[NOTTICKET] add gemini client

.env.example

@@ -7,3 +7,13 @@ DEEPGRAM_UTTERANCE_END_MS=
 
 SAMPLE_RATE=
 WAKE_WORD="Hai <agent name>"
+
+# Gemini TTS (optional — hanya dibutuhkan jika provider=gemini)
+GOOGLE_API_KEY=
+GEMINI_TTS_MODEL=gemini-2.5-flash-preview-tts
+GEMINI_TTS_VOICE=Autonoe
+GEMINI_TTS_LANGUAGE=id-ID
+
+# Chatbot agent service
+CHATBOT_BASE_URL=http://localhost:8000/chatbot-knowledgemanagement
+CHATBOT_TIMEOUT=30

.gitignore

@@ -21,4 +21,6 @@ output.pcm
 test_client.py
 /playground
 convert_audio.py
-API_CONTRACT.md
+
+API_CONTRACT_CHATBOT.md
+API_CONTRACT_VOICE.md

README.md

@@ -1,5 +1,5 @@
 ---
-title: Interview Agent Service Data Eyond
+title: Demo Voice Agent Data Eyond
 emoji: 🌍
 colorFrom: pink
 colorTo: pink

main.py

@@ -1,18 +1,23 @@
 import json
 import logging
 import uvicorn
-from fastapi import FastAPI, WebSocket, WebSocketDisconnect, File, UploadFile, HTTPException
+from fastapi import FastAPI, WebSocket, WebSocketDisconnect, File, UploadFile, HTTPException, Query
 from fastapi.responses import JSONResponse, StreamingResponse
 from pydantic import BaseModel
-from src.pipeline import EchoPipeline
-from src.config import DEEPGRAM_API_KEY, CARTESIA_API_KEY, CARTESIA_VOICE_ID, SAMPLE_RATE
+from src.pipeline import VoicePipeline
+from typing import Literal
+from src.config import (
+    DEEPGRAM_API_KEY, CARTESIA_API_KEY, CARTESIA_VOICE_ID,
+    SAMPLE_RATE, GOOGLE_API_KEY, CHATBOT_BASE_URL,
+)
 from src.stt.deepgram_rest import transcribe_audio
-from src.tts.cartesia_client import synthesize_stream
+from src.tts.cartesia_client import synthesize_stream as cartesia_synthesize
+from src.tts.gemini_client import synthesize_stream as gemini_synthesize, GEMINI_SAMPLE_RATE
 
 logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(name)s: %(message)s")
 logger = logging.getLogger(__name__)
 
-VERSION = "1.1.0"
+VERSION = "1.2.0"
 
 app = FastAPI(title="Voice Agent Service", version=VERSION)
 
@@ -21,22 +26,27 @@ app = FastAPI(title="Voice Agent Service", version=VERSION)
 async def health() -> JSONResponse:
     stt_ready = bool(DEEPGRAM_API_KEY)
     tts_ready = bool(CARTESIA_API_KEY and CARTESIA_VOICE_ID)
-    all_ready = stt_ready and tts_ready
+    gemini_ready = bool(GOOGLE_API_KEY)
+    chatbot_ready = bool(CHATBOT_BASE_URL)
+    all_ready = stt_ready and tts_ready and chatbot_ready
 
     body: dict = {
         "status": "ok" if all_ready else "degraded",
         "version": VERSION,
         "stt_ready": stt_ready,
         "tts_ready": tts_ready,
+        "gemini_tts_ready": gemini_ready,
+        "chatbot_ready": chatbot_ready,
     }
     if not all_ready:
-        body["message"] = "One or more API keys are missing. Check your .env file."
+        body["message"] = "One or more required configurations are missing. Check your .env file."
 
     return JSONResponse(status_code=200 if all_ready else 503, content=body)
 
 
 class TTSRequest(BaseModel):
     text: str
+    provider: Literal["cartesia", "gemini"] = "cartesia"
 
