 | `\"\"` | true | 전체 |\n| 멀티 테넌트 (일반) | `TENANT_CREDENTIALS` 로그인 | `\"acme\"` | false | 해당 테넌트만 |\n| 멀티 테넌트 (관리자) | `DASHBOARD_PASSWORD` 로그인 | `\"\"` | true | 전체 + 설정 API |\n\n---\n\n## 고급 통화 제어\n\n| 메서드 | 설명 |\n|--------|------|\n| `await gw.collectDtmf({ linkedId, ... })` | DTMF 키 수집 (타임아웃, 종료 키, STT 자동 뮤트 포함) |\n| `await gw.muteStt(linkedId)` | STT 입력 뮤트 (DTMF 입력 중 음성 인식 차단) |\n| `await gw.unmuteStt(linkedId)` | STT 뮤트 해제 |\n| `await gw.playAudio({ linkedId, audioUrl: ..., ... })` | 통화 채널에 오디오 파일 재생 |\n| `await gw.stopAudio(linkedId)` | 재생 중인 오디오 중단 |\n| `await gw.warmTransfer({ linkedId, ... })` | 상담원 이관 — 내선 또는 외부 PSTN 번호 (`outbound: true`, `cidNumber`, `cidName`, `accountCode` 지원). whisper 안내는 이관 대상에게만 들림 (활성 클라우드 TTS 프로바이더 필요) |\n\n자세한 옵션 및 예제는 [docs/sdk-guide/13-voice-flow-controls.md](../../docs/sdk-guide/13-voice-flow-controls.md) 참조.\n\n## 보안\n\n- **API Key → JWT 자동 교환**: SDK가 내부적으로 처리, 사용자 코드에서 토큰 관리 불필요\n- **PII 자동 마스킹**: 로그에서 전화번호 등 개인정보 자동 제거 (기본 활성화)\n- **TLS 강제**: `http://`를 `https://`로 자동 업그레이드 (프로덕션)\n- **mTLS 지원**: 기업 환경의 클라이언트 인증서 지원\n\n## 서비스 지속성\n\n- **자동 재연결**: WebSocket 끊김 시 지수 백오프(Exponential backoff)로 자동 재연결\n- **활성 콜 보호**: 재연결 후 진행 중인 콜 자동 재구독\n- **재연결 설정**:\n  ```typescript\n  new DVGatewayClient({\n    reconnect: {\n      maxAttempts: 10,        // 최대 재시도 횟수\n      initialDelayMs: 2000,   // 첫 재시도 대기 (2초)\n      maxDelayMs: 30_000,     // 최대 대기 (30초)\n      backoffMultiplier: 2.0, // 대기 시간 배수\n    },\n  });\n  ```\n\n## 메트릭\n\n```typescript\n// 레이턴시 통계\ngw.metrics.logSummary();\n\n// Prometheus 형식으로 내보내기\nconst promText = gw.metrics.toPrometheus();\n```\n\n수집 메트릭:\n- `dvgw_stt_latency_ms` — STT 응답 시간\n- `dvgw_llm_ttft_ms` — LLM 첫 토큰까지 시간\n- `dvgw_tts_latency_ms` — TTS 첫 오디오까지 시간\n- `dvgw_e2e_latency_ms` — 전체 E2E 레이턴시\n- `dvgw_transcripts_total` — 처리된 발화 수\n- `dvgw_errors_total` — 오류 수\n\n## 라이선스\n\nMIT\n","readmeFilename":"README.md"}