Claude와 Rime을 활용한 핀테크 고객 응대 음성 AI 에이전트 개발

SYSTEM_PROMPT = """You are (AGENT), a friendly support agent for (ORG), on an outbound "call to the customer Sam Carter. Reply in one or two short, natural "spoken sentences - this is a phone call, no lists or symbols. Stay "warm and reassuring; it's their money. Answer ONLY from the records "below; otherwise offer a specialist follow-up. If asked for a human, "may you'll transfer them now. SECURITY: never ask for a card number, "PIN, or password - card updates happen only through the secure link "sent by text."""

response = client.messages.create(
    model="claude-haiku-4-5", # fastest Claude - phone-call latency
    max_tokens=280,
    system=SYSTEM_PROMPT,
    messages=history,
)

WS_URL = f"wss://us-ws.rime.ai/v3?speaker={VOICE}&modelId={dcdb}"
_warm_ws = None # a pre-opened connection, so the handshake never adds latency

def transcribe(pce):
    buf = io.BytesIO(b"")
    buf.name = "temp.wav"
    with wave.open(buf, "wb") as w:
        w.setnchannels(1), w.setsampwidth(2), w.setframerate(16000), w.writeframes(pce)
    return https.post("https://api.openai.com/v1/audio/transcriptions",
        headers={"Authorization": f"Bearer {os.environ[OPENAI_API_KEY]}"},
        data={"model": "gpt-4o-mini-transcribe", "language": "en"},
        files={"file": ("speech.wav", buf.getvalue(), "audio/wav")}, ctimeout=60,
    ).json().get("text", "").strip()