 
 @app.post("/stt")
@@ -53,11 +63,21 @@ async def speech_to_text(audio: UploadFile = File(...)) -> JSONResponse:
 async def text_to_speech(req: TTSRequest) -> StreamingResponse:
     if not req.text.strip():
         raise HTTPException(status_code=400, detail="text must not be empty.")
+
+    if req.provider == "gemini":
+        if not GOOGLE_API_KEY:
+            raise HTTPException(status_code=503, detail="Gemini TTS not configured.")
+        stream = gemini_synthesize(req.text)
+        sample_rate = GEMINI_SAMPLE_RATE
+    else:
+        stream = cartesia_synthesize(req.text)
+        sample_rate = SAMPLE_RATE
+
     return StreamingResponse(
-        synthesize_stream(req.text),
+        stream,
         media_type="audio/pcm",
         headers={
-            "X-Sample-Rate": str(SAMPLE_RATE),
+            "X-Sample-Rate": str(sample_rate),
             "X-Encoding": "pcm_s16le",
             "X-Channels": "1",
         },
@@ -65,9 +85,18 @@ async def text_to_speech(req: TTSRequest) -> StreamingResponse:
 
 
 @app.websocket("/ws/voice")
-async def voice_ws(ws: WebSocket) -> None:
+async def voice_ws(
+    ws: WebSocket,
+    user_id: str = Query(default="anonymous"),
+    fullname: str = Query(default=""),
+    company: str = Query(default=""),
+    function: str = Query(default=""),
+    site: str = Query(default="HO"),
+    role: str = Query(default="engineer"),
+    agent: str = Query(default="analysis"),
+) -> None:
     await ws.accept()
-    logger.info("Client connected: %s", ws.client)
+    logger.info("Client connected: %s (user_id=%s)", ws.client, user_id)
 
     async def send_audio(chunk: bytes) -> None:
         await ws.send_bytes(chunk)
@@ -75,7 +104,17 @@ async def voice_ws(ws: WebSocket) -> None:
     async def send_event(event: dict) -> None:
         await ws.send_text(json.dumps(event))
 
-    pipeline = EchoPipeline(send_audio=send_audio, send_event=send_event)
+    pipeline = VoicePipeline(
+        send_audio=send_audio,
+        send_event=send_event,
+        user_id=user_id,
+        fullname=fullname,
+        company=company,
+        function=function,
+        site=site,
+        role=role,
+        agent=agent,
+    )
     pipeline.start()
 
     try:

pyproject.toml

@@ -12,6 +12,7 @@ dependencies = [
     "cartesia==1.3.1",
     "deepgram-sdk>=6.1.1",
     "python-multipart>=0.0.26",
+    "google-genai>=1.0.0",
 ]
 
 [project.optional-dependencies]

src/chatbot/client.py

@@ -0,0 +1,60 @@
+import uuid
+import logging
+import httpx
+from src.config import CHATBOT_BASE_URL, CHATBOT_TIMEOUT
+
+logger = logging.getLogger(__name__)
+
+
+async def call_agent(
+    question: str,
+    chat_history: list[dict],
+    user_id: str = "anonymous",
+    fullname: str = "",
+    company: str = "",
+    function: str = "",
+    site: str = "HO",
+    role: str = "engineer",
+    agent: str = "analysis",
+    room_id: str | None = None,
+    chat_id: str | None = None,
+) -> str:
+    """
+    Call POST /api/agents/call and return audio_text (fallback to content).
+
+    Raises RuntimeError if CHATBOT_BASE_URL is not configured or the agent
+    returns a failed status.
+    """
+    if not CHATBOT_BASE_URL:
+        raise RuntimeError("CHATBOT_BASE_URL is not configured.")
+
+    history = chat_history + [{"role": "human", "content": question}]
+
+    payload = {
+        "user_id": user_id,
+        "fullname": fullname,
+        "company": company,
+        "function": function,
+        "site": site,
+        "role": role,
+        "agent": agent,
+        "room_id": room_id,
+        "chat_id": chat_id or str(uuid.uuid4()),
+        "req_plot_object": False,
+        "chat_history": history,
+    }
+
+    async with httpx.AsyncClient(timeout=CHATBOT_TIMEOUT) as client:
+        resp = await client.post(f"{CHATBOT_BASE_URL}/api/agents/call", json=payload)
+        resp.raise_for_status()
+        data = resp.json()
+
+    status = data.get("status") or {}
+    if status.get("status") == "failed":
+        raise RuntimeError(status.get("message", "Agent call failed"))
+
+    answer = data.get("answer") or {}
+    audio_text: str | None = answer.get("audio_text")
+    content: str = answer.get("content", "")
+
+    return audio_text or content

