빠른 시작

# 기본 (OpenAI Realtime 모드)
npm install @teamlearners/clawops ws openai

# Gemini Realtime 모드
npm install @teamlearners/clawops ws @google/genai

# 파이프라인 모드
npm install @teamlearners/clawops ws @deepgram/sdk openai elevenlabs       # OpenAI LLM
npm install @teamlearners/clawops ws @deepgram/sdk @anthropic-ai/sdk elevenlabs  # Anthropic LLM
npm install @teamlearners/clawops ws @deepgram/sdk @google/genai elevenlabs # Gemini LLM

# MCP 서버 지원 포함
npm install @teamlearners/clawops ws @modelcontextprotocol/sdk

export CLAWOPS_API_KEY="sk_..."
export CLAWOPS_ACCOUNT_ID="AC..."
export OPENAI_API_KEY="sk-..."           # OpenAI Realtime / OpenAILLM
export ANTHROPIC_API_KEY="..."           # AnthropicLLM
export GOOGLE_API_KEY="..."              # Gemini Realtime / GeminiLLM (Google AI)
# 또는 Google Cloud Vertex AI 사용 시 (GOOGLE_API_KEY 불필요)
# export GOOGLE_GENAI_USE_VERTEXAI=true
# export GOOGLE_CLOUD_PROJECT="your-project-id"
# export GOOGLE_CLOUD_LOCATION="us-central1"
export MISTRAL_API_KEY="..."             # MistralLLM
export GROQ_API_KEY="..."               # GroqLLM
export PERPLEXITY_API_KEY="..."          # PerplexityLLM
export TOGETHER_API_KEY="..."            # TogetherLLM
export FIREWORKS_API_KEY="..."           # FireworksLLM
export DEEPSEEK_API_KEY="..."            # DeepSeekLLM
export XAI_API_KEY="..."                 # XaiLLM
export DEEPGRAM_API_KEY="..."            # Pipeline: DeepgramSTT
export ELEVENLABS_API_KEY="..."          # Pipeline: ElevenLabsTTS

import { ClawOpsAgent, OpenAIRealtime } from '@teamlearners/clawops/agent';

const agent = new ClawOpsAgent({
  from: '07012341234',
  session: new OpenAIRealtime({
    systemPrompt: '친절한 고객센터 상담원입니다.',
  }),
});

await agent.serve(); // Ctrl+C로 종료

import { ClawOpsAgent, OpenAIRealtime } from '@teamlearners/clawops/agent';

const agent = new ClawOpsAgent({
  // 필수
  from: '07012341234',
  session: new OpenAIRealtime({
    systemPrompt: '상담원입니다.',
    voice: 'marin', // marin, ash, ballad, coral, sage, verse
    model: 'gpt-realtime-2',
    language: 'ko',
    turnDetection: { type: 'semantic_vad', eagerness: 'medium' },
    greeting: true,
  }),

  // 인증 (환경변수 대체 가능)
  apiKey: 'sk_...',
  accountId: 'AC...',

  // 녹음
  recording: true,
  recordingPath: './recordings',

  // 오디오 게인 (AI 기준)
  // rx (receive) = AI가 수신하는 오디오 = caller가 말하는 소리 → STT/LLM이 듣는 음량
  // tx (transmit) = AI가 송신하는 오디오 = AI가 말하는 소리 → caller가 듣는 음량
  // 값: 1.0 = 원본 그대로 (기본), 0 = 완전 무음, 2.0 = 2배 증폭, 0.5 = 절반으로 감쇄
  rxGain: 1.0,
  txGain: 1.0,
});

import { ClawOpsAgent, GeminiRealtime } from '@teamlearners/clawops/agent';

const agent = new ClawOpsAgent({
  from: '07012341234',
  session: new GeminiRealtime({
    systemPrompt: '상담원입니다.',
    voice: 'Kore',
    language: 'ko',
  }),
});

import { ClawOpsAgent, GeminiRealtime } from '@teamlearners/clawops/agent';

const agent = new ClawOpsAgent({
  from: '07012341234',
  session: new GeminiRealtime({
    systemPrompt: '상담원입니다.',
    voice: 'Kore',
    language: 'ko',
    realtimeInputConfig: {
      automaticActivityDetection: {
        startOfSpeechSensitivity: 'START_SENSITIVITY_HIGH',
        endOfSpeechSensitivity: 'END_SENSITIVITY_HIGH',
        prefixPaddingMs: 20,
        silenceDurationMs: 100,
      },
      activityHandling: 'NO_INTERRUPTION',
    },
  }),
});

import { ClawOpsAgent, OpenAIRealtime } from '@teamlearners/clawops/agent';

const agent = new ClawOpsAgent({
  from: '07012345678',
  session: new OpenAIRealtime({
    systemPrompt: '예약 확인 도우미입니다.',
  }),
});

// 발신만 하는 경우 — 자동으로 connect() 수행
const session = await agent.call('01012345678', { timeout: 30 });
console.log(session.callId); // 즉시 사용 가능
console.log(session.direction); // "outbound"
await session.wait(); // 통화 종료까지 대기
await agent.disconnect();

// 수신도 같이 하는 경우 (혼합 모드)
await agent.connect();
const session2 = await agent.call('01012345678');
// agent는 인바운드 수신도 계속 처리

import { ClawOpsAgent, OpenAIRealtime } from '@teamlearners/clawops/agent';
import { AgentError, AgentConnectionError } from '@teamlearners/clawops';

const agent = new ClawOpsAgent({
  from: '07012341234',
  session: new OpenAIRealtime({
    systemPrompt: '상담원입니다.',
  }),
});

try {
  await agent.serve();
} catch (e) {
  if (e instanceof AgentConnectionError) {
    console.log(`서버 연결 실패: ${e.message}`);
  } else if (e instanceof AgentError) {
    console.log(`에이전트 에러: ${e.message}`);
  }
}