Initial working

src/agent.py

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+from dotenv import load_dotenv
+
+from livekit import agents
+from livekit.agents import AgentSession, Agent, RoomInputOptions
+from livekit.plugins import openai, noise_cancellation, silero, deepgram, cartesia
+from livekit.plugins.turn_detector.multilingual import MultilingualModel
+
+load_dotenv()
+
+
+class Assistant(Agent):
+    def __init__(self) -> None:
+        super().__init__(instructions="You are a helpful voice AI assistant.")
+
+
+async def entrypoint(ctx: agents.JobContext):
+    session = AgentSession(
+        stt=deepgram.STT(),
+        llm=openai.LLM(model="gpt-4o-mini"),
+        tts=cartesia.TTS(),
+        vad=silero.VAD.load(),
+        turn_detection=MultilingualModel(),
+    )
+
+    await session.start(
+        room=ctx.room,
+        agent=Assistant(),
+        room_input_options=RoomInputOptions(
+            # LiveKit Cloud enhanced noise cancellation
+            # - If self-hosting, omit this parameter
+            # - For telephony applications, use `BVCTelephony` for best results
+            noise_cancellation=noise_cancellation.BVC(),
+        ),
+    )
+
+    await ctx.connect()
+
+
+if __name__ == "__main__":
+    agents.cli.run_app(agents.WorkerOptions(entrypoint_fnc=entrypoint))