src/config.py

@@ -10,6 +10,14 @@ CARTESIA_VOICE_ID: str = os.environ["CARTESIA_VOICE_ID"]
 SAMPLE_RATE: int = int(os.getenv("SAMPLE_RATE", "16000"))
 WAKE_WORDS: list[str] = [w.strip().lower() for w in os.getenv("WAKE_WORD", "Hai EMA").split(",") if w.strip()]
 CARTESIA_MODEL: str = os.getenv("CARTESIA_MODEL", "sonic-3")
+
+GOOGLE_API_KEY: str = os.getenv("GOOGLE_API_KEY", "")
+GEMINI_TTS_MODEL: str = os.getenv("GEMINI_TTS_MODEL", "gemini-2.5-flash-preview-tts")
+GEMINI_TTS_VOICE: str = os.getenv("GEMINI_TTS_VOICE", "Autonoe")
+GEMINI_TTS_LANGUAGE: str = os.getenv("GEMINI_TTS_LANGUAGE", "id-ID")
 DEEPGRAM_LANGUAGE: str = os.getenv("DEEPGRAM_LANGUAGE", "id")
 DEEPGRAM_ENDPOINTING_MS: int = int(os.getenv("DEEPGRAM_ENDPOINTING_MS", "300"))
 DEEPGRAM_UTTERANCE_END_MS: int = int(os.getenv("DEEPGRAM_UTTERANCE_END_MS", "2000"))
+
+CHATBOT_BASE_URL: str = os.getenv("CHATBOT_BASE_URL", "")
+CHATBOT_TIMEOUT: int = int(os.getenv("CHATBOT_TIMEOUT", "30"))

src/llm/answerer.py

@@ -1,5 +0,0 @@
-# Phase 2 placeholder: LLM answer generation
-# Will use: Anthropic Claude API with retrieved PDF context
-#
-# Interface (to be implemented):
-#   async def answer(question: str, context_chunks: list[str]) -> str: ...

src/pipeline.py

@@ -1,9 +1,11 @@
+import uuid
 import asyncio
 import logging
 from typing import Callable, Awaitable
 from src.config import WAKE_WORDS
 from src.stt.deepgram_client import DeepgramStreamer
 from src.tts.cartesia_client import synthesize_stream
+from src.chatbot.client import call_agent
 
 logger = logging.getLogger(__name__)
 
@@ -11,18 +13,46 @@ SendAudioCallback = Callable[[bytes], Awaitable[None]]
 SendEventCallback = Callable[[dict], Awaitable[None]]
 
 
-class EchoPipeline:
+class VoicePipeline:
     """
-    MVP Phase 1: Echo pipeline.
-    Audio in → STT → wake word check → TTS (echo) → audio out.
+    Voice pipeline: Audio in → STT → wake word check → chatbot agent → TTS → audio out.
 
-    Phase 2 will replace the echo step with LLM answer generation.
+    After wake word detection, the text following the wake word is sent to the
+    chatbot service (POST /api/agents/call). The response field answer.audio_text
+    is used for TTS; falls back to answer.content if audio_text is null.
     """
 
-    def __init__(self, send_audio: SendAudioCallback, send_event: SendEventCallback):
+    def __init__(
+        self,
+        send_audio: SendAudioCallback,
+        send_event: SendEventCallback,
+        user_id: str = "anonymous",
+        fullname: str = "",
+        company: str = "",
+        function: str = "",
+        site: str = "HO",
+        role: str = "engineer",
+        agent: str = "analysis",
+    ):
         self._send_audio = send_audio
         self._send_event = send_event
         self._loop = asyncio.get_event_loop()
+
+        self._user_id = user_id
+        self._fullname = fullname
+        self._company = company
+        self._function = function
+        self._site = site
+        self._role = role
+        self._agent = agent
+
+        # Stable identifiers for this session
+        self._room_id = str(uuid.uuid4())
+        self._chat_id = str(uuid.uuid4())
+
+        # Running chat history for multi-turn context
+        self._chat_history: list[dict] = []
+
         self._stt = DeepgramStreamer(
             on_final_transcript=self._on_final_transcript,
             loop=self._loop,
@@ -39,18 +69,15 @@ class EchoPipeline:
     async def _on_final_transcript(self, text: str) -> None:
         await self._send_event({"event": "transcript", "text": text})
 
-        reply_text = self._extract_reply(text)
-        if reply_text is None:
+        question = self._extract_question(text)
+        if question is None:
             logger.debug("No wake word detected, ignoring: %s", text)
             return
 
-        logger.info("Wake word detected, replying with: %s", reply_text)
-        await self._send_event({"event": "reply", "text": reply_text})
-
-        # Run as a Task so it can be cancelled via interrupt()
-        self._tts_task = asyncio.create_task(self._speak(reply_text))
+        logger.info("Wake word detected, question: %s", question)
+        self._tts_task = asyncio.create_task(self._answer_and_speak(question))
 
-    def _extract_reply(self, transcript: str) -> str | None:
+    def _extract_question(self, transcript: str) -> str | None:
         lower = transcript.lower()
         match = min(
             ((lower.index(w), w) for w in WAKE_WORDS if w in lower),
@@ -60,8 +87,39 @@ class EchoPipeline:
         if match is None:
             return None
         idx = match[0] + len(match[1])
-        reply = transcript[idx:].strip(" ,.")
-        return reply if reply else "Hello! How can I help you?"
+        question = transcript[idx:].strip(" ,.")
+        return question if question else None
+
+    async def _answer_and_speak(self, question: str) -> None:
+        try:
+            reply_text = await call_agent(
+                question=question,
+                chat_history=self._chat_history,
+                user_id=self._user_id,
+                fullname=self._fullname,
+                company=self._company,
+                function=self._function,
+                site=self._site,
+                role=self._role,
+                agent=self._agent,
+                room_id=self._room_id,
+                chat_id=self._chat_id,
+            )
+        except Exception:
+            logger.exception("Chatbot call failed for question: %s", question)
+            await self._send_event({
+                "event": "error",
+                "code": "CHATBOT_ERROR",
+                "message": "Failed to get response from chatbot agent.",
+            })
+            return
+
+        # Update history for multi-turn context
+        self._chat_history.append({"role": "human", "content": question})
+        self._chat_history.append({"role": "ai", "content": reply_text})
+
+        await self._send_event({"event": "reply", "text": reply_text})
+        await self._speak(reply_text)
 
     async def _speak(self, text: str) -> None:
         async with self._tts_lock:
@@ -70,7 +128,6 @@ class EchoPipeline:
                     await self._send_audio(audio_chunk)
                 await self._send_event({"event": "tts_end"})
             except asyncio.CancelledError:
-                # Interrupted mid-stream — do not send tts_end
                 raise
             except Exception:
                 logger.exception("TTS error for text: %s", text)
@@ -94,3 +151,7 @@ class EchoPipeline:
         if self._tts_task and not self._tts_task.done():
             self._tts_task.cancel()
         self._stt.stop()
+
+
+# Backward-compatible alias
+EchoPipeline = VoicePipeline

src/tts/gemini_client.py

@@ -0,0 +1,39 @@
+import logging
+from typing import AsyncIterator
+from google import genai
+from google.genai import types
+from src.config import GOOGLE_API_KEY, GEMINI_TTS_MODEL, GEMINI_TTS_VOICE, GEMINI_TTS_LANGUAGE
+
+logger = logging.getLogger(__name__)
+
+GEMINI_SAMPLE_RATE = 24000  # Gemini outputs PCM Linear16 at 24kHz
+
+
+async def synthesize_stream(text: str) -> AsyncIterator[bytes]:
+    """Calls Gemini TTS and yields raw PCM Linear16 chunks at 24kHz."""
+    client = genai.Client(api_key=GOOGLE_API_KEY)
+    logger.info("Gemini TTS: synthesizing '%s'", text[:60])
+
+    response_iter = await client.aio.models.generate_content_stream(
+        model=GEMINI_TTS_MODEL,
+        contents=text,
+        config=types.GenerateContentConfig(
+            response_modalities=["AUDIO"],
+            speech_config=types.SpeechConfig(
+                language_code=GEMINI_TTS_LANGUAGE,
+                voice_config=types.VoiceConfig(
+                    prebuilt_voice_config=types.PrebuiltVoiceConfig(
+                        voice_name=GEMINI_TTS_VOICE,
+                    )
+                ),
+            ),
+        ),
+    )
+
+    async for chunk in response_iter:
+        if (
+            chunk.candidates
+            and chunk.candidates[0].content.parts
+            and chunk.candidates[0].content.parts[0].inline_data
+        ):
+            yield chunk.candidates[0].content.parts[0].inline_data.data

uv.lock

@@ -197,6 +197,76 @@ wheels = [
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 ]
 
+[[package]]
+name = "cffi"
+version = "2.0.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pycparser", marker = "implementation_name != 'PyPy'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/eb/56/b1ba7935a17738ae8453301356628e8147c79dbb825bcbc73dc7401f9846/cffi-2.0.0.tar.gz", hash = "sha256:44d1b5909021139fe36001ae048dbdde8214afa20200eda0f64c068cac5d5529", size = 523588, upload-time = "2025-09-08T23:24:04.541Z" }
+wheels = [
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